Ming-Ming Cheng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
118
Venues
16
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
118 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection. | Yuxuan Li, Xiang Li, Yunheng Li, Yicheng Zhang, Yimian Dai, Qibin Hou, Ming-Ming Cheng, Jian Yang |
| 2026 | AAAI | DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection. | Kang Ni, Minrui Zou, Yuxuan Li, Xiang Li, Kehua Guo, Ming-Ming Cheng, Yimian Dai |
| 2026 | AAAI | Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection. | Xinbin Yuan, Zhaohui Zheng, Yuxuan Li, Xialei Liu, Li Liu, Xiang Li, Qibin Hou, Ming-Ming Cheng |
| 2025 | AAAI | From Words to Worth: Newborn Article Impact Prediction with LLM. | Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, Ying Tai, Jian Yang, Ming-Ming Cheng, Xiang Li |
| 2025 | CVPR | KAC: Kolmogorov-Arnold Classifier for Continual Learning. | Yusong Hu, Zichen Liang, Fei Yang, Qibin Hou, Xialei Liu, Ming-Ming Cheng |
| 2025 | CVPR | Towards RAW Object Detection in Diverse Conditions. | Zhongyu Li, Xin Jin, Bo-Yuan Sun, Chun-Le Guo, Ming-Ming Cheng |
| 2025 | CVPR | A Simple Detector with Frame Dynamics is a Strong Tracker. | Chenxu Peng, Chenxu Wang, Minrui Zou, Danyang Li, Zhengpeng Yang, Yimian Dai, Ming-Ming Cheng, Xiang Li |
| 2025 | CVPR | GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery. | Enguang Wang, Zhimao Peng, Zhengyuan Xie, Fei Yang, Xialei Liu, Ming-Ming Cheng |
| 2025 | CVPR | DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation. | Bowen Yin, Jiao-Long Cao, Ming-Ming Cheng, Qibin Hou |
| 2025 | CVPR | RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark. | Xin Zhang, Xue Yang, Yuxuan Li, Jian Yang, Ming-Ming Cheng, Xiang Li |
| 2025 | ICCV | DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing. | Shengdong Han, Shangdong Yang, Yuxuan Li, Xin Zhang, Xiang Li, Jian Yang, Ming-Ming Cheng, Yimian Dai |
| 2025 | ICCV | Anchor Token Matching: Implicit Structure Locking for Training-Free AR Image Editing. | Taihang Hu, Linxuan Li, Kai Wang, Yaxing Wang, Jian Yang, Ming-Ming Cheng |
| 2025 | ICCV | VisualCloze: A Universal Image Generation Framework via Visual in-Context Learning. | Zhong-Yu Li, Ruoyi Du, Juncheng Yan, Le Zhuo, Zhen Li, Peng Gao, Zhanyu Ma, Ming-Ming Cheng |
| 2025 | ICCV | Unbiased Region-Language Alignment for Open-Vocabulary Dense Prediction. | Yunheng Li, Yuxuan Li, Quan-Sheng Zeng, Wenhai Wang, Qibin Hou, Ming-Ming Cheng |
| 2025 | ICCV | Advancing Textual Prompt Learning with Anchored Attributes. | Zheng Li, Yibing Song, Ming-Ming Cheng, Xiang Li, Jian Yang |
| 2025 | ICCV | TAR3D: Creating High-Quality 3D Assets Via Next-Part Prediction. | Xuying Zhang, Yutong Liu, Yangguang Li, Renrui Zhang, Yufei Liu, Kai Wang, Wanli Ouyang, Zhiwei Xiong, Peng Gao, Qibin Hou, Ming-Ming Cheng |
| 2025 | ICCV | Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment. | Shi-Chen Zhang, Yunheng Li, Yu-Huan Wu, Qibin Hou, Ming-Ming Cheng |
| 2025 | ICCV | AR-1-to-3: Single Image to Consistent 3D Object via Next-View Prediction. | Xuying Zhang, Yupeng Zhou, Kai Wang, Yikai Wang, Zhen Li, Shaohui Jiao, Daquan Zhou, Qibin Hou, Ming-Ming Cheng |
| 2025 | ICLR | Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation. | Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie |
| 2025 | ICLR | Re-Aligning Language to Visual Objects with an Agentic Workflow. | Yuming Chen, Jiangyan Feng, Haodong Zhang, Lijun Gong, Feng Zhu, Rui Zhao, Qibin Hou, Ming-Ming Cheng, Yibing Song |
| 2025 | ICLR | InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration. | Senmao Li, Kai Wang, Joost van de Weijer, Fahad Shahbaz Khan, Chun-Le Guo, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng |
| 2025 | ICLR | One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt. | Tao Liu, Kai Wang, Senmao Li, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng |
| 2024 | AAAI | Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning. | Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng |
| 2024 | CVPR | Generative Multi-modal Models are Good Class-Incremental Learners. | Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng |
| 2024 | CVPR | Traffic Scene Parsing Through the TSP6K Dataset. | Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen |
| 2024 | CVPR | PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding. | Zhen Li, Mingdeng Cao, Xintao Wang, Zhongang Qi, Ming-Ming Cheng, Ying Shan |
| 2024 | CVPR | Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning. | Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng |
| 2024 | CVPR | CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. | Boyuan Sun, Yuqi Yang, Le Zhang, Ming-Ming Cheng, Qibin Hou |
| 2024 | CVPR | CrossKD: Cross-Head Knowledge Distillation for Object Detection. | Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou |
| 2024 | CVPR | TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes. | Xuying Zhang, Bowen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng |
| 2024 | ECCV | Towards Stable 3D Object Detection. | Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou |
| 2024 | ICLR | DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. | Bowen Yin, Xuying Zhang, Zhong-Yu Li, Li Liu, Ming-Ming Cheng, Qibin Hou |
| 2024 | ICML | Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. | Yunheng Li, Zhong-Yu Li, Quan-Sheng Zeng, Qibin Hou, Ming-Ming Cheng |
| 2024 | IJCAI | Let's Start Over: Retraining with Selective Samples for Generalized Category Discovery. | Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng |
| 2024 | SiggraphA | NeuSmoke: Efficient Smoke Reconstruction and View Synthesis with Neural Transportation Fields. | Jiaxiong Qiu, Ruihong Cen, Zhong Li, Han Yan, Ming-Ming Cheng, Bo Ren |
| 2023 | CVPR | AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. | Zhen Li, Zuo-Liang Zhu, Linghao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Endpoints Weight Fusion for Class Incremental Semantic Segmentation. | Jia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, Ming-Ming Cheng |
| 2023 | CVPR | Multi-Space Neural Radiance Fields. | Ze-Xin Yin, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren |
| 2023 | ICCV | Masked Diffusion Transformer is a Strong Image Synthesizer. | Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan |
| 2023 | ICCV | Large Selective Kernel Network for Remote Sensing Object Detection. | Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li |
| 2023 | ICCV | Masked Autoencoders are Efficient Class Incremental Learners. | Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng |
| 2023 | ICCV | SLAN: Self-Locator Aided Network for Vision-Language Understanding. | Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Ming-Ming Cheng |
| 2023 | ICCV | SRFormer: Permuted Self-Attention for Single Image Super-Resolution. | Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou |
| 2022 | BMVC | Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis. | Shijie Li, Ming-Ming Cheng, Jrgen Gall |
| 2022 | CVPR | FocusCut: Diving into a Focus View in Interactive Segmentation. | Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chun-Le Guo, Ming-Ming Cheng |
| 2022 | CVPR | Towards An End-to-End Framework for Flow-Guided Video Inpainting. | Zhen Li, Chengze Lu, Jianhua Qin, Chun-Le Guo, Ming-Ming Cheng |
| 2022 | CVPR | Representation Compensation Networks for Continual Semantic Segmentation. | Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng |
| 2022 | CVPR | Localization Distillation for Dense Object Detection. | Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Ming-Ming Cheng |
| 2022 | ECCV | VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder. | Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng |
| 2022 | ECCV | Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks. | Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu |
| 2022 | ECCV | Long-Tailed Class Incremental Learning. | Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng |
| 2022 | ICLR | On the Connection between Local Attention and Dynamic Depth-wise Convolution. | Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang |
| 2021 | AISTATS | Semi-Supervised Learning with Meta-Gradient. | Taihong Xiao, Xin-Yu Zhang, Hao-Lin Jia, Ming-Ming Cheng, Ming-Hsuan Yang |
| 2021 | CVPR | Representative Batch Normalization With Feature Calibration. | Shang-Hua Gao, Qi Han, Duo Li, Ming-Ming Cheng, Pai Peng |
| 2021 | CVPR | Global2Local: Efficient Structure Search for Video Action Segmentation. | Shang-Hua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng |
| 2021 | CVPR | DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. | Yuchao Gu, Lijuan Wang, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng |
| 2021 | CVPR | Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. | Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng |
| 2021 | ICCV | iNAS: Integral NAS for Device-Aware Salient Object Detection. | Yuchao Gu, Shang-Hua Gao, Xu-Sheng Cao, Peng Du, Shao-Ping Lu, Ming-Ming Cheng |
| 2021 | ICCV | Personalized Image Semantic Segmentation. | Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming Cheng, Feng Mao |
| 2021 | UAI | Structured sparsification with joint optimization of group convolution and channel shuffle. | Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang |
| 2020 | AAAI | Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection. | Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, Shao-Ping Lu |
| 2020 | AAAI | Image Formation Model Guided Deep Image Super-Resolution. | Jinshan Pan, Yang Liu, Deqing Sun, Jimmy S. J. Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang |
| 2020 | CVPR | Camouflaged Object Detection. | Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao |
| 2020 | CVPR | Taking a Deeper Look at Co-Salient Object Detection. | Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng |
| 2020 | CVPR | Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. | Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng |
| 2020 | CVPR | Interactive Image Segmentation With First Click Attention. | Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu |
| 2020 | CVPR | Improving Convolutional Networks With Self-Calibrated Convolutions. | Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng |
| 2020 | CVPR | Rethinking Computer-Aided Tuberculosis Diagnosis. | Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng |
| 2020 | CVPR | VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction. | Yong-Qiang Tan, Shanghua Gao, Xuan-Yi Li, Ming-Ming Cheng, Bo Ren |
| 2020 | ECCV | Highly Efficient Salient Object Detection with 100K Parameters. | Shanghua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan |
| 2020 | ECCV | Deep Hough Transform for Semantic Line Detection. | Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng |
| 2020 | ECCV | Gradient-Induced Co-Saliency Detection. | Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng |
| 2019 | BMVC | An Evaluation of Feature Matchers for Fundamental Matrix Estimation. | Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid |
| 2019 | CVPR | S4Net: Single Stage Salient-Instance Segmentation. | Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu |
| 2019 | CVPR | Shifting More Attention to Video Salient Object Detection. | Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen |
| 2019 | CVPR | A Simple Pooling-Based Design for Real-Time Salient Object Detection. | Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang |
| 2019 | CVPR | Multi-Level Context Ultra-Aggregation for Stereo Matching. | Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang, Deng-Ping Fan, Yue Liu, Yongtian Wang |
| 2019 | CVPR | An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection. | Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao |
| 2019 | CVPR | IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition. | Xiaoping Wu, Chi Zhan, Yu-Kun Lai, Ming-Ming Cheng, Jufeng Yang |
| 2019 | CVPR | Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection. | Jiaxing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li, Le Zhang |
| 2019 | CVPR | RegularFace: Deep Face Recognition via Exclusive Regularization. | Kai Zhao, Jingyi Xu, Ming-Ming Cheng |
| 2019 | ICCV | Scoot: A Perceptual Metric for Facial Sketches. | Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji |
| 2019 | ICCV | Integral Object Mining via Online Attention Accumulation. | Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hongkai Xiong |
| 2019 | ICCV | Joint Acne Image Grading and Counting via Label Distribution Learning. | Xiaoping Wu, Ni Wen, Jie Liang, Yu-Kun Lai, Dongyu She, Ming-Ming Cheng, Jufeng Yang |
| 2019 | ICCV | Image Inpainting With Learnable Bidirectional Attention Maps. | Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding |
| 2019 | ICCV | Zero-Shot Emotion Recognition via Affective Structural Embedding. | Chi Zhan, Dongyu She, Sicheng Zhao, Ming-Ming Cheng, Jufeng Yang |
| 2019 | ICCV | Optimizing the F-Measure for Threshold-Free Salient Object Detection. | Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-Ming Cheng |
| 2019 | ICCV | EGNet: Edge Guidance Network for Salient Object Detection. | Jiaxing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng |
| 2018 | AAAI | Automatic Model Selection in Subspace Clustering via Triplet Relationships. | Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng |
| 2018 | AAAI | Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues. | Jufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng |
| 2018 | AAAI | FLIC: Fast Linear Iterative Clustering With Active Search. | Jiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin |
| 2018 | ACCV | CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System. | Yahui Wang, Shaojun Cai, Shijie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng |
| 2018 | CVPR | Crowd Counting With Deep Negative Correlation Learning. | Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng |
| 2018 | CVPR | Revisiting Video Saliency: A Large-Scale Benchmark and a New Model. | Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji |
| 2018 | ECCV | Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground. | Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu, Shanghua Gao, Qibin Hou, Ali Borji |
| 2018 | ECCV | 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 |
| 2018 | IJCAI | Enhanced-alignment Measure for Binary Foreground Map Evaluation. | Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji |
| 2018 | IJCAI | DEL: Deep Embedding Learning for Efficient Image Segmentation. | Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shijie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng |
| 2018 | IJCAI | Hi-Fi: Hierarchical Feature Integration for Skeleton Detection. | Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng |
| 2018 | ICRA | Direct Line Guidance Odometry. | Shijie Li, Bo Ren, Yun Liu, Ming-Ming Cheng, Duncan P. Frost, Victor Adrian Prisacariu |
| 2018 | IROS | Structured Skip List: A Compact Data Structure for 3D Reconstruction. | Shijie Li, Ming-Ming Cheng, Yun Liu, Shao-Ping Lu, Yahui Wang, Victor Adrian Prisacariu |
| 2018 | VCIP | Multi-scale Spatiotemporal Information Fusion Network for Video Action Recognition. | Yutong Cai, Weiyao Lin, John See, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong |
| 2017 | CVPR | GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence. | JiaWang Bian, Wen-Yan Lin, Yasuyuki Matsushita, Sai-Kit Yeung, Tan-Dat Nguyen, Ming-Ming Cheng |
| 2017 | CVPR | Deeply Supervised Salient Object Detection with Short Connections. | Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr |
| 2017 | CVPR | Richer Convolutional Features for Edge Detection. | Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai |
| 2017 | CVPR | 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 |
| 2017 | ICCV | Structure-Measure: A New Way to Evaluate Foreground Maps. | Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji |
| 2016 | ECCV | HFS: Hierarchical Feature Selection for Efficient Image Segmentation. | Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip H. S. Torr, Shi-Min Hu, Zhuowen Tu |
| 2015 | SIGGRAPH | SemanticPaint: interactive segmentation and learning of 3D worlds. | Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Victor Adrian Prisacariu, Olaf Khler, Carl Yuheng Ren, Anurag Arnab, Stephen L. Hicks, David William Murray, Shahram Izadi, Philip H. S. Torr |
| 2015 | SIGGRAPH | SemanticPaint: interactive segmentation and learning of 3D world. | Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Niener, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr |
| 2014 | CVPR | BING: Binarized Normed Gradients for Objectness Estimation at 300fps. | Ming-Ming Cheng, Ziming Zhang, Wen-Yan Lin, Philip H. S. Torr |
| 2014 | CVPR | Dense Semantic Image Segmentation with Objects and Attributes. | Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr |
| 2014 | ECCV | The Visual Object Tracking VOT2014 Challenge Results. | Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Toms Vojr, Gustavo Fernndez, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Hger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, Joo F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer fjll, 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 |
| 2014 | ECCV | Bilateral Functions for Global Motion Modeling. | Wen-Yan Daniel Lin, Ming-Ming Cheng, Jiangbo Lu, Hongsheng Yang, Minh N. Do, Philip H. S. Torr |
| 2013 | ICCV | Efficient Salient Region Detection with Soft Image Abstraction. | Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel T. Crook |
| 2013 | ICCV | Robust Non-parametric Data Fitting for Correspondence Modeling. | Wen-Yan Lin, Ming-Ming Cheng, Shuai Zheng, Jiangbo Lu, Nigel T. Crook |
| 2011 | CVPR | Global contrast based salient region detection. | Ming-Ming Cheng, Guo-Xin Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu |