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2020 – today
- 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]Jiangjiang 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) - [c66]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 - [c65]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 - [c64]Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng:
Rethinking Computer-Aided Tuberculosis Diagnosis. CVPR 2020: 2643-2652 - [c63]Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
Camouflaged Object Detection. CVPR 2020: 2774-2784 - [c62]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 - [c61]Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. CVPR 2020: 4002-4011 - [c60]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 - [c59]Jiangjiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng:
Improving Convolutional Networks With Self-Calibrated Convolutions. CVPR 2020: 10093-10102 - [c58]Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu:
Interactive Image Segmentation With First Click Attention. CVPR 2020: 13336-13345 - [c57]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. ECCV (9) 2020: 249-265 - [c56]Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng:
Gradient-Induced Co-Saliency Detection. ECCV (12) 2020: 455-472 - [c55]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 - [i64]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) - [i63]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. CoRR abs/2003.04676 (2020) - [i62]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) - [i61]Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. CoRR abs/2003.13328 (2020) - [i60]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) - [i59]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) - [i58]Jiangjiang Liu, Qibin Hou, Ming-Ming Cheng:
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton. CoRR abs/2004.08595 (2020) - [i57]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. CoRR abs/2004.11373 (2020) - [i56]Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng:
Gradient-Induced Co-Saliency Detection. CoRR abs/2004.13364 (2020) - [i55]Kai Zhao, Xin-Yu Zhang, Qi Han, Ming-Ming Cheng:
Dependency Aware Filter Pruning. CoRR abs/2005.02634 (2020) - [i54]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) - [i53]Shipeng Fu, Zhen Li, Jun Xu, Ming-Ming Cheng, Gwanggil Jeon, Xiaomin Yang:
Interactive Knowledge Distillation. CoRR abs/2007.01476 (2020) - [i52]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) - [i51]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) - [i50]Xiao-Chang Liu, Xuan-Yi Li, Ming-Ming Cheng, Peter Hall:
Geometric Style Transfer. CoRR abs/2007.05471 (2020) - [i49]Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D Salient Object Detection: A Survey. CoRR abs/2008.00230 (2020) - [i48]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) - [i47]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) - [i46]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) - [i45]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)
2010 – 2019
- 2019
- [j33]Ming-Ming Cheng, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, Philip H. S. Torr:
BING: Binarized normed gradients for objectness estimation at 300fps. Comput. Vis. Media 5(1): 3-20 (2019) - [j32]Ali Borji, Ming-Ming Cheng, Qibin Hou, Huaizu Jiang, Jia Li:
Salient object detection: A survey. Comput. Vis. Media 5(2): 117-150 (2019) - [j31]Huaizu Jiang, Ming-Ming Cheng, Shi-Jie Li, Ali Borji, Jingdong Wang:
Joint salient object detection and existence prediction. Frontiers Comput. Sci. 13(4): 778-788 (2019) - [j30]Bo Ren, Jia-Cheng Wu, Ya-Lei Lv, Ming-Ming Cheng, Shao-Ping Lu:
Geometry-Aware ICP for Scene Reconstruction from RGB-D Camera. J. Comput. Sci. Technol. 34(3): 581-593 (2019) - [j29]Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply Supervised Salient Object Detection with Short Connections. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 815-828 (2019) - [j28]Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, Jinhui Tang:
Richer Convolutional Features for Edge Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1939-1946 (2019) - [j27]Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, Qingming Huang:
Review of Visual Saliency Detection With Comprehensive Information. IEEE Trans. Circuits Syst. Video Technol. 29(10): 2941-2959 (2019) - [j26]Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Simultaneous Subspace Clustering and Cluster Number Estimating Based on Triplet Relationship. IEEE Trans. Image Process. 28(8): 3973-3985 (2019) - [c54]Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid:
An Evaluation of Feature Matchers for Fundamental Matrix Estimation. BMVC 2019: 25 - [c53]Kai Zhao, Jingyi Xu, Ming-Ming Cheng:
RegularFace: Deep Face Recognition via Exclusive Regularization. CVPR 2019: 1136-1144 - [c52]Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang, Deng-Ping Fan, Yue Liu, Yongtian Wang:
Multi-Level Context Ultra-Aggregation for Stereo Matching. CVPR 2019: 3283-3291 - [c51]Jiangjiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang:
A Simple Pooling-Based Design for Real-Time Salient Object Detection. CVPR 2019: 3917-3926 - [c50]Jiaxing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li, Le Zhang:
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection. CVPR 2019: 3927-3936 - [c49]Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao:
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection. CVPR 2019: 5968-5977 - [c48]Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu:
S4Net: Single Stage Salient-Instance Segmentation. CVPR 2019: 6103-6112 - [c47]Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen:
Shifting More Attention to Video Salient Object Detection. CVPR 2019: 8554-8564 - [c46]Xiaoping Wu, Chi Zhan, Yu-Kun Lai, Ming-Ming Cheng, Jufeng Yang:
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition. CVPR 2019: 8787-8796 - [c45]Chi Zhan, Dongyu She, Sicheng Zhao, Ming-Ming Cheng, Jufeng Yang:
Zero-Shot Emotion Recognition via Affective Structural Embedding. ICCV 2019: 1151-1160 - [c44]Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hongkai Xiong:
Integral Object Mining via Online Attention Accumulation. ICCV 2019: 2070-2079 - [c43]Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji:
Scoot: A Perceptual Metric for Facial Sketches. ICCV 2019: 5611-5621 - [c42]Jiaxing Zhao, Jiangjiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng:
EGNet: Edge Guidance Network for Salient Object Detection. ICCV 2019: 8778-8787 - [c41]Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-Ming Cheng:
Optimizing the F-Measure for Threshold-Free Salient Object Detection. ICCV 2019: 8848-8856 - [c40]Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding:
Image Inpainting With Learnable Bidirectional Attention Maps. ICCV 2019: 8857-8866 - [c39]Xiaoping Wu, Ni Wen, Jie Liang, Yu-Kun Lai, Dongyu She, Ming-Ming Cheng, Jufeng Yang:
Joint Acne Image Grading and Counting via Label Distribution Learning. ICCV 2019: 10641-10650 - [c38]Jiawang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. NeurIPS 2019: 35-45 - [i44]Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship. CoRR abs/1901.07689 (2019) - [i43]Yun Liu, Deng-Ping Fan, Guang-Yu Nie, Xinyu Zhang, Vahan Petrosyan, Ming-Ming Cheng:
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection. CoRR abs/1903.12476 (2019) - [i42]Shanghua Gao, Ming-Ming Cheng, Kai Zhao, Xinyu Zhang, Ming-Hsuan Yang, Philip H. S. Torr:
Res2Net: A New Multi-scale Backbone Architecture. CoRR abs/1904.01169 (2019) - [i41]Jiangjiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang:
A Simple Pooling-Based Design for Real-Time Salient Object Detection. CoRR abs/1904.09569 (2019) - [i40]Lin-Zhuo Chen, Xuan-Yi Li, Deng-Ping Fan, Ming-Ming Cheng, Kai Wang, Shao-Ping Lu:
LSANet: Feature Learning on Point Sets by Local Spatial Attention. CoRR abs/1905.05442 (2019) - [i39]Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng:
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. CoRR abs/1906.02494 (2019) - [i38]Deng-Ping Fan, Zheng Lin, Jiaxing Zhao, Yun Liu, Zhao Zhang, Qibin Hou, Menglong Zhu, Ming-Ming Cheng:
Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks. CoRR abs/1907.06781 (2019) - [i37]Jiaxing Zhao, Jiangjiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng:
EGNet: Edge Guidance Network for Salient Object Detection. CoRR abs/1908.08297 (2019) - [i36]Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji:
Scoot: A Perceptual Metric for Facial Sketches. CoRR abs/1908.08433 (2019) - [i35]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Robust Regression via Deep Negative Correlation Learning. CoRR abs/1908.09066 (2019) - [i34]Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid:
An Evaluation of Feature Matchers forFundamental Matrix Estimation. CoRR abs/1908.09474 (2019) - [i33]Jia-Wang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. CoRR abs/1908.10553 (2019) - [i32]Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding:
Image Inpainting with Learnable Bidirectional Attention Maps. CoRR abs/1909.00968 (2019) - [i31]Xin-Yu Zhang, Le Zhang, Zao-Yi Zheng, Yun Liu, Jia-Wang Bian, Ming-Ming Cheng:
AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning. CoRR abs/1911.12110 (2019) - [i30]Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen:
Ordered or Orderless: A Revisit for Video based Person Re-Identification. CoRR abs/1912.11236 (2019) - 2018
- [j25]Jiaxing Zhao, Ren Bo, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin:
FLIC: Fast linear iterative clustering with active search. Comput. Vis. Media 4(4): 333-348 (2018) - [j24]Wen-Yan Lin, Fan Wang, Ming-Ming Cheng, Sai-Kit Yeung, Philip H. S. Torr, Minh N. Do, Jiangbo Lu:
CODE: Coherence Based Decision Boundaries for Feature Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 34-47 (2018) - [j23]Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr:
Sequential Optimization for Efficient High-Quality Object Proposal Generation. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1209-1223 (2018) - [j22]Jufeng Yang, Xiaoxiao Sun, Yu-Kun Lai, Liang Zheng, Ming-Ming Cheng:
Recognition From Web Data: A Progressive Filtering Approach. IEEE Trans. Image Process. 27(11): 5303-5315 (2018) - [j21]Jufeng Yang, Dongyu She, Ming Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions. IEEE Trans. Multim. 20(9): 2513-2525 (2018) - [c37]Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng:
Automatic Model Selection in Subspace Clustering via Triplet Relationships. AAAI 2018: 4358-4365 - [c36]Jufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng:
Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues. AAAI 2018: 7469-7476 - [c35]Jiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin:
FLIC: Fast Linear Iterative Clustering With Active Search. AAAI 2018: 7574-7581 - [c34]Yahui Wang, Shaojun Cai, Shi-Jie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng:
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System. ACCV (6) 2018: 34-49 - [c33]Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji:
Revisiting Video Saliency: A Large-Scale Benchmark and a New Model. CVPR 2018: 4894-4903 - [c32]Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng:
Crowd Counting With Deep Negative Correlation Learning. CVPR 2018: 5382-5390 - [c31]Deng-Ping Fan, Ming-Ming Cheng, Jiangjiang Liu, Shanghua Gao, Qibin Hou, Ali Borji:
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground. ECCV (15) 2018: 196-212 - [c30]Ruochen Fan, Qibin Hou, Ming-Ming Cheng, Gang Yu, Ralph R. Martin, Shi-Min Hu:
Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation. ECCV (9) 2018: 371-388 - [c29]Shi-Jie Li, Bo Ren, Yun Liu, Ming-Ming Cheng, Duncan P. Frost, Victor Adrian Prisacariu:
Direct Line Guidance Odometry. ICRA 2018: 1-7 - [c28]Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji:
Enhanced-alignment Measure for Binary Foreground Map Evaluation. IJCAI 2018: 698-704 - [c27]Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng:
DEL: Deep Embedding Learning for Efficient Image Segmentation. IJCAI 2018: 864-870 - [c26]Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng:
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection. IJCAI 2018: 1191-1197 - [c25]Shi-Jie Li, Ming-Ming Cheng, Yun Liu, Shao-Ping Lu, Yahui Wang, Victor Adrian Prisacariu:
Structured Skip List: A Compact Data Structure for 3D Reconstruction. IROS 2018: 1-7 - [c24]Jufeng Yang, Liyi Chen, Le Zhang, Xiaoxiao Sun, Dongyu She, Shao-Ping Lu, Ming-Ming Cheng:
Historical Context-based Style Classification of Painting Images via Label Distribution Learning. ACM Multimedia 2018: 1154-1162 - [c23]Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng:
Self-Erasing Network for Integral Object Attention. NeurIPS 2018: 547-557 - [c22]Zhiming Chen, Xintong Han, Weiyao Lin, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong:
Pedestrian Detection with a Directly-Cascaded Deconvolution-Convolution Structure. PCM (1) 2018: 370-380 - [c21]Yutong Cai, Weiyao Lin, John See, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong:
Multi-scale Spatiotemporal Information Fusion Network for Video Action Recognition. VCIP 2018: 1-4 - [i29]Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng:
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection. CoRR abs/1801.01849 (2018) - [i28]Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji:
Revisiting Video Saliency: A Large-scale Benchmark and a New Model. CoRR abs/1801.07424 (2018) - [i27]Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, Qingming Huang:
Review of Visual Saliency Detection with Comprehensive Information. CoRR abs/1803.03391 (2018) - [i26]Deng-Ping Fan, Jiangjiang Liu, Shanghua Gao, Qibin Hou, Ali Borji, Ming-Ming Cheng:
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground. CoRR abs/1803.06091 (2018) - [i25]Qibin Hou, Ming-Ming Cheng, Jiangjiang Liu, Philip H. S. Torr:
WebSeg: Learning Semantic Segmentation from Web Searches. CoRR abs/1803.09859 (2018) - [i24]Qibin Hou, Jiangjiang Liu, Ming-Ming Cheng, Ali Borji, Philip H. S. Torr:
Three Birds One Stone: A Unified Framework for Salient Object Segmentation, Edge Detection and Skeleton Extraction. CoRR abs/1803.09860 (2018) - [i23]Yun Liu, Ming-Ming Cheng, Jia-Wang Bian, Le Zhang, Peng-Tao Jiang, Yang Cao:
Semantic Edge Detection with Diverse Deep Supervision. CoRR abs/1804.02864 (2018) - [i22]Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Ming-Ming Cheng, Bo Ren, Rongrong Ji, Paul L. Rosin:
Face Sketch Synthesis Style Similarity: A New Structure Co-occurrence Texture Measure. CoRR abs/1804.02975 (2018) - [i21]Yun Liu, Yujun Shi, JiaWang Bian, Le Zhang, Ming-Ming Cheng, Jiashi Feng:
Learning Pixel-wise Labeling from the Internet without Human Interaction. CoRR abs/1805.07548 (2018) - [i20]Kai Zhao, Shanghua Gao, Qibin Hou, Dandan Li, Ming-Ming Cheng:
Optimizing the F-measure for Threshold-free Salient Object Detection. CoRR abs/1805.07567 (2018) - [i19]Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji:
Enhanced-alignment Measure for Binary Foreground Map Evaluation. CoRR abs/1805.10421 (2018) - [i18]JiaWang Bian, Ruihan Yang, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid, WenHai Wu:
MatchBench: An Evaluation of Feature Matchers. CoRR abs/1808.02267 (2018) - [i17]Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng:
Self-Erasing Network for Integral Object Attention. CoRR abs/1810.09821 (2018) - [i16]Yahui Wang, Shaojun Cai, Shi-Jie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng:
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System. CoRR abs/1811.12633 (2018) - 2017
- [j20]Niloy J. Mitra, Yizhou Yu, Ming-Ming Cheng:
Editorial Special issue on the fifth Computational Visual Media conference (CVM 2017). Graph. Model. 91: 12 (2017) - [j19]