Selected Publications
Notes: Joint first authors are indicated using #, and corresponding authors using *.
Online Publication
- 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]
2024
- Zone Evaluation: Revealing Spatial Bias in Object Detection, Zhaohui Zheng; Yuming Chen; Qibin Hou; Xiang Li; Ping Wang; Ming-Ming Cheng, IEEE TPAMI, 46(12):8636-8651, 2024. [pdf | code]
- Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition, Qibin Hou, Cheng-Ze Lu, Ming-Ming Cheng*, Jiashi Feng, IEEE TPAMI, 36(12):8274-8283, 2024. [pdf | code]
- Pixel Distillation: Cost-flexible Distillation across Image Sizes and Heterogeneous Networks, Guangyu Guo, Dingwen Zhang, Longfei Han, Nian Liu, Ming-Ming Cheng, Junwei Han, IEEE TPAMI, 36(12):9536-9550, 2024. [pdf| code]
- CamoFormer: Masked Separable Attention for Camouflaged Object Detection, Bowen Yin, Xuying Zhang, Deng-Ping Fan, Shaohui Jiao, Ming-Ming Cheng, Luc Van Gool, Qibin Hou*, IEEE TPAMI, 46(12):10362-10374, 2024. [pdf | code]
- 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]
- 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]
- LSKNet: A Foundation Lightweight Backbone for Remote Sensing, Yuxuan Li, Xiang Li*, Yimain Dai, Qibin Hou, Li Liu, Yongxiang Liu, Ming-Ming Cheng, Jian Yang*, IJCV, 2024. [pdf | code]
- StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation, Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou*, NeurIPS, 2024. [pdf | code]
- SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection, Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang, NeurIPS, 2024. [pdf | code]
- OPUS: Occupancy Prediction Using a Sparse Set, JiaBao Wang#, Zhaojiang Liu#, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou*, Ming-Ming Cheng, NeurIPS, 2024. [pdf | code]
- Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation, Yunheng Li, Zhong-Yu Li, Quansheng Zeng, Qibin Hou*, Ming-Ming Cheng, ICML, 2024. [code | pdf]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 任务属性驱动的图像和视频生成, 李震, 南开大学博士论文,2024。
2023
- 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].
- 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]
- 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]
- 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 ]
- 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]
- 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]
- 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]
- 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 ]
- 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 ]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 复杂场景的自适应视觉感知,高尚华,南开大学博士论文,2023。
- 面向复杂场景的交互式图像分割,林铮,南开大学博士论文,2023。
- 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
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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 ]
- 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]
- 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]
- 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]
- 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。
- 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。
- 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。(2024年度CSIG博士学位论文激励计划)
- 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。
- 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。
- 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。
- 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
- 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]
- 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 ]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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 ]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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
- 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]
- 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 ]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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)]
- 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]
- 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]
- 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)
- 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。
- 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
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- Deep Face Recognition via Exclusive Regularization, Kai Zhao, Jingyi Xu, Ming-Ming Cheng*, IEEE CVPR, 2019. [pdf|bib|code|project]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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)
- 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)
- 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。
- 结构保持的图像风格迁移,刘笑畅,南开大学硕士论文,2019。
2018
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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
- 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]
- 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]
- 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]
- GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature correspondence, Jia-Wang Bian#, Wen-Yan Lin#, Yasuyuki Matsushita, Sai-Kit Yeung, IEEE CVPR, 2017. [project|pdf|bib|code|Youtube] , Ming-Ming Cheng,
- 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]
- Depth-aware Neural Style Transfer, Xiao-Chang Liu, Ming-Ming Cheng*, Yu-Kun Lai, Paul L. Rosin, ACM NPAR, 2017. [pdf|bib|code]
- 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]
- 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]
- 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
- 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]
- 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].
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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%)
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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)
- 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]
- 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]
- 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)
- Connectedness of Random Walk Segmentation. Ming-Ming Cheng*, Guo-Xin Zhang. IEEE TPAMI, 2011. 33(1): p. 200 -202. [pdf|code|bib]
- 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]
- 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]
- 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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