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Ran He 0001
Person information
- affiliation: Center for Research on Intelligent Perception and Computing, Beijing, China
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation: University of Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Ran He — disambiguation page
- Ran He 0002 — Xidian University, Video and Image Processing System Laboratory, Xi'an, China
- Ran He 0003 — Southeast University, School of Cyber Science and Engineering, Nanjing, China
- Ran He 0004 — Sichuan Agricultural University, College of Veterinary Medicine, Chengdu, China
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2020 – today
- 2025
- [e15]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15031, Springer 2025, ISBN 978-981-97-8486-8 [contents] - [e14]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15033, Springer 2025, ISBN 978-981-97-8501-8 [contents] - [e13]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15035, Springer 2025, ISBN 978-981-97-8619-0 [contents] - [e12]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15036, Springer 2025, ISBN 978-981-97-8507-0 [contents] - [e11]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15037, Springer 2025, ISBN 978-981-97-8510-0 [contents] - [e10]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15038, Springer 2025, ISBN 978-981-97-8684-8 [contents] - [e9]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15039, Springer 2025, ISBN 978-981-97-8691-6 [contents] - [e8]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15041, Springer 2025, ISBN 978-981-97-8794-4 [contents] - [e7]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15042, Springer 2025, ISBN 978-981-97-8857-6 [contents] - [e6]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIII. Lecture Notes in Computer Science 15043, Springer 2025, ISBN 978-981-97-8492-9 [contents] - [e5]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIV. Lecture Notes in Computer Science 15044, Springer 2025, ISBN 978-981-97-8495-0 [contents] - [e4]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XV. Lecture Notes in Computer Science 15045, Springer 2025, ISBN 978-981-97-8498-1 [contents] - 2024
- [j84]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Recognizing Predictive Substructures With Subgraph Information Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1650-1663 (2024) - [j83]Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He:
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1376-1387 (2024) - [j82]Jiaxiang Wang, Aihua Zheng, Yan Yan, Ran He, Jin Tang:
Attribute-Guided Cross-Modal Interaction and Enhancement for Audio-Visual Matching. IEEE Trans. Inf. Forensics Secur. 19: 4986-4998 (2024) - [j81]Jianze Wei, Yunlong Wang, Xingyu Gao, Ran He, Zhenan Sun:
Multi-Faceted Knowledge-Driven Graph Neural Network for Iris Segmentation. IEEE Trans. Inf. Forensics Secur. 19: 6015-6027 (2024) - [j80]Xiaoqiang Zhou, Huaibo Huang, Zilei Wang, Ran He:
RISTRA: Recursive Image Super-Resolution Transformer With Relativistic Assessment. IEEE Trans. Multim. 26: 6475-6487 (2024) - [c165]Zi Wang, Huaibo Huang, Aihua Zheng, Ran He:
Heterogeneous Test-Time Training for Multi-Modal Person Re-identification. AAAI 2024: 5850-5858 - [c164]Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang:
InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. ACL (Findings) 2024: 485-492 - [c163]Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang:
DeVAn: Dense Video Annotation for Video-Language Models. ACL (1) 2024: 14305-14321 - [c162]Qihang Fan, Huaibo Huang, Mingrui Chen, Hongmin Liu, Ran He:
RMT: Retentive Networks Meet Vision Transformers. CVPR 2024: 5641-5651 - [c161]Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Lei Zhang, Ran He:
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer. CVPR 2024: 8142-8152 - [c160]Jiyang Guan, Jian Liang, Ran He:
Backdoor Defense via Test-Time Detecting and Repairing. CVPR 2024: 24564-24573 - [c159]Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He:
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration. CVPR 2024: 25432-25444 - [c158]Yongcan Yu, Lijun Sheng, Ran He, Jian Liang:
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay. ECCV (81) 2024: 375-392 - [c157]Yexiang Liu, Jin Liu, Jie Cao, Junxian Duan, Ran He:
PortraitDAE: Line-Drawing Portraits Style Transfer from Photos via Diffusion Autoencoder with Meaningful Encoded Noise. FG 2024: 1-10 - [c156]Huimin Zhao, Xiaoqiang Zhou, Jie Cao, Huaibo Huang, Aihua Zheng, Ran He:
Semantic-Aware Detail Enhancement for Blind Face Restoration. FG 2024: 1-9 - [c155]Zi Wang, Huaibo Huang, Aihua Zheng, Chenglong Li, Ran He:
Parallel Augmentation and Dual Enhancement for Occluded Person Re-Identification. ICASSP 2024: 3590-3594 - [c154]Yingqing He, Shaoshu Yang, Haoxin Chen, Xiaodong Cun, Menghan Xia, Yong Zhang, Xintao Wang, Ran He, Qifeng Chen, Ying Shan:
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models. ICLR 2024 - [c153]Yanbo Wang, Jian Liang, Ran He:
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks. ICLR 2024 - [c152]Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan:
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. ICLR 2024 - [c151]Junchi Yu, Ran He, Zhitao Ying:
Thought Propagation: an Analogical Approach to Complex Reasoning with Large Language Models. ICLR 2024 - [c150]Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan:
Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization. ICML 2024 - [c149]Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. ICML 2024 - [c148]Jin Liu, Huaibo Huang, Jie Cao, Ran He:
ZePo: Zero-Shot Portrait Stylization with Faster Sampling. ACM Multimedia 2024: 3509-3518 - [i126]Kuangpu Guo, Yuhe Ding, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning. CoRR abs/2401.02329 (2024) - [i125]Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation. CoRR abs/2401.06030 (2024) - [i124]Yanbo Wang, Jian Liang, Ran He:
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks. CoRR abs/2402.03124 (2024) - [i123]Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. CoRR abs/2402.04050 (2024) - [i122]Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan:
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. CoRR abs/2402.04087 (2024) - [i121]Haogeng Liu, Quanzeng You, Xiaotian Han, Yiqi Wang, Bohan Zhai, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang:
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding. CoRR abs/2403.01487 (2024) - [i120]Nan Gao, Jia Li, Huaibo Huang, Zhi Zeng, Ke Shang, Shuwu Zhang, Ran He:
DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration. CoRR abs/2403.10098 (2024) - [i119]Qihang Fan, Quanzeng You, Xiaotian Han, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang:
ViTAR: Vision Transformer with Any Resolution. CoRR abs/2403.18361 (2024) - [i118]Qihang Fan, Huaibo Huang, Mingrui Chen, Ran He:
Vision Transformer with Sparse Scan Prior. CoRR abs/2405.13335 (2024) - [i117]Qihang Fan, Huaibo Huang, Mingrui Chen, Ran He:
Semantic Equitable Clustering: A Simple, Fast and Effective Strategy for Vision Transformer. CoRR abs/2405.13337 (2024) - [i116]Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang:
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model. CoRR abs/2405.17815 (2024) - [i115]Shaoshu Yang, Yong Zhang, Xiaodong Cun, Ying Shan, Ran He:
ZeroSmooth: Training-free Diffuser Adaptation for High Frame Rate Video Generation. CoRR abs/2406.00908 (2024) - [i114]Jin Liu, Huaibo Huang, Jie Cao, Ran He:
ZePo: Zero-Shot Portrait Stylization with Faster Sampling. CoRR abs/2408.05492 (2024) - [i113]Xiaotian Han, Yiren Jian, Xuefeng Hu, Haogeng Liu, Yiqi Wang, Qihang Fan, Yuang Ai, Huaibo Huang, Ran He, Zhenheng Yang, Quanzeng You:
InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning. CoRR abs/2409.12568 (2024) - 2023
- [j79]Aihua Zheng, Huimin Wang, Jiaxiang Wang, Huaibo Huang, Ran He, Amir Hussain:
Diverse features discovery transformer for pedestrian attribute recognition. Eng. Appl. Artif. Intell. 119: 105708 (2023) - [j78]Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He:
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation. Neural Networks 167: 92-103 (2023) - [j77]Huaibo Huang, Mandi Luo, Ran He:
Memory Uncertainty Learning for Real-World Single Image Deraining. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3446-3460 (2023) - [j76]Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He:
ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8920-8935 (2023) - [j75]Chaoyou Fu, Xiaoqiang Zhou, Weizan He, Ran He:
Towards Lightweight Pixel-Wise Hallucination for Heterogeneous Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9135-9148 (2023) - [j74]Junxian Duan, Xiang Wu, Yibo Hu, Chaoyou Fu, Zi Wang, Ran He:
Iterative embedding distillation for open world vehicle recognition. Pattern Recognit. 135: 109140 (2023) - [j73]Linsen Song, Wayne Wu, Chaoyou Fu, Chen Change Loy, Ran He:
Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1247-1261 (2023) - [j72]Jianze Wei, Yunlong Wang, Huaibo Huang, Ran He, Zhenan Sun, Xingyu Gao:
Contextual Measures for Iris Recognition. IEEE Trans. Inf. Forensics Secur. 18: 57-70 (2023) - [j71]Ziming Yang, Jian Liang, Yuting Xu, Xiaoyu Zhang, Ran He:
Masked Relation Learning for DeepFake Detection. IEEE Trans. Inf. Forensics Secur. 18: 1696-1708 (2023) - [j70]Gengyun Jia, Peipei Li, Ran He:
Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8654-8668 (2023) - [c147]Shenyuan Huang, Huaibo Huang, Zi Wang, Nan Xu, Aihua Zheng, Ran He:
Uncertainty-Guided Test-Time Training for Face Forgery Detection. ACPR (2) 2023: 258-272 - [c146]Jin Liu, Huaibo Huang, Jie Cao, Junxian Duan, Ran He:
Fine-Grained Face Sketch-Photo Synthesis with Text-Guided Diffusion Models. ACPR (2) 2023: 340-354 - [c145]Mingdeng Cao, Chong Mou, Fanghua Yu, Xintao Wang, Yinqiang Zheng, Jian Zhang, Chao Dong, Gen Li, Ying Shan, Radu Timofte, Xiaopeng Sun, Weiqi Li, Zhenyu Zhang, Xuhan Sheng, Bin Chen, Haoyu Ma, Ming Cheng, Shijie Zhao, Wanwan Cui, Tianyu Xu, Chunyang Li, Long Bao, Heng Sun, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Renlong Wu, Yi Yang, Zhilu Zhang, Shuohao Zhang, Junyi Li, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qian Wang, Hao-Hsiang Yang, Yi-Chung Chen, Zhi-Kai Huang, Wei-Ting Chen, Yuan-Chun Chiang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Zebin Zhang, Jiaqi Zhang, Yuhui Wang, Shuhao Cui, Junshi Huang, Li Zhu, Shuman Tian, Wei Yu, Bingchun Luo:
NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results. CVPR Workshops 2023: 1731-1745 - [c144]Yulun Zhang, Kai Zhang, Zheng Chen, Yawei Li, Radu Timofte, Junpei Zhang, Kexin Zhang, Rui Peng, Yanbiao Ma, Licheng Jia, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Yajun Qiu, Qiang Zhu, Pengfei Li, Qianhui Li, Shuyuan Zhu, Dafeng Zhang, Jia Li, Fan Wang, Chunmiao Li, TaeHyung Kim, Jungkeong Kil, Eon Kim, Yeonseung Yu, Beomyeol Lee, Subin Lee, Seokjae Lim, Somi Chae, Heungjun Choi, Zhi-Kai Huang, YiChung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Ui-Jin Choi, Marcos V. Conde, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Jiayu Wei, Yanfeng Li, Jia Sun, Zhanyi Cheng, Zhiyuan Li, Xu Yao, Xinyi Wang, Danxu Li, Xuan Cui, Jun Cao, Cheng Li, Jianbin Zheng, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results. CVPR Workshops 2023: 1865-1884 - [c143]Junchi Yu, Jian Liang, Ran He:
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CVPR 2023: 11620-11630 - [c142]Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He:
Modify: Model-Driven Face Stylization Without Style Images. ICASSP 2023: 1-5 - [c141]Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He:
Pluralistic Aging Diffusion Autoencoder. ICCV 2023: 22556-22566 - [c140]Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He:
TALL: Thumbnail Layout for Deepfake Video Detection. ICCV 2023: 22601-22611 - [c139]Qihang Fan, Huaibo Huang, Xiaoqiang Zhou, Ran He:
Lightweight Vision Transformer with Bidirectional Interaction. NeurIPS 2023 - [c138]Rui Wang, Peipei Li, Huaibo Huang, Chunshui Cao, Ran He, Zhaofeng He:
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification. NeurIPS 2023 - [i112]Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He:
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. CoRR abs/2302.04589 (2023) - [i111]Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He:
MODIFY: Model-driven Face Stylization without Style Images. CoRR abs/2303.09831 (2023) - [i110]Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
AdaptGuard: Defending Against Universal Attacks for Model Adaptation. CoRR abs/2303.10594 (2023) - [i109]Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He:
Pluralistic Aging Diffusion Autoencoder. CoRR abs/2303.11086 (2023) - [i108]Puning Yang, Jian Liang, Jie Cao, Ran He:
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection. CoRR abs/2303.12267 (2023) - [i107]Junchi Yu, Jian Liang, Ran He:
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CoRR abs/2303.14859 (2023) - [i106]Jian Liang, Ran He, Tieniu Tan:
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts. CoRR abs/2303.15361 (2023) - [i105]Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Lei Zhang, Ran He:
SOSR: Source-Free Image Super-Resolution with Wavelet Augmentation Transformer. CoRR abs/2303.17783 (2023) - [i104]Qihang Fan, Huaibo Huang, Jiyang Guan, Ran He:
Rethinking Local Perception in Lightweight Vision Transformer. CoRR abs/2303.17803 (2023) - [i103]Qihang Fan, Huaibo Huang, Xiaoqiang Zhou, Ran He:
Lightweight Vision Transformer with Bidirectional Interaction. CoRR abs/2306.00396 (2023) - [i102]Haogeng Liu, Tao Wang, Jie Cao, Ran He, Jianhua Tao:
Boosting Fast and High-Quality Speech Synthesis with Linear Diffusion. CoRR abs/2306.05708 (2023) - [i101]Rui Wang, Peipei Li, Huaibo Huang, Chunshui Cao, Ran He, Zhaofeng He:
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification. CoRR abs/2306.13856 (2023) - [i100]Yongcan Yu, Lijun Sheng, Ran He, Jian Liang:
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification. CoRR abs/2307.03133 (2023) - [i99]Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, Tieniu Tan:
Improving Zero-Shot Generalization for CLIP with Synthesized Prompts. CoRR abs/2307.07397 (2023) - [i98]Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He:
TALL: Thumbnail Layout for Deepfake Video Detection. CoRR abs/2307.07494 (2023) - [i97]Jiyang Guan, Jian Liang, Ran He:
Test-Time Adaptation for Backdoor Defense. CoRR abs/2308.06107 (2023) - [i96]Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan:
Towards Realistic Unsupervised Fine-tuning with CLIP. CoRR abs/2308.12919 (2023) - [i95]Haichao Shi, Mandi Luo, Xiao-Yu Zhang, Ran He:
Learning Cross-modality Information Bottleneck Representation for Heterogeneous Person Re-Identification. CoRR abs/2308.15063 (2023) - [i94]Linsen Song, Wayne Wu, Chaoyou Fu, Chen Change Loy, Ran He:
Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis. CoRR abs/2309.00030 (2023) - [i93]Qihang Fan, Huaibo Huang, Mingrui Chen, Hongmin Liu, Ran He:
RMT: Retentive Networks Meet Vision Transformers. CoRR abs/2309.11523 (2023) - [i92]Junchi Yu, Ran He, Rex Ying:
Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models. CoRR abs/2310.03965 (2023) - [i91]Haogeng Liu, Qihang Fan, Tingkai Liu, Linjie Yang, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang:
Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling. CoRR abs/2310.04991 (2023) - [i90]Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang:
Video-CSR: Complex Video Digest Creation for Visual-Language Models. CoRR abs/2310.05060 (2023) - [i89]Yingqing He, Shaoshu Yang, Haoxin Chen, Xiaodong Cun, Menghan Xia, Yong Zhang, Xintao Wang, Ran He, Qifeng Chen, Ying Shan:
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models. CoRR abs/2310.07702 (2023) - [i88]Siyu Xing, Jie Cao, Huaibo Huang, Xiao-Yu Zhang, Ran He:
Exploring Straighter Trajectories of Flow Matching with Diffusion Guidance. CoRR abs/2311.16507 (2023) - [i87]Jin Liu, Huaibo Huang, Chao Jin, Ran He:
Portrait Diffusion: Training-free Face Stylization with Chain-of-Painting. CoRR abs/2312.02212 (2023) - [i86]Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He:
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration. CoRR abs/2312.02918 (2023) - 2022
- [j69]Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He:
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2938-2952 (2022) - [j68]Si Liu, Wentao Jiang, Chen Gao, Ran He, Jiashi Feng, Bo Li, Shuicheng Yan:
PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8538-8551 (2022) - [j67]Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8602-8617 (2022) - [j66]Chaoyou Fu, Guoli Wang, Xiang Wu, Qian Zhang, Ran He:
Deep momentum uncertainty hashing. Pattern Recognit. 122: 108264 (2022) - [j65]Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He:
Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognit. 126: 108581 (2022) - [j64]Jianze Wei, Yunlong Wang, Yi Li, Ran He, Zhenan Sun:
Cross-Spectral Iris Recognition by Learning Device-Specific Band. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3810-3824 (2022) - [j63]Hongchao Li, Xianmin Lin, Aihua Zheng, Chenglong Li, Bin Luo, Ran He, Amir Hussain:
Attributes Guided Feature Learning for Vehicle Re-Identification. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1211-1221 (2022) - [j62]Linsen Song, Wayne Wu, Chen Qian, Ran He, Chen Change Loy:
Everybody's Talkin': Let Me Talk as You Want. IEEE Trans. Inf. Forensics Secur. 17: 585-598 (2022) - [j61]Jianze Wei, Huaibo Huang, Yunlong Wang, Ran He, Zhenan Sun:
Towards More Discriminative and Robust Iris Recognition by Learning Uncertain Factors. IEEE Trans. Inf. Forensics Secur. 17: 865-879 (2022) - [j60]Mandi Luo, Haoxue Wu, Huaibo Huang, Weizan He, Ran He:
Memory-Modulated Transformer Network for Heterogeneous Face Recognition. IEEE Trans. Inf. Forensics Secur. 17: 2095-2109 (2022) - [c137]Zi Wang, Chenglong Li, Aihua Zheng, Ran He, Jin Tang:
Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification. AAAI 2022: 2633-2641 - [c136]Puning Yang, Huaibo Huang, Zhiyong Wang, Aijing Yu, Ran He:
Confidence-Calibrated Face Image Forgery Detection with Contrastive Representation Distillation. ACCV (4) 2022: 3-19 - [c135]Gengyun Jia, Huaibo Huang, Chaoyou Fu, Ran He:
Rethinking Image Cropping: Exploring Diverse Compositions from Global Views. CVPR 2022: 2436-2445 - [c134]Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
DINE: Domain Adaptation from Single and Multiple Black-box Predictors. CVPR 2022: 7993-8003 - [c133]Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao:
Few-shot Backdoor Defense Using Shapley Estimation. CVPR 2022: 13348-13357 - [c132]Junchi Yu, Jie Cao, Ran He:
Improving Subgraph Recognition with Variational Graph Information Bottleneck. CVPR 2022: 19374-19383 - [c131]Weikuo Guo, Huaibo Huang, Xiangwei Kong, Ran He:
Fine-Grained Cross-Modal Retrieval with Triple-Streamed Memory Fusion Transformer Encoder. ICME 2022: 1-6 - [c130]Mandi Luo, Jie Cao, Ran He:
Order-aware Human Interaction Manipulation. ACM Multimedia 2022: 2691-2699 - [c129]Jiyang Guan, Jian Liang, Ran He:
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. NeurIPS 2022 - [c128]Huaibo Huang, Xiaoqiang Zhou, Ran He:
Orthogonal Transformer: An Efficient Vision Transformer Backbone with Token Orthogonalization. NeurIPS 2022 - [c127]Mandi Luo, Xin Ma, Huaibo Huang, Ran He:
Style-Based Attentive Network for Real-World Face Hallucination. PRCV (4) 2022: 262-273 - [c126]Shaoheng Song, Huaibo Huang, Jiaxiang Wang, Aihua Zheng, Ran He:
Prior-Guided Multi-scale Fusion Transformer for Face Attribute Recognition. PRCV (1) 2022: 645-659 - [p1]Yuxin Wang, Linsen Song, Wayne Wu, Chen Qian, Ran He, Chen Change Loy:
Talking Faces: Audio-to-Video Face Generation. Handbook of Digital Face Manipulation and Detection 2022: 163-188 - [i85]Jia Li, Jie Cao, Junxian Duan, Ran He:
Styleverse: Towards Identity Stylization across Heterogeneous Domains. CoRR abs/2203.00861 (2022) - [i84]Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao:
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR abs/2205.10014 (2022) - [i83]Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He:
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation. CoRR abs/2205.14566 (2022) - [i82]Junchi Yu, Jian Liang, Ran He:
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization. CoRR abs/2206.09345 (2022) - [i81]Zi Wang, Huaibo Huang, Aihua Zheng, Chenglong Li, Ran He:
Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification. CoRR abs/2210.05438 (2022) - [i80]Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He:
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data. CoRR abs/2210.15137 (2022) - [i79]Jiyang Guan, Jian Liang, Ran He:
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. CoRR abs/2210.15427 (2022) - [i78]Huaibo Huang, Xiaoqiang Zhou, Jie Cao, Ran He, Tieniu Tan:
Vision Transformer with Super Token Sampling. CoRR abs/2211.11167 (2022) - 2021
- [j59]Hao Zhu, Mandi Luo, Rui Wang, Aihua Zheng, Ran He:
Deep Audio-visual Learning: A Survey. Int. J. Autom. Comput. 18(3): 351-376 (2021) - [j58]Zhihang Li, Teng Xi, Gang Zhang, Jingtuo Liu, Ran He:
AutoDet: Pyramid Network Architecture Search for Object Detection. Int. J. Comput. Vis. 129(4): 1087-1105 (2021) - [j57]Huaibo Huang, Aijing Yu, Zhenhua Chai, Ran He, Tieniu Tan:
Selective Wavelet Attention Learning for Single Image Deraining. Int. J. Comput. Vis. 129(4): 1282-1300 (2021) - [j56]Aijing Yu, Haoxue Wu, Huaibo Huang, Zhen Lei, Ran He:
LAMP-HQ: A Large-Scale Multi-pose High-Quality Database and Benchmark for NIR-VIS Face Recognition. Int. J. Comput. Vis. 129(5): 1467-1483 (2021) - [j55]Ran He, Yi Li, Xiang Wu, Lingxiao Song, Zhenhua Chai, Xiaolin Wei:
Coupled adversarial learning for semi-supervised heterogeneous face recognition. Pattern Recognit. 110: 107618 (2021) - [j54]Gengyun Jia, Meisong Zheng, Chuanrui Hu, Xin Ma, Yuting Xu, Luoqi Liu, Yafeng Deng, Ran He:
Inconsistency-Aware Wavelet Dual-Branch Network for Face Forgery Detection. IEEE Trans. Biom. Behav. Identity Sci. 3(3): 308-319 (2021) - [j53]Chaoyou Fu, Yibo Hu, Xiang Wu, Guoli Wang, Qian Zhang, Ran He:
High-Fidelity Face Manipulation With Extreme Poses and Expressions. IEEE Trans. Inf. Forensics Secur. 16: 2218-2231 (2021) - [j52]Mandi Luo, Jie Cao, Xin Ma, Xiaoyu Zhang, Ran He:
FA-GAN: Face Augmentation GAN for Deformation-Invariant Face Recognition. IEEE Trans. Inf. Forensics Secur. 16: 2341-2355 (2021) - [j51]Mandi Luo, Xin Ma, Zhihang Li, Jie Cao, Ran He:
Partial NIR-VIS Heterogeneous Face Recognition With Automatic Saliency Search. IEEE Trans. Inf. Forensics Secur. 16: 5003-5017 (2021) - [c125]Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He:
Pareidolia Face Reenactment. CVPR 2021: 2236-2245 - [c124]Gege Gao, Huaibo Huang, Chaoyou Fu, Zhaoyang Li, Ran He:
Information Bottleneck Disentanglement for Identity Swapping. CVPR 2021: 3404-3413 - [c123]Jia Li, Zhaoyang Li, Jie Cao, Xingguang Song, Ran He:
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains. CVPR 2021: 5089-5098 - [c122]Huaibo Huang, Aijing Yu, Ran He:
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining. CVPR 2021: 7732-7741 - [c121]Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun:
ReMix: Towards Image-to-Image Translation With Limited Data. CVPR 2021: 15018-15027 - [c120]Zongcai Sun, Chaoyou Fu, Mandi Luo, Ran He:
Self-Augmented Heterogeneous Face Recognition. IJCB 2021: 1-8 - [c119]Jianze Wei, Ran He, Zhenan Sun:
Contrastive Uncertainty Learning for Iris Recognition with Insufficient Labeled Samples. IJCB 2021: 1-8 - [c118]Yuting Xu, Gengyun Jia, Huaibo Huang, Junxian Duan, Ran He:
Visual-Semantic Transformer for Face Forgery Detection. IJCB 2021: 1-7 - [c117]Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He:
CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification. ICCV 2021: 11803-11812 - [c116]Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu:
Invisible Backdoor Attack with Sample-Specific Triggers. ICCV 2021: 16443-16452 - [c115]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Graph Information Bottleneck for Subgraph Recognition. ICLR 2021 - [i77]Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He:
CM-NAS: Rethinking Cross-Modality Neural Architectures for Visible-Infrared Person Re-Identification. CoRR abs/2101.08467 (2021) - [i76]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Recognizing Predictive Substructures with Subgraph Information Bottleneck. CoRR abs/2103.11155 (2021) - [i75]Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun:
ReMix: Towards Image-to-Image Translation with Limited Data. CoRR abs/2103.16835 (2021) - [i74]Jian Liang, Dapeng Hu, Ran He, Jiashi Feng:
Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. CoRR abs/2104.01539 (2021) - [i73]Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He:
Everything's Talkin': Pareidolia Face Reenactment. CoRR abs/2104.03061 (2021) - [i72]Si Liu, Wentao Jiang, Chen Gao, Ran He, Jiashi Feng, Bo Li, Shuicheng Yan:
PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal. CoRR abs/2105.12324 (2021) - [i71]Jia Li, Huaibo Huang, Xiaofei Jia, Ran He:
Universal Face Restoration With Memorized Modulation. CoRR abs/2110.01033 (2021) - [i70]Gege Gao, Huaibo Huang, Chaoyou Fu, Ran He:
Learning Causal Representation for Face Transfer across Large Appearance Gap. CoRR abs/2110.01571 (2021) - [i69]Jianze Wei, Huaibo Huang, Muyi Sun, Ran He, Zhenan Sun:
Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning. CoRR abs/2110.10334 (2021) - [i68]Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
UMAD: Universal Model Adaptation under Domain and Category Shift. CoRR abs/2112.08553 (2021) - [i67]Junchi Yu, Tingyang Xu, Ran He:
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows. CoRR abs/2112.09895 (2021) - [i66]Junchi Yu, Jie Cao, Ran He:
Improving Subgraph Recognition with Variational Graph Information Bottleneck. CoRR abs/2112.09899 (2021) - [i65]Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao:
Few-shot Backdoor Defense Using Shapley Estimation. CoRR abs/2112.14889 (2021) - 2020
- [b2]Yi Li, Huaibo Huang, Ran He, Tieniu Tan:
Heterogeneous Facial Analysis and Synthesis. Springer Briefs in Computer Science, Springer 2020, ISBN 978-981-13-9147-7, pp. 1-97 - [j50]Yanbo Fan, Baoyuan Wu, Ran He, Bao-Gang Hu, Yong Zhang, Siwei Lyu:
Groupwise Ranking Loss for Multi-Label Learning. IEEE Access 8: 21717-21727 (2020) - [j49]Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun:
Towards High Fidelity Face Frontalization in the Wild. Int. J. Comput. Vis. 128(5): 1485-1504 (2020) - [j48]Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He:
A Survey of Deep Facial Attribute Analysis. Int. J. Comput. Vis. 128(8): 2002-2034 (2020) - [j47]Xiang Wu, Ran He, Yibo Hu, Zhenan Sun:
Learning an Evolutionary Embedding via Massive Knowledge Distillation. Int. J. Comput. Vis. 128(8): 2089-2106 (2020) - [j46]Yi Li, Huaibo Huang, Jie Cao, Ran He, Tieniu Tan:
Disentangled Representation Learning of Makeup Portraits in the Wild. Int. J. Comput. Vis. 128(8): 2166-2184 (2020) - [j45]Qi Li, Zhenan Sun, Ran He, Tieniu Tan:
A General Framework for Deep Supervised Discrete Hashing. Int. J. Comput. Vis. 128(8): 2204-2222 (2020) - [j44]Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan:
Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1025-1037 (2020) - [j43]Zhihang Li, Yibo Hu, Ran He, Zhenan Sun:
Learning disentangling and fusing networks for face completion under structured occlusions. Pattern Recognit. 99 (2020) - [j42]Xin Zheng, Huaibo Huang, Yanqing Guo, Bo Wang, Ran He:
BLAN: Bi-directional ladder attentive network for facial attribute prediction. Pattern Recognit. 100: 107155 (2020) - [j41]Peipei Li, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun:
Deep label refinement for age estimation. Pattern Recognit. 100: 107178 (2020) - [j40]Caiyong Wang, Yunlong Wang, Yunfan Liu, Zhaofeng He, Ran He, Zhenan Sun:
ScleraSegNet: An Attention Assisted U-Net Model for Accurate Sclera Segmentation. IEEE Trans. Biom. Behav. Identity Sci. 2(1): 40-54 (2020) - [j39]Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang:
Recurrent Prediction With Spatio-Temporal Attention for Crowd Attribute Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2167-2177 (2020) - [j38]Zhihang Li, Xu Tang, Xiang Wu, Jingtuo Liu, Ran He:
Progressively Refined Face Detection Through Semantics-Enriched Representation Learning. IEEE Trans. Inf. Forensics Secur. 15: 1394-1406 (2020) - [c114]Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan:
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer. CVPR 2020: 5193-5201 - [c113]Boyan Duan, Chaoyou Fu, Yi Li, Xingguang Song, Ran He:
Cross-Spectral Face Hallucination via Disentangling Independent Factors. CVPR 2020: 7927-7935 - [c112]Zhihang Li, Teng Xi, Jiankang Deng, Gang Zhang, Shengzhao Wen, Ran He:
GP-NAS: Gaussian Process Based Neural Architecture Search. CVPR 2020: 11930-11939 - [c111]Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun:
Hierarchical Face Aging Through Disentangled Latent Characteristics. ECCV (3) 2020: 86-101 - [c110]Yibo Hu, Xiang Wu, Ran He:
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search. ECCV (15) 2020: 123-139 - [c109]Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. ECCV (11) 2020: 123-140 - [c108]Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun:
Informative Sample Mining Network for Multi-domain Image-to-Image Translation. ECCV (19) 2020: 404-419 - [c107]Kaisiyuan Wang, Qianyi Wu, Linsen Song, Zhuoqian Yang, Wayne Wu, Chen Qian, Ran He, Yu Qiao, Chen Change Loy:
MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation. ECCV (21) 2020: 700-717 - [c106]Rui Wang, Huaibo Huang, Aihua Zheng, Ran He:
Attentional Wavelet Network for Traditional Chinese Painting Transfer. ICPR 2020: 3077-3083 - [c105]Hao Zhu, Yi Li, Feixia Zhu, Aihua Zheng, Ran He:
Let's Play Music: Audio-Driven Performance Video Generation. ICPR 2020: 3574-3581 - [c104]Aihua Zheng, Feixia Zhu, Hao Zhu, Mandi Luo, Ran He:
Talking Face Generation via Learning Semantic and Temporal Synchronous Landmarks. ICPR 2020: 3682-3689 - [c103]Haoxue Wu, Huaibo Huang, Aijing Yu, Jie Cao, Zhen Lei, Ran He:
Exemplar Guided Cross-Spectral Face Hallucination via Mutual Information Disentanglement. ICPR 2020: 4206-4212 - [c102]Xiaoqiang Zhou, Junjie Li, Zilei Wang, Ran He, Tieniu Tan:
Image Inpainting with Contrastive Relation Network. ICPR 2020: 4420-4427 - [c101]Yuhe Ding, Xin Ma, Mandi Luo, Aihua Zheng, Ran He:
Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion. ICPR 2020: 4520-4527 - [c100]Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Zhenhua Chai, Xiaolin Wei, Ran He:
Free-Form Image Inpainting via Contrastive Attention Network. ICPR 2020: 9242-9249 - [c99]Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, Ran He:
$P^{2}$ Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation. ICPR 2020: 9658-9665 - [c98]Hao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He:
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning. IJCAI 2020: 2362-2368 - [c97]Chen Gao, Si Liu, Defa Zhu, Quan Liu, Jie Cao, Haoqian He, Ran He, Shuicheng Yan:
InteractGAN: Learning to Generate Human-Object Interaction. ACM Multimedia 2020: 165-173 - [c96]Peipei Li, Yinglu Liu, Hailin Shi, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun:
Dual-Structure Disentangling Variational Generation for Data-Limited Face Parsing. ACM Multimedia 2020: 556-564 - [c95]Wentao Jiang, Si Liu, Chen Gao, Ran He, Bo Li, Shuicheng Yan:
Beautify As You Like. ACM Multimedia 2020: 4542-4544 - [c94]Hao Zhu, Chaoyou Fu, Qianyi Wu, Wayne Wu, Chen Qian, Ran He:
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection. NeurIPS 2020 - [i64]Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun:
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation. CoRR abs/2001.01173 (2020) - [i63]Hao Zhu, Mandi Luo, Rui Wang, Aihua Zheng, Ran He:
Deep Audio-Visual Learning: A Survey. CoRR abs/2001.04758 (2020) - [i62]Linsen Song, Wayne Wu, Chen Qian, Ran He, Chen Change Loy:
Everybody's Talkin': Let Me Talk as You Want. CoRR abs/2001.05201 (2020) - [i61]Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. CoRR abs/2003.02541 (2020) - [i60]Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Yiping Meng, Ran He, Jieping Ye:
Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation. CoRR abs/2003.07516 (2020) - [i59]Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan:
Cosmetic-Aware Makeup Cleanser. CoRR abs/2004.09147 (2020) - [i58]Chen Gao, Si Liu, Ran He, Shuicheng Yan, Bo Li:
Recapture as You Want. CoRR abs/2006.01435 (2020) - [i57]Yibo Hu, Xiang Wu, Ran He:
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search. CoRR abs/2008.05314 (2020) - [i56]Chaoyou Fu, Guoli Wang, Xiang Wu, Qian Zhang, Ran He:
Deep Momentum Uncertainty Hashing. CoRR abs/2009.08012 (2020) - [i55]Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He:
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition. CoRR abs/2009.09399 (2020) - [i54]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Graph Information Bottleneck for Subgraph Recognition. CoRR abs/2010.05563 (2020) - [i53]Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, Ran He:
P2 Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation. CoRR abs/2010.14076 (2020) - [i52]Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Zhenhua Chai, Xiaolin Wei, Ran He:
Free-Form Image Inpainting via Contrastive Attention Network. CoRR abs/2010.15643 (2020) - [i51]Hao Zhu, Yi Li, Feixia Zhu, Aihua Zheng, Ran He:
Lets Play Music: Audio-driven Performance Video Generation. CoRR abs/2011.02631 (2020) - [i50]Hao Zhu, Chaoyou Fu, Qianyi Wu, Wayne Wu, Chen Qian, Ran He:
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection. CoRR abs/2011.02674 (2020) - [i49]Yuhe Ding, Xin Ma, Mandi Luo, Aihua Zheng, Ran He:
Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion. CoRR abs/2011.04965 (2020) - [i48]Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu:
Backdoor Attack with Sample-Specific Triggers. CoRR abs/2012.03816 (2020) - [i47]Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer. CoRR abs/2012.07297 (2020)
2010 – 2019
- 2019
- [j37]Huaibo Huang, Ran He, Zhenan Sun, Tieniu Tan:
Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination. Int. J. Comput. Vis. 127(6-7): 763-784 (2019) - [j36]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1027-1042 (2019) - [j35]Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan:
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1761-1773 (2019) - [j34]Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan:
Learning a bi-level adversarial network with global and local perception for makeup-invariant face verification. Pattern Recognit. 90: 99-108 (2019) - [j33]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Exploring uncertainty in pseudo-label guided unsupervised domain adaptation. Pattern Recognit. 96 (2019) - [j32]Jie Cao, Yibo Hu, Bing Yu, Ran He, Zhenan Sun:
3D Aided Duet GANs for Multi-View Face Image Synthesis. IEEE Trans. Inf. Forensics Secur. 14(8): 2028-2042 (2019) - [j31]Peipei Li, Yibo Hu, Ran He, Zhenan Sun:
Global and Local Consistent Wavelet-Domain Age Synthesis. IEEE Trans. Inf. Forensics Secur. 14(11): 2943-2957 (2019) - [c93]Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He:
Geometry-Aware Face Completion and Editing. AAAI 2019: 2506-2513 - [c92]Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang:
Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition. AAAI 2019: 8634-8641 - [c91]Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun:
Disentangled Variational Representation for Heterogeneous Face Recognition. AAAI 2019: 9005-9012 - [c90]Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan:
Semantic-Aware Makeup Cleanser. BTAS 2019: 1-7 - [c89]Jianze Wei, Yunlong Wang, Xiang Wu, Zhaofeng He, Ran He, Zhenan Sun:
Cross-sensor iris recognition using adversarial strategy and sensor-specific information. BTAS 2019: 1-8 - [c88]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation. CVPR 2019: 2975-2984 - [c87]Caiyong Wang, Yong He, Yunfan Liu, Zhaofeng He, Ran He, Zhenan Sun:
ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation. ICB 2019: 1-8 - [c86]Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He:
Make a Face: Towards Arbitrary High Fidelity Face Manipulation. ICCV 2019: 10032-10041 - [c85]Peipei Li, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun:
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis. ICCV 2019: 10042-10050 - [c84]Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang:
Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation. IJCAI 2019: 833-839 - [c83]Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He:
Pose-preserving Cross Spectral Face Hallucination. IJCAI 2019: 1018-1024 - [c82]Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He:
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing. IJCAI 2019: 2322-2328 - [c81]Weikuo Guo, Huaibo Huang, Xiangwei Kong, Ran He:
Learning Disentangled Representation for Cross-Modal Retrieval with Deep Mutual Information Estimation. ACM Multimedia 2019: 1712-1720 - [c80]Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He:
Dual Variational Generation for Low Shot Heterogeneous Face Recognition. NeurIPS 2019: 2670-2679 - [e3]Zhenan Sun, Ran He, Jianjiang Feng, Shiguang Shan, Zhenhua Guo:
Biometric Recognition - 14th Chinese Conference, CCBR 2019, Zhuzhou, China, October 12-13, 2019, Proceedings. Lecture Notes in Computer Science 11818, Springer 2019, ISBN 978-3-030-31455-2 [contents] - [i46]Caiyong Wang, Yuhao Zhu, Yunfan Liu, Ran He, Zhenan Sun:
Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework. CoRR abs/1901.11195 (2019) - [i45]Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan:
Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition. CoRR abs/1902.03565 (2019) - [i44]Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He:
Dual Variational Generation for Low-Shot Heterogeneous Face Recognition. CoRR abs/1903.10203 (2019) - [i43]Chaoyou Fu, Yibo Hu, Xiang Wu, Guoli Wang, Qian Zhang, Ran He:
High Fidelity Face Manipulation with Extreme Pose and Expression. CoRR abs/1903.12003 (2019) - [i42]Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun:
UVA: A Universal Variational Framework for Continuous Age Analysis. CoRR abs/1904.00158 (2019) - [i41]Peipei Li, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun:
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis. CoRR abs/1904.00168 (2019) - [i40]Zhihang Li, Xu Tang, Junyu Han, Jingtuo Liu, Ran He:
PyramidBox++: High Performance Detector for Finding Tiny Face. CoRR abs/1904.00386 (2019) - [i39]Jie Cao, Huaibo Huang, Yi Li, Jingtuo Liu, Ran He, Zhenan Sun:
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation. CoRR abs/1904.06624 (2019) - [i38]Aihua Zheng, Xianmin Lin, Chenglong Li, Ran He, Jin Tang:
Attributes Guided Feature Learning for Vehicle Re-identification. CoRR abs/1905.08997 (2019) - [i37]Gengyun Jia, Peipei Li, Ran He:
Theme Aware Aesthetic Distribution Prediction with Full Resolution Photos. CoRR abs/1908.01308 (2019) - [i36]Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He:
Make a Face: Towards Arbitrary High Fidelity Face Manipulation. CoRR abs/1908.07191 (2019) - [i35]Boyan Duan, Chaoyou Fu, Yi Li, Xingguang Song, Ran He:
Pose Agnostic Cross-spectral Hallucination via Disentangling Independent Factors. CoRR abs/1909.04365 (2019) - [i34]Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan:
PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer. CoRR abs/1909.06956 (2019) - [i33]Aijing Yu, Haoxue Wu, Huaibo Huang, Zhen Lei, Ran He:
LAMP-HQ: A Large-Scale Multi-Pose High-Quality Database for NIR-VIS Face Recognition. CoRR abs/1912.07809 (2019) - [i32]Xin Ma, Yi Li, Huaibo Huang, Mandi Luo, Tanhao Hu, Ran He:
Style-based Variational Autoencoder for Real-World Super-Resolution. CoRR abs/1912.10227 (2019) - 2018
- [j30]Ran He, Tieniu Tan, Larry S. Davis, Zhenan Sun:
Learning structured ordinal measures for video based face recognition. Pattern Recognit. 75: 4-14 (2018) - [j29]Dong Wang, Ran He, Liang Wang, Tieniu Tan:
Robust linear representation via exploiting structure prior. Pattern Recognit. 76: 560-568 (2018) - [j28]Shu Zhang, Ran He, Zhenan Sun, Tieniu Tan:
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification. IEEE Trans. Inf. Forensics Secur. 13(3): 637-647 (2018) - [j27]Xiang Wu, Ran He, Zhenan Sun, Tieniu Tan:
A Light CNN for Deep Face Representation With Noisy Labels. IEEE Trans. Inf. Forensics Secur. 13(11): 2884-2896 (2018) - [c79]Xiang Wu, Lingxiao Song, Ran He, Tieniu Tan:
Coupled Deep Learning for Heterogeneous Face Recognition. AAAI 2018: 1679-1686 - [c78]Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan:
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification. AAAI 2018: 7057-7064 - [c77]Lingxiao Song, Man Zhang, Xiang Wu, Ran He:
Adversarial Discriminative Heterogeneous Face Recognition. AAAI 2018: 7355-7362 - [c76]Weikuo Guo, Jian Liang, Xiangwei Kong, Lingxiao Song, Ran He:
X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding. ACCV (5) 2018: 513-529 - [c75]Yujia Chen, Lingxiao Song, Yibo Hu, Ran He:
Adversarial Occlusion-aware Face Detection. BTAS 2018: 1-9 - [c74]Yibo Hu, Lingxiao Song, Bing Yu, Ran He, Zhenan Sun:
Adversarial Embedding and Variational Aggregation for Video Face Recognition. BTAS 2018: 1-8 - [c73]Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun:
Pose-Guided Photorealistic Face Rotation. CVPR 2018: 8398-8406 - [c72]Zhihang Li, Yibo Hu, Man Zhang, Min Xu, Ran He:
Protecting Your Faces: MeshFaces Generation and Removal via High-Order Relation-Preserving CycleGAN. ICB 2018: 61-68 - [c71]Jianze Wei, Jian Liang, Ran He, Jinfeng Yang:
Learning Discriminative Geodesic Flow Kernel for Unsupervised Domain Adaptation. ICME 2018: 1-6 - [c70]Peipei Li, Yibo Hu, Qi Li, Ran He, Zhenan Sun:
Global and Local Consistent Age Generative Adversarial Networks. ICPR 2018: 1073-1078 - [c69]Lingxiao Song, Zhihe Lu, Ran He, Zhenan Sun, Tieniu Tan:
Geometry Guided Adversarial Facial Expression Synthesis. ACM Multimedia 2018: 627-635 - [c68]Zhihe Lu, Tanhao Hu, Lingxiao Song, Zhaoxiang Zhang, Ran He:
Conditional Expression Synthesis with Face Parsing Transformation. ACM Multimedia 2018: 1083-1091 - [c67]Huaibo Huang, Zhihang Li, Ran He, Zhenan Sun, Tieniu Tan:
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis. NeurIPS 2018: 52-63 - [c66]Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun:
Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization. NeurIPS 2018: 2872-2882 - [e2]Yongtian Wang, Shengjin Wang, Yue Liu, Jian Yang, Xiaoru Yuan, Ran He, Henry Been-Lirn Duh:
Advances in Image and Graphics Technologies - 12th Chinese conference, IGTA 2017, Beijing, China, June 30 - July 1, 2017, Revised Selected Papers. Communications in Computer and Information Science 757, Springer 2018, ISBN 978-981-10-7388-5 [contents] - [i31]Peipei Li, Yibo Hu, Qi Li, Ran He, Zhenan Sun:
Global and Local Consistent Age Generative Adversarial Networks. CoRR abs/1801.08390 (2018) - [i30]Jie Cao, Yibo Hu, Bing Yu, Ran He, Zhenan Sun:
Load Balanced GANs for Multi-view Face Image Synthesis. CoRR abs/1802.07447 (2018) - [i29]Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun:
Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization. CoRR abs/1806.08472 (2018) - [i28]Huaibo Huang, Lingxiao Song, Ran He, Zhenan Sun, Tieniu Tan:
Variational Capsules for Image Analysis and Synthesis. CoRR abs/1807.04099 (2018) - [i27]Huaibo Huang, Zhihang Li, Ran He, Zhenan Sun, Tieniu Tan:
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis. CoRR abs/1807.06358 (2018) - [i26]Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun:
Disentangled Variational Representation for Heterogeneous Face Recognition. CoRR abs/1809.01936 (2018) - [i25]Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He:
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing. CoRR abs/1809.02302 (2018) - [i24]Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He:
Geometry-Aware Face Completion and Editing. CoRR abs/1809.02967 (2018) - [i23]Peipei Li, Yibo Hu, Ran He, Zhenan Sun:
A Coupled Evolutionary Network for Age Estimation. CoRR abs/1809.07447 (2018) - [i22]Peipei Li, Yibo Hu, Ran He, Zhenan Sun:
Global and Local Consistent Wavelet-domain Age Synthesis. CoRR abs/1809.07764 (2018) - [i21]Hao Zhu, Aihua Zheng, Huaibo Huang, Ran He:
High-Resolution Talking Face Generation via Mutual Information Approximation. CoRR abs/1812.06589 (2018) - [i20]Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He:
A Survey to Deep Facial Attribute Analysis. CoRR abs/1812.10265 (2018) - 2017
- [j26]Dekui Ma, Jian Liang, Ran He, Xiangwei Kong:
Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data. IEEE Multim. 24(2): 56-65 (2017) - [j25]Ran He, Brian C. Lovell, Rama Chellappa, Anil K. Jain, Zhenan Sun:
Editorial: Special issue on ubiquitous biometrics. Pattern Recognit. 66: 1-3 (2017) - [j24]Yueying Kao, Ran He, Kaiqi Huang:
Deep Aesthetic Quality Assessment With Semantic Information. IEEE Trans. Image Process. 26(3): 1482-1495 (2017) - [j23]Yi Li, Yanqing Guo, Yueying Kao, Ran He:
Image Piece Learning for Weakly Supervised Semantic Segmentation. IEEE Trans. Syst. Man Cybern. Syst. 47(4): 648-659 (2017) - [c65]Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu:
Self-Paced Learning: An Implicit Regularization Perspective. AAAI 2017: 1877-1883 - [c64]Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan:
Learning Invariant Deep Representation for NIR-VIS Face Recognition. AAAI 2017: 2000-2006 - [c63]Zhihe Lu, Zhihang Li, Jie Cao, Ran He, Zhenan Sun:
Recent Progress of Face Image Synthesis. ACPR 2017: 7-12 - [c62]Yibo Hu, Xiang Wu, Ran He:
Attention-Set Based Metric Learning for Video Face Recognition. ACPR 2017: 97-102 - [c61]Yueying Kao, Ran He, Kaiqi Huang:
Automatic image cropping with aesthetic map and gradient energy map. ICASSP 2017: 1982-1986 - [c60]Qi Li, Zhenan Sun, Ran He:
Fast multi-view face alignment via multi-task auto-encoders. IJCB 2017: 538-545 - [c59]Huaibo Huang, Ran He, Zhenan Sun, Tieniu Tan:
Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution. ICCV 2017: 1698-1706 - [c58]Jun Guo, Yanqing Guo, Xiangwei Kong, Ran He:
Unsupervised feature selection with ordinal locality. ICME 2017: 1213-1218 - [c57]Chaoyou Fu, Xiang Wu, Jing Dong, Ran He:
Global Perception Feedback Convolutional Neural Networks. IGTA 2017: 65-73 - [c56]Qi Li, Zhenan Sun, Ran He, Tieniu Tan:
Deep Supervised Discrete Hashing. NIPS 2017: 2482-2491 - [i19]Xiang Wu, Lingxiao Song, Ran He, Tieniu Tan:
Coupled Deep Learning for Heterogeneous Face Recognition. CoRR abs/1704.02450 (2017) - [i18]Yanbo Fan, Jian Liang, Ran He, Bao-Gang Hu, Siwei Lyu:
Robust Localized Multi-view Subspace Clustering. CoRR abs/1705.07777 (2017) - [i17]Qi Li, Zhenan Sun, Ran He, Tieniu Tan:
Deep Supervised Discrete Hashing. CoRR abs/1705.10999 (2017) - [i16]Zhihe Lu, Zhihang Li, Jie Cao, Ran He, Zhenan Sun:
Recent Progress of Face Image Synthesis. CoRR abs/1706.04717 (2017) - [i15]Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan:
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition. CoRR abs/1708.02412 (2017) - [i14]Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan:
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification. CoRR abs/1709.03654 (2017) - [i13]Nan Xu, Yanqing Guo, Jiujun Wang, Xiangyang Luo, Ran He:
Joint Adaptive Neighbours and Metric Learning for Multi-view Subspace Clustering. CoRR abs/1709.03656 (2017) - [i12]Lingxiao Song, Man Zhang, Xiang Wu, Ran He:
Adversarial Discriminative Heterogeneous Face Recognition. CoRR abs/1709.03675 (2017) - [i11]Yujia Chen, Lingxiao Song, Ran He:
Masquer Hunter: Adversarial Occlusion-aware Face Detection. CoRR abs/1709.05188 (2017) - [i10]Lingxiao Song, Zhihe Lu, Ran He, Zhenan Sun, Tieniu Tan:
Geometry Guided Adversarial Facial Expression Synthesis. CoRR abs/1712.03474 (2017) - [i9]Zhihang Li, Yibo Hu, Ran He:
Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions. CoRR abs/1712.04646 (2017) - 2016
- [j22]Kaiye Wang, Ran He, Liang Wang, Wei Wang, Tieniu Tan:
Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2010-2023 (2016) - [j21]Qi Li, Zhenan Sun, Zhouchen Lin, Ran He, Tieniu Tan:
Transformation invariant subspace clustering. Pattern Recognit. 59: 142-155 (2016) - [j20]Ran He, Liang Wang, Zhenan Sun, Yingya Zhang, Bo Li:
Information Theoretic Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2643-2655 (2016) - [c55]Man Zhang, Ran He, Dong Cao, Zhenan Sun, Tieniu Tan:
Simultaneous Feature and Sample Reduction for Image-Set Classification. AAAI 2016: 1401-1407 - [c54]Jun Guo, Yanqing Guo, Xiangwei Kong, Man Zhang, Ran He:
Discriminative Analysis Dictionary Learning. AAAI 2016: 1617-1623 - [c53]Xiaoxiang Liu, Xiaobo Sun, Ran He, Tieniu Tan:
Recent Advances on Cross-Domain Face Recognition. CCBR 2016: 147-157 - [c52]Shu Zhang, Ran He, Zhenan Sun, Tieniu Tan:
Multi-task ConvNet for blind face inpainting with application to face verification. ICB 2016: 1-8 - [c51]Jie Cao, Haiqing Li, Zhenan Sun, Ran He:
Accurate mouth state estimation via convolutional neural networks. DSP 2016: 134-138 - [c50]Zhihe Lu, Xiang Wu, Ran He:
Person identification from lip texture analysis. DSP 2016: 472-476 - [c49]Kaihao Zhang, Yongzhen Huang, Ran He, Hong Wu, Liang Wang:
Localize heavily occluded human faces via deep segmentation. ICIP 2016: 2311-2315 - [c48]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Group-Invariant Cross-Modal Subspace Learning. IJCAI 2016: 1739-1745 - [c47]Jun Guo, Yanqing Guo, Bo Wang, Xiangwei Kong, Ran He:
Topology preserving dictionary learning for pattern classification. IJCNN 2016: 1709-1715 - [c46]Linlin Cao, Ran He, Bao-Gang Hu:
Locally imposing function for Generalized Constraint Neural Networks - A study on equality constraints. IJCNN 2016: 4795-4802 - [c45]Dekui Ma, Jian Liang, Xiangwei Kong, Ran He, Ying Li:
Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval. ISM 2016: 38-43 - [c44]Dekui Ma, Jian Liang, Xiangwei Kong, Ran He:
Frustratingly Easy Cross-Modal Hashing. ACM Multimedia 2016: 237-241 - [c43]Jian Liang, Zhihang Li, Dong Cao, Ran He, Jingdong Wang:
Self-Paced Cross-Modal Subspace Matching. SIGIR 2016: 569-578 - [e1]Tieniu Tan, Guoping Wang, Shengjin Wang, Yue Liu, Xiaoru Yuan, Ran He, Sheng Li:
Advances in Image and Graphics Technologies - 11th Chinese Conference, IGTA 2016, Beijing, China, July 8-9, 2016, Proceedings. Communications in Computer and Information Science 634, Springer 2016, ISBN 978-981-10-2259-3 [contents] - [i8]Yueying Kao, Ran He, Kaiqi Huang:
Visual Aesthetic Quality Assessment with Multi-task Deep Learning. CoRR abs/1604.04970 (2016) - [i7]Linlin Cao, Ran He, Bao-Gang Hu:
Locally Imposing Function for Generalized Constraint Neural Networks - A Study on Equality Constraints. CoRR abs/1604.05198 (2016) - [i6]Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu:
Self-Paced Learning: an Implicit Regularization Perspective. CoRR abs/1606.00128 (2016) - [i5]Shu Zhang, Ran He, Tieniu Tan:
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification. CoRR abs/1611.05271 (2016) - 2015
- [j19]Qiyue Yin, Shu Wu, Ran He, Liang Wang:
Multi-view clustering via pairwise sparse subspace representation. Neurocomputing 156: 12-21 (2015) - [j18]Ran He, Yinghao Cai, Tieniu Tan, Larry S. Davis:
Learning predictable binary codes for face indexing. Pattern Recognit. 48(10): 3160-3168 (2015) - [j17]Shu Zhang, Jian Liang, Ran He, Zhenan Sun:
Code Consistent Hashing Based on Information-Theoretic Criterion. IEEE Trans. Big Data 1(3): 84-94 (2015) - [j16]Ran He, Yingya Zhang, Zhenan Sun, Qiyue Yin:
Robust Subspace Clustering With Complex Noise. IEEE Trans. Image Process. 24(11): 4001-4013 (2015) - [j15]Ran He, Man Zhang, Liang Wang, Ye Ji, Qiyue Yin:
Cross-Modal Subspace Learning via Pairwise Constraints. IEEE Trans. Image Process. 24(12): 5543-5556 (2015) - [c42]Dong Cao, Ran He, Zhenan Sun, Tieniu Tan:
Joint space learning for video-based face recognition. ACPR 2015: 16-20 - [c41]Jian Liang, Dong Cao, Ran He, Zhenan Sun, Tieniu Tan:
Principal affinity based cross-modal retrieval. ACPR 2015: 126-130 - [c40]Lingxiao Song, Man Zhang, Qi Li, Zhenan Sun, Ran He:
Float greedy-search-based subspace clustering. ACPR 2015: 201-205 - [c39]Shu Zhang, Man Zhang, Qi Li, Tieniu Tan, Ran He:
Supervised topology preserving hashing. ACPR 2015: 281-285 - [c38]Dong Wang, Ran He, Liang Wang, Tieniu Tan:
Adaptive multi-view clustering via cross trace lasso. ACPR 2015: 559-563 - [c37]Yanbo Fan, Ran He, Bao-Gang Hu:
Global and local consistent multi-view subspace clustering. ACPR 2015: 564-568 - [c36]Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan:
Multi-view Clustering via Structured Low-rank Representation. CIKM 2015: 1911-1914 - [c35]Dong Cao, Ran He, Man Zhang, Zhenan Sun, Tieniu Tan:
Real-world gender recognition using multi-order LBP and localized multi-boost learning. ISBA 2015: 1-6 - [c34]Kaiye Wang, Wei Wang, Liang Wang, Ran He:
A Two-step Approach to Cross-modal Hashing. ICMR 2015: 459-462 - [c33]Lingxiao Song, Man Zhang, Zhenan Sun, Jian Liang, Ran He:
Two-Step Greedy Subspace Clustering. PCM (1) 2015: 45-54 - [i4]Ran He, Tieniu Tan, Larry S. Davis, Zhenan Sun:
Learning Structured Ordinal Measures for Video based Face Recognition. CoRR abs/1507.02380 (2015) - [i3]Xiang Wu, Ran He, Zhenan Sun:
A Lightened CNN for Deep Face Representation. CoRR abs/1511.02683 (2015) - 2014
- [b1]Ran He, Bao-Gang Hu, Xiaotong Yuan, Liang Wang:
Robust Recognition via Information Theoretic Learning. Springer Briefs in Computer Science, Springer 2014, ISBN 978-3-319-07415-3, pp. 1-102 - [j14]Zhenhua Chai, Heydi Méndez-Vázquez, Ran He, Zhenan Sun, Tieniu Tan:
Explore semantic pixel sets based local patterns with information entropy for face recognition. EURASIP J. Image Video Process. 2014: 26 (2014) - [j13]Ran He, Wei-Shi Zheng, Tieniu Tan, Zhenan Sun:
Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 261-275 (2014) - [j12]Ran He, Tieniu Tan, Liang Wang:
Robust Recovery of Corrupted Low-RankMatrix by Implicit Regularizers. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 770-783 (2014) - [j11]Zhenhua Chai, Zhenan Sun, Heydi Mendez Vazquez, Ran He, Tieniu Tan:
Gabor Ordinal Measures for Face Recognition. IEEE Trans. Inf. Forensics Secur. 9(1): 14-26 (2014) - [c32]Guangxiao Zhang, Ran He, Larry S. Davis:
Jointly Learning Dictionaries and Subspace Structure for Video-Based Face Recognition. ACCV (3) 2014: 97-111 - [c31]Shu Zhang, Man Zhang, Ran He, Zhenan Sun:
Transform-invariant dictionary learning for face recognition. ICIP 2014: 348-352 - [c30]Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan:
Semi-supervised subspace segmentation. ICIP 2014: 2854-2858 - [i2]Ran He, Man Zhang, Liang Wang, Ye Ji, Qiyue Yin:
Cross-Modal Learning via Pairwise Constraints. CoRR abs/1411.7798 (2014) - 2013
- [j10]Ran He, Xiaotong Yuan, Wei-Shi Zheng:
A fast convex conjugated algorithm for sparse recovery. Neurocomputing 115: 178-185 (2013) - [j9]Yanqing Guo, Ran He, Wei-Shi Zheng, Xiangwei Kong, Zhaofeng He:
Robust spectral regression for face recognition. Neurocomputing 118: 33-40 (2013) - [j8]Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong:
Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition. IEEE Trans. Neural Networks Learn. Syst. 24(1): 35-46 (2013) - [c29]Kaiye Wang, Wei Wang, Ran He, Liang Wang, Tieniu Tan:
Multi-modal Subspace Learning with Joint Graph Regularization for Cross-Modal Retrieval. ACPR 2013: 236-240 - [c28]Lihu Xiao, Zhenan Sun, Ran He, Tieniu Tan:
Margin Based Feature Selection for Cross-Sensor Iris Recognition via Linear Programming. ACPR 2013: 246-250 - [c27]Yingya Zhang, Zhenan Sun, Ran He, Tieniu Tan:
Robust Low-Rank Representation via Correntropy. ACPR 2013: 461-465 - [c26]Qi Li, Zhenan Sun, Ran He, Tieniu Tan:
Joint Alignment and Clustering via Low-Rank Representation. ACPR 2013: 591-595 - [c25]Lihu Xiao, Zhenan Sun, Ran He, Tieniu Tan:
Coupled feature selection for cross-sensor iris recognition. BTAS 2013: 1-6 - [c24]Qi Li, Zhenan Sun, Ran He, Tieniu Tan:
Learning Symmetry Features for Face Detection Based on Sparse Group Lasso. CCBR 2013: 162-169 - [c23]Kaiye Wang, Ran He, Wei Wang, Liang Wang, Tieniu Tan:
Learning Coupled Feature Spaces for Cross-Modal Matching. ICCV 2013: 2088-2095 - [c22]Yingya Zhang, Zhenan Sun, Ran He, Tieniu Tan:
Robust Subspace Clustering via Half-Quadratic Minimization. ICCV 2013: 3096-3103 - 2012
- [j7]Nanhai Yang, Ran He, Wei-Shi Zheng, Xiukun Wang:
Robust large margin discriminant tangent analysis for face recognition. Neural Comput. Appl. 21(2): 269-279 (2012) - [j6]Wei-Shi Zheng, Jian-Huang Lai, Shengcai Liao, Ran He:
Extracting non-negative basis images using pixel dispersion penalty. Pattern Recognit. 45(8): 2912-2926 (2012) - [j5]Xiao-Tong Yuan, Bao-Gang Hu, Ran He:
Agglomerative Mean-Shift Clustering. IEEE Trans. Knowl. Data Eng. 24(2): 209-219 (2012) - [c21]Zhenhua Chai, Heydi Mendez Vazquez, Ran He, Zhenan Sun, Tieniu Tan:
Semantic Pixel Sets Based Local Binary Patterns for Face Recognition. ACCV (2) 2012: 639-651 - [c20]Yanqing Guo, Ran He, Wei-Shi Zheng, Xiangwei Kong:
Active Shape Model Based on Sparse Representation. CCBR 2012: 94-103 - [c19]Qiyue Yin, Rong Sun, Liang Wang, Ran He:
Structure Sparsity for Multi-camera Gait Recognition. CCPR 2012: 259-267 - [c18]Ran He, Tieniu Tan, Liang Wang, Wei-Shi Zheng:
l2, 1 Regularized correntropy for robust feature selection. CVPR 2012: 2504-2511 - [c17]Zhenhua Chai, Ran He, Zhenan Sun, Tieniu Tan, Heydi Méndez-Vázquez:
Histograms of Gabor Ordinal Measures for face representation and recognition. ICB 2012: 52-58 - 2011
- [j4]Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong:
A Regularized Correntropy Framework for Robust Pattern Recognition. Neural Comput. 23(8): 2074-2100 (2011) - [j3]Ran He, Wei-Shi Zheng, Bao-Gang Hu:
Maximum Correntropy Criterion for Robust Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(8): 1561-1576 (2011) - [j2]Ran He, Bao-Gang Hu, Wei-Shi Zheng, Xiangwei Kong:
Robust Principal Component Analysis Based on Maximum Correntropy Criterion. IEEE Trans. Image Process. 20(6): 1485-1494 (2011) - [c16]Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong:
Nonnegative sparse coding for discriminative semi-supervised learning. CVPR 2011: 2849-2856 - [c15]Ran He, Zhenan Sun, Tieniu Tan, Wei-Shi Zheng:
Recovery of corrupted low-rank matrices via half-quadratic based nonconvex minimization. CVPR 2011: 2889-2896 - [c14]Shuai Zheng, Junge Zhang, Kaiqi Huang, Ran He, Tieniu Tan:
Robust view transformation model for gait recognition. ICIP 2011: 2073-2076 - [i1]Bao-Gang Hu, Ran He, Xiaotong Yuan:
Information-Theoretic Measures for Objective Evaluation of Classifications. CoRR abs/1107.1837 (2011) - 2010
- [j1]Ran He, Bao-Gang Hu, Xiaotong Yuan, Wei-Shi Zheng:
Principal component analysis based on non-parametric maximum entropy. Neurocomputing 73(10-12): 1840-1852 (2010) - [c13]Ran He, Bao-Gang Hu, Wei-Shi Zheng, Yanqing Guo:
Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database. AAAI 2010: 475-480
2000 – 2009
- 2009
- [c12]Ran He, Bao-Gang Hu, Xiaotong Yuan:
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. ACML 2009: 120-134 - [c11]Xiaotong Yuan, Bao-Gang Hu, Ran He:
Agglomerative Mean-Shift Clustering via Query Set Compression. SDM 2009: 223-234 - 2008
- [c10]Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li:
Face shape recovery from a single image using CCA mapping between tensor spaces. CVPR 2008 - [c9]Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li:
Regularized active shape model for shape alignment. FG 2008: 1-6 - [c8]Zhen Lei, Shengcai Liao, Ran He, Matti Pietikäinen, Stan Z. Li:
Gabor volume based local binary pattern for face representation and recognition. FG 2008: 1-6 - 2007
- [c7]Rufeng Chu, Zhen Lei, Yufei Han, Ran He, Stan Z. Li:
Learning Gabor Magnitude Features for Palmprint Recognition. ACCV (2) 2007: 22-31 - [c6]Ran He, Stan Z. Li, Zhen Lei, Shengcai Liao:
Coarse-to-Fine Statistical Shape Model by Bayesian Inference. ACCV (1) 2007: 54-64 - [c5]Xiaotong Yuan, Stan Z. Li, Ran He:
Color Constancy Via Convex Kernel Optimization. ACCV (1) 2007: 728-737 - [c4]Shengcai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan, Ran He:
Structured Ordinal Features for Appearance-Based Object Representation. AMFG 2007: 183-192 - [c3]Zhen Lei, Rufeng Chu, Ran He, Shengcai Liao, Stan Z. Li:
Face Recognition by Discriminant Analysis with Gabor Tensor Representation. ICB 2007: 87-95 - 2006
- [c2]Stan Z. Li, Lun Zhang, Shengcai Liao, XiangXin Zhu, Rufeng Chu, Meng Ao, Ran He:
A Near-infrared Image Based Face Recognition System. FGR 2006: 455-460 - [c1]Stan Z. Li, Rufeng Chu, Meng Ao, Lun Zhang, Ran He:
Highly Accurate and Fast Face Recognition Using Near Infrared Images. ICB 2006: 151-158
Coauthor Index
aka: Peipei Li
aka: Wushouer Silamu
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last updated on 2024-11-21 21:21 CET by the dblp team
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