default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMing-Ming Cheng
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[e18]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]- [e17]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 II. Lecture Notes in Computer Science 15032, Springer 2025, ISBN 978-981-97-8489-9 [contents] - [e16]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] - [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 IV. Lecture Notes in Computer Science 15034, Springer 2025, ISBN 978-981-97-8504-9 [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 V. Lecture Notes in Computer Science 15035, Springer 2025, ISBN 978-981-97-8619-0 [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 VI. Lecture Notes in Computer Science 15036, Springer 2025, ISBN 978-981-97-8507-0 [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 VII. Lecture Notes in Computer Science 15037, Springer 2025, ISBN 978-981-97-8510-0 [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 VIII. Lecture Notes in Computer Science 15038, Springer 2025, ISBN 978-981-97-8684-8 [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 IX. Lecture Notes in Computer Science 15039, Springer 2025, ISBN 978-981-97-8691-6 [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 X. Lecture Notes in Computer Science 15040, Springer 2025, ISBN 978-981-97-8791-3 [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
- [j110]Gang Xu, Qibin Hou, Ming-Ming Cheng:
Dual Frequency Transformer for Efficient SDR-to-HDR Translation. Mach. Intell. Res. 21(3): 538-548 (2024) - [j109]Deng-Ping Fan, Nick Barnes, Ming-Ming Cheng, Luc Van Gool:
Editorial for Special Issue on Multi-modal Representation Learning. Mach. Intell. Res. 21(4): 615-616 (2024) - [j108]Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng:
Revisiting Computer-Aided Tuberculosis Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2316-2332 (2024) - [j107]Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng:
Contrastive Masked Autoencoders are Stronger Vision Learners. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2506-2517 (2024) - [j106]Qibin Hou, Cheng-Ze Lu, Ming-Ming Cheng, Jiashi Feng:
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8274-8283 (2024) - [j105]Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ping Wang, Ming-Ming Cheng:
Zone Evaluation: Revealing Spatial Bias in Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8636-8651 (2024) - [j104]Guangyu Guo, Dingwen Zhang, Longfei Han, Nian Liu, Ming-Ming Cheng, Junwei Han:
Pixel Distillation: Cost-Flexible Distillation Across Image Sizes and Heterogeneous Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9536-9550 (2024) - [j103]Bowen Yin, Xuying Zhang, Deng-Ping Fan, Shaohui Jiao, Ming-Ming Cheng, Luc Van Gool, Qibin Hou:
CamoFormer: Masked Separable Attention for Camouflaged Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10362-10374 (2024) - [j102]Huali Xu, Li Liu, Shuaifeng Zhi, Shaojing Fu, Zhuo Su, Ming-Ming Cheng, Yongxiang Liu:
Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning. IEEE Trans. Image Process. 33: 2058-2073 (2024) - [j101]Jiaxiong Qiu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren:
NeRC: Rendering Planar Caustics by Learning Implicit Neural Representations. IEEE Trans. Vis. Comput. Graph. 30(7): 4339-4348 (2024) - [j100]Jiaxiong Qiu, Yifan Zhu, Peng-Tao Jiang, Ming-Ming Cheng, Bo Ren:
RDNeRF: relative depth guided NeRF for dense free view synthesis. Vis. Comput. 40(3): 1485-1497 (2024) - [j99]Jiaxiong Qiu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren:
Rendering real-world unbounded scenes with cars by learning positional bias. Vis. Comput. 40(6): 4085-4098 (2024) - [c110]Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng:
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning. AAAI 2024: 6971-6978 - [c109]Boyuan Sun, Yuqi Yang, Le Zhang, Ming-Ming Cheng, Qibin Hou:
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. CVPR 2024: 3097-3107 - [c108]Zhen Li, Mingdeng Cao, Xintao Wang, Zhongang Qi, Ming-Ming Cheng, Ying Shan:
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding. CVPR 2024: 8640-8650 - [c107]Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou:
CrossKD: Cross-Head Knowledge Distillation for Object Detection. CVPR 2024: 16520-16530 - [c106]Xuying Zhang, Bowen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng:
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes. CVPR 2024: 19531-19540 - [c105]Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen:
Traffic Scene Parsing Through the TSP6K Dataset. CVPR 2024: 21874-21885 - [c104]Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning. CVPR 2024: 23954-23963 - [c103]Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng:
Generative Multi-modal Models are Good Class-Incremental Learners. CVPR 2024: 28706-28717 - [c102]Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou:
Towards Stable 3D Object Detection. ECCV (50) 2024: 197-213 - [c101]Bowen Yin, Xuying Zhang, Zhong-Yu Li, Li Liu, Ming-Ming Cheng, Qibin Hou:
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. ICLR 2024 - [c100]Yunheng Li, Zhongyu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng:
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. ICML 2024 - [c99]Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng:
Let's Start Over: Retraining with Selective Samples for Generalized Category Discovery. IJCAI 2024: 4815-4823 - [c98]Jiaxiong Qiu, Ruihong Cen, Zhong Li, Han Yan, Ming-Ming Cheng, Bo Ren:
NeuSmoke: Efficient Smoke Reconstruction and View Synthesis with Neural Transportation Fields. SIGGRAPH Asia 2024: 22:1-22:12 - [i156]Penghai Zhao, Xin Zhang, Ming-Ming Cheng, Jian Yang, Xiang Li:
A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence. CoRR abs/2402.12928 (2024) - [i155]Xuan-Yi Li, Daquan Zhou, Chenxu Zhang, Shaodong Wei, Qibin Hou, Ming-Ming Cheng:
Sora Generates Videos with Stunning Geometrical Consistency. CoRR abs/2402.17403 (2024) - [i154]Huali Xu, Li Liu, Shuaifeng Zhi, Shaojing Fu, Zhuo Su, Ming-Ming Cheng, Yongxiang Liu:
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning. CoRR abs/2403.01966 (2024) - [i153]Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang:
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection. CoRR abs/2403.06534 (2024) - [i152]Enguang Wang, Zhimao Peng, Zhengyuan Xie, Xialei Liu, Ming-Ming Cheng:
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery. CoRR abs/2403.09974 (2024) - [i151]Yuxuan Li, Xiang Li, Yimain Dai, Qibin Hou, Li Liu, Yongxiang Liu, Ming-Ming Cheng, Jian Yang:
LSKNet: A Foundation Lightweight Backbone for Remote Sensing. CoRR abs/2403.11735 (2024) - [i150]Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng:
Generative Multi-modal Models are Good Class-Incremental Learners. CoRR abs/2403.18383 (2024) - [i149]Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou:
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation. CoRR abs/2405.01434 (2024) - [i148]Yunheng Li, Zhongyu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng:
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. CoRR abs/2406.00670 (2024) - [i147]Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou:
Towards Stable 3D Object Detection. CoRR abs/2407.04305 (2024) - [i146]Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, Ying Tai, Jian Yang, Ming-Ming Cheng, Xiang Li:
From Words to Worth: Newborn Article Impact Prediction with LLM. CoRR abs/2408.03934 (2024) - [i145]Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou, Ming-Ming Cheng:
OPUS: Occupancy Prediction Using a Sparse Set. CoRR abs/2409.09350 (2024) - [i144]Yuhao Wan, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Ming-Ming Cheng, Bo Li:
ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer. CoRR abs/2410.14279 (2024) - [i143]Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie:
Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation. CoRR abs/2410.22489 (2024) - [i142]Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang:
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis. CoRR abs/2411.07132 (2024) - [i141]Huali Xu, Yongxiang Liu, Li Liu, Shuaifeng Zhi, Shuzhou Sun, Tianpeng Liu, Ming-Ming Cheng:
Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning. CoRR abs/2411.10070 (2024) - [i140]Zhong-Yu Li, Xin Jin, Boyuan Sun, Chun-Le Guo, Ming-Ming Cheng:
Towards RAW Object Detection in Diverse Conditions. CoRR abs/2411.15678 (2024) - [i139]Zhong-Yu Li, Yunheng Li, Deng-Ping Fan, Ming-Ming Cheng:
PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling. CoRR abs/2411.15746 (2024) - [i138]Zhong-Yu Li, Yusong Hu, Bowen Yin, Ming-Ming Cheng:
Multi-Token Enhancing for Vision Representation Learning. CoRR abs/2411.15787 (2024) - [i137]Yunheng Li, Yuxuan Li, Quansheng Zeng, Wenhai Wang, Qibin Hou, Ming-Ming Cheng:
DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction. CoRR abs/2412.06244 (2024) - [i136]Zheng Li, Yibing Song, Penghai Zhao, Ming-Ming Cheng, Xiang Li, Jian Yang:
ATPrompt: Textual Prompt Learning with Embedded Attributes. CoRR abs/2412.09442 (2024) - [i135]Quansheng Zeng, Yunheng Li, Daquan Zhou, Guanbin Li, Qibin Hou, Ming-Ming Cheng:
MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image Segmentation. CoRR abs/2412.11464 (2024) - [i134]Xuying Zhang, Yutong Liu, Yangguang Li, Renrui Zhang, Yufei Liu, Kai Wang, Wanli Ouyang, Zhiwei Xiong, Peng Gao, Qibin Hou, Ming-Ming Cheng:
TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction. CoRR abs/2412.16919 (2024) - [i133]Yuxuan Li, Xiang Li, Yunheng Li, Yicheng Zhang, Yimian Dai, Qibin Hou, Ming-Ming Cheng, Jian Yang:
SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection. CoRR abs/2412.20665 (2024) - 2023
- [j98]Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Bowen Zhou, Ming-Ming Cheng, Luc Van Gool:
SAM struggles in concealed scenes - empirical study on "Segment Anything". Sci. China Inf. Sci. 66(12) (2023) - [j97]Jie Mei, Yibo Zheng, Ming-Ming Cheng:
D2ANet: Difference-aware attention network for multi-level change detection from satellite imagery. Comput. Vis. Media 9(3): 563-579 (2023) - [j96]Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu:
Visual attention network. Comput. Vis. Media 9(4): 733-752 (2023) - [j95]Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr:
Deeply Explain CNN Via Hierarchical Decomposition. Int. J. Comput. Vis. 131(5): 1091-1105 (2023) - [j94]Jiang-Jiang Liu, Qibin Hou, Zhi-Ang Liu, Ming-Ming Cheng:
PoolNet+: Exploring the Potential of Pooling for Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 887-904 (2023) - [j93]Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1328-1334 (2023) - [j92]Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2344-2366 (2023) - [j91]Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang:
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2984-3002 (2023) - [j90]Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng:
Class-Specific Semantic Reconstruction for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4214-4228 (2023) - [j89]Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall:
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6647-6658 (2023) - [j88]Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr:
Large-Scale Unsupervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7457-7476 (2023) - [j87]Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng:
Co-Salient Object Detection With Co-Representation Purification. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8193-8205 (2023) - [j86]Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng:
Localization Distillation for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10070-10083 (2023) - [j85]Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng:
P2T: Pyramid Pooling Transformer for Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12760-12771 (2023) - [j84]Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng:
SERE: Exploring Feature Self-Relation for Self-Supervised Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15619-15631 (2023) - [j83]Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool:
Advances in deep concealed scene understanding. Vis. Intell. 1(1) (2023) - [c97]Jia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, Ming-Ming Cheng:
Endpoints Weight Fusion for Class Incremental Semantic Segmentation. CVPR 2023: 7204-7213 - [c96]Zhen Li, Zuo-Liang Zhu, Linghao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng:
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. CVPR 2023: 9801-9810 - [c95]Ze-Xin Yin, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren:
Multi-Space Neural Radiance Fields. CVPR 2023: 12407-12416 - [c94]Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren:
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections. CVPR 2023: 20823-20833 - [c93]Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou:
SRFormer: Permuted Self-Attention for Single Image Super-Resolution. ICCV 2023: 12734-12745 - [c92]Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li:
Large Selective Kernel Network for Remote Sensing Object Detection. ICCV 2023: 16748-16759 - [c91]Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Masked Autoencoders are Efficient Class Incremental Learners. ICCV 2023: 19047-19056 - [c90]Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Ming-Ming Cheng:
SLAN: Self-Locator Aided Network for Vision-Language Understanding. ICCV 2023: 21892-21901 - [c89]Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
Masked Diffusion Transformer is a Strong Image Synthesizer. ICCV 2023: 23107-23116 - [c88]Shanghua Gao, Zhijie Lin, Xingyu Xie, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation. ACM Multimedia 2023: 9414-9416 - [i132]Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ming-Ming Cheng:
Towards Spatial Equilibrium Object Detection. CoRR abs/2301.05957 (2023) - [i131]Chengze Lu, Xiaojie Jin, Zhicheng Huang, Qibin Hou, Ming-Ming Cheng, Jiashi Feng:
CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition. CoRR abs/2301.06018 (2023) - [i130]Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen:
Traffic Scene Parsing through the TSP6K Dataset. CoRR abs/2303.02835 (2023) - [i129]Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng:
Co-Salient Object Detection with Co-Representation Purification. CoRR abs/2303.07670 (2023) - [i128]Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li:
Large Selective Kernel Network for Remote Sensing Object Detection. CoRR abs/2303.09030 (2023) - [i127]Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou:
SRFormer: Permuted Self-Attention for Single Image Super-Resolution. CoRR abs/2303.09735 (2023) - [i126]Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
Masked Diffusion Transformer is a Strong Image Synthesizer. CoRR abs/2303.14389 (2023) - [i125]Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Ming-Ming Cheng, Bowen Zhou, Luc Van Gool:
SAM Struggles in Concealed Scenes - Empirical Study on "Segment Anything". CoRR abs/2304.06022 (2023) - [i124]Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren:
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections. CoRR abs/2304.08706 (2023) - [i123]Zhen Li, Zuo-Liang Zhu, Linghao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng:
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. CoRR abs/2304.09790 (2023) - [i122]Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool:
Advances in Deep Concealed Scene Understanding. CoRR abs/2304.11234 (2023) - [i121]Ze-Xin Yin, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren:
Multi-Space Neural Radiance Fields. CoRR abs/2305.04268 (2023) - [i120]Cheng-Ze Lu, Xiaojie Jin, Qibin Hou, Jun Hao Liew, Ming-Ming Cheng, Jiashi Feng:
Delving Deeper into Data Scaling in Masked Image Modeling. CoRR abs/2305.15248 (2023) - [i119]Boyuan Sun, Yuqi Yang, Weifeng Yuan, Le Zhang, Ming-Ming Cheng, Qibin Hou:
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. CoRR abs/2306.04300 (2023) - [i118]Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng:
Referring Camouflaged Object Detection. CoRR abs/2306.07532 (2023) - [i117]Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou:
CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection. CoRR abs/2306.11369 (2023) - [i116]Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng:
Revisiting Computer-Aided Tuberculosis Diagnosis. CoRR abs/2307.02848 (2023) - [i115]Yuming Chen, Xinbin Yuan, Ruiqi Wu, Jiabao Wang, Qibin Hou, Ming-Ming Cheng:
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection. CoRR abs/2308.05480 (2023) - [i114]Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Masked Autoencoders are Efficient Class Incremental Learners. CoRR abs/2308.12510 (2023) - [i113]Bowen Yin, Xuying Zhang, Zhongyu Li, Li Liu, Ming-Ming Cheng, Qibin Hou:
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. CoRR abs/2309.09668 (2023) - [i112]Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen:
Low-Resolution Self-Attention for Semantic Segmentation. CoRR abs/2310.05026 (2023) - [i111]Zhong-Yu Li, Bowen Yin, Shanghua Gao, Yongxiang Liu, Li Liu, Ming-Ming Cheng:
Enhancing Representations through Heterogeneous Self-Supervised Learning. CoRR abs/2310.05108 (2023) - [i110]Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ping Wang, Ming-Ming Cheng:
Zone Evaluation: Revealing Spatial Bias in Object Detection. CoRR abs/2310.13215 (2023) - [i109]Xialei Liu, Xusheng Cao, Haori Lu, Jia-Wen Xiao, Andrew D. Bagdanov, Ming-Ming Cheng:
Class Incremental Learning with Pre-trained Vision-Language Models. CoRR abs/2310.20348 (2023) - [i108]Xuying Zhang, Bowen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng:
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes. CoRR abs/2312.04248 (2023) - [i107]Zhen Li, Mingdeng Cao, Xintao Wang, Zhongang Qi, Ming-Ming Cheng, Ying Shan:
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding. CoRR abs/2312.04461 (2023) - [i106]Yunheng Li, Zhongyu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng:
A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation. CoRR abs/2312.05830 (2023) - [i105]Senmao Li, Taihang Hu, Fahad Shahbaz Khan, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang:
Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models. CoRR abs/2312.09608 (2023) - [i104]Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng:
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning. CoRR abs/2312.12722 (2023) - 2022
- [j82]Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu:
Attention mechanisms in computer vision: A survey. Comput. Vis. Media 8(3): 331-368 (2022) - [j81]Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, Dacheng Tao:
Semantic Edge Detection with Diverse Deep Supervision. Int. J. Comput. Vis. 130(1): 179-198 (2022) - [j80]Wenguan Wang, Ming-Ming Cheng, Haibin Ling, Fatih Porikli:
Editorial: Human visual saliency and artificial neural attention in deep learning. Neurocomputing 491: 489-491 (2022) - [j79]Yun Liu, Yu-Huan Wu, Peisong Wen, Yujun Shi, Yu Qiu, Ming-Ming Cheng:
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1415-1428 (2022) - [j78]Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen:
Re-Thinking Co-Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4339-4354 (2022) - [j77]Jie Mei, Ming-Ming Cheng, Gang Xu, Lan-Ruo Wan, Huan Zhang:
SANet: A Slice-Aware Network for Pulmonary Nodule Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4374-4387 (2022) - [j76]Kai Zhao, Qi Han, Chang-Bin Zhang, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4793-4806 (2022) - [j75]Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao:
Concealed Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6024-6042 (2022) - [j74]Peng-Tao Jiang, Linghao Han, Qibin Hou, Ming-Ming Cheng, Yunchao Wei:
Online Attention Accumulation for Weakly Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7062-7077 (2022) - [j73]Ming-Ming Cheng, Shang-Hua Gao, Ali Borji, Yong-Qiang Tan, Zheng Lin, Meng Wang:
A Highly Efficient Model to Study the Semantics of Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8006-8021 (2022) - [j72]Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy:
Low-Light Image and Video Enhancement Using Deep Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9396-9416 (2022) - [j71]Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng:
MobileSal: Extremely Efficient RGB-D Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10261-10269 (2022) - [j70]Yun Liu, Ming-Ming Cheng, Xinyu Zhang, Guang-Yu Nie, Meng Wang:
DNA: Deeply Supervised Nonlinear Aggregation for Salient Object Detection. IEEE Trans. Cybern. 52(7): 6131-6142 (2022) - [j69]Le Hui, Mingmei Cheng, Jin Xie, Jian Yang, Ming-Ming Cheng:
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition. IEEE Trans. Image Process. 31: 1258-1270 (2022) - [j68]Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng, Bo Ren:
EDN: Salient Object Detection via Extremely-Downsampled Network. IEEE Trans. Image Process. 31: 3125-3136 (2022) - [j67]Zuo-Liang Zhu, Zhen Li, Ruixun Zhang, Chunle Guo, Ming-Ming Cheng:
Designing an Illumination-Aware Network for Deep Image Relighting. IEEE Trans. Image Process. 31: 5396-5411 (2022) - [c87]Shijie Li, Ming-Ming Cheng, Jürgen Gall:
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis. BMVC 2022: 285 - [c86]Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chun-Le Guo, Ming-Ming Cheng:
FocusCut: Diving into a Focus View in Interactive Segmentation. CVPR 2022: 2627-2636 - [c85]Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng:
Representation Compensation Networks for Continual Semantic Segmentation. CVPR 2022: 7043-7054 - [c84]Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Ming-Ming Cheng:
Localization Distillation for Dense Object Detection. CVPR 2022: 9397-9406 - [c83]Zhen Li, Chengze Lu, Jianhua Qin, Chun-Le Guo, Ming-Ming Cheng:
Towards An End-to-End Framework for Flow-Guided Video Inpainting. CVPR 2022: 17541-17550 - [c82]Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu:
Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks. ECCV (19) 2022: 74-91 - [c81]Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng:
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder. ECCV (18) 2022: 126-143 - [c80]Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Long-Tailed Class Incremental Learning. ECCV (33) 2022: 495-512 - [c79]Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang:
On the Connection between Local Attention and Dynamic Depth-wise Convolution. ICLR 2022 - [c78]Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chun-Le Guo, Ming-Ming Cheng:
KnifeCut: Refining Thin Part Segmentation with Cutting Lines. ACM Multimedia 2022: 809-817 - [c77]Gang Xu, Qibin Hou, Le Zhang, Ming-Ming Cheng:
FMNet: Frequency-Aware Modulation Network for SDR-to-HDR Translation. ACM Multimedia 2022: 6425-6435 - [c76]Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, Shi-Min Hu:
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. NeurIPS 2022 - [i103]Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr:
Deeply Explain CNN via Hierarchical Decomposition. CoRR abs/2201.09205 (2022) - [i102]Meng-Hao Guo, Chengze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shimin Hu:
Visual Attention Network. CoRR abs/2202.09741 (2022) - [i101]Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng:
Representation Compensation Networks for Continual Semantic Segmentation. CoRR abs/2203.05402 (2022) - [i100]Zheng Lin, Zhao Zhang, Kangrui Zhang, Bo Ren, Ming-Ming Cheng:
Interactive Style Transfer: All is Your Palette. CoRR abs/2203.13470 (2022) - [i99]Zhen Li, Chengze Lu, Jianhua Qin, Chunle Guo, Ming-Ming Cheng:
Towards An End-to-End Framework for Flow-Guided Video Inpainting. CoRR abs/2204.02663 (2022) - [i98]Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng:
Localization Distillation for Object Detection. CoRR abs/2204.05957 (2022) - [i97]Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng:
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder. CoRR abs/2205.06803 (2022) - [i96]Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng:
Exploring Feature Self-relation for Self-supervised Transformer. CoRR abs/2206.05184 (2022) - [i95]Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang:
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. CoRR abs/2206.06637 (2022) - [i94]Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng:
Class-Specific Semantic Reconstruction for Open Set Recognition. CoRR abs/2207.02158 (2022) - [i93]Gang Xu, Yuchen Yang, Jun Xu, Liang Wang, Xiantong Zhen, Ming-Ming Cheng:
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark. CoRR abs/2207.03367 (2022) - [i92]Zuo-Liang Zhu, Zhen Li, Ruixun Zhang, Chunle Guo, Ming-Ming Cheng:
Designing An Illumination-Aware Network for Deep Image Relighting. CoRR abs/2207.10582 (2022) - [i91]Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng:
Contrastive Masked Autoencoders are Stronger Vision Learners. CoRR abs/2207.13532 (2022) - [i90]Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng:
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes. CoRR abs/2208.08621 (2022) - [i89]Meng-Hao Guo, Chengze Lu, Qibin Hou, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu:
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. CoRR abs/2209.08575 (2022) - [i88]Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Long-Tailed Class Incremental Learning. CoRR abs/2210.00266 (2022) - [i87]Shijie Li, Ming-Ming Cheng, Juergen Gall:
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis. CoRR abs/2210.04085 (2022) - [i86]Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
Towards Sustainable Self-supervised Learning. CoRR abs/2210.11016 (2022) - [i85]Qibin Hou, Chengze Lu, Ming-Ming Cheng, Jiashi Feng:
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition. CoRR abs/2211.11943 (2022) - [i84]Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Bo Ren, Ming-Ming Cheng:
SLAN: Self-Locator Aided Network for Cross-Modal Understanding. CoRR abs/2211.16208 (2022) - [i83]Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Robust Saliency Guidance for Data-free Class Incremental Learning. CoRR abs/2212.08251 (2022) - 2021
- [j66]Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D salient object detection: A survey. Comput. Vis. Media 7(1): 37-69 (2021) - [j65]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian Reid:
Unsupervised Scale-Consistent Depth Learning from Video. Int. J. Comput. Vis. 129(9): 2548-2564 (2021) - [j64]Ming-Ming Cheng, Deng-Ping Fan:
Structure-Measure: A New Way to Evaluate Foreground Maps. Int. J. Comput. Vis. 129(9): 2622-2638 (2021) - [j63]Wenguan Wang, Jianbing Shen, Jianwen Xie, Ming-Ming Cheng, Haibin Ling, Ali Borji:
Revisiting Video Saliency Prediction in the Deep Learning Era. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 220-237 (2021) - [j62]Shanghua Gao, Ming-Ming Cheng, Kai Zhao, Xinyu Zhang, Ming-Hsuan Yang, Philip H. S. Torr:
Res2Net: A New Multi-Scale Backbone Architecture. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 652-662 (2021) - [j61]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Nonlinear Regression via Deep Negative Correlation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 982-998 (2021) - [j60]Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen:
Ordered or Orderless: A Revisit for Video Based Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1460-1466 (2021) - [j59]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Correction to "Nonlinear Regression via Deep Negative Correlation Learning". IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2172 (2021) - [j58]Yun Liu, Yuchao Gu, Xinyu Zhang, Weiwei Wang, Ming-Ming Cheng:
Lightweight Salient Object Detection via Hierarchical Visual Perception Learning. IEEE Trans. Cybern. 51(9): 4439-4449 (2021) - [j57]Shao-Ping Lu, Senmao Li, Rong Wang, Gauthier Lafruit, Ming-Ming Cheng, Adrian Munteanu:
Low-Rank Constrained Super-Resolution for Mixed-Resolution Multiview Video. IEEE Trans. Image Process. 30: 1072-1085 (2021) - [j56]Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong:
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Image Process. 30: 1305-1317 (2021) - [j55]Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng:
Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation. IEEE Trans. Image Process. 30: 2313-2324 (2021) - [j54]Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rongguo Zhang, Ming-Ming Cheng:
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. IEEE Trans. Image Process. 30: 3113-3126 (2021) - [j53]Wenda Jin, Jun Xu, Qi Han, Yi Zhang, Ming-Ming Cheng:
CDNet: Complementary Depth Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30: 3376-3390 (2021) - [j52]Yun Liu, Xin-Yu Zhang, Jia-Wang Bian, Le Zhang, Ming-Ming Cheng:
SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection. IEEE Trans. Image Process. 30: 3804-3814 (2021) - [j51]Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng:
Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation. IEEE Trans. Image Process. 30: 3897-3907 (2021) - [j50]Jinghua Wang, Ming-Ming Cheng, Jianmin Jiang:
Domain Shift Preservation for Zero-Shot Domain Adaptation. IEEE Trans. Image Process. 30: 5505-5517 (2021) - [j49]Peng-Tao Jiang, Chang-Bin Zhang, Qibin Hou, Ming-Ming Cheng, Yunchao Wei:
LayerCAM: Exploring Hierarchical Class Activation Maps for Localization. IEEE Trans. Image Process. 30: 5875-5888 (2021) - [j48]Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng:
Delving Deep Into Label Smoothing. IEEE Trans. Image Process. 30: 5984-5996 (2021) - [j47]Jie Mei, Roujing Li, Wang Gao, Ming-Ming Cheng:
CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery. IEEE Trans. Image Process. 30: 8540-8552 (2021) - [j46]Jiang-Jiang Liu, Zhi-Ang Liu, Pai Peng, Ming-Ming Cheng:
Rethinking the U-Shape Structure for Salient Object Detection. IEEE Trans. Image Process. 30: 9030-9042 (2021) - [j45]Xingxu Yao, Dongyu She, Haiwei Zhang, Jufeng Yang, Ming-Ming Cheng, Liang Wang:
Adaptive Deep Metric Learning for Affective Image Retrieval and Classification. IEEE Trans. Multim. 23: 1640-1653 (2021) - [j44]Jun Xu, Zhi-Ang Liu, Yingkun Hou, Xiantong Zhen, Ling Shao, Ming-Ming Cheng:
Pixel-Level Non-local Image Smoothing With Objective Evaluation. IEEE Trans. Multim. 23: 4065-4078 (2021) - [j43]Deng-Ping Fan, Zheng Lin, Zhao Zhang, Menglong Zhu, Ming-Ming Cheng:
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2075-2089 (2021) - [c75]Taihong Xiao, Xinyu Zhang, Hao-Lin Jia, Ming-Ming Cheng, Ming-Hsuan Yang:
Semi-Supervised Learning with Meta-Gradient. AISTATS 2021: 73-81 - [c74]Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng:
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. CVPR 2021: 6388-6397 - [c73]Shang-Hua Gao, Qi Han, Duo Li, Ming-Ming Cheng, Pai Peng:
Representative Batch Normalization With Feature Calibration. CVPR 2021: 8669-8679 - [c72]Yuchao Gu, Lijuan Wang, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng:
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. CVPR 2021: 12311-12320 - [c71]Shang-Hua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. CVPR 2021: 16805-16814 - [c70]Yuchao Gu, Shang-Hua Gao, Xu-Sheng Cao, Peng Du, Shao-Ping Lu, Ming-Ming Cheng:
iNAS: Integral NAS for Device-Aware Salient Object Detection. ICCV 2021: 4914-4924 - [c69]Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming Cheng, Feng Mao:
Personalized Image Semantic Segmentation. ICCV 2021: 10529-10539 - [c68]Xinyu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang:
Structured sparsification with joint optimization of group convolution and channel shuffle. UAI 2021: 440-450 - [i82]Shanghua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. CoRR abs/2101.00910 (2021) - [i81]Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao:
Concealed Object Detection. CoRR abs/2102.10274 (2021) - [i80]Qianyu Feng, Yunchao Wei, Ming-Ming Cheng, Yi Yang:
Decoupled Spatial Temporal Graphs for Generic Visual Grounding. CoRR abs/2103.10191 (2021) - [i79]Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng:
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. CoRR abs/2104.10642 (2021) - [i78]Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy:
Lighting the Darkness in the Deep Learning Era. CoRR abs/2104.10729 (2021) - [i77]Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. CoRR abs/2105.03053 (2021) - [i76]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth Learning from Video. CoRR abs/2105.11610 (2021) - [i75]Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr:
Large-scale Unsupervised Semantic Segmentation. CoRR abs/2106.03149 (2021) - [i74]Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang:
Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight. CoRR abs/2106.04263 (2021) - [i73]Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng:
P2T: Pyramid Pooling Transformer for Scene Understanding. CoRR abs/2106.12011 (2021) - [i72]Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. CoRR abs/2106.12368 (2021) - [i71]Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Feng Mao, Ming-Ming Cheng:
Personalized Image Semantic Segmentation. CoRR abs/2107.13978 (2021) - [i70]Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu:
Attention Mechanisms in Computer Vision: A Survey. CoRR abs/2111.07624 (2021) - 2020
- [j42]Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu:
S4Net: Single stage salient-instance segmentation. Comput. Vis. Media 6(2): 191-204 (2020) - [j41]Jia-Wang Bian, Wen-Yan Lin, Yun Liu, Le Zhang, Sai-Kit Yeung, Ming-Ming Cheng, Ian Reid:
GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. Int. J. Comput. Vis. 128(6): 1580-1593 (2020) - [j40]Yun Liu, Shijie Li, Ming-Ming Cheng:
Refinedbox: Refining for fewer and high-quality object proposals. Neurocomputing 406: 106-116 (2020) - [j39]Ming-Ming Cheng, Xiao-Chang Liu, Jie Wang, Shao-Ping Lu, Yu-Kun Lai, Paul L. Rosin:
Structure-Preserving Neural Style Transfer. IEEE Trans. Image Process. 29: 909-920 (2020) - [j38]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29: 6288-6301 (2020) - [j37]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng:
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge, and Skeleton. IEEE Trans. Image Process. 29: 8652-8667 (2020) - [j36]Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao:
Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image. IEEE Trans. Image Process. 29: 9316-9329 (2020) - [j35]Dongyu She, Jufeng Yang, Ming-Ming Cheng, Yu-Kun Lai, Paul L. Rosin, Liang Wang:
WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection. IEEE Trans. Multim. 22(5): 1358-1371 (2020) - [j34]Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Self-Paced Balance Learning for Clinical Skin Disease Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2832-2846 (2020) - [c67]Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, Shao-Ping Lu:
Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection. AAAI 2020: 10869-10876 - [c66]Jinshan Pan, Yang Liu, Deqing Sun, Jimmy S. J. Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang:
Image Formation Model Guided Deep Image Super-Resolution. AAAI 2020: 11807-11814 - [c65]Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng:
Rethinking Computer-Aided Tuberculosis Diagnosis. CVPR 2020: 2643-2652 - [c64]Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
Camouflaged Object Detection. CVPR 2020: 2774-2784 - [c63]Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng:
Taking a Deeper Look at Co-Salient Object Detection. CVPR 2020: 2916-2926 - [c62]Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. CVPR 2020: 4002-4011 - [c61]Yong-Qiang Tan, Shanghua Gao, Xuan-Yi Li, Ming-Ming Cheng, Bo Ren:
VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction. CVPR 2020: 8907-8915 - [c60]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng:
Improving Convolutional Networks With Self-Calibrated Convolutions. CVPR 2020: 10093-10102 - [c59]Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu:
Interactive Image Segmentation With First Click Attention. CVPR 2020: 13336-13345 - [c58]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. ECCV (9) 2020: 249-265 - [c57]Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng:
Gradient-Induced Co-Saliency Detection. ECCV (12) 2020: 455-472 - [c56]Shanghua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan:
Highly Efficient Salient Object Detection with 100K Parameters. ECCV (6) 2020: 702-721 - [c55]Wenda Jin, Jun Xu, Ming-Ming Cheng, Yi Zhang, Wei Guo:
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection. NeurIPS 2020 - [i69]Xinyu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang:
Model-Agnostic Structured Sparsification with Learnable Channel Shuffle. CoRR abs/2002.08127 (2020) - [i68]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. CoRR abs/2003.04676 (2020) - [i67]Shanghua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan:
Highly Efficient Salient Object Detection with 100K Parameters. CoRR abs/2003.05643 (2020) - [i66]Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. CoRR abs/2003.13328 (2020) - [i65]Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng:
Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation. CoRR abs/2004.04534 (2020) - [i64]Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng:
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. CoRR abs/2004.07054 (2020) - [i63]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng:
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton. CoRR abs/2004.08595 (2020) - [i62]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. CoRR abs/2004.11373 (2020) - [i61]Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng:
Gradient-Induced Co-Saliency Detection. CoRR abs/2004.13364 (2020) - [i60]Kai Zhao, Xinyu Zhang, Qi Han, Ming-Ming Cheng:
Dependency Aware Filter Pruning. CoRR abs/2005.02634 (2020) - [i59]Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall:
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. CoRR abs/2006.09220 (2020) - [i58]Shipeng Fu, Zhen Li, Jun Xu, Ming-Ming Cheng, Gwanggil Jeon, Xiaomin Yang:
Interactive Knowledge Distillation. CoRR abs/2007.01476 (2020) - [i57]Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen:
Re-thinking Co-Salient Object Detection. CoRR abs/2007.03380 (2020) - [i56]Xinyu Zhang, Hao-Lin Jia, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang:
Semi-Supervised Learning with Meta-Gradient. CoRR abs/2007.03966 (2020) - [i55]Xiao-Chang Liu, Xuan-Yi Li, Ming-Ming Cheng, Peter Hall:
Geometric Style Transfer. CoRR abs/2007.05471 (2020) - [i54]Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D Salient Object Detection: A Survey. CoRR abs/2008.00230 (2020) - [i53]Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng:
Regularized Densely-connected Pyramid Network for Salient Instance Segmentation. CoRR abs/2008.12416 (2020) - [i52]Yuchao Gu, Le Zhang, Yun Liu, Shao-Ping Lu, Ming-Ming Cheng:
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow. CoRR abs/2009.00303 (2020) - [i51]Yuchao Gu, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng:
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. CoRR abs/2010.00969 (2020) - [i50]Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He:
LID 2020: The Learning from Imperfect Data Challenge Results. CoRR abs/2010.11724 (2020) - [i49]Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng:
Delving Deep into Label Smoothing. CoRR abs/2011.12562 (2020) - [i48]Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong:
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images. CoRR abs/2011.13144 (2020) - [i47]Jiang-Jiang Liu, Zhi-Ang Liu, Ming-Ming Cheng:
Centralized Information Interaction for Salient Object Detection. CoRR abs/2012.11294 (2020) - [i46]Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng:
EDN: Salient Object Detection via Extremely-Downsampled Network. CoRR abs/2012.13093 (2020) - [i45]Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng:
MobileSal: Extremely Efficient RGB-D Salient Object Detection. CoRR abs/2012.13095 (2020)
2010 – 2019
- 2019
- [j33]Ming-Ming Cheng, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, Philip H. S. Torr:
BING: Binarized normed gradients for objectness estimation at 300fps. Comput. Vis. Media 5(1): 3-20 (2019) - [j32]Ali Borji, Ming-Ming Cheng, Qibin Hou, Huaizu Jiang, Jia Li:
Salient object detection: A survey. Comput. Vis. Media 5(2): 117-150 (2019) - [j31]Huaizu Jiang, Ming-Ming Cheng, Shi-Jie Li, Ali Borji, Jingdong Wang:
Joint salient object detection and existence prediction. Frontiers Comput. Sci. 13(4): 778-788 (2019) - [j30]Bo Ren, Jia-Cheng Wu, Ya-Lei Lv, Ming-Ming Cheng, Shao-Ping Lu:
Geometry-Aware ICP for Scene Reconstruction from RGB-D Camera. J. Comput. Sci. Technol. 34(3): 581-593 (2019) - [j29]Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply Supervised Salient Object Detection with Short Connections. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 815-828 (2019) - [j28]Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, Jinhui Tang:
Richer Convolutional Features for Edge Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1939-1946 (2019) - [j27]Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, Qingming Huang:
Review of Visual Saliency Detection With Comprehensive Information. IEEE Trans. Circuits Syst. Video Technol. 29(10): 2941-2959 (2019) - [j26]Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Simultaneous Subspace Clustering and Cluster Number Estimating Based on Triplet Relationship. IEEE Trans. Image Process. 28(8): 3973-3985 (2019) - [c54]Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid:
An Evaluation of Feature Matchers for Fundamental Matrix Estimation. BMVC 2019: 25 - [c53]Kai Zhao, Jingyi Xu, Ming-Ming Cheng:
RegularFace: Deep Face Recognition via Exclusive Regularization. CVPR 2019: 1136-1144 - [c52]Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang, Deng-Ping Fan, Yue Liu, Yongtian Wang:
Multi-Level Context Ultra-Aggregation for Stereo Matching. CVPR 2019: 3283-3291 - [c51]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang:
A Simple Pooling-Based Design for Real-Time Salient Object Detection. CVPR 2019: 3917-3926 - [c50]Jiaxing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li, Le Zhang:
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection. CVPR 2019: 3927-3936 - [c49]Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao:
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection. CVPR 2019: 5968-5977 - [c48]Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu:
S4Net: Single Stage Salient-Instance Segmentation. CVPR 2019: 6103-6112 - [c47]Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen:
Shifting More Attention to Video Salient Object Detection. CVPR 2019: 8554-8564 - [c46]Xiaoping Wu, Chi Zhan, Yu-Kun Lai, Ming-Ming Cheng, Jufeng Yang:
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition. CVPR 2019: 8787-8796 - [c45]Chi Zhan, Dongyu She, Sicheng Zhao, Ming-Ming Cheng, Jufeng Yang:
Zero-Shot Emotion Recognition via Affective Structural Embedding. ICCV 2019: 1151-1160 - [c44]Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hongkai Xiong:
Integral Object Mining via Online Attention Accumulation. ICCV 2019: 2070-2079 - [c43]Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji:
Scoot: A Perceptual Metric for Facial Sketches. ICCV 2019: 5611-5621 - [c42]Jiaxing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng:
EGNet: Edge Guidance Network for Salient Object Detection. ICCV 2019: 8778-8787 - [c41]Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-Ming Cheng:
Optimizing the F-Measure for Threshold-Free Salient Object Detection. ICCV 2019: 8848-8856 - [c40]Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding:
Image Inpainting With Learnable Bidirectional Attention Maps. ICCV 2019: 8857-8866 - [c39]Xiaoping Wu, Ni Wen, Jie Liang, Yu-Kun Lai, Dongyu She, Ming-Ming Cheng, Jufeng Yang:
Joint Acne Image Grading and Counting via Label Distribution Learning. ICCV 2019: 10641-10650 - [c38]Jiawang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. NeurIPS 2019: 35-45 - [i44]Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship. CoRR abs/1901.07689 (2019) - [i43]Yun Liu, Deng-Ping Fan, Guang-Yu Nie, Xinyu Zhang, Vahan Petrosyan, Ming-Ming Cheng:
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection. CoRR abs/1903.12476 (2019) - [i42]Shanghua Gao, Ming-Ming Cheng, Kai Zhao, Xinyu Zhang, Ming-Hsuan Yang, Philip H. S. Torr:
Res2Net: A New Multi-scale Backbone Architecture. CoRR abs/1904.01169 (2019) - [i41]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang:
A Simple Pooling-Based Design for Real-Time Salient Object Detection. CoRR abs/1904.09569 (2019) - [i40]Lin-Zhuo Chen, Xuan-Yi Li, Deng-Ping Fan, Ming-Ming Cheng, Kai Wang, Shao-Ping Lu:
LSANet: Feature Learning on Point Sets by Local Spatial Attention. CoRR abs/1905.05442 (2019) - [i39]Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng:
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. CoRR abs/1906.02494 (2019) - [i38]Deng-Ping Fan, Zheng Lin, Jiaxing Zhao, Yun Liu, Zhao Zhang, Qibin Hou, Menglong Zhu, Ming-Ming Cheng:
Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks. CoRR abs/1907.06781 (2019) - [i37]Jiaxing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng:
EGNet: Edge Guidance Network for Salient Object Detection. CoRR abs/1908.08297 (2019) - [i36]Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji:
Scoot: A Perceptual Metric for Facial Sketches. CoRR abs/1908.08433 (2019) - [i35]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Robust Regression via Deep Negative Correlation Learning. CoRR abs/1908.09066 (2019) - [i34]Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid:
An Evaluation of Feature Matchers forFundamental Matrix Estimation. CoRR abs/1908.09474 (2019) - [i33]Jia-Wang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. CoRR abs/1908.10553 (2019) - [i32]Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding:
Image Inpainting with Learnable Bidirectional Attention Maps. CoRR abs/1909.00968 (2019) - [i31]Xin-Yu Zhang, Le Zhang, Zao-Yi Zheng, Yun Liu, Jia-Wang Bian, Ming-Ming Cheng:
AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning. CoRR abs/1911.12110 (2019) - [i30]Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen:
Ordered or Orderless: A Revisit for Video based Person Re-Identification. CoRR abs/1912.11236 (2019) - 2018
- [j25]Jiaxing Zhao, Ren Bo, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin:
FLIC: Fast linear iterative clustering with active search. Comput. Vis. Media 4(4): 333-348 (2018) - [j24]Wen-Yan Lin, Fan Wang, Ming-Ming Cheng, Sai-Kit Yeung, Philip H. S. Torr, Minh N. Do, Jiangbo Lu:
CODE: Coherence Based Decision Boundaries for Feature Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 34-47 (2018) - [j23]Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr:
Sequential Optimization for Efficient High-Quality Object Proposal Generation. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1209-1223 (2018) - [j22]Jufeng Yang, Xiaoxiao Sun, Yu-Kun Lai, Liang Zheng, Ming-Ming Cheng:
Recognition From Web Data: A Progressive Filtering Approach. IEEE Trans. Image Process. 27(11): 5303-5315 (2018) - [j21]Jufeng Yang, Dongyu She, Ming Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions. IEEE Trans. Multim. 20(9): 2513-2525 (2018) - [c37]Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng:
Automatic Model Selection in Subspace Clustering via Triplet Relationships. AAAI 2018: 4358-4365 - [c36]Jufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng:
Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues. AAAI 2018: 7469-7476 - [c35]Jiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin:
FLIC: Fast Linear Iterative Clustering With Active Search. AAAI 2018: 7574-7581 - [c34]Yahui Wang, Shaojun Cai, Shi-Jie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng:
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System. ACCV (6) 2018: 34-49 - [c33]Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji:
Revisiting Video Saliency: A Large-Scale Benchmark and a New Model. CVPR 2018: 4894-4903 - [c32]Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng:
Crowd Counting With Deep Negative Correlation Learning. CVPR 2018: 5382-5390 - [c31]Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu, Shanghua Gao, Qibin Hou, Ali Borji:
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground. ECCV (15) 2018: 196-212 - [c30]Ruochen Fan, Qibin Hou, Ming-Ming Cheng, Gang Yu, Ralph R. Martin, Shi-Min Hu:
Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation. ECCV (9) 2018: 371-388 - [c29]Shi-Jie Li, Bo Ren, Yun Liu, Ming-Ming Cheng, Duncan P. Frost, Victor Adrian Prisacariu:
Direct Line Guidance Odometry. ICRA 2018: 1-7 - [c28]Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji:
Enhanced-alignment Measure for Binary Foreground Map Evaluation. IJCAI 2018: 698-704 - [c27]Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng:
DEL: Deep Embedding Learning for Efficient Image Segmentation. IJCAI 2018: 864-870 - [c26]Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng:
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection. IJCAI 2018: 1191-1197 - [c25]Shi-Jie Li, Ming-Ming Cheng, Yun Liu, Shao-Ping Lu, Yahui Wang, Victor Adrian Prisacariu:
Structured Skip List: A Compact Data Structure for 3D Reconstruction. IROS 2018: 1-7 - [c24]Jufeng Yang, Liyi Chen, Le Zhang, Xiaoxiao Sun, Dongyu She, Shao-Ping Lu, Ming-Ming Cheng:
Historical Context-based Style Classification of Painting Images via Label Distribution Learning. ACM Multimedia 2018: 1154-1162 - [c23]Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng:
Self-Erasing Network for Integral Object Attention. NeurIPS 2018: 547-557 - [c22]Zhiming Chen, Xintong Han, Weiyao Lin, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong:
Pedestrian Detection with a Directly-Cascaded Deconvolution-Convolution Structure. PCM (1) 2018: 370-380 - [c21]Yutong Cai, Weiyao Lin, John See, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong:
Multi-scale Spatiotemporal Information Fusion Network for Video Action Recognition. VCIP 2018: 1-4 - [i29]Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng:
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection. CoRR abs/1801.01849 (2018) - [i28]Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji:
Revisiting Video Saliency: A Large-scale Benchmark and a New Model. CoRR abs/1801.07424 (2018) - [i27]Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, Qingming Huang:
Review of Visual Saliency Detection with Comprehensive Information. CoRR abs/1803.03391 (2018) - [i26]Deng-Ping Fan, Jiang-Jiang Liu, Shanghua Gao, Qibin Hou, Ali Borji, Ming-Ming Cheng:
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground. CoRR abs/1803.06091 (2018) - [i25]Qibin Hou, Ming-Ming Cheng, Jiang-Jiang Liu, Philip H. S. Torr:
WebSeg: Learning Semantic Segmentation from Web Searches. CoRR abs/1803.09859 (2018) - [i24]Qibin Hou, Jiang-Jiang Liu, Ming-Ming Cheng, Ali Borji, Philip H. S. Torr:
Three Birds One Stone: A Unified Framework for Salient Object Segmentation, Edge Detection and Skeleton Extraction. CoRR abs/1803.09860 (2018) - [i23]Yun Liu, Ming-Ming Cheng, Jia-Wang Bian, Le Zhang, Peng-Tao Jiang, Yang Cao:
Semantic Edge Detection with Diverse Deep Supervision. CoRR abs/1804.02864 (2018) - [i22]Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Ming-Ming Cheng, Bo Ren, Rongrong Ji, Paul L. Rosin:
Face Sketch Synthesis Style Similarity: A New Structure Co-occurrence Texture Measure. CoRR abs/1804.02975 (2018) - [i21]Yun Liu, Yujun Shi, JiaWang Bian, Le Zhang, Ming-Ming Cheng, Jiashi Feng:
Learning Pixel-wise Labeling from the Internet without Human Interaction. CoRR abs/1805.07548 (2018) - [i20]Kai Zhao, Shanghua Gao, Qibin Hou, Dandan Li, Ming-Ming Cheng:
Optimizing the F-measure for Threshold-free Salient Object Detection. CoRR abs/1805.07567 (2018) - [i19]Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji:
Enhanced-alignment Measure for Binary Foreground Map Evaluation. CoRR abs/1805.10421 (2018) - [i18]JiaWang Bian, Ruihan Yang, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid, WenHai Wu:
MatchBench: An Evaluation of Feature Matchers. CoRR abs/1808.02267 (2018) - [i17]Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng:
Self-Erasing Network for Integral Object Attention. CoRR abs/1810.09821 (2018) - [i16]Yahui Wang, Shaojun Cai, Shi-Jie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng:
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System. CoRR abs/1811.12633 (2018) - 2017
- [j20]Niloy J. Mitra, Yizhou Yu, Ming-Ming Cheng:
Editorial Special issue on the fifth Computational Visual Media conference (CVM 2017). Graph. Model. 91: 12 (2017) - [j19]Jingdong Wang, Huaizu Jiang, Zejian Yuan, Ming-Ming Cheng, Xiaowei Hu, Nanning Zheng:
Salient Object Detection: A Discriminative Regional Feature Integration Approach. Int. J. Comput. Vis. 123(2): 251-268 (2017) - [j18]Ming-Ming Cheng, Qibin Hou, Song-Hai Zhang, Paul L. Rosin:
Intelligent Visual Media Processing: When Graphics Meets Vision. J. Comput. Sci. Technol. 32(1): 110-121 (2017) - [j17]Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Jiashi Feng, Yao Zhao, Shuicheng Yan:
STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2314-2320 (2017) - [c20]JiaWang Bian, Wen-Yan Lin, Yasuyuki Matsushita, Sai-Kit Yeung, Tan-Dat Nguyen, Ming-Ming Cheng:
GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence. CVPR 2017: 2828-2837 - [c19]Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply Supervised Salient Object Detection with Short Connections. CVPR 2017: 5300-5309 - [c18]Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai:
Richer Convolutional Features for Edge Detection. CVPR 2017: 5872-5881 - [c17]Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan:
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. CVPR 2017: 6488-6496 - [c16]Qibin Hou, Daniela Massiceti, Puneet Kumar Dokania, Yunchao Wei, Ming-Ming Cheng, Philip H. S. Torr:
Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation. EMMCVPR 2017: 263-277 - [c15]Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji:
Structure-Measure: A New Way to Evaluate Foreground Maps. ICCV 2017: 4558-4567 - [c14]Xiaolong Liu, Pengyuan Lyu, Xiang Bai, Ming-Ming Cheng:
Fusing Image and Segmentation Cues for Skeleton Extraction in the Wild. ICCV Workshops 2017: 1744-1748 - [c13]Jingfan Guo, Tongwei Ren, Lei Huang, Xingyu Liu, Ming-Ming Cheng, Gangshan Wu:
Video salient object detection via cross-frame cellular automata. ICME 2017: 325-330 - [c12]Xiao-Chang Liu, Ming-Ming Cheng, Yu-Kun Lai, Paul L. Rosin:
Depth-aware neural style transfer. NPAR@Expressive 2017: 4:1-4:10 - [e3]Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I. Communications in Computer and Information Science 771, Springer 2017, ISBN 978-981-10-7298-7 [contents] - [e2]Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part II. Communications in Computer and Information Science 772, Springer 2017, ISBN 978-981-10-7301-4 [contents] - [e1]Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part III. Communications in Computer and Information Science 773, Springer 2017, ISBN 978-981-10-7304-5 [contents] - [i15]Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan:
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. CoRR abs/1703.08448 (2017) - [i14]Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji:
Structure-measure: A New Way to Evaluate Foreground Maps. CoRR abs/1708.00786 (2017) - [i13]Ruochen Fan, Qibin Hou, Ming-Ming Cheng, Tai-Jiang Mu, Shi-Min Hu:
S4Net: Single Stage Salient-Instance Segmentation. CoRR abs/1711.07618 (2017) - 2016
- [j16]Sam Hare, Stuart Golodetz, Amir Saffari, Vibhav Vineet, Ming-Ming Cheng, Stephen L. Hicks, Philip H. S. Torr:
Struck: Structured Output Tracking with Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2096-2109 (2016) - [c11]Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip H. S. Torr, Shi-Min Hu, Zhuowen Tu:
HFS: Hierarchical Feature Selection for Efficient Image Segmentation. ECCV (3) 2016: 867-882 - [i12]Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply supervised salient object detection with short connections. CoRR abs/1611.04849 (2016) - [i11]Jia-Xin Zhao, Ren Bo, Qibin Hou, Ming-Ming Cheng:
FLIC: Fast Linear Iterative Clustering with Active Search. CoRR abs/1612.01810 (2016) - [i10]Qinbin Hou, Puneet Kumar Dokania, Daniela Massiceti, Yunchao Wei, Ming-Ming Cheng, Philip H. S. Torr:
Mining Pixels: Weakly Supervised Semantic Segmentation Using Image Labels. CoRR abs/1612.02101 (2016) - [i9]Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai:
Richer Convolutional Features for Edge Detection. CoRR abs/1612.02103 (2016) - 2015
- [j15]Ming-Ming Cheng, Victor Adrian Prisacariu, Shuai Zheng, Philip H. S. Torr, Carsten Rother:
DenseCut: Densely Connected CRFs for Realtime GrabCut. Comput. Graph. Forum 34(7): 193-201 (2015) - [j14]Wei Qi, Ming-Ming Cheng, Ali Borji, Huchuan Lu, Lianfa Bai:
SaliencyRank: Two-stage manifold ranking for salient object detection. Comput. Vis. Media 1(4): 309-320 (2015) - [j13]Ming-Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Philip H. S. Torr, Shi-Min Hu:
Global Contrast Based Salient Region Detection. IEEE Trans. Pattern Anal. Mach. Intell. 37(3): 569-582 (2015) - [j12]Ali Borji, Ming-Ming Cheng, Huaizu Jiang, Jia Li:
Salient Object Detection: A Benchmark. IEEE Trans. Image Process. 24(12): 5706-5722 (2015) - [j11]Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips. ACM Trans. Graph. 34(5): 154:1-154:17 (2015) - [c10]Shuai Zheng, Victor Adrian Prisacariu, Melinos Averkiou, Ming-Ming Cheng, Niloy J. Mitra, Jamie Shotton, Philip H. S. Torr, Carsten Rother:
Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds. GCPR 2015: 196-208 - [c9]Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, Anurag Arnab, Stephen L. Hicks, David William Murray, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: interactive segmentation and learning of 3D worlds. SIGGRAPH Emerging Technologies 2015: 22:1 - [c8]Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: interactive segmentation and learning of 3D world. SIGGRAPH Talks 2015: 75:1 - [i8]Ali Borji, Ming-Ming Cheng, Huaizu Jiang, Jia Li:
Salient Object Detection: A Benchmark. CoRR abs/1501.02741 (2015) - [i7]Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan:
STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation. CoRR abs/1509.03150 (2015) - [i6]Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Anurag Arnab, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, David William Murray, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes. CoRR abs/1510.03727 (2015) - [i5]Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama:
BING++: A Fast High Quality Object Proposal Generator at 100fps. CoRR abs/1511.04511 (2015) - 2014
- [j10]Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr:
ImageSpirit: Verbal Guided Image Parsing. ACM Trans. Graph. 34(1): 3:1-3:11 (2014) - [j9]Ming-Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu:
SalientShape: group saliency in image collections. Vis. Comput. 30(4): 443-453 (2014) - [c7]Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr:
Dense Semantic Image Segmentation with Objects and Attributes. CVPR 2014: 3214-3221 - [c6]Ming-Ming Cheng, Ziming Zhang, Wen-Yan Lin, Philip H. S. Torr:
BING: Binarized Normed Gradients for Objectness Estimation at 300fps. CVPR 2014: 3286-3293 - [c5]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217 - [c4]Wen-Yan Daniel Lin, Ming-Ming Cheng, Jiangbo Lu, Hongsheng Yang, Minh N. Do, Philip H. S. Torr:
Bilateral Functions for Global Motion Modeling. ECCV (4) 2014: 341-356 - [i4]Victor Adrian Prisacariu, Olaf Kähler, Ming-Ming Cheng, Carl Yuheng Ren, Julien P. C. Valentin, Philip H. S. Torr, Ian D. Reid, David William Murray:
A Framework for the Volumetric Integration of Depth Images. CoRR abs/1410.0925 (2014) - [i3]Huaizu Jiang, Zejian Yuan, Ming-Ming Cheng, Yihong Gong, Nanning Zheng, Jingdong Wang:
Salient Object Detection: A Discriminative Regional Feature Integration Approach. CoRR abs/1410.5926 (2014) - [i2]Ali Borji, Ming-Ming Cheng, Huaizu Jiang, Jia Li:
Salient Object Detection: A Survey. CoRR abs/1411.5878 (2014) - 2013
- [j8]Tao Chen, Ping Tan, Li-Qian Ma, Ming-Ming Cheng, Ariel Shamir, Shi-Min Hu:
PoseShop: Human Image Database Construction and Personalized Content Synthesis. IEEE Trans. Vis. Comput. Graph. 19(5): 824-837 (2013) - [j7]Shi-Min Hu, Tao Chen, Kun Xu, Ming-Ming Cheng, Ralph R. Martin:
Internet visual media processing: a survey with graphics and vision applications. Vis. Comput. 29(5): 393-405 (2013) - [c3]Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel T. Crook:
Efficient Salient Region Detection with Soft Image Abstraction. ICCV 2013: 1529-1536 - [c2]Wen-Yan Lin, Ming-Ming Cheng, Shuai Zheng, Jiangbo Lu, Nigel T. Crook:
Robust Non-parametric Data Fitting for Correspondence Modeling. ICCV 2013: 2376-2383 - [i1]Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Jonathan Warrell, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr:
ImageSpirit: Verbal Guided Image Parsing. CoRR abs/1310.4389 (2013) - 2012
- [j6]Youyi Zheng, Xiang Chen, Ming-Ming Cheng, Kun Zhou, Shi-Min Hu, Niloy J. Mitra:
Interactive images: cuboid proxies for smart image manipulation. ACM Trans. Graph. 31(4): 99:1-99:11 (2012) - [j5]Fang-Lue Zhang, Ming-Ming Cheng, Jiaya Jia, Shi-Min Hu:
ImageAdmixture: Putting Together Dissimilar Objects from Groups. IEEE Trans. Vis. Comput. Graph. 18(11): 1849-1857 (2012) - 2011
- [j4]Ming-Ming Cheng, Guo-Xin Zhang:
Connectedness of Random Walk Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 200-202 (2011) - [c1]Ming-Ming Cheng, Guo-Xin Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu:
Global contrast based salient region detection. CVPR 2011: 409-416 - 2010
- [j3]Ming-Ming Cheng, Fang-Lue Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu:
RepFinder: finding approximately repeated scene elements for image editing. ACM Trans. Graph. 29(4): 83:1-83:8 (2010)
2000 – 2009
- 2009
- [j2]Guo-Xin Zhang, Ming-Ming Cheng, Shi-Min Hu, Ralph R. Martin:
A Shape-Preserving Approach to Image Resizing. Comput. Graph. Forum 28(7): 1897-1906 (2009) - [j1]Tao Chen, Ming-Ming Cheng, Ping Tan, Ariel Shamir, Shi-Min Hu:
Sketch2Photo: internet image montage. ACM Trans. Graph. 28(5): 124 (2009)
Coauthor Index
Shanghua Gao
aka: Shang-Hua Gao
aka: Shang-Hua Gao
Chunle Guo
aka: Chun-Le Guo
aka: Chun-Le Guo
[j110] [j107] [j106] [j105] [j103] [c109] [c107] [c106] [c105] [c102] [c101] [c100] [i155] [i153] [i151] [i149] [i148] [i147] [i145] [i144] [i137] [i135] [i134] [i133] [j94] [j93] [j86] [c96] [c93] [c92] [i132] [i131] [i130] [i128] [i127] [i123] [i120] [i119] [i118] [i117] [i115] [i113] [i110] [i108] [i106] [j74] [c84] [c77] [c76] [i98] [i91] [i89] [i85] [j49] [j48] [i72] [j42] [j37] [c62] [c60] [i66] [i63] [i49] [j32] [j29] [c51] [c48] [c44] [i41] [i38] [j25] [c35] [c31] [c30] [c23] [i26] [i25] [i24] [i20] [i17] [j18] [c19] [c16] [i13] [c11] [i12] [i11]
[j108] [i143] [j89] [j85] [i116] [i112] [j81] [j79] [j71] [j70] [j68] [i90] [j61] [j60] [j59] [j58] [j52] [j51] [c72] [i73] [j41] [j40] [c67] [c65] [i59] [i53] [i52] [i51] [i46] [i45] [j33] [j28] [c54] [c52] [c43] [i43] [i39] [i38] [i36] [i35] [i34] [i31] [i30] [j23] [c34] [c32] [c29] [c27] [c25] [i23] [i21] [i18] [i16] [c18] [c15] [i14] [c11] [i9] [i5]
Chengze Lu
aka: Cheng-Ze Lu
aka: Cheng-Ze Lu
Wushour Slamu
aka: Wushouer Silamu
aka: Wushouer Silamu
Philip Torr 0001
aka: Philip H. S. Torr
aka: Philip H. S. Torr
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-08 00:54 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
