个人简历

2012年博士毕业于清华大学，之后在英国牛津从事计算机视觉研究，并于2014年加入南开大学，2016年破格晋升为正教授。

研究领域

人工智能、计算机视觉、图像视频大数据分析、计算机图形学

近期论文

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.
Improving Convolutional Networks with Self-Calibrated Convolutions, Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Changhu Wang, IEEE CVPR, 2020.
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, 2020.
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing, Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng, IEEE CVPR, 2020.
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, 2020.
Interactive Image Segmentation with First Click Attention, Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu, IEEE CVPR, 2020.
Camouflaged Object Detection, Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao, IEEE CVPR (Oral), 2020.
Rethinking Computer-aided Tuberculosis Diagnosis, Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng, IEEE CVPR (Oral), 2020.
Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection, Yuchao Gu, Yun Liu, Ming-Ming Cheng, Shao-Ping Lu, AAAI, 2020.
Image Formation Model Guided Deep Image Super-Resolution, Jinshan Pan, Deqing Sun, Yang Liu, Jimmy Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang, AAAI, 2020.
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.
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.
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship, Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang, IEEE TIP, 28(8):3973-3985, 2019.
Review of Visual Saliency Detection with Comprehensive Information, Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, Qingming Huang, IEEE TCSVT, 29(10):2941-2959, 2018.
Optimizing the F-measure for Threshold-free Salient Object Detection, Kai Zhao, Shang-Hua Gao, Wenguan Wang, Ming-Ming Cheng, IEEE ICCV, 2019.
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.
Integral Object Mining via Online Attention Accumulation, Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hongkai Xiong, IEEE ICCV, 2019.
Image Inpainting With Learnable Bidirectional Attention Maps, Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding, IEEE ICCV, 2019.