Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDMing-Ming Cheng
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j71]Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu:
Attention mechanisms in computer vision: A survey. Comput. Vis. Media 8(3): 331-368 (2022)- [j70]Yun Liu, Ming-Ming Cheng
, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, Dacheng Tao:
Semantic Edge Detection with Diverse Deep Supervision. Int. J. Comput. Vis. 130(1): 179-198 (2022) - [j69]Yun Liu, Yu-Huan Wu, Peisong Wen, Yujun Shi, Yu Qiu, Ming-Ming Cheng:
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1415-1428 (2022) - [j68]Le Hui, Mingmei Cheng, Jin Xie, Jian Yang, Ming-Ming Cheng:
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition. IEEE Trans. Image Process. 31: 1258-1270 (2022) - [j67]Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng, Bo Ren:
EDN: Salient Object Detection via Extremely-Downsampled Network. IEEE Trans. Image Process. 31: 3125-3136 (2022) - [i89]Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr:
Deeply Explain CNN via Hierarchical Decomposition. CoRR abs/2201.09205 (2022) - [i88]Meng-Hao Guo, Chengze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shimin Hu:
Visual Attention Network. CoRR abs/2202.09741 (2022) - [i87]Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng:
Representation Compensation Networks for Continual Semantic Segmentation. CoRR abs/2203.05402 (2022) - [i86]Zheng Lin, Zhao Zhang, Kang-Rui Zhang, Bo Ren, Ming-Ming Cheng:
Interactive Style Transfer: All is Your Palette. CoRR abs/2203.13470 (2022) - [i85]Zhen Li, Chengze Lu, Jianhua Qin, Chunle Guo, Ming-Ming Cheng:
Towards An End-to-End Framework for Flow-Guided Video Inpainting. CoRR abs/2204.02663 (2022) - [i84]Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng:
Localization Distillation for Object Detection. CoRR abs/2204.05957 (2022) - [i83]Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng:
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder. CoRR abs/2205.06803 (2022) - 2021
- [j66]Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D salient object detection: A survey. Comput. Vis. Media 7(1): 37-69 (2021) - [j65]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian Reid:
Unsupervised Scale-Consistent Depth Learning from Video. Int. J. Comput. Vis. 129(9): 2548-2564 (2021) - [j64]Ming-Ming Cheng, Deng-Ping Fan:
Structure-Measure: A New Way to Evaluate Foreground Maps. Int. J. Comput. Vis. 129(9): 2622-2638 (2021) - [j63]Wenguan Wang, Jianbing Shen, Jianwen Xie, Ming-Ming Cheng, Haibin Ling, Ali Borji:
Revisiting Video Saliency Prediction in the Deep Learning Era. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 220-237 (2021) - [j62]Shanghua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip H. S. Torr:
Res2Net: A New Multi-Scale Backbone Architecture. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 652-662 (2021) - [j61]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Nonlinear Regression via Deep Negative Correlation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 982-998 (2021) - [j60]Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen:
Ordered or Orderless: A Revisit for Video Based Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1460-1466 (2021) - [j59]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Correction to "Nonlinear Regression via Deep Negative Correlation Learning". IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2172 (2021) - [j58]Yun Liu, Yuchao Gu, Xin-Yu Zhang, Weiwei Wang, Ming-Ming Cheng:
Lightweight Salient Object Detection via Hierarchical Visual Perception Learning. IEEE Trans. Cybern. 51(9): 4439-4449 (2021) - [j57]Shao-Ping Lu, Sen-Mao Li, Rong Wang, Gauthier Lafruit, Ming-Ming Cheng, Adrian Munteanu:
Low-Rank Constrained Super-Resolution for Mixed-Resolution Multiview Video. IEEE Trans. Image Process. 30: 1072-1085 (2021) - [j56]Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong:
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Image Process. 30: 1305-1317 (2021) - [j55]Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng:
Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation. IEEE Trans. Image Process. 30: 2313-2324 (2021) - [j54]Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rongguo Zhang, Ming-Ming Cheng:
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. IEEE Trans. Image Process. 30: 3113-3126 (2021) - [j53]Wenda Jin, Jun Xu, Qi Han, Yi Zhang, Ming-Ming Cheng:
CDNet: Complementary Depth Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30: 3376-3390 (2021) - [j52]Yun Liu, Xin-Yu Zhang, Jia-Wang Bian, Le Zhang, Ming-Ming Cheng:
SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection. IEEE Trans. Image Process. 30: 3804-3814 (2021) - [j51]Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng:
Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation. IEEE Trans. Image Process. 30: 3897-3907 (2021) - [j50]Jinghua Wang, Ming-Ming Cheng, Jianmin Jiang:
Domain Shift Preservation for Zero-Shot Domain Adaptation. IEEE Trans. Image Process. 30: 5505-5517 (2021) - [j49]Peng-Tao Jiang, Chang-Bin Zhang, Qibin Hou, Ming-Ming Cheng, Yunchao Wei:
LayerCAM: Exploring Hierarchical Class Activation Maps for Localization. IEEE Trans. Image Process. 30: 5875-5888 (2021) - [j48]Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng:
Delving Deep Into Label Smoothing. IEEE Trans. Image Process. 30: 5984-5996 (2021) - [j47]Jie Mei, Roujing Li, Wang Gao, Ming-Ming Cheng:
CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery. IEEE Trans. Image Process. 30: 8540-8552 (2021) - [j46]Jiang-Jiang Liu, Zhi-Ang Liu, Pai Peng, Ming-Ming Cheng:
Rethinking the U-Shape Structure for Salient Object Detection. IEEE Trans. Image Process. 30: 9030-9042 (2021) - [j45]Xingxu Yao, Dongyu She, Haiwei Zhang, Jufeng Yang, Ming-Ming Cheng, Liang Wang:
Adaptive Deep Metric Learning for Affective Image Retrieval and Classification. IEEE Trans. Multim. 23: 1640-1653 (2021) - [j44]Jun Xu, Zhi-Ang Liu, Yingkun Hou, Xiantong Zhen, Ling Shao, Ming-Ming Cheng:
Pixel-Level Non-local Image Smoothing With Objective Evaluation. IEEE Trans. Multim. 23: 4065-4078 (2021) - [j43]Deng-Ping Fan, Zheng Lin, Zhao Zhang, Menglong Zhu, Ming-Ming Cheng:
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2075-2089 (2021) - [c75]Taihong Xiao, Xin-Yu Zhang, Hao-Lin Jia, Ming-Ming Cheng, Ming-Hsuan Yang:
Semi-Supervised Learning with Meta-Gradient. AISTATS 2021: 73-81 - [c74]Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng:
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. CVPR 2021: 6388-6397 - [c73]Shang-Hua Gao, Qi Han, Duo Li, Ming-Ming Cheng, Pai Peng:
Representative Batch Normalization With Feature Calibration. CVPR 2021: 8669-8679 - [c72]Yuchao Gu, Lijuan Wang, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng:
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. CVPR 2021: 12311-12320 - [c71]Shang-Hua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. CVPR 2021: 16805-16814 - [c70]Yuchao Gu, Shang-Hua Gao, Xu-Sheng Cao, Peng Du, Shao-Ping Lu, Ming-Ming Cheng:
iNAS: Integral NAS for Device-Aware Salient Object Detection. ICCV 2021: 4914-4924 - [c69]Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming Cheng, Feng Mao:
Personalized Image Semantic Segmentation. ICCV 2021: 10529-10539 - [c68]Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang:
Structured sparsification with joint optimization of group convolution and channel shuffle. UAI 2021: 440-450 - [i82]Shanghua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. CoRR abs/2101.00910 (2021) - [i81]Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao:
Concealed Object Detection. CoRR abs/2102.10274 (2021) - [i80]Qianyu Feng, Yunchao Wei, Ming-Ming Cheng, Yi Yang:
Decoupled Spatial Temporal Graphs for Generic Visual Grounding. CoRR abs/2103.10191 (2021) - [i79]Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng:
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. CoRR abs/2104.10642 (2021) - [i78]Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy:
Lighting the Darkness in the Deep Learning Era. CoRR abs/2104.10729 (2021) - [i77]Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. CoRR abs/2105.03053 (2021) - [i76]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth Learning from Video. CoRR abs/2105.11610 (2021) - [i75]Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr:
Large-scale Unsupervised Semantic Segmentation. CoRR abs/2106.03149 (2021) - [i74]Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang:
Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight. CoRR abs/2106.04263 (2021) - [i73]Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng:
P2T: Pyramid Pooling Transformer for Scene Understanding. CoRR abs/2106.12011 (2021) - [i72]Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. CoRR abs/2106.12368 (2021) - [i71]Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Feng Mao, Ming-Ming Cheng:
Personalized Image Semantic Segmentation. CoRR abs/2107.13978 (2021) - [i70]Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu:
Attention Mechanisms in Computer Vision: A Survey. CoRR abs/2111.07624 (2021) - 2020
- [j42]Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu:
S4Net: Single stage salient-instance segmentation. Comput. Vis. Media 6(2): 191-204 (2020) - [j41]Jia-Wang Bian, Wen-Yan Lin, Yun Liu, Le Zhang, Sai-Kit Yeung, Ming-Ming Cheng, Ian Reid:
GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. Int. J. Comput. Vis. 128(6): 1580-1593 (2020) - [j40]Yun Liu, Shijie Li, Ming-Ming Cheng:
Refinedbox: Refining for fewer and high-quality object proposals. Neurocomputing 406: 106-116 (2020) - [j39]Ming-Ming Cheng, Xiao-Chang Liu, Jie Wang, Shao-Ping Lu, Yu-Kun Lai, Paul L. Rosin:
Structure-Preserving Neural Style Transfer. IEEE Trans. Image Process. 29: 909-920 (2020) - [j38]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29: 6288-6301 (2020) - [j37]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng:
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge, and Skeleton. IEEE Trans. Image Process. 29: 8652-8667 (2020) - [j36]Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao:
Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image. IEEE Trans. Image Process. 29: 9316-9329 (2020) - [j35]Dongyu She, Jufeng Yang, Ming-Ming Cheng, Yu-Kun Lai, Paul L. Rosin, Liang Wang:
WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection. IEEE Trans. Multim. 22(5): 1358-1371 (2020) - [j34]Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Self-Paced Balance Learning for Clinical Skin Disease Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2832-2846 (2020) - [c67]Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, Shao-Ping Lu:
Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection. AAAI 2020: 10869-10876 - [c66]Jinshan Pan, Yang Liu, Deqing Sun, Jimmy S. J. Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang:
Image Formation Model Guided Deep Image Super-Resolution. AAAI 2020: 11807-11814 - [c65]Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng:
Rethinking Computer-Aided Tuberculosis Diagnosis. CVPR 2020: 2643-2652 - [c64]Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
Camouflaged Object Detection. CVPR 2020: 2774-2784 - [c63]Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng:
Taking a Deeper Look at Co-Salient Object Detection. CVPR 2020: 2916-2926 - [c62]Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. CVPR 2020: 4002-4011 - [c61]Yong-Qiang Tan, Shanghua Gao, Xuan-Yi Li, Ming-Ming Cheng, Bo Ren:
VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction. CVPR 2020: 8907-8915 - [c60]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng:
Improving Convolutional Networks With Self-Calibrated Convolutions. CVPR 2020: 10093-10102 - [c59]Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu:
Interactive Image Segmentation With First Click Attention. CVPR 2020: 13336-13345 - [c58]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. ECCV (9) 2020: 249-265 - [c57]Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng:
Gradient-Induced Co-Saliency Detection. ECCV (12) 2020: 455-472 - [c56]Shanghua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan:
Highly Efficient Salient Object Detection with 100K Parameters. ECCV (6) 2020: 702-721 - [c55]Wenda Jin, Jun Xu, Ming-Ming Cheng, Yi Zhang, Wei Guo:
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection. NeurIPS 2020 - [i69]Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang:
Model-Agnostic Structured Sparsification with Learnable Channel Shuffle. CoRR abs/2002.08127 (2020) - [i68]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. CoRR abs/2003.04676 (2020) - [i67]Shanghua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan:
Highly Efficient Salient Object Detection with 100K Parameters. CoRR abs/2003.05643 (2020) - [i66]Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. CoRR abs/2003.13328 (2020) - [i65]Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng:
Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation. CoRR abs/2004.04534 (2020) - [i64]Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng:
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. CoRR abs/2004.07054 (2020) - [i63]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng:
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton. CoRR abs/2004.08595 (2020) - [i62]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. CoRR abs/2004.11373 (2020) - [i61]Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng:
Gradient-Induced Co-Saliency Detection. CoRR abs/2004.13364 (2020) - [i60]Kai Zhao, Xin-Yu Zhang, Qi Han, Ming-Ming Cheng:
Dependency Aware Filter Pruning. CoRR abs/2005.02634 (2020) - [i59]Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall:
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. CoRR abs/2006.09220 (2020) - [i58]Shipeng Fu, Zhen Li, Jun Xu, Ming-Ming Cheng, Gwanggil Jeon, Xiaomin Yang:
Interactive Knowledge Distillation. CoRR abs/2007.01476 (2020) - [i57]Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen:
Re-thinking Co-Salient Object Detection. CoRR abs/2007.03380 (2020) - [i56]Xin-Yu Zhang, Hao-Lin Jia, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang:
Semi-Supervised Learning with Meta-Gradient. CoRR abs/2007.03966 (2020) - [i55]Xiao-Chang Liu, Xuan-Yi Li, Ming-Ming Cheng, Peter Hall:
Geometric Style Transfer. CoRR abs/2007.05471 (2020) - [i54]Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D Salient Object Detection: A Survey. CoRR abs/2008.00230 (2020) - [i53]Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng:
Regularized Densely-connected Pyramid Network for Salient Instance Segmentation. CoRR abs/2008.12416 (2020) - [i52]Yuchao Gu, Le Zhang, Yun Liu, Shao-Ping Lu, Ming-Ming Cheng:
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow. CoRR abs/2009.00303 (2020) - [i51]Yuchao Gu, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng:
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. CoRR abs/2010.00969 (2020) - [i50]Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He:
LID 2020: The Learning from Imperfect Data Challenge Results. CoRR abs/2010.11724 (2020) - [i49]Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng:
Delving Deep into Label Smoothing. CoRR abs/2011.12562 (2020) - [i48]Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong:
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images. CoRR abs/2011.13144 (2020) - [i47]Jiang-Jiang Liu, Zhi-Ang Liu, Ming-Ming Cheng:
Centralized Information Interaction for Salient Object Detection. CoRR abs/2012.11294 (2020) - [i46]Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng:
EDN: Salient Object Detection via Extremely-Downsampled Network. CoRR abs/2012.13093 (2020) - [i45]Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng:
MobileSal: Extremely Efficient RGB-D Salient Object Detection. CoRR abs/2012.13095 (2020)
2010 – 2019
- 2019
- [j33]Ming-Ming Cheng, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, Philip H. S. Torr:
BING: Binarized normed gradients for objectness estimation at 300fps. Comput. Vis. Media 5(1): 3-20 (2019) - [j32]Ali Borji, Ming-Ming Cheng, Qibin Hou, Huaizu Jiang, Jia Li:
Salient object detection: A survey. Comput. Vis. Media 5(2): 117-150 (2019) - [j31]Huaizu Jiang, Ming-Ming Cheng, Shi-Jie Li, Ali Borji, Jingdong Wang:
Joint salient object detection and existence prediction. Frontiers Comput. Sci. 13(4): 778-788 (2019) - [j30]Bo Ren, Jia-Cheng Wu, Ya-Lei Lv, Ming-Ming Cheng, Shao-Ping Lu:
Geometry-Aware ICP for Scene Reconstruction from RGB-D Camera. J. Comput. Sci. Technol. 34(3): 581-593 (2019) - [j29]Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply Supervised Salient Object Detection with Short Connections. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 815-828 (2019) - [j28]Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, Jinhui Tang:
Richer Convolutional Features for Edge Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1939-1946 (2019) - [j27]Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, Qingming Huang:
Review of Visual Saliency Detection With Comprehensive Information. IEEE Trans. Circuits Syst. Video Technol. 29(10): 2941-2959 (2019) - [j26]Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Simultaneous Subspace Clustering and Cluster Number Estimating Based on Triplet Relationship. IEEE Trans. Image Process. 28(8): 3973-3985 (2019) - [c54]Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid:
An Evaluation of Feature Matchers for Fundamental Matrix Estimation. BMVC 2019: 25 - [c53]