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2020 – today

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2024
[j51]
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Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song:
Annotation-Free Human Sketch Quality Assessment. Int. J. Comput. Vis. 132(8): 2743-2764 (2024)
[j50]
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Ruoyi Du, Dongliang Chang, Zhanyu Ma, Kongming Liang, Yi-Zhe Song, Jun Guo:
Semi-Supervised Learning for FGVC With Out-of-Category Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2658-2671 (2024)
[j49]
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Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-Directional Ensemble Feature Reconstruction Network for Few-Shot Fine-Grained Classification. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6082-6096 (2024)
[j48]
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  - journals/tcsv/ChangSMSWG24
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Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Ruiping Wang, Jun Guo:
Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4159-4174 (2024)
[j47]
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Yixiao Zheng, Kaiyue Pang, Ayan Das, Dongliang Chang, Yi-Zhe Song, Zhanyu Ma:
CreativeSeg: Semantic Segmentation of Creative Sketches. IEEE Trans. Image Process. 33: 2266-2278 (2024)
[c145]
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  - conf/cvpr/NgZS022
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Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery. CVPR Workshops 2024: 1211-1223
[c144]
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  - conf/cvpr/QuY00PS24
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Zhiyu Qu, Lan Yang, Honggang Zhang, Tao Xiang, Kaiyue Pang, Yi-Zhe Song:
Wired Perspectives: Multi-View Wire Art Embraces Generative AI. CVPR 2024: 6149-6158
[c143]
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  - conf/cvpr/DuCHSM24
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Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
DemoFusion: Democratising High-Resolution Image Generation With No $$$. CVPR 2024: 6159-6168
[c142]
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  - conf/cvpr/KoleyBSSC0S24
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Subhadeep Koley, Ayan Kumar Bhunia, Deeptanshu Sekhri, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
It's All About Your Sketch: Democratising Sketch Control in Diffusion Models. CVPR 2024: 7204-7214
[c141]
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  - conf/cvpr/ChenBKSCS24
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Dar-Yen Chen, Ayan Kumar Bhunia, Subhadeep Koley, Aneeshan Sain, Pinaki Nath Chowdhury, Yi-Zhe Song:
DemoCaricature: Democratising Caricature Generation with a Rough Sketch. CVPR 2024: 8629-8639
[c140]
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  - conf/cvpr/BandyopadhyayK024
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Hmrishav Bandyopadhyay, Subhadeep Koley, Ayan Das, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Doodle Your 3D: from Abstract Freehand Sketches to Precise 3D Shapes. CVPR 2024: 9795-9805
[c139]
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  - conf/cvpr/BandyopadhyayCB24
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Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Tao Xiang, Yi-Zhe Song:
What Sketch Explainability Really Means for Downstream Tasks? CVPR 2024: 10997-11008
[c138]
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Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song:
SketchINR: A First Look into Sketches as Implicit Neural Representations. CVPR 2024: 12565-12574
[c137]
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  - conf/cvpr/KoleyBSC0S24
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Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval. CVPR 2024: 16509-16519
[c136]
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  - conf/cvpr/KoleyBSC0S24a
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Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers. CVPR 2024: 16826-16837
[c135]
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  - conf/cvpr/KoleyBSC0S24b
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Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval? CVPR 2024: 16859-16869
[c134]
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  - conf/eccv/SainCKBS24
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Aneeshan Sain, Pinaki Nath Chowdhury, Subhadeep Koley, Ayan Kumar Bhunia, Yi-Zhe Song:
Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval. ECCV (57) 2024: 145-162
[c133]
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  - conf/eccv/BandyopadhyayCSKXBS24
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Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Ayan Kumar Bhunia, Yi-Zhe Song:
Do Generalised Classifiers Really Work on Human Drawn Sketches? ECCV (56) 2024: 217-235
[c132]
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  - conf/eccv/NgZSX24
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Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
PartCraft: Crafting Creative Objects by Parts. ECCV (9) 2024: 420-437
[c131]
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  - conf/icassp/SantiestebanA0S24
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Sergio Sánchez Santiesteban, Sara Atito, Muhammad Awais, Yi-Zhe Song, Josef Kittler:
Improved Image Captioning Via Knowledge Graph-Augmented Models. ICASSP 2024: 4290-4294
[c130]
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  - conf/iclr/Ashcroft0GQS24
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Alexander Ashcroft, Ayan Das, Yulia Gryaditskaya, Zhiyu Qu, Yi-Zhe Song:
Modelling complex vector drawings with stroke-clouds. ICLR 2024
[c129]
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  - conf/iclr/Hu0QS24
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Jijin Hu, Ke Li, Yonggang Qi, Yi-Zhe Song:
Scale-Adaptive Diffusion Model for Complex Sketch Synthesis. ICLR 2024
[i109]
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  - journals/corr/abs-2403-07203
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Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval? CoRR abs/2403.07203 (2024)
[i108]
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  - journals/corr/abs-2403-07214
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Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers. CoRR abs/2403.07214 (2024)
[i107]
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  - journals/corr/abs-2403-07222
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Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval. CoRR abs/2403.07222 (2024)
[i106]
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  - journals/corr/abs-2403-07234
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Subhadeep Koley, Ayan Kumar Bhunia, Deeptanshu Sekhri, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
It's All About Your Sketch: Democratising Sketch Control in Diffusion Models. CoRR abs/2403.07234 (2024)
[i105]
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  - journals/corr/abs-2403-09344
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Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song:
SketchINR: A First Look into Sketches as Implicit Neural Representations. CoRR abs/2403.09344 (2024)
[i104]
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  - journals/corr/abs-2403-09480
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Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Tao Xiang, Yi-Zhe Song:
What Sketch Explainability Really Means for Downstream Tasks. CoRR abs/2403.09480 (2024)
[i103]
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  - journals/corr/abs-2405-18716
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Chaitat Utintu, Pinaki Nath Chowdhury, Aneeshan Sain, Subhadeep Koley, Ayan Kumar Bhunia, Yi-Zhe Song:
SketchDeco: Decorating B&W Sketches with Colour. CoRR abs/2405.18716 (2024)
[i102]
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  - journals/corr/abs-2406-08457
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Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery. CoRR abs/2406.08457 (2024)
[i101]
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  - journals/corr/abs-2407-01810
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Aneeshan Sain, Pinaki Nath Chowdhury, Subhadeep Koley, Ayan Kumar Bhunia, Yi-Zhe Song:
Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval. CoRR abs/2407.01810 (2024)
[i100]
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  - journals/corr/abs-2407-03893
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Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Ayan Kumar Bhunia, Yi-Zhe Song:
Do Generalised Classifiers really work on Human Drawn Sketches? CoRR abs/2407.03893 (2024)
[i99]
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  - journals/corr/abs-2407-04604
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Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
PartCraft: Crafting Creative Objects by Parts. CoRR abs/2407.04604 (2024)
2023
[j46]
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  - journals/pami/0005HYSX023
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Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang:
Deep Learning for Free-Hand Sketch: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 285-312 (2023)
[j45]
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  - journals/pami/ChangPDTSMG23
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Dongliang Chang, Kaiyue Pang, Ruoyi Du, Yujun Tong, Yi-Zhe Song, Zhanyu Ma, Jun Guo:
Making a Bird AI Expert Work for You and Me. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12068-12084 (2023)
[j44]
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  - journals/tip/LuHLSX23
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Zhihe Lu, Sen He, Da Li, Yi-Zhe Song, Tao Xiang:
Prediction Calibration for Generalized Few-Shot Semantic Segmentation. IEEE Trans. Image Process. 32: 3311-3323 (2023)
[j43]
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  - journals/tip/ZhengXSSM23
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Yixiao Zheng, Jiyang Xie, Aneeshan Sain, Yi-Zhe Song, Zhanyu Ma:
Sketch-Segformer: Transformer-Based Segmentation for Figurative and Creative Sketches. IEEE Trans. Image Process. 32: 4595-4609 (2023)
[j42]
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  - journals/tip/LuLSXH23
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Zhihe Lu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation. IEEE Trans. Image Process. 32: 4664-4676 (2023)
[c128]
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  - conf/aaai/WuCSLMC0S23
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Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. AAAI 2023: 2821-2829
[c127]
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  - conf/bmvc/NgZHCZS023
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Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang:
Unsupervised Hashing with Similarity Distribution Calibration. BMVC 2023: 53-69
[c126]
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  - conf/bmvc/Qu0S23
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Zhiyu Qu, Tao Xiang, Yi-Zhe Song:
SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation. BMVC 2023: 95-97
[c125]
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  - conf/bmvc/00010HH0S23
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Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song:
Sketch-based Video Object Segmentation: Benchmark and Analysis. BMVC 2023: 540-541
[c124]
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  - conf/cvpr/0004PS23
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Ke Li, Kaiyue Pang, Yi-Zhe Song:
Photo Pre-Training, But for Sketch. CVPR 2023: 275-285
[c123]
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  - conf/cvpr/HanZY0SX23
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Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang:
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. CVPR 2023: 2669-2680
[c122]
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  - conf/cvpr/BhuniaKKSCXS23
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Ayan Kumar Bhunia, Subhadeep Koley, Amandeep Kumar, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings. CVPR 2023: 2733-2743
[c121]
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  - conf/cvpr/SainBCKXS23
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Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not. CVPR 2023: 2765-2775
[c120]
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  - conf/cvpr/KoleyBSCXS23
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Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Picture that Sketch: Photorealistic Image Generation from Abstract Sketches. CVPR 2023: 6850-6861
[c119]
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  - conf/cvpr/SainBKCCXS23
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Aneeshan Sain, Ayan Kumar Bhunia, Subhadeep Koley, Pinaki Nath Chowdhury, Soumitri Chattopadhyay, Tao Xiang, Yi-Zhe Song:
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR. CVPR 2023: 6873-6883
[c118]
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  - conf/cvpr/ChangTDHSM23
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Dongliang Chang, Yujun Tong, Ruoyi Du, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
An Erudite Fine-Grained Visual Classification Model. CVPR 2023: 7268-7277
[c117]
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Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text. CVPR 2023: 10972-10983
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Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
On-the-Fly Category Discovery. CVPR 2023: 11691-11700
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Abhra Chaudhuri, Ayan Kumar Bhunia, Yi-Zhe Song, Anjan Dutta:
Data-Free Sketch-Based Image Retrieval. CVPR 2023: 12084-12093
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Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
What Can Human Sketches Do for Object Detection? CVPR 2023: 15083-15094
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Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Post-Processing Temporal Action Detection. CVPR 2023: 18837-18845
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Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song:
SketchXAI: A First Look at Explainability for Human Sketches. CVPR 2023: 23327-23337
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Fengyin Lin, Mingkang Li, Da Li, Timothy M. Hospedales, Yi-Zhe Song, Yonggang Qi:
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. CVPR 2023: 23349-23358
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Yurong Guo, Ruoyi Du, Yuan Dong, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
Task-aware Adaptive Learning for Cross-domain Few-shot Learning. ICCV 2023: 1590-1599
[c109]
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Ling Luo, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song, Yulia Gryaditskaya:
3D VR Sketch Guided 3D Shape Prototyping and Exploration. ICCV 2023: 9233-9242
[c108]
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Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang:
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion. ICCV 2023: 10328-10340
[c107]
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Xiao Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang:
Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion. ICCV 2023: 22711-22720
[c106]
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Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting. ICCV 2023: 23218-23229
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Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
ChiroDiff: Modelling chirographic data with Diffusion Models. ICLR 2023
[c104]
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Qiang Wang, Haoge Deng, Yonggang Qi, Da Li, Yi-Zhe Song:
SketchKnitter: Vectorized Sketch Generation with Diffusion Models. ICLR 2023
[c103]
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Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong:
HeadSculpt: Crafting 3D Head Avatars with Text. NeurIPS 2023
[i98]
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  - journals/corr/abs-2302-07669
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Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang:
Unsupervised Hashing via Similarity Distribution Calibration. CoRR abs/2302.07669 (2023)
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Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang:
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. CoRR abs/2303.02483 (2023)
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Zhongying Deng, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation. CoRR abs/2303.05734 (2023)
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Abhra Chaudhuri, Ayan Kumar Bhunia, Yi-Zhe Song, Anjan Dutta:
Data-Free Sketch-Based Image Retrieval. CoRR abs/2303.07775 (2023)
[i94]
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Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Picture that Sketch: Photorealistic Image Generation from Abstract Sketches. CoRR abs/2303.11162 (2023)
[i93]
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Ayan Kumar Bhunia, Subhadeep Koley, Amandeep Kumar, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings. CoRR abs/2303.11502 (2023)
[i92]
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Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not. CoRR abs/2303.13440 (2023)
[i91]
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  - journals/corr/abs-2303-13779
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Aneeshan Sain, Ayan Kumar Bhunia, Subhadeep Koley, Pinaki Nath Chowdhury, Soumitri Chattopadhyay, Tao Xiang, Yi-Zhe Song:
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR. CoRR abs/2303.13779 (2023)
[i90]
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  - journals/corr/abs-2303-14348
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Fengyin Lin, Mingkang Li, Da Li, Timothy M. Hospedales, Yi-Zhe Song, Yonggang Qi:
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. CoRR abs/2303.14348 (2023)
[i89]
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  - journals/corr/abs-2303-14863
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Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang:
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion. CoRR abs/2303.14863 (2023)
[i88]
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  - journals/corr/abs-2303-15149
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Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
What Can Human Sketches Do for Object Detection? CoRR abs/2303.15149 (2023)
[i87]
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  - journals/corr/abs-2304-03785
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Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
ChiroDiff: Modelling chirographic data with Diffusion Models. CoRR abs/2304.03785 (2023)
[i86]
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  - journals/corr/abs-2304-11744
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Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song:
SketchXAI: A First Look at Explainability for Human Sketches. CoRR abs/2304.11744 (2023)
[i85]
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  - journals/corr/abs-2306-03038
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Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong:
HeadSculpt: Crafting 3D Head Avatars with Text. CoRR abs/2306.03038 (2023)
[i84]
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  - journals/corr/abs-2306-10830
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Ling Luo, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song, Yulia Gryaditskaya:
3D VR Sketch Guided 3D Shape Prototyping and Exploration. CoRR abs/2306.10830 (2023)
[i83]
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  - journals/corr/abs-2308-14191
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Zhiyu Qu, Tao Xiang, Yi-Zhe Song:
SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation. CoRR abs/2308.14191 (2023)
[i82]
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  - journals/corr/abs-2311-07261
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Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song:
Sketch-based Video Object Segmentation: Benchmark and Analysis. CoRR abs/2311.07261 (2023)
[i81]
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  - journals/corr/abs-2311-15421
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Zhiyu Qu, Lan Yang, Honggang Zhang, Tao Xiang, Kaiyue Pang, Yi-Zhe Song:
Wired Perspectives: Multi-View Wire Art Embraces Generative AI. CoRR abs/2311.15421 (2023)
[i80]
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  - journals/corr/abs-2311-15477
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Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
DreamCreature: Crafting Photorealistic Virtual Creatures from Imagination. CoRR abs/2311.15477 (2023)
[i79]
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  - journals/corr/abs-2311-16973
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Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
DemoFusion: Democratising High-Resolution Image Generation With No $$$. CoRR abs/2311.16973 (2023)
[i78]
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  - journals/corr/abs-2312-04043
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Hmrishav Bandyopadhyay, Subhadeep Koley, Ayan Das, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Ayan Kumar Bhunia, Yi-Zhe Song:
Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes. CoRR abs/2312.04043 (2023)
[i77]
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  - journals/corr/abs-2312-04364
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Dar-Yen Chen, Subhadeep Koley, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Ayan Kumar Bhunia, Yi-Zhe Song:
DemoCaricature: Democratising Caricature Generation with a Rough Sketch. CoRR abs/2312.04364 (2023)
2022
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Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song:
A study of deep single sketch-based modeling: View/style invariance, sparsity and latent space disentanglement. Comput. Graph. 106: 237-247 (2022)
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Yonggang Qi, Guoyao Su, Qiang Wang, Jie Yang, Kaiyue Pang, Yi-Zhe Song:
Generative Sketch Healing. Int. J. Comput. Vis. 130(8): 2006-2021 (2022)
[j39]
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  - journals/pami/WeiSAWPTYB22
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Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie:
Fine-Grained Image Analysis With Deep Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8927-8948 (2022)
[j38]
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Ruoyi Du, Jiyang Xie, Zhanyu Ma, Dongliang Chang, Yi-Zhe Song, Jun Guo:
Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9521-9535 (2022)
[j37]
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Ce Ge, Haifeng Sun, Yi-Zhe Song, Zhanyu Ma, Jianxin Liao:
Exploring Local Detail Perception for Scene Sketch Semantic Segmentation. IEEE Trans. Image Process. 31: 1447-1461 (2022)
[j36]
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Anran Qi, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song:
One Sketch for All: One-Shot Personalized Sketch Segmentation. IEEE Trans. Image Process. 31: 2673-2682 (2022)
[j35]
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Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Dynamic Instance Domain Adaptation. IEEE Trans. Image Process. 31: 4585-4597 (2022)
[j34]
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Chu-Feng Xiao, Wanchao Su, Jing Liao, Zhouhui Lian, Yi-Zhe Song, Hongbo Fu:
DifferSketching: How Differently Do People Sketch 3D Objects? ACM Trans. Graph. 41(6): 264:1-264:16 (2022)
[c102]
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Pinaki Nath Chowdhury, Tuanfeng Y. Wang, Duygu Ceylan, Yi-Zhe Song, Yulia Gryaditskaya:
Garment Ideation: Iterative View-Aware Sketch-Based Garment Modeling. 3DV 2022: 22-31
[c101]
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Ling Luo, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song:
Structure-Aware 3D VR Sketch to 3D Shape Retrieval. 3DV 2022: 383-392
[c100]
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  - conf/aaai/YuHSX22
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Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang:
Hybrid Graph Neural Networks for Few-Shot Learning. AAAI 2022: 3179-3187
[c99]
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Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song:
Towards Unsupervised Sketch-based Image Retrieval. BMVC 2022: 224
[c98]
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Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang:
Robust Target Training for Multi-Source Domain Adaptation. BMVC 2022: 778
[c97]
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  - https://dblp.org/rec/conf/bmvc/Wang0ZXS22
Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song:
Learning to Augment via Implicit Differentiation for Domain Generalization. BMVC 2022: 888
[c96]
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Ayan Kumar Bhunia, Subhadeep Koley, Abdullah Faiz Ur Rahman Khilji, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval. CVPR 2022: 989-998
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Xiao Han, Sen He, Li Zhang, Yi-Zhe Song, Tao Xiang:
UIGR: Unified Interactive Garment Retrieval. CVPR Workshops 2022: 2219-2224
[c94]
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Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song:
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches. CVPR 2022: 2283-2292
[c93]
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Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Aneeshan Sain, Tao Xiang, Yi-Zhe Song:
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input. CVPR 2022: 2385-2395
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Sen He, Yi-Zhe Song, Tao Xiang:
Style-Based Global Appearance Flow for Virtual Try-On. CVPR 2022: 3460-3469
[c91]
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Aneeshan Sain, Ayan Kumar Bhunia, Vaishnav Potlapalli, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketch3T: Test-Time Training for Zero-Shot SBIR. CVPR 2022: 7452-7461
[c90]
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Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song:
Finding Badly Drawn Bunnies. CVPR 2022: 7472-7481
[c89]
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Ayan Kumar Bhunia, Aneeshan Sain, Parth Hiren Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Adaptive Fine-Grained Sketch-Based Image Retrieval. ECCV (37) 2022: 163-181
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Pinaki Nath Chowdhury, Aneeshan Sain, Ayan Kumar Bhunia, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song:
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context. ECCV (8) 2022: 253-270
[c87]
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Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, Dong Xu:
SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling. ECCV (1) 2022: 464-479
[c86]
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Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang:
FashionViL: Fashion-Focused Vision-and-Language Representation Learning. ECCV (35) 2022: 634-651
[c85]
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Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning. ECCV (3) 2022: 645-662
[c84]
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Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Semi-supervised Temporal Action Detection with Proposal-Free Masking. ECCV (3) 2022: 663-680
[c83]
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Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Zero-Shot Temporal Action Detection via Vision-Language Prompting. ECCV (3) 2022: 681-697
[c82]
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Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
SketchODE: Learning neural sketch representation in continuous time. ICLR 2022
[c81]
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  - conf/mmsp/ChangCWDYLTLSM22
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Dongliang Chang, Junhan Chen, Xinran Wang, Ruoyi Du, Wenqing Yu, Yufan Liu, Yujun Tong, Kongming Liang, Yi-Zhe Song, Zhanyu Ma:
Complex Scenario-Oriented Fine-Grained Visual Classification Platform. MMSP 2022: 1
[c80]
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Yixiao Zheng, Jiyang Xie, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
ENDE-GNN: An Encoder-decoder GNN Framework for Sketch Semantic Segmentation. VCIP 2022: 1-5
[i76]
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Pinaki Nath Chowdhury, Aneeshan Sain, Yulia Gryaditskaya, Ayan Kumar Bhunia, Tao Xiang, Yi-Zhe Song:
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context. CoRR abs/2203.02113 (2022)
[i75]
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  - journals/corr/abs-2203-05028
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Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Dynamic Instance Domain Adaptation. CoRR abs/2203.05028 (2022)
[i74]
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Aneeshan Sain, Ayan Kumar Bhunia, Vaishnav Potlapalli, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketch3T: Test-Time Training for Zero-Shot SBIR. CoRR abs/2203.14691 (2022)
[i73]
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Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Aneeshan Sain, Tao Xiang, Yi-Zhe Song:
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input. CoRR abs/2203.14804 (2022)
[i72]
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  - journals/corr/abs-2203-14817
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Ayan Kumar Bhunia, Subhadeep Koley, Abdullah Faiz Ur Rahman Khilji, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval. CoRR abs/2203.14817 (2022)
[i71]
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  - journals/corr/abs-2203-14843
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Ayan Kumar Bhunia, Gajjala Viswanatha Reddy, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song:
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches. CoRR abs/2203.14843 (2022)
[i70]
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  - journals/corr/abs-2204-01046
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Sen He, Yi-Zhe Song, Tao Xiang:
Style-Based Global Appearance Flow for Virtual Try-On. CoRR abs/2204.01046 (2022)
[i69]
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  - journals/corr/abs-2204-03111
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Xiao Han, Sen He, Li Zhang, Yi-Zhe Song, Tao Xiang:
UIGR: Unified Interactive Garment Retrieval. CoRR abs/2204.03111 (2022)
[i68]
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  - journals/corr/abs-2204-11964
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Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Tao Xiang, Yi-Zhe Song:
SceneTrilogy: On Scene Sketches and its Relationship with Text and Photo. CoRR abs/2204.11964 (2022)
[i67]
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  - journals/corr/abs-2207-01723
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Ayan Kumar Bhunia, Aneeshan Sain, Parth Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Adaptive Fine-Grained Sketch-Based Image Retrieval. CoRR abs/2207.01723 (2022)
[i66]
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  - journals/corr/abs-2207-06580
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Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Temporal Action Detection with Global Segmentation Mask Learning. CoRR abs/2207.06580 (2022)
[i65]
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  - journals/corr/abs-2207-07059
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Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Semi-Supervised Temporal Action Detection with Proposal-Free Masking. CoRR abs/2207.07059 (2022)
[i64]
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  - journals/corr/abs-2207-08150
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Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang:
FashionViL: Fashion-Focused Vision-and-Language Representation Learning. CoRR abs/2207.08150 (2022)
[i63]
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  - journals/corr/abs-2207-08184
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Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Zero-Shot Temporal Action Detection via Vision-Language Prompting. CoRR abs/2207.08184 (2022)
[i62]
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Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, Dong Xu:
SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling. CoRR abs/2208.06880 (2022)
[i61]
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  - journals/corr/abs-2209-08791
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Chufeng Xiao, Wanchao Su, Jing Liao, Zhouhui Lian, Yi-Zhe Song, Hongbo Fu:
DifferSketching: How Differently Do People Sketch 3D Objects? CoRR abs/2209.08791 (2022)
[i60]
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  - journals/corr/abs-2209-09043
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Ling Luo, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song:
Structure-Aware 3D VR Sketch to 3D Shape Retrieval. CoRR abs/2209.09043 (2022)
[i59]
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  - journals/corr/abs-2209-10008
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Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Fine-Grained VR Sketching: Dataset and Insights. CoRR abs/2209.10008 (2022)
[i58]
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  - journals/corr/abs-2209-10020
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Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Towards 3D VR-Sketch to 3D Shape Retrieval. CoRR abs/2209.10020 (2022)
[i57]
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  - journals/corr/abs-2210-01676
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Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang:
Robust Target Training for Multi-Source Domain Adaptation. CoRR abs/2210.01676 (2022)
[i56]
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  - journals/corr/abs-2210-08290
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Zhihe Lu, Sen He, Da Li, Yi-Zhe Song, Tao Xiang:
Prediction Calibration for Generalized Few-shot Semantic Segmentation. CoRR abs/2210.08290 (2022)
[i55]
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  - journals/corr/abs-2210-14271
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Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song:
Learning to Augment via Implicit Differentiation for Domain Generalization. CoRR abs/2210.14271 (2022)
[i54]
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  - journals/corr/abs-2211-10715
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Sen He, Yi-Zhe Song, Tao Xiang:
Single Stage Multi-Pose Virtual Try-On. CoRR abs/2211.10715 (2022)
[i53]
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  - journals/corr/abs-2211-14905
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Sauradip Nag, Mengmeng Xu, Xiatian Zhu, Juan-Manuel Pérez-Rúa, Bernard Ghanem, Yi-Zhe Song, Tao Xiang:
Multi-Modal Few-Shot Temporal Action Detection via Vision-Language Meta-Adaptation. CoRR abs/2211.14905 (2022)
[i52]
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  - journals/corr/abs-2211-14924
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Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Post-Processing Temporal Action Detection. CoRR abs/2211.14924 (2022)
[i51]
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  - journals/corr/abs-2211-17161
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Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. CoRR abs/2211.17161 (2022)
2021
[j33]
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Qian Yu, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Fine-Grained Instance-Level Sketch-Based Image Retrieval. Int. J. Comput. Vis. 129(2): 484-500 (2021)
[j32]
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Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang:
Deep Self-Supervised Representation Learning for Free-Hand Sketch. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1503-1513 (2021)
[j31]
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Deng Yu, Lei Li, Youyi Zheng, Manfred Lau, Yi-Zhe Song, Chiew-Lan Tai, Hongbo Fu:
SketchDesc: Learning Local Sketch Descriptors for Multi-View Correspondence. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1738-1750 (2021)
[j30]
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Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1995-2007 (2021)
[j29]
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Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang:
On Learning Semantic Representations for Large-Scale Abstract Sketches. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3366-3379 (2021)
[j28]
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Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song:
Towards Practical Sketch-Based 3D Shape Generation: The Role of Professional Sketches. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3518-3528 (2021)
[j27]
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Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Toward Fine-Grained Sketch-Based 3D Shape Retrieval. IEEE Trans. Image Process. 30: 8595-8606 (2021)
[j26]
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Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Lirong Dai:
SRD: A Tree Structure Based Decoder for Online Handwritten Mathematical Expression Recognition. IEEE Trans. Multim. 23: 2471-2480 (2021)
[c79]
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  - conf/3dim/LuoGYXS21
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Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Fine-Grained VR Sketching: Dataset and Insights. 3DV 2021: 1003-1013
[c78]
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  - conf/cvpr/BhuniaCSYXS21
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Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. CVPR 2021: 4247-4256
[c77]
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Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CVPR 2021: 5672-5681
[c76]
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  - conf/cvpr/0003YHXS21
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Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Cloud2Curve: Generation and Vectorization of Parametric Sketches. CVPR 2021: 7088-7097
[c75]
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  - conf/cvpr/SainBYXS21
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Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. CVPR 2021: 8504-8513
[c74]
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  - conf/cvpr/ChangPZMS021
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Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Your "Flamingo" is My "Bird": Fine-Grained, or Not. CVPR 2021: 11476-11485
[c73]
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Yonggang Qi, Kai Zhang, Aneeshan Sain, Yi-Zhe Song:
PQA: Perceptual Question Answering. CVPR 2021: 12056-12064
[c72]
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  - conf/cvpr/HeLYYSRX21
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Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Context-Aware Layout to Image Generation With Enhanced Object Appearance. CVPR 2021: 15049-15058
[c71]
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  - conf/cvpr/BhuniaGKCSS21
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Ayan Kumar Bhunia, Shuvozit Ghose, Amandeep Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song:
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition. CVPR 2021: 15830-15839
[c70]
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  - conf/iccv/QiSCLS21
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Yonggang Qi, Guoyao Su, Pinaki Nath Chowdhury, Mingkang Li, Yi-Zhe Song:
SketchLattice: Latticed Representation for Sketch Manipulation. ICCV 2021: 933-941
[c69]
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Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Yi-Zhe Song:
Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation. ICCV 2021: 963-972
[c68]
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  - conf/iccv/HeLYSRX21
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Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Disentangled Lifespan Face Synthesis. ICCV 2021: 3857-3866
[c67]
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  - conf/iccv/LuHZ0SX21
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Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang:
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. ICCV 2021: 8721-8730
[c66]
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  - conf/iccv/YangP0S21
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Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song:
SketchAA: Abstract Representation for Abstract Sketches. ICCV 2021: 10077-10086
[c65]
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  - conf/iccv/BhuniaSKGCS21
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Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Yi-Zhe Song:
Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition. ICCV 2021: 14920-14929
[c64]
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  - conf/iccv/BhuniaCSS21
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Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song:
Towards the Unseen: Iterative Text Recognition by Distilling from Errors. ICCV 2021: 14930-14939
[c63]
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  - conf/icnidc/XiongMS21
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Weiyu Xiong, Zhanyu Ma, Yi-Zhe Song:
Robust Augmentations for Small Object Detection of Aerial Images. IC-NIDC 2021: 128-132
[c62]
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Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang:
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective. NeurIPS 2021: 24286-24298
[i50]
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  - journals/corr/abs-2103-11897
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Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Context-Aware Layout to Image Generation with Enhanced Object Appearance. CoRR abs/2103.11897 (2021)
[i49]
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  - journals/corr/abs-2103-13716
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Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CoRR abs/2103.13716 (2021)
[i48]
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  - journals/corr/abs-2103-13990
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Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. CoRR abs/2103.13990 (2021)
[i47]
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  - journals/corr/abs-2103-15536
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Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Cloud2Curve: Generation and Vectorization of Parametric Sketches. CoRR abs/2103.15536 (2021)
[i46]
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  - journals/corr/abs-2103-15706
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Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. CoRR abs/2103.15706 (2021)
[i45]
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  - journals/corr/abs-2104-01876
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Ayan Kumar Bhunia, Shuvozit Ghose, Amandeep Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song:
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition. CoRR abs/2104.01876 (2021)
[i44]
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  - journals/corr/abs-2104-03589
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Yonggang Qi, Kai Zhang, Aneeshan Sain, Yi-Zhe Song:
PQA: Perceptual Question Answering. CoRR abs/2104.03589 (2021)
[i43]
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  - journals/corr/abs-2105-08237
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Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song:
Towards Unsupervised Sketch-based Image Retrieval. CoRR abs/2105.08237 (2021)
[i42]
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  - journals/corr/abs-2107-12081
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Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song:
Towards the Unseen: Iterative Text Recognition by Distilling from Errors. CoRR abs/2107.12081 (2021)
[i41]
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  - journals/corr/abs-2107-12087
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Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Yi-Zhe Song:
Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation. CoRR abs/2107.12087 (2021)
[i40]
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  - journals/corr/abs-2107-12090
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Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Yi-Zhe Song:
Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition. CoRR abs/2107.12090 (2021)
[i39]
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  - journals/corr/abs-2108-02874
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Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Disentangled Lifespan Face Synthesis. CoRR abs/2108.02874 (2021)
[i38]
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  - journals/corr/abs-2108-03032
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Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang:
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. CoRR abs/2108.03032 (2021)
[i37]
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  - journals/corr/abs-2108-11636
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Yonggang Qi, Guoyao Su, Pinaki Nath Chowdhury, Mingkang Li, Yi-Zhe Song:
SketchLattice: Latticed Representation for Sketch Manipulation. CoRR abs/2108.11636 (2021)
[i36]
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  - journals/corr/abs-2109-14449
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Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang:
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective. CoRR abs/2109.14449 (2021)
[i35]
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  - journals/corr/abs-2111-06119
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Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie:
Fine-Grained Image Analysis with Deep Learning: A Survey. CoRR abs/2111.06119 (2021)
[i34]
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  - journals/corr/abs-2112-02747
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Dongliang Chang, Kaiyue Pang, Ruoyi Du, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Making a Bird AI Expert Work for You and Me. CoRR abs/2112.02747 (2021)
[i33]
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  - journals/corr/abs-2112-02825
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Ruoyi Du, Dongliang Chang, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data. CoRR abs/2112.02825 (2021)
[i32]
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  - journals/corr/abs-2112-06538
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Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang:
Hybrid Graph Neural Networks for Few-Shot Learning. CoRR abs/2112.06538 (2021)
[i31]
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  - journals/corr/abs-2112-10838
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Anran Qi, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song:
One Sketch for All: One-Shot Personalized Sketch Segmentation. CoRR abs/2112.10838 (2021)
2020
[j25]
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Zhanyu Ma, Sunwoo Kim, Pascual Martínez-Gómez, Jalil Taghia, Yi-Zhe Song, Huiji Gao:
IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications. IEEE Access 8: 199882-199898 (2020)
[j24]
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Jianjun Lei, Yuxin Song, Bo Peng, Zhanyu Ma, Ling Shao, Yi-Zhe Song:
Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3226-3237 (2020)
[j23]
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Yonggang Qi, Yi-Zhe Song:
Sketch Fewer to Recognize More by Learning a Co-Regularized Sparse Representation. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4849-4860 (2020)
[j22]
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  - journals/tip/ChangDXBLMWGS20
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Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. IEEE Trans. Image Process. 29: 4683-4695 (2020)
[j21]
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Conghui Hu, Da Li, Yongxin Yang, Timothy M. Hospedales, Yi-Zhe Song:
Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation. IEEE Trans. Image Process. 29: 9470-9481 (2020)
[j20]
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  - journals/tog/BhuniaDMYHXGS20
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Ayan Kumar Bhunia, Ayan Das, Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song:
Pixelor: a competitive sketching AI agent. so you think you can sketch? ACM Trans. Graph. 39(6): 166:1-166:15 (2020)
[c61]
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  - conf/3dim/LuoGYXS20
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Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Towards 3D VR-Sketch to 3D Shape Retrieval. 3DV 2020: 81-90
[c60]
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  - conf/3dim/ZhongG0S20
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Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song:
Deep Sketch-Based Modeling: Tips and Tricks. 3DV 2020: 543-552
[c59]
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Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. BMVC 2020
[c58]
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Guoyao Su, Yonggang Qi, Kaiyue Pang, Jie Yang, Yi-Zhe Song:
SketchHealer: A Graph-to-Sequence Network for Recreating Partial Human Sketches. BMVC 2020
[c57]
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  - conf/cvpr/LuYZLSX20
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Zhihe Lu, Yongxin Yang, Xiatian Zhu, Cong Liu, Yi-Zhe Song, Tao Xiang:
Stochastic Classifiers for Unsupervised Domain Adaptation. CVPR 2020: 9108-9117
[c56]
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Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. CVPR 2020: 9776-9785
[c55]
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Kaiyue Pang, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. CVPR 2020: 10344-10352
[c54]
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  - conf/eccv/DuCBXMSG20
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Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches. ECCV (20) 2020: 153-168
[c53]
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Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Sequential Learning for Domain Generalization. ECCV Workshops (1) 2020: 603-619
[c52]
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  - conf/eccv/0003YHXS20
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Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
BézierSketch: A Generative Model for Scalable Vector Sketches. ECCV (26) 2020: 632-647
[c51]
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  - conf/icmcs/YangSLQZS20
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Lan Yang, Aneeshan Sain, Linpeng Li, Yonggang Qi, Honggang Zhang, Yi-Zhe Song:
S³Net: Graph Representational Network For Sketch Recognition. ICME 2020: 1-6
[c50]
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Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Si Wei, Lirong Dai:
A Tree-Structured Decoder for Image-to-Markup Generation. ICML 2020: 11076-11085
[i30]
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  - journals/corr/abs-2001-05744
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Deng Yu, Lei Li, Youyi Zheng, Manfred Lau, Yi-Zhe Song, Chiew-Lan Tai, Hongbo Fu:
SketchDesc: Learning Local Sketch Descriptors for Multi-view Correspondence. CoRR abs/2001.05744 (2020)
[i29]
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  - journals/corr/abs-2002-00867
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Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang:
Deep Self-Supervised Representation Learning for Free-Hand Sketch. CoRR abs/2002.00867 (2020)
[i28]
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  - journals/corr/abs-2002-04264
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Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. CoRR abs/2002.04264 (2020)
[i27]
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  - journals/corr/abs-2002-09461
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Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. CoRR abs/2002.09461 (2020)
[i26]
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  - journals/corr/abs-2002-10310
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Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval. CoRR abs/2002.10310 (2020)
[i25]
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  - journals/corr/abs-2003-03787
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Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation. CoRR abs/2003.03787 (2020)
[i24]
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  - journals/corr/abs-2003-03836
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Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Yi-Zhe Song, Zhanyu Ma, Jun Guo:
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches. CoRR abs/2003.03836 (2020)
[i23]
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  - journals/corr/abs-2004-01377
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Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Sequential Learning for Domain Generalization. CoRR abs/2004.01377 (2020)
[i22]
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  - journals/corr/abs-2007-02190
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Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
BézierSketch: A generative model for scalable vector sketches. CoRR abs/2007.02190 (2020)
[i21]
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  - journals/corr/abs-2007-04101
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Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang:
On Learning Semantic Representations for Million-Scale Free-Hand Sketches. CoRR abs/2007.04101 (2020)
[i20]
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  - journals/corr/abs-2007-15103
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Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. CoRR abs/2007.15103 (2020)
[i19]
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  - journals/corr/abs-2011-06133
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Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song:
Deep Sketch-Based Modeling: Tips and Tricks. CoRR abs/2011.06133 (2020)
[i18]
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  - journals/corr/abs-2011-09040
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Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Your "Labrador" is My "Dog": Fine-Grained, or Not. CoRR abs/2011.09040 (2020)

2010 – 2019

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2019
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Ke Li, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Toward Deep Universal Sketch Perceptual Grouper. IEEE Trans. Image Process. 28(7): 3219-3231 (2019)
[j18]
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Zhanyu Ma, Yuping Lai, W. Bastiaan Kleijn, Yi-Zhe Song, Liang Wang, Jun Guo:
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling. IEEE Trans. Neural Networks Learn. Syst. 30(2): 449-463 (2019)
[c49]
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  - conf/aies/DanieleS19
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Antonio Daniele, Yi-Zhe Song:
AI + Art = Human. AIES 2019: 155-161
[c48]
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Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Generalising Fine-Grained Sketch-Based Image Retrieval. CVPR 2019: 677-686
[c47]
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Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Generalizable Person Re-Identification by Domain-Invariant Mapping Network. CVPR 2019: 719-728
[c46]
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  - conf/cvpr/DeyR0LS19
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Sounak Dey, Pau Riba, Anjan Dutta, Josep Lladós, Yi-Zhe Song:
Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval. CVPR 2019: 2179-2188
[c45]
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  - conf/iccv/MuhammadYHXS19
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Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Goal-Driven Sequential Data Abstraction. ICCV 2019: 71-80
[c44]
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  - conf/iccv/LiZYLSH19
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Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales:
Episodic Training for Domain Generalization. ICCV 2019: 1446-1455
[i17]
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  - journals/corr/abs-1902-00113
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Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales:
Episodic Training for Domain Generalization. CoRR abs/1902.00113 (2019)
[i16]
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  - journals/corr/abs-1904-03451
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Sounak Dey, Pau Riba, Anjan Dutta, Josep Lladós, Yi-Zhe Song:
Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval. CoRR abs/1904.03451 (2019)
[i15]
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  - journals/corr/abs-1907-12336
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Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Goal-Driven Sequential Data Abstraction. CoRR abs/1907.12336 (2019)
[i14]
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  - journals/corr/abs-1911-04470
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Jianjun Lei, Yuxin Song, Bo Peng, Zhanyu Ma, Ling Shao, Yi-Zhe Song:
Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval. CoRR abs/1911.04470 (2019)
2018
[j17]
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  - journals/access/MaLSHJPH18
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Zhanyu Ma, Haibin Ling, Yi-Zhe Song, Timothy M. Hospedales, Wei Jia, Yuxin Peng, Aili Han:
IEEE Access Special Section Editorial: Recent Advantages of Computer Vision. IEEE Access 6: 31481-31485 (2018)
[j16]
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  - journals/ijon/MaCTSTX18
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Zhanyu Ma, Jen-Tzung Chien, Zheng-Hua Tan, Yi-Zhe Song, Jalil Taghia, Ming Xiao:
Recent advances in machine learning for non-Gaussian data processing. Neurocomputing 278: 1-3 (2018)
[j15]
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  - journals/ijon/XuYHSMWXKG18
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Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal subspace learning for fine-grained sketch-based image retrieval. Neurocomputing 278: 75-86 (2018)
[c43]
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Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Learning to Generalize: Meta-Learning for Domain Generalization. AAAI 2018: 3490-3497
[c42]
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Anran Qi, Yi-Zhe Song, Tao Xiang:
Semantic Embedding for Sketch-Based 3D Shape Retrieval. BMVC 2018: 43
[c41]
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Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning to Sketch With Shortcut Cycle Consistency. CVPR 2018: 801-810
[c40]
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Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning Deep Sketch Abstraction. CVPR 2018: 8014-8023
[c39]
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  - conf/cvpr/0005HYPSXHM018
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Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CVPR 2018: 8090-8098
[c38]
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  - conf/cvpr/HuLSXH18
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Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Classifier: Sketch-Based Photo Classifier Generation. CVPR 2018: 9136-9144
[c37]
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Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Deep Factorised Inverse-Sketching. ECCV (15) 2018: 37-54
[c36]
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Changqing Zou, Qian Yu, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang, Chengying Gao, Baoquan Chen, Hao Zhang:
SketchyScene: Richly-Annotated Scene Sketches. ECCV (15) 2018: 438-454
[c35]
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Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Universal Sketch Perceptual Grouping. ECCV (8) 2018: 593-609
[c34]
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  - conf/mm/PangWSH018
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Lu Pang, Yaowei Wang, Yi-Zhe Song, Tiejun Huang, Yonghong Tian:
Cross-Domain Adversarial Feature Learning for Sketch Re-identification. ACM Multimedia 2018: 609-617
[i13]
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  - journals/corr/abs-1804-01401
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Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CoRR abs/1804.01401 (2018)
[i12]
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  - journals/corr/abs-1804-04804
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Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning Deep Sketch Abstraction. CoRR abs/1804.04804 (2018)
[i11]
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  - journals/corr/abs-1804-11182
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Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Classifier: Sketch-based Photo Classifier Generation. CoRR abs/1804.11182 (2018)
[i10]
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  - journals/corr/abs-1805-00247
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Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning to Sketch with Shortcut Cycle Consistency. CoRR abs/1805.00247 (2018)
[i9]
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  - journals/corr/abs-1808-02312
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Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Universal Perceptual Grouping. CoRR abs/1808.02312 (2018)
[i8]
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  - journals/corr/abs-1808-02313
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Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Deep Factorised Inverse-Sketching. CoRR abs/1808.02313 (2018)
[i7]
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  - journals/corr/abs-1808-02473
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Changqing Zou, Qian Yu, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang, Chengying Gao, Baoquan Chen, Hao Zhang:
SketchyScene: Richly-Annotated Scene Sketches. CoRR abs/1808.02473 (2018)
2017
[j14]
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Yi Li, Yi-Zhe Song, Timothy M. Hospedales, Shaogang Gong:
Free-Hand Sketch Synthesis with Deformable Stroke Models. Int. J. Comput. Vis. 122(1): 169-190 (2017)
[j13]
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Qian Yu, Yongxin Yang, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Net: A Deep Neural Network that Beats Humans. Int. J. Comput. Vis. 122(3): 411-425 (2017)
[j12]
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Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Honggang Zhang:
Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval. IEEE Trans. Image Process. 26(12): 5908-5921 (2017)
[c33]
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Conghui Hu, Da Li, Yi-Zhe Song, Timothy M. Hospedales:
Now You See Me: Deep Face Hallucination for Unviewed Sketches. BMVC 2017
[c32]
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Kaiyue Pang, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales:
Cross-domain Generative Learning for Fine-Grained Sketch-Based Image Retrieval. BMVC 2017
[c31]
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Jifei Song, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales:
Fine-Grained Image Retrieval: the Text/Sketch Input Dilemma. BMVC 2017
[c30]
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Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Deeper, Broader and Artier Domain Generalization. ICCV 2017: 5543-5551
[c29]
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Jifei Song, Qian Yu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval. ICCV 2017: 5552-5561
[i6]
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Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval. CoRR abs/1705.09888 (2017)
[i5]
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Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Deeper, Broader and Artier Domain Generalization. CoRR abs/1710.03077 (2017)
[i4]
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Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Learning to Generalize: Meta-Learning for Domain Generalization. CoRR abs/1710.03463 (2017)
[i3]
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Qian Yu, Xiaobin Chang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching. CoRR abs/1711.08106 (2017)
2016
[j11]
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Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li, Chen Change Loy, Xiaogang Wang:
A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution. Image Vis. Comput. 56: 28-48 (2016)
[c28]
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Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Xiang Ruan:
Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval. BMVC 2016
[c27]
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Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy:
Sketch Me That Shoe. CVPR 2016: 799-807
[c26]
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Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li:
ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching. CVPR 2016: 5571-5579
[c25]
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Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Jun Guo:
Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. ECCV Workshops (1) 2016: 19-34
[c24]
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Yonggang Qi, Yi-Zhe Song, Honggang Zhang, Jun Liu:
Sketch-based image retrieval via Siamese convolutional neural network. ICIP 2016: 2460-2464
[c23]
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Peng Xu, Ke Li, Zhanyu Ma, Yi-Zhe Song, Liang Wang, Jun Guo:
Cross-modal subspace learning for sketch-based image retrieval: A comparative study. IC-NIDC 2016: 500-504
[c22]
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Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Honggang Zhang, Yichuan Hu:
Fine-grained sketch-based image retrieval: The role of part-aware attributes. WACV 2016: 1-9
2015
[j10]
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Yi Li, Timothy M. Hospedales, Yi-Zhe Song, Shaogang Gong:
Free-hand sketch recognition by multi-kernel feature learning. Comput. Vis. Image Underst. 137: 1-11 (2015)
[j9]
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Kaili Zhao, Honggang Zhang, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Multi-label learning with prior knowledge for facial expression analysis. Neurocomputing 157: 280-289 (2015)
[j8]
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Yonggang Qi, Jun Guo, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Zheng-Hua Tan:
Im2Sketch: Sketch generation by unconflicted perceptual grouping. Neurocomputing 165: 338-349 (2015)
[c21]
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Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Net that Beats Humans. BMVC 2015: 7.1-7.12
[c20]
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Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy M. Hospedales, Yi Li, Jun Guo:
Making better use of edges via perceptual grouping. CVPR 2015: 1856-1865
[c19]
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  - conf/icmcs/LiSC15
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Wenzhao Li, Yi-Zhe Song, Andrea Cavallaro:
Refining graph matching using inherent structure information. ICME 2015: 1-6
[c18]
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Ya-Jing Xu, Chao Xue, Gong-Fu Li, Yi-Zhe Song:
Discovering social relationship between city regions using human mobility. QSHINE 2015: 104-109
[i2]
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Yi Li, Yi-Zhe Song, Timothy M. Hospedales, Shaogang Gong:
Free-hand Sketch Synthesis with Deformable Stroke Models. CoRR abs/1510.02644 (2015)
2014
[c17]
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  - conf/accv/OuYangHSL14
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Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li:
Cross-Modal Face Matching: Beyond Viewed Sketches. ACCV (2) 2014: 210-225
[c16]
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Yi Li, Timothy M. Hospedales, Yi-Zhe Song, Shaogang Gong:
Intra-category sketch-based image retrieval by matching deformable part models. BMVC 2014
[c15]
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Yonggang Qi, Wei-Shi Zheng, Tao Xiang, Yi-Zhe Song, Honggang Zhang, Jun Guo:
One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding. ISVC (2) 2014: 74-84
[i1]
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Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li:
A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution. CoRR abs/1409.5114 (2014)
2013
[j7]
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Honggang Zhang, Kaili Zhao, Yi-Zhe Song, Jun Guo:
Text extraction from natural scene image: A survey. Neurocomputing 122: 310-323 (2013)
[j6]
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Yi-Zhe Song, David Pickup, Chuan Li, Paul L. Rosin, Peter M. Hall:
Abstract Art by Shape Classification. IEEE Trans. Vis. Comput. Graph. 19(8): 1252-1263 (2013)
[c14]
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Yi Li, Yi-Zhe Song, Shaogang Gong:
Sketch Recognition by Ensemble Matching of Structured Features. BMVC 2013
[c13]
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  - conf/cae/HallS13
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Peter M. Hall, Yi-Zhe Song:
Simple Art as Abstractions of Photographs. CAe@Expressive 2013: 77-86
[c12]
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Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song:
Sketching by perceptual grouping. ICIP 2013: 270-274
[c11]
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Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song, Zheng-Hua Tan:
Perceptual grouping via untangling Gestalt principles. VCIP 2013: 1-6
[c10]
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Kaili Zhao, Honggang Zhang, Mingzhi Dong, Jun Guo, Yonggang Qi, Yi-Zhe Song:
A multi-label classification approach for Facial Expression Recognition. VCIP 2013: 1-6
2012
[j5]
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Yi-Zhe Song, Chuan Li, Liang Wang, Peter M. Hall, Peiyi Shen:
Robust visual tracking using structural region hierarchy and graph matching. Neurocomputing 89: 12-20 (2012)
[c9]
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Kaili Zhao, Can Cao, Honggang Zhang, Yi-Zhe Song:
A dataset for scene classification based on camera metadata. IC-NIDC 2012: 443-447
[c8]
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Peiyi Shen, Liang Zhang, Zhijian Wang, Wei Shao, Zhengchuan Hu, Xiangdong Zhang, Yi-Zhe Song:
A novel interpolation algorithm for nonlinear omni-catadioptric images. IC-NIDC 2012: 508-511
2011
[j4]
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Xiao Bai, Yi-Zhe Song, Peter M. Hall:
Learning invariant structure for object identification by using graph methods. Comput. Vis. Image Underst. 115(7): 1023-1031 (2011)
[j3]
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Yi-Zhe Song, Xiao Bai, Peter M. Hall, Liang Wang:
In Search of Perceptually Salient Groupings. IEEE Trans. Image Process. 20(4): 935-947 (2011)
[j2]
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Chuan Li, Oliver Deussen, Yi-Zhe Song, Philip Willis, Peter M. Hall:
Modeling and generating moving trees from video. ACM Trans. Graph. 30(6): 127 (2011)
2010
[c7]
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Yi-Zhe Song, Pablo Arbeláez, Peter M. Hall, Chuan Li, Anupriya Balikai:
Finding Semantic Structures in Image Hierarchies Using Laplacian Graph Energy. ECCV (4) 2010: 694-707

2000 – 2009

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2009
[b1]
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Yi-Zhe Song:
Hierarchical image descriptions for classification and painting. University of Bath, UK, 2009
[c6]
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Peter Keitler, Frieder Pankratz, Björn Schwerdtfeger, Daniel Pustka, Wolf Rödiger, Gudrun Klinker, Christian Rauch, Anup Chathoth, John P. Collomosse, Yi-Zhe Song:
Mobile augmented reality based 3D snapshots. ISMAR 2009: 199-200
2008
[c5]
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Anupriya Balikai, Paul L. Rosin, Yi-Zhe Song, Peter M. Hall:
Shapes Fit For Purpose. BMVC 2008: 1-10
[c4]
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Yi-Zhe Song, Paul L. Rosin, Peter M. Hall, John P. Collomosse:
Arty Shapes. CAe 2008: 65-72
[c3]
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Yi-Zhe Song, Peter M. Hall:
Stable Image Descriptions Using Gestalt Principles. ISVC (1) 2008: 318-327
[c2]
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Xiao Bai, Yi-Zhe Song, Anupriya Balikai, Peter M. Hall:
Structure Is a Visual Class Invariant. SSPR/SPR 2008: 329-338
2007
[j1]
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Peter M. Hall, John P. Collomosse, Yi-Zhe Song, Peiyi Shen, Chuan Li:
RTcams: A New Perspective on Nonphotorealistic Rendering from Photographs. IEEE Trans. Vis. Comput. Graph. 13(5): 966-979 (2007)
[c1]
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Xiao Bai, Yi-Zhe Song, Peter M. Hall:
Learning Object Classes from Structure. BMVC 2007: 1-10

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