Selected Publications

Notes: Joint first authors are indicated using #, and corresponding authors using *.

Online Publication

  1. Weakly Supervised Semantic Segmentation via Alternate Self-Dual Teaching, Dingwen Zhang, Hao Li, Wenyuan Zeng, Chaowei Fang, Lechao Cheng, Ming-Ming Cheng, Junwei Han*, IEEE TIP, 2023. [pdf | code]

2024

  1. Contrastive Masked Autoencoders are Stronger Vision Learners, Zhicheng Huang, Xiaojie Jin*, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng*, IEEE TPAMI, 46(4):2506-2517, 2024. [pdf | code]
  2. Revisiting Computer-Aided Tuberculosis Diagnosis, Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu*, Min Wu, Ming-Ming Cheng, IEEE TPAMI, 46(4):2316-2332, 2024. [pdf | code | 中译版]
  3. PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding, Zhen Li, Mingdeng Cao, Xintao Wang, Zhongang Qi, Ming-Ming Cheng, Ying Shan, IEEE CVPR, 2024. [pdf|code]
  4. Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning, Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng, IEEE CVPR, 2024. [pdf|code]
  5. Generative Multi-modal Models are Good Class Incremental Learners, Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng, IEEE CVPR, 2024. [pdf | code]
  6. Traffic Scene Parsing through the TSP6K Dataset, Peng-Tao Jiang*, Yuqi Yang*, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen, IEEE CVPR, 2024. [pdf | code]
  7. CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation, Bo-Yuan Sun, Yuqi Yang, Le Zhang, Ming-Ming Cheng, Qibin Hou, IEEE CVPR, 2024. [pdf|code]
  8. CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection, JiaBao Wang, Yuming Chen, ZhaoHui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou, IEEE CVPR, 2024. [pdf|code]
  9. TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes, Xuying Zhang, Bo-Wen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng, IEEE CVPR, 2024. [pdf|code]

2023

  1. SERE: Exploring Feature Self-relation for Self-supervised Transformer, Zhong-Yu Li, Shanghua Gao*, Ming-Ming Cheng, IEEE TPAMI, 45(12):15619-15631, 2023. [pdf | code | 中译版].
  2. MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation, Shi-Jie Li#, Yazan AbuFarha#, Yun Liu, Ming-Ming Cheng, Juergen Gall, IEEE TPAMI, 45(6):6647-6658, 2023. [pdf |code| project| bib | 中译版 | LaTeX]
  3. Large-scale Unsupervised Semantic Segmentation, Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng*, Junwei Han, Philip Torr, IEEE TPAMI, 45(6):7457-7476, 2023. [pdf | code | bib | 中译版]
  4. PoolNet+: Exploring the Potential of Pooling for Salient Object Detection, Jiang-Jiang Liu, Qibin Hou, Zhi-Ang Liu, Ming-Ming Cheng*, IEEE TPAMI, 45(1):887-904, 2023. [project | code | bib | pdf | sup | 中译版 | 补充材料 ]
  5. Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition, Qibin Hou*, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng, IEEE TPAMI, 45(1):1328-1334, 2023. [code | pdf | bib | 中译版]
  6. Salient Objects in Clutter, Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng*, and Ling Shao, IEEE TPAMI, 45(2):2344-2366, 2023. [pdf |code| bib | 中译版 | Benchmark]
  7. Class-Specific Semantic Reconstruction for Open Set Recognition, Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng, IEEE TPAMI, 45(4):4214-4228, 2023. [pdf | code | bib | 中译版]
  8. Co-Salient Object Detection with Co-Representation Purification, Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng*, IEEE TPAMI, 45(7):8193-8205, 2023. [pdf | code | bib | 中译版 ]
  9. Localization Distillation for Object Detection, Zhaohui Zheng, Rongguang Ye, Qibin Hou*, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng, IEEE TPAMI, 45(8):10070-10083, 2023. [pdf | code | bib | 中译版 ]
  10. RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks, Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng*, Liang Wang, IEEE TPAMI, 45(3):2984-3002, 2023. [pdf | bib | project | PPT EN/CN| code | 中译版]
  11. P2T: Pyramid Pooling Transformer for Scene Understanding, Yu-Huan Wu#, Yun Liu#, Xin Zhan, Ming-Ming Cheng*, IEEE TPAMI, 45(11):12760-12771, 2023. [pdf | bib | code | PPT EN/CN | 中译版 | LaTex]
  12. Deeply Explain CNN via Hierarchical Decomposition, Ming-Ming Cheng#*, Peng-Tao Jiang#, Ling-Hao Han, Liang Wang, Philip Torr, IJCV, 2023. [pdf| code | bib |中译版]
  13. Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections, Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren*, IEEE CVPR, 20823-20833, 2023. [pdf | code | 中译版]
  14. Multi-Space Neural Radiance Fields, Ze-Xin Yin, JiaXiong Qiu, Ming-Ming Cheng, Bo Ren*, IEEE CVPR, 12407-12416, 2023. [pdf | code | 中译版]
  15. AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation, Zhen Li#, Zuo-Liang Zhu#, Ling-Hao Han, Qibin Hou, Chun-Le Guo*, Ming-Ming Cheng, IEEE CVPR, 9801-9810, 2023. [pdf | code | 中译版]
  16. Endpoints Weight Fusion for Class Incremental Semantic Segmentation, Jiawen Xiao#, Chang-Bin Zhang#, Jiekang Feng, Xialei Liu*, Joost van de Weijer, Ming-Ming Cheng, IEEE CVPR, 7204-7213, 2023. [pdf | code | 中译版]
  17. Large Selective Kernel Network for Remote Sensing Object Detection, Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang*, Xiang Li*, IEEE ICCV, 16794-16805, 2023. [pdf | code | 中译版]
  18. Masked Diffusion Transformer is a Strong Image Synthesizer, Shanghua Gao, Pan Zhou*, Ming-Ming Cheng*, Shuicheng Yan, IEEE ICCV, 23164-23173, 2023. [pdf | code | 中译版]
  19. Masked Autoencoders are Efficient Class Incremental Learners, Jiang-Tian Zhai, Xialei Liu*, Andy Bagdanov, Ke Li, Ming-Ming Cheng, IEEE ICCV, 19104-19113, 2023. [pdf | code | 中译版]
  20. SRFormer: Permuted Self-Attention for Single Image Super-Resolution, Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou*, IEEE ICCV, 12780-12791, 2023. [pdf | code | 中译版]
  21. SLAN: Self-Locator Aided Network for Vision-language Understanding, Jiang-Tian Zhai#, Qi Zhang#, Tong Wu, Xingyu Chen, Jiang-Jiang Liu*, Ming-Ming Cheng*, IEEE ICCV, 21949-21958, 2023. [pdf | code | 中译版]
  22. Visual attention network, Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu, Computational Visual Media, 2023. [pdf | bib | code]
  23. 复杂场景的自适应视觉感知，高尚华，南开大学博士论文，2023。
  24. 基于卷积注意力机制的视觉识别和语义分割骨干网络设计，陆承泽，南开大学硕士论文，2023。

2022

  1. A Highly Efficient Model to Study the Semantics of Salient Object Detection, Ming-Ming Cheng*#, Shang-Hua Gao#, Ali Borji, Yong-Qiang Tan, Zheng Lin, Meng Wang, IEEE TPAMI, 44(11):8006-8021, 2022. [pdf | bib | project | code | 中译版]
  2. Online Attention Accumulation for Weakly Supervised Semantic Segmentation, Peng-Tao Jiang#, Ling-Hao Han#, Qibin Hou, Ming-Ming Cheng*, Yunchao Wei, IEEE TPAMI, 44(10):7062-7077, 2022. [pdf | bib | project |code | 中译版]
  3. Concealed Object Detection, Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng*, Ling Shao, IEEE TPAMI, 44(10):6024-6042, 2022. [pdf |python code|Jittor code| demo| bib | project | 中译版]
  4. Deep Hough Transform for Semantic Line Detection, Kai Zhao#, Qi Han#, Chang-Bin Zhang, Jun Xu, Ming-Ming Cheng*, IEEE TPAMI, 44(9):4793-4806, 2022. [pdf | bib |code| project | 中译版]
  5. Re-thinking Co-Salient Object Detection, Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng*, Huazhu Fu, Jianbing Shen, IEEE TPAMI, 44(8):4339-4354, 2022. [pdf | bib | code | 中译版]
  6. SANet: A Slice-Aware Network for Pulmonary Nodule Detection, Jie Mei, Ming-Ming Cheng*, Gang Xu, Lan-Ruo Wan, and Huan Zhang, IEEE TPAMI, 44(8):4374-4387, 2022. [pdf | project | code | data | bib | 中译版]
  7. Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation, Yun Liu#, Yu-Huan Wu#, Peisong Wen, Yujun Shi, Yu Qiu, Ming-Ming Cheng*, IEEE TPAMI, 44(3):1415-1428, 2022. [pdf | bib | code | 中译版]
  8. MobileSal: Extremely Efficient RGB-D Salient Object Detection, Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yu-Chao Gu, Ming-Ming Cheng*, IEEE TPAMI, 44(12):10261-10269, 2022. [pdf | bib | code | project | 中译版]
  9. Low-Light Image and Video Enhancement Using Deep Learning: A Survey, Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy, IEEE TPAMI, 44(12):9396-9416, 2022. [pdf | code | bib | 中译版]
  10. Semantic Edge Detection with Diverse Deep Supervision, Yun Liu, Ming-Ming Cheng*, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, Dacheng Tao, IJCV, 130:179–198, 2022. [pdf | code | bib | 中译版]
  11. EDN: Salient Object Detection via Extremely-Downsampled Network, Yu-Huan Wu#, Yun Liu#, Le Zhang, Ming-Ming Cheng, Bo Ren*, IEEE TIP, 31:3125-3136, 2022. [pdf | code | bib | 中译版]
  12. Towards An End-to-End Framework for Flow-Guided Video Inpainting, Zhen Li, Cheng-Ze Lu, Qin Jianhua, Chun-Le Guo*, Ming-Ming Cheng, IEEE CVPR, 2022. [pdf | bib | PPT | code | 中译版]
  13. Representation Compensation Networks for Continual Semantic Segmentation, Chang-Bin Zhang, Jiawen Xiao, Xialei Liu*, Yingcong Chen, Ming-Ming Cheng, IEEE CVPR, 2022. [pdf | bib | code | 中译版]
  14. Localization Distillation for Dense Object Detection, Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou*, Ming-Ming Cheng, IEEE CVPR, 2022. [pdf | bib | code | 中译版]
  15. FocusCut: Diving into a Focus View in Interactive Segmentation, Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chun-Le Guo*, Ming-Ming Cheng, IEEE CVPR (oral), 2022. [pdf | bib | code | 中译版]
  16. L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation, Peng-Tao Jiang, Yuqi Yang, Qibin Hou*, Yunchao Wei, IEEE CVPR, 2022. [pdf | code | bib | 中译版]
  17. 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, Computational Visual Media, 2022. [pdf | bib | code ]
  18. KnifeCut: Refining Thin Part Segmentation with Cutting Lines, Zheng Lin#, Zheng-Peng Duan#, Zhao Zhang, Chun-Le Guo*, Ming-Ming Cheng, ACM Multimedia (oral), 2022. [pdf | bib | code | 中译版]
  19. SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation, Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu, NeurIPS 2022. [pdf | code | bib | 中译版]
  20. Long-Tailed Class Incremental Learning, Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng, ECCV 2022. [pdf | code | bib | 中译版]
  21. 显著性目标检测中的特征高效融合研究，刘姜江，南开大学博士论文，2022。
  22. 基于注意力机制的物体定位与归因研究，姜鹏涛，南开大学博士论文，2022。
  23. 面向复杂场景的多层次目标检测与分割，吴宇寰，南开大学博士论文，2022。
  24. 序列图像的识别与检测算法研究，梅杰，南开大学博士论文，2022。
  25. 基于深度霍夫变换的语义线检测，韩琦，南开大学硕士论文，2022。
  26. 基于标签平滑与表征补偿机制的在线知识迁移，张长彬，南开大学硕士论文，2022。
  27. 轻量化视觉模型的自动搜索，顾宇超，南开大学硕士论文，2022。

2021

  1. 互联网图像驱动的语义分割自主学习, 侯淇彬, 韩凌昊, 刘姜江, 程明明*, 中国科学：信息科学, 51(7):1084-1099, 2021. [pdf | bib | project]
  2. 认知规律启发的物体分割评价标准及损失函数，范登平, 季葛鹏, 秦雪彬, 程明明*, 中国科学：信息科学, 2021. [pdf | code | bib ]
  3. Structure-measure: A New Way to Evaluate Foreground Maps, Ming-Ming Cheng*, Deng-Ping Fan, IJCV, 129(9):2622-2638, 2021. [pdf | code | bib | 中译版]
  4. Res2Net: A New Multi-scale Backbone Architecture, Shang-Hua Gao#, Ming-Ming Cheng*#, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip Torr, IEEE TPAMI, 43(2):652-662, 2021. [pdf | code | project | bib | 中译版 | LaTeX | PPT EN/CN | 中国百篇最具影响国际学术论文]
  5. Revisiting Video Saliency Prediction in the Deep Learning Era, Wenguan Wang, Jianbing Shen*, Jianwen Xie, Ming-Ming Cheng, Haibin Ling, Ali Borji, IEEE TPAMI, 43(1):220-237, 2021. [pdf | bib | project | code]
  6. Nonlinear Regression via Deep Negative Correlation Learning, Le Zhang#, Zenglin Shi#, Ming-Ming Cheng*, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng, IEEE TPAMI, 43(3):982-998, 2021. [pdf | bib | code | project|中译版]
  7. Ordered or Orderless: A Revisit for Video based Person Re-Identification, Le Zhang, Zenglin Shi, Joey Tianyi Zhou*, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen, IEEE TPAMI, 43(4):1460-1466, 2021. [pdf | bib | code | 中译版]
  8. SAMNet: Stereoscopically Attentive Multi-scale Network for Lightweight Salient Object Detection, Yun Liu#, Xin-Yu Zhang#, Jia-Wang Bian, Le Zhang, Ming-Ming Cheng*, IEEE TIP, 30:3804-3814, 2021. [pdf | project | code | bib |中译版]
  9. Regularized Densely-connected Pyramid Network for Salient Instance Segmentation, Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng*, IEEE TIP, 30:3897-3907, 2021. [pdf | code | bib | 中译版]
  10. JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation, Yu-Huan Wu, Shang-Hua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rong-Guo Zhang, Ming-Ming Cheng*, IEEE TIP, 30:3113-3126, 2021. [pdf | code | data | project | bib | 中译版]
  11. Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation, Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng*, IEEE TIP, 30:2313-2324, 2021. [pdf|code|project| bib |中译版]
  12. CoANet: Connectivity Attention Network for Road Extraction from Satellite Imagery, Jie Mei, Rou-Jing Li, Wang Gao, Ming-Ming Cheng*, IEEE TIP, 2021. [pdf|project|code| bib |中译版]
  13. Rethinking the U-shape Structure for Salient Object Detection, Jiang-Jiang Liu#, Zhi-Ang Liu#, Pai Peng, Ming-Ming Cheng*, IEEE TIP, 2021. [pdf | project | code | bib | 中译版]
  14. LayerCAM: Exploring Hierarchical Class Activation Maps for Localization, Peng-Tao Jiang#, Chang-Bin Zhang#, Qibin Hou, Ming-Ming Cheng*, Yunchao Wei, IEEE TIP, 2021. [pdf | project | code | bib | 中译版]
  15. Delving Deep into Label Smoothing, Chang-Bin Zhang#, Peng-Tao Jiang#, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng*, IEEE TIP, 2021. [pdf | project | code | bib | 中译版]
  16. Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks, Deng-Ping Fan, Zheng Lin, Zhao Zhang, Menglong Zhu, Ming-Ming Cheng*, IEEE TNNLS, 32(5):2075-2089, 2021. [pdf | bib | code | 中译版]
  17. RGB-D salient object detection: A survey, Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling and Shao, Computational Visual Media, 7(1):37–69, 2021. [pdf | code | project | 中译版 | bib ]
  18. iNAS: Integral NAS for Device-Aware Salient Object Detection, Yu-Chao Gu, Shang-Hua Gao, Xu-Sheng Cao, Peng Du, Shao-Ping Lu, Ming-Ming Cheng*, IEEE ICCV, 2021. [pdf | code | project | bib | 中译版]
  19. Personalized Image Semantic Segmentation, Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Feng Mao, Ming-Ming Cheng*, IEEE ICCV, 2021. [pdf | code | project | bib |中译版]
  20. Representative Batch Normalization with Feature Calibration, Shang-Hua Gao, Qi Han, Duo Li, Ming-Ming Cheng*, Pai Peng, IEEE CVPR (oral), 2021. [pdf|bib|project|code| bib | 中译版]
  21. DOTS: Decoupling Operation and Topology in Differentiable Architecture Search, Yu-Chao Gu#, Li-Juan Wang#, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng*, IEEE CVPR, 2021. [pdf | code | bib | 中译版]
  22. Temporal Modulation Network for Controllable Space-Time Video Super-Resolution, Gang Xu, Jun Xu*, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng, IEEE CVPR, 2021. [pdf | code | bib |中译版]
  23. Improved protein structure prediction using a new multi-scale network and homologous templates, Hong Su*, Wenkai Wang*, Zongyang Du, Zhenling Peng, Shang-Hua Gao, Ming-Ming Cheng, Jianyi Yang#, Advanced Science, 8(24):2102592 (2021). [PDF | Supporting Information | Server]
  24. 基于空间信息引导卷积的实时 RGBD 语义分割方法，陈林卓，南开大学硕士论文，2021。

2020

  1. Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton, Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng*. IEEE TIP, 29:8652-8667, 2020.  [pdf | bib | project | code | 中译版]
  2. Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image, Jun Xu#, Yuan Huang#, Ming-Ming Cheng*, Li Liu, Fan Zhu, Zhou Xu, Ling Shao, IEEE TIP, 2020. [pdf | code | bib ]
  3. Refinedbox: Refining for fewer and high-quality object proposals, Yun Liu, Shijie Li, Ming-Ming Cheng*, Neurocomputing, 406:106-116, 2020. [pdf | bib | code | 中译版]
  4. Deep Hough Transform for Semantic Line Detection, Qi Han#, Kai Zhao#, Jun Xu, Ming-Ming Cheng*, ECCV, 249-265, 2020. [pdf | bib |code| project |latex| 中译版]
  5. Highly Efficient Salient Object Detection with 100K Parameters, Shang-Hua Gao, Yong-Qiang Tan, Ming-Ming Cheng*, Chengze Lu, Yunpeng Chen, Shuicheng Yan, ECCV, 702–721, 2020. [pdf | bib | project | code | 中译版]
  6. Gradient-Induced Co-Saliency Detection, Zhao Zhang#, Wenda Jin#, Jun Xu, Ming-Ming Cheng*, ECCV, 455–472, 2020. [pdf | code | bib |project | 中译版]
  7. S4Net: Single stage salient-instance segmentation, Ruochen Fan*, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu, Computational Visual Media, 6(2):191-204, 2020. [project | code | bib | pdf]
  8. Structure-Preserving Neural Style Transfer, Ming-Ming Cheng*#, Xiao-Chang Liu#, Jie Wang, Shao-Ping Lu, Yu-Kun Lai, Paul L. Rosin, IEEE TIP, 29:909-920, 2020. [pdf | bib | project | code]
  9. Improving Convolutional Networks with Self-Calibrated Convolutions, Jiang-Jiang Liu#, Qibin Hou#, Ming-Ming Cheng*, Jiashi Feng, Changhu Wang, IEEE CVPR, 10093-10102, 2020. [pdf | project | bib | code | 中译版]
  10. Taking a Deeper Look at Co-salient Object Detection, Deng-Ping Fan#, Zheng Lin#, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng*, IEEE CVPR, 2916-2926, 2020. [pdf | Evaluation Tool |CoSOD3K (Baidu: ky1v)|CoSOD3K (Google)| bib | code | 中译版]
  11. Strip Pooling: Rethinking Spatial Pooling for Scene Parsing, Qibin Hou*, Li Zhang, Ming-Ming Cheng, Jiashi Feng, IEEE CVPR, 4002-4011, 2020. [pdf | bib | code|中译版]
  12. VecRoad: Point-based Iterative Graph Exploration for Road Graphs Extraction, Yong-Qiang Tan, Shang-Hua Gao, Xuan-Yi Li, Ming-Ming Cheng, Bo Ren*, IEEE CVPR, 8907-8915, 2020. [pdf | project | bib | code | 中译版 | LaTeX]
  13. Interactive Image Segmentation with First Click Attention, Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu*, IEEE CVPR, 13336-13345, 2020. [pdf | project | video | bib | code | 中译版]
  14. Camouflaged Object Detection, Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen*, Ling Shao, IEEE CVPR (Oral), 2774-2784, 2020. [pdf | project | bib | 中译版 | code | demo| COD10K_All (Baidu ky1v| Google ) (2.25G)]
  15. Rethinking Computer-aided Tuberculosis Diagnosis, Yun Liu#, Yu-Huan Wu#, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng*, IEEE CVPR (Oral), 2643-2652, 2020. [pdf | project & code | 中译版 | bib | Dataset on Google Drive | Dataset on Baidu Yunpan | Online Challenge | Video | PPT]
  16. GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence, Jia-Wang Bian*, Wen-Yan Lin, Yun Liu, Le Zhang, Sai-Kit Yeung, Ming-Ming Cheng, Ian Reid, IJCV, 128(6):1580-1593, 2020. [pdf |code| bib | project | 中译版]
  17. 知识引导的自适应图像理解，刘云，南开大学博士论文，2020。(2022年天津市优秀博士论文)
  18. 视觉感知任务中神经网络损失函数设计研究，赵凯，南开大学博士论文，2020。
  19. 基于对比度先验和流动金字塔的 RGBD 显著性检测方法，曹洋，南开大学硕士论文，2020。

2019

  1. Richer Convolutional Features for Edge Detection, Yun Liu, Ming-Ming Cheng*, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, Jinhui Tang, IEEE TPAMI, 41(8):1939-1946, 2019. [pdf|project|bib|code|中译版|LaTex]
  2. Deeply supervised salient object detection with short connections, Qibin Hou, Ming-Ming Cheng*, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip Torr, IEEE TPAMI, 41(4):815-828, 2019.  [pdf|project|bib|code|中译版]
  3. Optimizing the F-measure for Threshold-free Salient Object Detection, Kai Zhao, Shang-Hua Gao, Wenguan Wang, Ming-Ming Cheng*, IEEE ICCV, 2019.[pdf|bib|project |code| 中译版]
  4. Scoot: A Perceptual Metric for Facial Sketches, Deng-Ping Fan, ShengChuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng*, Bo Ren, Paul Rosin, Rongrong Ji, IEEE ICCV, 2019. [pdf|project|code|bib|中译版]
  5. Integral Object Mining via Online Attention Accumulation, Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng*, Yunchao Wei, Hongkai Xiong, IEEE ICCV, 2019. [pdf|poster|project|code_caffe|code_pytorch|bib|中译版]
  6. EGNet: Edge guidance network for salient object detection, Jiaxing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng*, IEEE ICCV, 2019. [pdf|project|code|bib|中译版]
  7. Shifting More Attention to Video Salient Object Detection, Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng*, Jianbing Shen, IEEE CVPR (Oral & Best Paper Finalist), 2019. [pdf|bib|中译版|code]
  8. Deep Face Recognition via Exclusive Regularization, Kai Zhao, Jingyi Xu, Ming-Ming Cheng*, IEEE CVPR, 2019.  [pdf|bib|code|project]
  9. A Simple Pooling-Based Design for Real-Time Salient Object Detection, Jiang-Jiang Liu#, Qibin Hou#, Ming-Ming Cheng*, Jiashi Feng, Jianmin Jiang, IEEE CVPR, 2019. [project|code| bib |pdf|poster|中译版]
  10. Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection, Jiaxing Zhao#, Yang Cao#, Deng-Ping Fan#, Xuan-Yi Li, Le Zhang, Ming-Ming Cheng*, IEEE CVPR, 2019. [pdf|bib|code|project|中译版]
  11. IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition, Xiaoping Wu, Chi Zhan, Yukun Lai, Ming-Ming Cheng, Jufeng Yang*, IEEE CVPR, 2019. [pdf|bib|project|dataset|code|中译版]
  12. Salient object detection: A survey, Ali Borji, Ming-Ming Cheng*, Qibin Hou, Huaizu Jiang, Jia Li, Computational Visual Media, 5(2):117-150, 2019. [pdf|bib|中译版]
  13. Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video, Jia-Wang Bian*, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian Reid, NeurIPS, 2019. [project|pdf|code|bib|中译版]  
  14. 基于视觉注意机制的语义分割自主学习，侯淇彬，南开大学博士论文，2019。(2022年天津市优秀博士论文)
  15. 认知规律启发的显著性物体检测方法与评测，范登平，南开大学博士论文，2019。(2021年度中国计算机学会优秀博士论文)
  16. 结构指导的实时鲁棒高效三维重建系统，李仕杰，南开大学硕士论文，2019。
  17. 结构保持的图像风格迁移，刘笑畅，南开大学硕士论文，2019。

2018

  1. CODE: Coherence Based Decision Boundaries for Feature Correspondence, Wen-Yan Lin*, Fan Wang, Ming-Ming Cheng, Sai-Kit Yeung, Philip Torr, Minh N. Do, Jiangbo Lu, IEEE TPAMI, 40(1):34-47, 2018. [pdf|project|code|bib]
  2. Sequential Optimization for Efficient High-Quality Object Proposal Generation, Ziming Zhang*, Yun Liu, Xi Chen, Yanyun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H.S. Torr, IEEE TPAMI, 40(5):1209-1223, 2018. [pdf|code]
  3. Self-Erasing Network for Integral Object Attention, Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng*, NIPS, 2018. [pdf|project|code|bib|中译版]
  4. Visual Sentiment Prediction based on Automatic Discovery of Affective Regions, Jufeng Yang*, Dongyu She, Ming Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang, IEEE TMM, 20(9):2513-2525, 2018. [pdf|code|project|bib|中译版]
  5. Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation, Ruochen Fan*, Qibin Hou, Ming-Ming Cheng, Gang Yu, Ralph R. Martin, Shi-Min Hu, ECCV, 2018. [pdf|bib]
  6. Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground, Deng-Ping Fan, Ming-Ming Cheng*, Jiang-Jiang Liu, Shang-Hua Gao, Qibin Hou, Ali Borji, ECCV, 2018. [pdf|中译版|code|project]
  7. DEL: Deep Embedding Learning for Efficient Image Segmentation, Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jia-Wang Bian, Le Zhang, Ming-Ming Cheng*, IJCAI, 2018. [pdf|bib|project|code|中译版]
  8. Hi-Fi: Hierarchical Feature Integration for Skeleton Detection, Kai Zhao, Wei Shen, Shang-Hua Gao, Dandan Li, Ming-Ming Cheng*, IJCAI, 2018. [pdf| 中译版| bib| project|code]
  9. Enhanced-alignment Measure for Binary Foreground Map Evaluation, Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren*, Ming-Ming Cheng, Ali Borji, IJCAI, 2018.[pdf|中译版|bib|code|dataset]
  10. Revisiting Video Saliency: A Large-scale Benchmark and a New Model, Wenguan  Wang, Jianbing Shen*, Fang Guo, Ming-Ming Cheng, Ali Borji, IEEE CVPR, 2018. [pdf|code|bib|project]
  11. Crowd Counting with Deep Negative Correlation Learning, Zenglin Shi, Le Zhang*, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng, IEEE CVPR, 2018. [pdf|bib|code]
  12. FLIC: Fast Linear Iterative Clustering with Active Search, Jia-Xing Zhao, Bo Ren*, Qibin Hou, Paul Rosin, Ming-Ming Cheng, AAAI, 2018. [pdf|project|bib|code]

2017

  1. Structure-measure: A New Way to Evaluate Foreground Maps, Deng-Ping Fan, Ming-Ming Cheng*, Yun Liu, Tao Li, Ali Borji, IEEE ICCV (Spotlight), 2017. [pdf|bib|code|slides|中译版] 
  2. Richer Convolutional Features for Edge Detection, Yun Liu, Ming-Ming Cheng*, Xiaowei Hu, Kai Wang, Xiang Bai, IEEE CVPR, 2017. [pdf|project|bib|code|中译版]
  3. Deeply supervised salient object detection with short connections, Qibin Hou, Ming-Ming Cheng*, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip Torr, IEEE CVPR, 2017. [pdf|project|bib|code]
  4. GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature correspondence, Jia-Wang Bian#, Wen-Yan Lin#, Yasuyuki Matsushita, Sai-Kit Yeung, Tan-Dat Nguyen, Ming-Ming Cheng, IEEE CVPR, 2017. [project|pdf|bib|code|Youtube]
  5. Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach, Yunchao Wei*, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan, IEEE CVPR (Oral), 2017. [bib|pdf]
  6. Depth-aware Neural Style Transfer,  Xiao-Chang Liu, Ming-Ming Cheng*, Yu-Kun Lai, Paul L. Rosin, ACM NPAR, 2017. [pdf|bib|code]
  7. Intelligent Visual Media Processing: When Graphics Meets Vision, Ming-Ming Cheng*, Qi-Bin Hou, Song-Hai Zhang, Paul L. Rosin, JCST, 32(1):110–121 2017. [pdf|bib]
  8. Salient Object Detection: A Discriminative Regional Feature Integration Approach, Jingdong Wang*, Huaizu Jiang, Zejian Yuan, Ming-Ming Cheng, Xiaowei Hu, Nanning Zheng, IJCV, 123(2):251–268, 2017. [pdf|bib|code]
  9. STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation, Yunchao Wei*, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan, IEEE TPAMI, 39(11):2314-2320, 2017. [pdf|bib]

2013-2016

  1. HFS: Hierarchical Feature Selection for Efficient Image Segmentation, Ming-Ming Cheng#*, Yun Liu#, Qibin Hou, Jiawang Bian, Philip Torr,  Shi-Min Hu, Zhuowen Tu, ECCV, 2016. [project|pdf|bib|code | 中译版]
  2. Struck: Structured output tracking with kernels, Sam Hare*, Amir Saffari, Stuart Golodetz, Vibhav Vineet, Ming-Ming, Stephen L. Hicks, Philip H. S. Torr. IEEE TPAMI, 38(10), 2096-2109, 2016. [pdf|bib|code-C++|CUDA].
  3. Salient Object Detection: A Benchmark, Ali Borji#, Ming-Ming Cheng#*, Huaizu Jiang, Jia Li, IEEE TIP, 24(12), 5706-5722, 2015.  [pdf|project|bib|code]
  4. DenseCut: Densely Connected CRFs for Realtime GrabCut. Ming-Ming Cheng*, Victor Adrian Prisacariu, Shuai Zheng, Philip H. S. Torr, Carsten Rother. Computer Graphics Forum, 34(7), 193-201, 2015. [project|pdf|bib|code]
  5. SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips. Julien Valentin#*, Vibhav Vineet#, Ming-Ming Cheng#, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip Torr#, ACM TOG, 34(5), 154:1-154:17, 2015. [pdf|project|bib|code]
  6. Global Contrast based Salient Region Detection. Ming-Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Philip H. S. Torr, Shi-Min Hu*. IEEE TPAMI, 37(3), 569-582, 2015. [pdf | project | bib | code | 中译版 | Latex] [中国百篇最具影响国际学术论文]
  7. Bilateral Functions for Global Motion Modeling, Wen-Yan Lin*, Ming-Ming Cheng, Jiangbo Lu, Hongsheng Yang, Minh Do, Philip Torr, ECCV, 2014. [pdf|bib|code|project]
  8. ImageSpirit: Verbal Guided Image Parsing, Ming-Ming Cheng#*, Shuai Zheng#, Wen-Yan Lin, Vibhav Vineet, Paul Sturgess, Nigel Crook, Niloy Mitra, Philip Torr, ACM TOG, 2014. [project|code |bib|pdf|supplemental]
  9. BING: Binarized Normed Gradients for Objectness Estimation at 300fps, Ming-Ming Cheng*, Ziming Zhang, Wen-Yan Lin, Philip H. S. Torr, IEEE CVPR, 2014, 2386-2393. [project|pdf|bib|code] (Oral, Accept rate: 5.75%)
  10. Dense Semantic Image Segmentation with Objects and Attributes, S. Zheng*, M. Cheng, J. Warrell, P. Sturgess, V. Vineet, C Rother, P. Torr, IEEE CVPR, 2014, 3214-3221. [project|pdf|code|bib]
  11. SalientShape: Group Saliency in Image Collections. Ming-Ming Cheng*, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu. The Visual Computer 30 (4), 443-453, 2014. [pdf|project|bib|latex]
  12. A Framework for the Volumetric Integration of Depth Images, Victor Adrian Prisacariu*, Olaf Kähler, Ming-Ming Cheng, Carl Yuheng Ren, Julien Valentin, Philip H.S. Torr, Ian D. Reid, David W. Murray, arXiv eprint. [bib|pdf|code|project]
  13. Efficient Salient Region Detection with Soft Image Abstraction. Ming-Ming Cheng*, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel Crook. IEEE ICCV, 2013. [pdf|project|bib|latex|code]
  14. Robust Non-parametric Data Fitting for Correspondence Modeling, Wen-Yan Lin*, Ming-Ming Cheng, Shuai Zheng, Jiangbo Lu, Nigel Crook, IEEE ICCV, 2013. [project|bib|pdf|code]
  15. Internet visual media processing: a survey with graphics and vision applications. Shi-Min Hu*, Tao Chen, Kun Xu, Ming-Ming Cheng, Ralph R. Martin. The Visual Computer 29 (5), 393-405, 2013. [pdf|bib]
  16. PoseShop: Human Image Database Construction and Personalized Content Synthesis. Tao Chen*, Ping Tan, Li-Qian Ma, Ming-Ming Cheng, Ariel Shamir, Shi-Min Hu. IEEE TVCG, 19(5), 824-837, 2013. [pdf|bib]

2012 & Before

  1. 图像内容的显著性与相似性研究, 程明明, 清华大学博士学位论文, 2012. [pdf|latex|bib|slides] (北京市优秀博士论文)
  2. Interactive Images: Cuboid Proxies for Smart Image Manipulation. Youyi Zheng*, Xiang Chen, Ming-Ming Cheng, Kun Zhou, Shi-Min Hu, Niloy J. Mitra. ACM TOG. 31, 4, 1-10, 2012. [pdf|project|slides|code|bib]
  3. ImageAdmixture: Putting Together Dissimilar Objects from Groups. Fang-Lue Zhang*, Ming-Ming Cheng, Jiaya Jia, Shi-Min Hu. IEEE TVCG, 18(11), 1849-1857, 2012. [pdf|bib]
  4. Global Contrast based Salient Region Detection. Ming-Ming Cheng*, Guo-Xin Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu. IEEE CVPR, 2011, p. 409-416. [pdf|project|bib|code|中译版] (2nd most cited paper in CVPR 2011)
  5. Connectedness of Random Walk Segmentation. Ming-Ming Cheng*, Guo-Xin Zhang. IEEE TPAMI, 2011. 33(1): p. 200 -202. [pdf|code|bib]
  6. RepFinder: Finding Approximately Repeated Scene Elements for Image Editing. Ming-Ming Cheng*, Fang-Lue Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu. ACM TOG (SIGGRAPH). 29, 4, 83:1-8, 2010. [pdf|project|bib]
  7. Sketch2Photo: Internet Image Montage. Tao Chen*, Ming-Ming Cheng, Ping Tan, Ariel Shamir, Shi-Min Hu. ACM TOG, 28, 5, 124:1-10, 2009. [pdf|project|bib|Commercial Software]
  8. A Shape-Preserving Approach to Image Resizing. Guo-Xin Zhang*, Ming-Ming Cheng, Shi-Min Hu, Ralph R. Martin. Computer Graphics Forum 28, 7, 1897-1906, 2009. [pdf|project|PPT|Video|Code|Supplemental|bib]
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@ARTICLE{MS-TCN-PAMI20,
    author={Shi-Jie Li and Yazan AbuFarha and Yun Liu and Ming-Ming Cheng and Juergen Gall},
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    title={MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation}, 
    year={2023},
    volume={45},
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    pages={6647-6658},
    doi={10.1109/TPAMI.2020.3021756},
}

 

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  author={Gao, Shanghua and Li, Zhong-Yu and Yang, Ming-Hsuan and Cheng, Ming-Ming and Han, Junwei and Torr, Philip},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
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  year={2023},
  volume={45},
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  pages={7457-7476},
  doi={10.1109/TPAMI.2022.3218275}
}
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@article{Liu21PamiPoolNet,
  title={PoolNet+: Exploring the Potential of Pooling for Salient Object Detection},
  author={Jiang-Jiang Liu and Qibin Hou and Zhi-Ang Liu and Ming-Ming Cheng},
  year = {2023},
  volume={45},
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  pages={887-904},
  doi={10.1109/TPAMI.2021.3140168}, 
  journal={IEEE TPAMI} 
}
@inproceedings{Liu2019PoolSal,
  title={A Simple Pooling-Based Design for Real-Time Salient Object Detection},
  author={Jiang-Jiang Liu and Qibin Hou and Ming-Ming Cheng and Jiashi Feng and Jianmin Jiang},
  booktitle={IEEE CVPR},
  year={2019},
}
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@ARTICLE{22PAMI-VisPermutator,
  author={Hou, Qibin and Jiang, Zihang and Yuan, Li and Cheng, Ming-Ming and Yan, Shuicheng and Feng, Jiashi},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
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@article{fan2022clutter,
  title={Salient Objects in Clutter},
  author={Fan, Deng-Ping and Zhang, Jing and Xu, Gang and Cheng, Ming-Ming and Shao, Ling},
  journal={IEEE TPAMI},
  year={2023},  
  volume={45},
  number={2},
  pages={2344-2366},  
  doi={10.1109/TPAMI.2022.3166451}, 
}
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@ARTICLE{22PAMI-OpenSet,
  author={Huang, Hongzhi and Wang, Yu and Hu, Qinghua and Cheng, Ming-Ming},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Class-Specific Semantic Reconstruction for Open Set Recognition}, 
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  volume={45},
  number={4},
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  doi={10.1109/TPAMI.2022.3200384}
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@article{23PAMI-CoSOD,
  title={Co-Salient Object Detection with Co-Representation Purification},
  author={Ziyue Zhu and Zhao Zhang and Zheng Lin and Xing Sun and Ming-Ming Cheng},
  journal={IEEE TPAMI},
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  volume={45}, 
  issue={7},
  year={2023},
  doi={10.1109/TPAMI.2023.3234586}
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@ARTICLE{23PAMI-LocDistill,
  author={Zheng, Zhaohui and Ye, Rongguang and Hou, Qibin and Ren, Dongwei and Wang, Ping and Zuo, Wangmeng and Cheng, Ming-Ming},
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@inproceedings{zhengCvpr22LocaliDistill,
  title={Localization Distillation for Dense Object Detection},
  author={Zhaohui Zheng and Rongguang Ye and Ping Wang and Dongwei Ren and Wangmeng Zuo and Qibin Hou and Ming-Ming Cheng},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2022}
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@ARTICLE{23PAMI-RF-Next,
  author={Gao, Shanghua and Li, Zhong-Yu and Han, Qi and Cheng, Ming-Ming and Wang, Liang},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks}, 
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@inproceedings{gao2021global2local,
  title={Global2Local: Efficient Structure Search for Video Action Segmentation},
  author={Gao, Shang-Hua and Han, Qi and Li, Zhong-Yu and Peng, Pai and Wang, Liang and Cheng, Ming-Ming},
  booktitle={IEEE CVPR},
  year={2021}
}
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@ARTICLE{wu2022p2t,
  author={Wu, Yu-Huan and Liu, Yun and Zhan, Xin and Cheng, Ming-Ming},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={{P2T}: Pyramid Pooling Transformer for Scene Understanding}, 
  year={2022},  
  volume={},
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  doi={10.1109/TPAMI.2022.3202765}
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@article{23IJCV-hDecomp,
  title={Deeply Explain CNN via Hierarchical Decomposition},
  author={Ming-Ming Cheng and Peng-Tao Jiang and Ling-Hao Han and Liang Wang and Philip Torr},
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  pages={1091–1105},
  volume={131},
  year={2023},
  publisher={Springer},
  doi={10.1007/s11263-022-01746-x}
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@Article{CVM23-VAN-Guo, 
  author="Meng-Hao Guo and Cheng-Ze Lu and Zheng-Ning Liu and Ming-Ming Cheng and Shi-Min Hu", 
  title="Visual attention network", 
  journal="Computational Visual Media", 
  year="2023", 
  volume=" ", 
  number=" ", 
  pages=" ", 
  doi="10.1007/s41095-023-0364-2", 
}
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@ARTICLE{21PAMI-Sal100K,
  author={Ming-Ming Cheng and Shang-Hua Gao and Ali Borji and Yong-Qiang Tan and Zheng Lin and Meng Wang},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
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@inproceedings{GaoEccv20Sal100K,
  title={Highly Efficient Salient Object Detection with 100K Parameters},
  author={Shang-Hua Gao and Yong-Qiang Tan and Ming-Ming Cheng and Chengze Lu and Yunpeng Chen and Shuicheng Yan},
  booktitle = {European Conference on Computer Vision (ECCV)},
  pages = {702-721},
  doi = {10.1007/978-3-030-58539-6_42}, 
  year={2020},
}
@ARTICLE{21TPAMI-OAA,
  author={Jiang, Peng-Tao and Han, Ling-Hao and Hou, Qibin and Cheng, Ming-Ming and Wei, Yunchao},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  title={Online Attention Accumulation for Weakly Supervised Semantic Segmentation},
  year={2022},
  volume={44},
  number={10},
  pages={7062-7077},
  doi={10.1109/TPAMI.2021.3092573}
}
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@ARTICLE{21PAMI-Concealed,
  author={Fan, Deng-Ping and Ji, Ge-Peng and Cheng, Ming-Ming and Shao, Ling},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
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  year={2022},
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@inproceedings{Camouflage20CVPR,
 title={Camouflaged Object Detection},
 author={Deng-Ping Fan and Ge-Peng Ji and Guolei Sun and Ming-Ming Cheng and Jianbing Shen and Ling Shao},
 booktitle={IEEE CVPR},
 pages={2774-2784},
 year={2020},
 doi={10.1109/CVPR42600.2020.00285},
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@ARTICLE{22PAMI-SemanticLine,
  title={Deep Hough Transform for Semantic Line Detection},
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  pages = {4793-4806},
  doi = {10.1109/TPAMI.2021.3077129},
  volume={44},
  number={9},
  year={2022},
}

 

@inproceedings{HanEccv20SemLine,
  title={Deep Hough Transform for Semantic Line Detection},
  author={Qi Han and Kai Zhao and Jun Xu and Ming-Ming Cheng},
  booktitle = {European Conference on Computer Vision (ECCV)},
  pages = {249-265},
  doi = {10.1007/978-3-030-58545-7_15},
  year={2020},
}

 

@ARTICLE{pami21CoSal, 
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  number={8}, 
  pages={4339-4354}, 
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}
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  year={2022},
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@ARTICLE{22PAMI_InsImgDatasetWSIS,
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    title={Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation}, 
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@ARTICLE{wu2022mobilesal,
  author={Wu, Yu-Huan and Liu, Yun and Xu, Jun and Bian, Jia-Wang and Gu, Yu-Chao and Cheng, Ming-Ming},
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  title={MobileSal: Extremely Efficient RGB-D Salient Object Detection}, 
  year={2022},
  volume={44},
  number={12},
  pages={10261-10269},
  doi={10.1109/TPAMI.2021.3134684}
}
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@article{22PAMI-LowLight,
  author={Li, Chongyi and Guo, Chunle and Han, Ling-Hao and Jiang, Jun and Cheng, Ming-Ming and Gu, Jinwei and Loy, Chen Change},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  title={Low-Light Image and Video Enhancement Using Deep Learning: A Survey},
  year={2022},
  volume={44},
  number={12},
  pages={9396-9416},
  doi={10.1109/TPAMI.2021.3126387}
}









									

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@article{liu2021semantic,
  title={Semantic Edge Detection with Diverse Deep Supervision},
  author={Liu, Yun and Cheng, Ming-Ming and Fan, Deng-Ping and Zhang, Le and Bian, Jia-Wang and Tao, Dacheng},
  journal={International Journal of Computer Vision},
  pages={179–198},
  volume={130},
  year={2022},
  publisher={Springer}
}







									

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@ARTICLE{wu2022edn,
  author={Wu, Yu-Huan and Liu, Yun and Zhang, Le and Cheng, Ming-Ming and Ren, Bo},
  journal={IEEE Transactions on Image Processing}, 
  title={EDN: Salient Object Detection via Extremely-Downsampled Network}, 
  year={2022},
  volume={31},
  number={},
  pages={3125-3136},
  doi={10.1109/TIP.2022.3164550}
}




							

		

	


			

			
				
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@inproceedings{liCvpr22vInpainting,
title={Towards An End-to-End Framework for Flow-Guided Video Inpainting},
author={Zhen Li and Cheng-Ze Lu and Qin Jianhua and Chun-Le Guo and Ming-Ming Cheng},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
year={2022}
}



									

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@inproceedings{zhangCvpr22ContinuSSeg,
  title={Representation Compensation Networks for Continual Semantic Segmentation},
  author={Chang-Bin Zhang and Jiawen Xiao and Xialei Liu and Yingcong Chen and Ming-Ming Cheng},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2022}
}



									

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@inproceedings{lin2022focuscut,
  title={FocusCut: Diving into a Focus View in Interactive Segmentation},
  author={Lin, Zheng and Duan, Zheng-Peng and Zhang, Zhao and Guo, Chun-Le and Cheng, Ming-Ming},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2022}
}



									

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@inproceedings{Jiang2022L2G,


  title={L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation},


  author={Peng-Tao Jiang and Yuqi Yang and Qibin Hou and Yunchao Wei},


  booktitle={IEEE CVPR},


  year={2022}


}





									

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@Article{GuoCvm19AttentionSurvey,
  author="Meng-Hao Guo and Tian-Xing Xu and Jiang-Jiang Liu and Zheng-Ning Liu and Peng-Tao Jiang and Tai-Jiang Mu and Song-Hai Zhang and Ralph R. Martin and Ming-Ming Cheng and Shi-Min Hu",
  title="Attention mechanisms in computer vision: A survey",
  journal="Computational Visual Media",
  year="2022",
  volume="8",
  number="3",
  pages="331-368",
  doi="10.1007/s41095-022-0271-y",
}



									

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@inproceedings{lin2022KinfeCut,


  title={KnifeCut: Refining Thin Part Segmentation with Cutting Lines},


  author={Zheng Lin and Zheng-Peng Duan and Zhao Zhang and Chun-Le Guo and Ming-Ming Cheng},


  booktitle={ACM Multimedia},


  year={2022}


}





									

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@inproceedings{guo2022SegNeXt,


  title={SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation},


  author={Meng-Hao Guo and Cheng-Ze Lu and Qibin Hou and Zheng-Ning Liu and Ming-Ming Cheng and Shi-Min Hu},


  booktitle={NeurIPS},


  year={2022}


}





									

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@inproceedings{liu2022ltCIL,


  title={Long-Tailed Class Incremental Learning},


  author={Xialei Liu and Yu-Song Hu and Xu-Sheng Cao and Andrew D. Bagdanov and Ke Li and Ming-Ming Cheng},


  booktitle={ECCV},


  year={2022}


}





									

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@ARTICLE{21SC_WebSegE,
    author={侯淇彬 and 韩凌昊 and 刘姜江 and 程明明},
    journal={中国科学：信息科学}, 
    title={互联网图像驱动的语义分割自主学习}, 
    year={2021},
    volume={51},
    number={7},
    pages={1084-1099},
    doi={10.1360/SSI-2020-0146},
}

@ARTICLE{21SC_WebSeg,
    author={Qibin Hou and Linghao Han and Ming-Ming Cheng},
    journal={Sci Sin Inform}, 
    title={Autonomous Learning of Semantic Segmentation from Internet Images (in Chinese)}, 
    year={2021},
    volume={51},
    number={7},
    pages={1084-1099},
    doi={10.1360/SSI-2020-0146},
}


 



							

		

	


			
			
		
	

	

		

			

									


@article{21SC-EmeasureCN,
  author = {范登平 and 季葛鹏 and 秦雪彬 and 程明明},
  title = {认知规律启发的物体分割评价标准及损失函数},
  journal = {中国科学：信息科学},
  year = {2021},
  pages = {1475-1489},
  volume={51},
  number={9},
  doi = {https://doi.org/10.1360/SSI-2020-0370}
}

@article{21SC-Emeasure,
  author = {Dengping Fan and Gepeng Ji and Xuebin Qin and Ming-Ming Cheng},
  title = {Cognitive Vision Inspired Object Segmentation Metric and Loss Function},
  journal = {SCIENTIA SINICA Informationis},
  pages = {1475--1489},
  volume = {51},
  number = {9},
  doi = "https://doi.org/10.1360/SSI-2020-0370",
}





							

		

	


			
			
		
	

	

		

			

									
@article{Cheng2021sMeasure,
  title={Structure-measure: A New Way to Evaluate Foreground Maps},
  author={Ming-Ming Cheng and Deng-Ping Fan},
  journal={International Journal of Computer Vision (IJCV)},
  year={2021},
  volume={129},
  number={9},
  pages={2622-2638},
  doi = {10.1007/s11263-021-01490-8},
}



							

		

	


			

			
				
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@ARTICLE{pami21Res2net, 
  author={Shang-Hua Gao and Ming-Ming Cheng and Kai Zhao and Xin-Yu Zhang and Ming-Hsuan Yang and Philip Torr}, 
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Res2Net: A New Multi-scale Backbone Architecture}, 
  year={2021}, 
  volume={43}, 
  number={2}, 
  pages={652-662}, 
  doi={10.1109/TPAMI.2019.2938758}, 
}


 



							

		

	


			
			
		
	

	

		

			

									
@ARTICLE{wang2021revisiting, 
	author={Wenguan Wang and Jianbing Shen and Jianwen Xie and Ming-Ming Cheng and Haibing Ling and Ali Borji}, 
	journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
	title={Revisiting Video Saliency Prediction in the Deep Learning Era}, 
	year={2021}, 
	volume={43}, 
	number={1}, 
	pages={220-237}, 
	doi={10.1109/TPAMI.2019.2924417}, 
}

@inproceedings{wang2018revisiting, 
	title={Revisiting Video Saliency: A Large-scale Benchmark and a New Model}, 
	author={Wang, Wenguan and Shen, Jianbing and Guo, Fang and Cheng, Ming-Ming and Borji, Ali}, 
	booktitle={IEEE Conference on Computer Vision and Pattern Recognition}, 
	year={2018}, 
}


 



							

		

	


			
			
		
	

	

		

			

									
@ARTICLE{20DnclRegression, 
    author={Le Zhang and Zenglin Shi and Ming-Ming Cheng  and Yun Liu and Jia-Wang Bian and Joey Tianyi Zhou and Guoyan Zheng and Zeng Zeng}, 
    journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
    title={Nonlinear Regression via Deep Negative Correlation Learning},  
    year={2021},
    volume={43},
    number={3},
    pages={982-998},
    doi={10.1109/TPAMI.2019.2943860}, 
}


 



							

		

	


			
			
		
	

	

		

			

									
@article{Zhang2020OrderlessReID,
    author  = {Le Zhang and Zenglin Shi and Joey Tianyi Zhou and Ming-Ming Cheng and
               Yun Liu and Jia-Wang Bian and Zeng Zeng and Chunhua Shen},
    title   = {Ordered or Orderless: A Revisit for Video based Person Re-Identification},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    year    = {2021},
    volume={43}, 
    number={4}, 
    pages={1460-1466},
    doi={10.1109/TPAMI.2020.2976969}, 
}



							

		

	


			
			
		
	

	

		

			

									
@ARTICLE{21TipSAMNet,
  author={Yun Liu and Xin-Yu Zhang and Jia-Wang Bian and Le Zhang and Ming-Ming Cheng},
  journal={IEEE Transactions on Image Processing}, 
  title={SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection}, 
  year={2021},
  volume={30},
  number={},
  pages={3804-3814},
  doi={10.1109/TIP.2021.3065239}
}



							

		

	


			
			
		
	

	

		

			

									
@ARTICLE{21TIP-SalIns,
  author={Yu-Huan Wu and Yun Liu and Le Zhang and Wang Gao and Ming-Ming Cheng},
  journal={IEEE Transactions on Image Processing}, 
  title={Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation}, 
  year={2021},
  volume={30},
  number={},
  pages={3897-3907},
  doi={10.1109/TIP.2021.3065822}
}



							

		

	


			
			
		
	

	

		

			

									
@ARTICLE{21TIP_JCS,
  author={Yu-Huan Wu and Shang-Hua Gao and Jie Mei and Jun Xu and Deng-Ping Fan and Rong-Guo Zhang and Ming-Ming Cheng},
  journal={IEEE Transactions on Image Processing}, 
  title={JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation}, 
  year={2021},
  volume={30},
  number={},
  pages={3113-3126},
  doi={10.1109/TIP.2021.3058783}
}



							

		

	


			
			
		
	

	

		

			

									
@ARTICLE{21TIP-SGNet,
  author={Lin-Zhuo Chen and Zheng Lin and Ziqin Wang and Yong-Liang Yang and Ming-Ming Cheng},
  journal={IEEE Transactions on Image Processing}, 
  title={Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation}, 
  year={2021},
  volume={30},
  number={},
  pages={2313-2324},
  doi={10.1109/TIP.2021.3049332}
}



							

		

	


			
			
		
	

	

		

			

									
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@ARTICLE{21TIP-Road,
  author={Mei, Jie and Li, Rou-Jing and Gao, Wang and Cheng, Ming-Ming},
  journal={IEEE Transactions on Image Processing}, 
  title={CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery}, 
  year={2021},
  volume={30},
  number={},
  pages={8540-8552},
  doi={10.1109/TIP.2021.3117076}
}



									

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@ARTICLE{21TIP-CII,
  author={Liu, Jiang-Jiang and Liu, Zhi-Ang and Peng, Pai and Cheng, Ming-Ming},
  journal={IEEE Transactions on Image Processing}, 
  title={Rethinking the U-Shape Structure for Salient Object Detection}, 
  year={2021},
  volume={30},
  number={},
  pages={9030-9042},
  doi={10.1109/TIP.2021.3122093}
}



									

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@ARTICLE{21TIP_LayerCAM,
  author={Jiang, Peng-Tao and Zhang, Chang-Bin and Hou, Qibin and Cheng, Ming-Ming and Wei, Yunchao},
  journal={IEEE Transactions on Image Processing}, 
  title={LayerCAM: Exploring Hierarchical Class Activation Maps}, 
  year={2021},
  volume={30},
  pages={5875-5888},
  doi={10.1109/TIP.2021.3089943}
}



							

		

	


			

			
				
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@ARTICLE{21TIP_lSmooth,
  author={Zhang, Chang-Bin and Jiang, Peng-Tao and Hou, Qibin and Wei, Yunchao and Han, Qi and Li, Zhen and Cheng, Ming-Ming},
  journal={IEEE Transactions on Image Processing}, 
  title={Delving Deep into Label Smoothing}, 
  year={2021},
  volume={30},
  number={},
  pages={5984-5996},
  doi={10.1109/TIP.2021.3089942}
}



							

		

	


			
			
		
	

	

		

			

									
@article{20TNNLS_RgbdBench,
    author  = {Deng-Ping Fan and Zheng Lin and Zhao Zhang and Menglong Zhu and Ming-Ming Cheng},
    title   = {Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks},
    journal = {IEEE Transactions on Neural Networks and Learning Systems},
    year    = {2020},
    volume={32}, 
    number={5}, 
    pages={2075-2089},
    doi={10.1109/TNNLS.2020.2996406}, 
}


 



							

		

	


			
			
		
	

	

		

			

									
@article{zhou2021rgb,
  title={RGB-D salient object detection: A survey},
  author={Zhou, Tao and Fan, Deng-Ping and Cheng, Ming-Ming and Shen, Jianbing and Shao, Ling},
  journal={Computational Visual Media},
  pages={37--69},
  year={2021},
  volume={7}, 
  number={1}, 
}



							

		

	


			
			
		
	

	

		

			

									
@inproceedings{gu21iNAS,
 title={iNAS: Integral NAS for Device-Aware Salient Object Detection},
 author={Yu-Chao Gu and Shang-Hua Gao and Xu-Sheng Cao and Peng Du and Shao-Ping Lu and Ming-Ming Cheng},
 booktitle={IEEE ICCV},
 year={2021},
}





							

		

	


			

			
				
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@inproceedings{21ICCV-Personalized,
 title={Personalized Image Semantic Segmentation},
 author={Yu Zhang and Chang-Bin Zhang and Peng-Tao Jiang and Feng Mao and Ming-Ming Cheng},
 booktitle={IEEE ICCV},
 year={2021},
}



							

		

	


			

			
				
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@inproceedings{CVPR21-RBN,
  title={Representative Batch Normalization with Feature Calibration},
  author={Shang-Hua Gao and Qi Han and Duo Li and Ming-Ming Cheng and Pai Peng},
  booktitle={IEEE CVPR},
  year={2021}
}


 



							

		

	


			

			
				
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@inproceedings{gu2021dots,
  title={Dots: Decoupling operation and topology in differentiable architecture search},
  author={Gu, Yu-Chao and Wang, Li-Juan and Liu, Yun and Yang, Yi and Wu, Yu-Huan and Lu, Shao-Ping and Cheng, Ming-Ming},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={12311--12320},
  year={2021}
}



							

		

	


			

			
				
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@inproceedings{CVPR21-ST-VSR,
  title={Temporal Modulation Network for Controllable Space-Time Video Super-Resolution},
  author={Gang Xu and Jun Xu and Zhen Li and Liang Wang and Xing Sun and Ming-Ming Cheng},
  booktitle={IEEE CVPR},
  year={2021}
}


 



							

		

	


			

			
				
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@ARTICLE{LiuTIP20_DFI,  
    author={Jiang-Jiang Liu and Qibin Hou and Ming-Ming Cheng},  
    journal={IEEE Transactions on Image Processing},   
    title={Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton},   
    year={2020},  
    volume={29},
    pages={8652-8667},
    doi={10.1109/TIP.2020.3017352},
}


 



							

		

	


			
			
		
	

	

		

			

									
@ARTICLE{20TipNoisyAsClean, 
  author={Jun Xu and Yuan Huang and Ming-Ming Cheng and Li Liu and Fan Zhu and Zhou Xu and Lin Shao}, 
  journal={IEEE Transactions on Image Processing}, 
  title={Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image}, 
  year={2020}, 
  volume={29}, 
  pages={9316-9329}, 
  doi={10.1109/TIP.2020.3026622}, 
}


 


 



							

		

	


			
			
		
	

	

		

			

									
@article{Liu2020RefinedBox,
  title = {{RefinedBox}: Refining for fewer and high-quality object proposals}, 
  author = {Yun Liu and Shijie Li and Ming-Ming Cheng},
  journal = {Neurocomputing},
  year = {2020},
  volume = {406},
  pages={106 - 116}, 
  doi = {10.1016/j.neucom.2020.04.017},
}


 



							

		

	


			
			
		
	

	

		

			

									
@InProceedings{zhang2020gicd,
	title={Gradient-Induced Co-Saliency Detection},
	author={Zhang, Zhao and Jin, Wenda and Xu, Jun and Cheng, Ming-Ming},
	booktitle={European Conference on Computer Vision (ECCV)},
        pages={455--472},
        doi={10.1007/978-3-030-58610-2_27},
	year={2020}
}


 



							

		

	


			
			
		
	

	

		

			

									
@Article{Fan2020S4Net,
  title={S4Net: Single Stage Salient-Instance Segmentation},
  author={Ruochen Fan and Ming-Ming Cheng and Qibin Hou and Tai-Jiang Mu and Jingdong Wang and Shi-Min Hu},
  journal="Computational Visual Media",
  year="2020",
  month="June",
  volume="6",
  number="2",
  pages="191--204",
  doi="10.1007/s41095-020-0173-9",
}

@inproceedings{Fan2019S4Net,
  title={S4Net: Single Stage Salient-Instance Segmentation},
  author={Ruochen Fan and Ming-Ming Cheng and Qibin Hou and Tai-Jiang Mu and Jingdong Wang and Shi-Min Hu},
  booktitle={IEEE CVPR},
  year={2019},
}


 



							

		

	


			
			
		
	

	

		

			

									
@ARTICLE{TIP20_SP_NPR, 
	author={Ming-Ming Cheng and Xiao-Chang Liu and Jie Wang and Shao-Ping Lu and Yu-Kun Lai and Paul L. Rosin}, 
	journal={IEEE Transactions on Image Processing}, 
	title={Structure-Preserving Neural Style Transfer}, 
	year={2020}, 
	volume={29},  
	pages={909-920}, 
	doi={10.1109/TIP.2019.2936746}, 
}


 



							

		

	


			
			
		
	

	

		

			

									
@inproceedings{SCConv20CVPR,
 title={Improving Convolutional Networks with Self-Calibrated Convolutions},
 author={Jiang-Jiang Liu and Qibin Hou and Ming-Ming Cheng and Jiashi Feng and Changhu Wang},
 booktitle={IEEE CVPR},
 year={2020},
 pages={10093-10102},
 doi={10.1109/CVPR42600.2020.01011},
}


 



							

		

	


			
			
		
	

	

		

			

									
@inproceedings{CoSalBench_20CVPR,
 title={Taking a Deeper Look at Co-salient Object Detection},
 author={Deng-Ping Fan and Zheng Lin and Ge-Peng Ji and Dingwen Zhang and Huazhu Fu and Ming-Ming Cheng},
 booktitle={IEEE CVPR},
 year={2020},
 pages={2916-2926},
 doi={10.1109/CVPR42600.2020.00299},
}


 



							

		

	


			
			
		
	

	

		

			

									
@inproceedings{sPool_20CVPR,
 title={Strip Pooling: Rethinking Spatial Pooling for Scene Parsing},
 author={Qibin Hou and Li Zhang and Ming-Ming Cheng and Jiashi Feng},
 booktitle={IEEE CVPR},
 year={2020},
 pages={4002-4011},
 doi={10.1109/CVPR42600.2020.00406},
}


 



							

		

	


			
			
		
	

	

		

			

									
@inproceedings{VecRoad_20CVPR,
 title={VecRoad: Point-based Iterative Graph Exploration for Road Graphs Extraction},
 author={Yong-Qiang Tan and Shanghua Gao and Xuan-Yi Li and Ming-Ming Cheng and Bo Ren},
 booktitle={IEEE CVPR},
 year={2020},
 pages={8907-8915},
 doi={10.1109/CVPR42600.2020.00893},
}


 



							

		

	


			
			
		
	

	

		

			

									
@inproceedings{fClick20CVPR,
 title={Interactive Image Segmentation with First Click Attention},
 author={Zheng Lin and Zhao Zhang and Lin-Zhuo Chen and Ming-Ming Cheng and Shao-Ping Lu},
 booktitle={IEEE CVPR},
 year={2020},
 pages={13336-13345},
 doi={10.1109/CVPR42600.2020.01335},
}


 



							

		

	


			
			
		
	

	

		

			

									
@inproceedings{TB20CVPR,
 title={Rethinking Computer-aided Tuberculosis Diagnosis},
 author={Yun Liu and Yu-Huan Wu and Yunfeng Ban and Huifang Wang and Ming-Ming Cheng},
 booktitle={IEEE CVPR},
 year={2020},
 pages={2643-2652},
 doi={10.1109/CVPR42600.2020.00272},
}


 



							

		

	


			
			
		
	

	

		

			

									
@article{Bian2020GMS,
    title={GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence},
    author={Bian, Jia-Wang and Lin, Wen-Yan and Liu, Yun and Zhang, Le and Yeung, Sai-Kit and Cheng, Ming-Ming Reid, Ian},
    journal={International Journal of Computer Vision (IJCV)},
    year={2020},
    volume={128},
    number={6},
    pages={1580--1593},
    doi = {10.1007/s11263-019-01280-3},
}