World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
15176
World Ranking
2902
National Ranking
109

Overview

Ping Tan is affiliated with Simon Fraser University in Canada and has contributed extensively to the fields of computer science and engineering. Their research focus centers primarily on computer vision and pattern recognition, with significant work addressing advanced vision and imaging challenges, robotics and sensor-based localization, and 3D shape modeling and analysis.

The subfields of study that dominate their research portfolio include:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Computational Mechanics
  • Media Technology
  • Artificial Intelligence

Within the scope of their work, prominent topics covered are:

  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • 3D Shape Modeling and Analysis
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Optical measurement and interference techniques
  • Computer Graphics and Visualization Techniques

Ping Tan has published numerous papers across well-regarded venues in the field. Notable recent publications include:

  • Neural Window Fully-connected CRFs for Monocular Depth Estimation (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Learning Guided Convolutional Network for Depth Completion (2020), published in IEEE Transactions on Image Processing
  • Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially Varying Isotropic Materials (2020), published in IEEE Transactions on Image Processing

The venues where Ping Tan frequently publishes their work include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Image Processing
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Robotics and Automation Letters

Throughout their career, Ping Tan has collaborated with multiple researchers. Frequent coauthors are:

  • Siyu Zhu
  • Weihao Yuan
  • Hongan Wang
  • Shuaicheng Liu
  • Zhaopeng Cui

Best Publications

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

    Zili Yi;Hao Zhang;Ping Tan;Minglun Gong

  • Sketch2Photo: internet image montage

    Tao Chen;Ming-Ming Cheng;Ping Tan;Ariel Shamir

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

    Xiaodong Gu;Zhiwen Fan;Siyu Zhu;Zuozhuo Dai

  • Image-based plant modeling

    Long Quan;Ping Tan;Gang Zeng;Lu Yuan

  • CoSLAM: Collaborative Visual SLAM in Dynamic Environments

    Danping Zou;Ping Tan

  • Bundled camera paths for video stabilization

    Shuaicheng Liu;Lu Yuan;Ping Tan;Jian Sun

  • Richardson-Lucy Deblurring for Scenes under a Projective Motion Path

    Yu-Wing Tai;Ping Tan;M. S. Brown

  • Image-based tree modeling

    Ping Tan;Gang Zeng;Jingdong Wang;Sing Bing Kang

  • CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

    Lizhe Liu;Xiaohao Chen;Siyu Zhu;Ping Tan

  • PanoContext: A Whole-Room 3D Context Model for Panoramic Scene Understanding

    Yinda Zhang;Shuran Song;Ping Tan;Jianxiong Xiao

  • Learning Guided Convolutional Network for Depth Completion

    Jie Tang;Fei-Peng Tian;Wei Feng;Jian Li

  • Batch DropBlock Network for Person Re-Identification and Beyond

    Zuozhuo Dai;Mingqiang Chen;Xiaodong Gu;Siyu Zhu

  • Semantic colorization with internet images

    Alex Yong-Sang Chia;Shaojie Zhuo;Raj Kumar Gupta;Yu-Wing Tai

  • A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo

    Boxin Shi;Zhe Wu;Zhipeng Mo;Dinglong Duan

  • SteadyFlow: Spatially Smooth Optical Flow for Video Stabilization

    Shuaicheng Liu;Lu Yuan;Ping Tan;Jian Sun

  • Image-based façade modeling

    Jianxiong Xiao;Tian Fang;Ping Tan;Peng Zhao

  • A Closed-Form Solution to Retinex with Nonlocal Texture Constraints

    Qi Zhao;Ping Tan;Qiang Dai;Li Shen

  • Single image tree modeling

    Ping Tan;Tian Fang;Jianxiong Xiao;Peng Zhao

  • Highlight removal by illumination-constrained inpainting

    PingTan;Lin;Long Quan;Heung-Yeung Shum

  • A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo

    Boxin Shi;Zhipeng Mo;Zhe Wu;Dinglong Duan

  • BA-Net: Dense Bundle Adjustment Network

    Chengzhou Tang;Ping Tan

Frequent Co-Authors

Long Quan
Long Quan Hong Kong University of Science and Technology
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Boxin Shi
Boxin Shi Peking University
Lu Yuan
Lu Yuan Microsoft (United States)
Hao Zhang
Hao Zhang Simon Fraser University
Jianxiong Xiao
Jianxiong Xiao AutoX, Inc.
Jingdong Wang
Jingdong Wang Baidu (China)
Oliver Wang
Oliver Wang Adobe Systems (United States)
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Yinda Zhang
Yinda Zhang Google (United States)

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