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Ping Tan

Simon Fraser University

MeshMVS: Multi-View Stereo Guided Mesh Reconstruction

Oct 17, 2020
Rakesh Shrestha, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Qingkun Su, Ping Tan


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Interpretable Foreground Object Search As Knowledge Distillation

Jul 22, 2020
Boren Li, Po-Yu Zhuang, Jian Gu, Mingyang Li, Ping Tan

* This paper will appear at ECCV 2020 

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Self-Supervised Human Depth Estimation from Monocular Videos

May 07, 2020
Feitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu, Marc Pollefeys, Ping Tan

* Accepted by IEEE Conference on Computer Vision and Patten Recognition (CVPR), 2020 

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LSM: Learning Subspace Minimization for Low-level Vision

Apr 20, 2020
Chengzhou Tang, Lu Yuan, Ping Tan

* To be presented at CVPR2020 

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End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds

Mar 16, 2020
Lei Li, Siyu Zhu, Hongbo Fu, Ping Tan, Chiew-Lan Tai

* CVPR 2020. Webpage: https://github.com/craigleili/3DLocalMultiViewDesc 

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Channel Equilibrium Networks for Learning Deep Representation

Feb 29, 2020
Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo

* 19 pages, 8 figures 

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Active Lighting Recurrence by Parallel Lighting Analogy for Fine-Grained Change Detection

Feb 22, 2020
Qian Zhang, Wei Feng, Liang Wan, Fei-Peng Tian, Xiaowei Wang, Ping Tan


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Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially Varying Isotropic Materials

Jan 18, 2020
Min Li, Zhenglong Zhou, Zhe Wu, Boxin Shi, Changyu Diao, Ping Tan


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Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching

Dec 18, 2019
Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, Ping Tan


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Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation

Nov 17, 2019
Renjiao Yi, Ping Tan, Stephen Lin

* 27 pages, with supplementary material, to appear in AAAI 2020 

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A Neural Network for Detailed Human Depth Estimation from a Single Image

Oct 03, 2019
Sicong Tang, Feitong Tan, Kelvin Cheng, Zhaoyang Li, Siyu Zhu, Ping Tan


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Learning Guided Convolutional Network for Depth Completion

Aug 03, 2019
Jie Tang, Fei-Peng Tian, Wei Feng, Jian Li, Ping Tan

* Submitted to the IEEE Transactions on Image Processing (TIP) 

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Batch Feature Erasing for Person Re-identification and Beyond

Nov 17, 2018
Zuozhuo Dai, Mingqiang Chen, Siyu Zhu, Ping Tan


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DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

Oct 09, 2018
Zili Yi, Hao Zhang, Ping Tan, Minglun Gong

* Accepted by ICCV 2017 

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Faces as Lighting Probes via Unsupervised Deep Highlight Extraction

Jul 21, 2018
Renjiao Yi, Chenyang Zhu, Ping Tan, Stephen Lin

* 42 pages, with supplementary material, to appear in ECCV 2018 

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BA-Net: Dense Bundle Adjustment Network

Jun 13, 2018
Chengzhou Tang, Ping Tan


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Sparsely Aggregated Convolutional Networks

Apr 16, 2018
Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan


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Active Image-based Modeling with a Toy Drone

Mar 07, 2018
Rui Huang, Danping Zou, Richard Vaughan, Ping Tan

* To be published on International Conference on Robotics and Automation 2018, Brisbane, Australia. Project Page: https://huangrui815.github.io/active-image-based-modeling/ The author's personal page: http://www.sfu.ca/~rha55/ 

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GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion

Oct 19, 2017
Chengzhou Tang, Oliver Wang, Ping Tan

* 3DV 2017 Project Page: https://frobelbest.github.io/gslam 

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Hand3D: Hand Pose Estimation using 3D Neural Network

Apr 07, 2017
Xiaoming Deng, Shuo Yang, Yinda Zhang, Ping Tan, Liang Chang, Hongan Wang


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Joint Hand Detection and Rotation Estimation by Using CNN

Dec 08, 2016
Xiaoming Deng, Ye Yuan, Yinda Zhang, Ping Tan, Liang Chang, Shuo Yang, Hongan Wang


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Attribute Recognition from Adaptive Parts

Jul 18, 2016
Luwei Yang, Ligen Zhu, Yichen Wei, Shuang Liang, Ping Tan

* 11 pages, 6 figures 

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Towards Building an RGBD-M Scanner

Mar 12, 2016
Zhe Wu, Sai-Kit Yeung, Ping Tan


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Linear Global Translation Estimation with Feature Tracks

Sep 04, 2015
Zhaopeng Cui, Nianjuan Jiang, Chengzhou Tang, Ping Tan

* Changes: 1. Adopt BMVC2015 style; 2. Combine sections 3 and 5; 3. Move "Evaluation on synthetic data" out to supplementary file; 4. Divide subsection "Evaluation on general data" to subsections "Experiment on sequential data" and "Experiment on unordered Internet data"; 5. Change Fig. 1 and Fig.8; 6. Move Fig. 6 and Fig. 7 to supplementary file; 7 Change some symbols; 8. Correct some typos 

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