Publications

Technique reports

  1. Salient Object Detection: A Survey, Ali Borji, Ming-Ming Cheng, Huaizu Jiang, Jia Li, arXiv eprint, 2014.  [pdf] [Project page] [Bib]
  2. 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 page]

2016

  1. Salient Object Detection: A Discriminative Regional Feature Integration Approach, Jingdong Wang,  Huaizu Jiang,  Zejian Yuan,  Ming-Ming Cheng, Xiaowei Hu,  Nanning Zheng, IJCV, 2016. [pdf] [Springer Nature SharedIt]
  2. 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, 2016. [pdf] [Project page] [bib]
  3. Intelligent Visual Media Processing: When Graphics Meets Vision, Ming-Ming Cheng, Qi-Bin Hou, Song-Hai Zhang, Paul L. Rosin, JCST, 2016. [pdf]
  4. 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 page][pdf][bib][C++]
  5. 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] [official version].

2015

  1. Salient Object Detection: A Benchmark, Ali Borji, Ming-Ming Cheng, Huaizu Jiang, Jia Li, IEEE TIP, 24(12), 5706-5722, 2015.  [pdf] [Project page] [Bib] [Official version] [code]
  2. Object Proposal Estimation in Depth Images using Compact 3D Shape Manifolds, S. Zheng, V. Prisacariu, M Averkiou, M. Cheng, N. Mitra, J. Shotton, P. Torr, C. Rother, German Conference on Pattern Recognition (GCPR), 2015. (oral)[pdf][bib]
  3. 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 page] [pdf] [bib] [c++] [Official Version]
  4. SemanticPaint: Interactive 3D Labeling and Lear ning at your Finger tips. 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 page] [bib] [Official Version]
  5. Global Contrast based Salient Region Detection. Ming-Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Philip H. S. Torr, Shi-Min Hu. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 37(3), 569-582, 2015. [pdf] [Project page] [Bib] [official version]
  6. Fast SPH Simulation for Gaseous Fluids, Bo Ren, Xiao Yan, Chen-Feng Li, Tao Yang, Ming C. Lin, and Shi-Min Hu*, The Visual Computer, 2015. [PDF 6.9MB][Video 16.1MB]

2014

  1. Bilateral Functions for Global Motion Modeling, Wen-Yan Lin, Ming-Ming Cheng, Jiangbo Lu, Hongsheng Yang, Minh Do, Philip Torr, ECCV, 2014. [pdf] [bib] [project page]
  2. ImageSpirit: Verbal Guided Image Parsing, Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Vibhav Vineet, Paul Sturgess, Nigel Crook, Niloy Mitra, Philip Torr, ACM Transactions on Graphics (ACM TOG), 2014. [Project page] [Bib] [Pdf] [Supplemental] [Official version]
  3. BING: Binarized Normed Gradients for Objectness Estimation at 300fps, Ming-Ming Cheng, Ziming Zhang, Wen-Yan Lin, Philip H. S. Torr, IEEE International Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 2014, 2386-2393. [Project page][pdf][bib] (Oral, Accept rate: 5.75%)
  4. Multiple-fluid SPH Simulation Using a Mixture Model, Bo Ren, Chen-Feng Li, Xiao Yan, Ming C. Lin, Javier Bonet, and Shi-min Hu*. ACM Transactions on Graphics (ACM TOG), 2014. [PDF 15.5MB][Video 164MB]
  5. Dense Semantic Image Segmentation with Objects and Attributes, S. Zheng, M. Cheng, J. Warrell, P. Sturgess, V. Vineet, C Rother, P. Torr, IEEE International Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 2014, 3214-3221. [Project page][pdf][bib]
  6. 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 page] [bib] [latex] [Official version]
  7. Matej Kristan, et al., The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217 [pdf] [Project page]

2013

  1. Efficient Salient Region Detection with Soft Image Abstraction. Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel Crook. IEEE International Conference on Computer Vision (IEEE ICCV), 2013. [pdf] [Project page] [bib] [latex] [official version]
  2. Robust Non-parametric Data Fitting for Correspondence Modeling, Wen-Yan Lin, Ming-Ming Cheng, Shuai Zheng, Jiangbo Lu, Nigel Crook, IEEE International Conference on Computer Vision (IEEE ICCV), 2013. [Project page] [pdf] [bib] [Official version]
  3. 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] [Official version]
  4. 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 Transactions on Visualization and Computer Graphics (IEEE TVCG), 19(5), 824-837, 2013. [pdf] [bib] [Official version]
  5. Flow Field Modulation, Bo Ren, Chen-Feng Li, Ming C. Lin, Theodore Kim, and Shi-Min Hu*. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2013. [PDF 5.4MB][Video 36.8MB][Supplemental PDF 3.5MB]
  6. View-Dependent Multiscale Fluid Simulation, Yue Gao, Chen-Feng Li, Bo Ren, and Shi-Min Hu*. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2013, Vol. 19, No. 2. [PDF 2.8MB]

2012

  1. 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] (北京市优秀博士论文)
  2. Interactive Images: Cuboid Proxies for Smart Image Manipulation. Youyi Zheng, Xiang Chen, Ming-Ming Cheng, Kun Zhou, Shi-Min Hu, Niloy J. Mitra. ACM Transactions on Graphics (ACM TOG). 31, 4, 1-10, 2012. [pdf] [Project page] [Slides] [Code] [Bib] [Official version]
  3. ImageAdmixture: Putting Together Dissimilar Objects from Groups. Fang-Lue Zhang, Ming-Ming Cheng, Jiaya Jia, Shi-Min Hu. IEEE Transaction on Visualization and Computer Graphics (IEEE TVCG), 18(11), 1849-1857, 2012. [pdf] [bib] [Official version]

2011

  1. Global Contrast based Salient Region Detection. Ming-Ming Cheng, Guo-Xin Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu. IEEE International Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 2011, p. 409-416. [pdf] [Project page] [Bib] [Official version] (2nd most cited paper in CVPR 2011)
  2. Connectedness of Random Walk Segmentation. Ming-Ming Cheng, Guo-Xin Zhang. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2011. 33(1): p. 200 -202. [Pdf] [Matlab] [Bib] [Official version]
  3. Interactive Hair Rendering and Appearance Editing under Environment Lighting, Kun Xu, Li-Qian Ma, Bo Ren, Rui Wang, and Shi-Min Hu*. ACM Transactions on Graphics (ACM TOG), 2011.[PDF 16.8MB]

2010

  1. RepFinder: Finding Approximately Repeated Scene Elements for Image Editing. Ming-Ming Cheng, Fang-Lue Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu. ACM Transactions on Graphics (ACM SIGGRAPH). 29, 4, 83:1-8, 2010. [pdf] [Project page] [Bib] [Official version]

2009

  1. Sketch2Photo: Internet Image Montage. Tao Chen, Ming-Ming Cheng, Ping Tan, Ariel Shamir, Shi-Min Hu. ACM Transactions on Graphics (ACM TOG), 28, 5, 124:1-10, 2009. [pdf] [Project page] [Bib] [Commercial Software] [Official version]
  2. 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] [PPT] [Video] [C++] [Supplemental] [Bib] [Official version]

Notes: IEEE TPAMI is the #1 IEEE publication. ACM TOG is the most-cited ACM Transaction. IEEE TPAMI, ACM TOG, and IEEE TVCG are CCF Tier-A JournalsSIGGRAPH, CVPR, and ICCV are CCF Tier-A Conferences and they have CiteSeer impact factor ranking top 0.7%, top 5%, and top 5% of all computer science journals and conferences respectively.

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