World's Best Scientists 2026 revealed!
Baoquan Chen

Baoquan Chen

D-Index & Metrics

Computer Science

D-Index
67
Citations
14892
World Ranking
2231
National Ranking
308

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to spatial data visualization

Overview

Baoquan Chen is affiliated with Peking University in China and has a significant research portfolio primarily focused on computer science and engineering. Their work is centered around computer vision and pattern recognition, computational mechanics, and computer graphics and computer-aided design, with additional contributions in control and systems engineering and artificial intelligence.

The scientist's main research topics include:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Human Pose and Action Recognition
  • Human Motion and Animation
  • Robotics and Sensor-Based Localization
  • Generative Adversarial Networks and Image Synthesis

Baoquan Chen has published extensively in well-regarded venues. Their frequent publication outlets include:

  • arXiv (Cornell University) with 47 publications
  • ACM Transactions on Graphics with 24 publications
  • Computer Graphics Forum with 8 publications
  • IEEE Transactions on Visualization and Computer Graphics with 4 publications
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) with 3 publications

Some of the recent papers authored in collaboration with other researchers are:

  • "DO-Conv: Depthwise Over-Parameterized Convolutional Layer," 2022, IEEE Transactions on Image Processing
  • "Unpaired motion style transfer from video to animation," 2020, ACM Transactions on Graphics
  • "Rhythmic Gesticulator," 2022, ACM Transactions on Graphics
  • "MotioNet," 2020, ACM Transactions on Graphics
  • "CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent co-authorship includes collaborations with:

  • Xingyu Ni
  • Daniel Cohen-Or
  • Qingnan Fan
  • Xuelin Chen
  • Libin Liu

Baoquan Chen was awarded the IEEE Fellow in 2020 for contributions to spatial data visualization.

Best Publications

  • PointCNN: convolution on Χ -transformed points

    Yangyan Li;Rui Bu;Mingchao Sun;Wei Wu

  • Apparatus and Method for Real-Time Volume Processing and Universal Three-Dimensional Rendering

    Arie E. Kaufman;Ingmar Bitter;Frank Dachille;Kevin Kreeger

  • Knowledge and heuristic-based modeling of laser-scanned trees

    Hui Xu;Nathan Gossett;Baoquan Chen

  • Build-to-last: strength to weight 3D printed objects

    Lin Lu;Andrei Sharf;Haisen Zhao;Yuan Wei

  • L1-medial skeleton of point cloud

    Hui Huang;Shihao Wu;Daniel Cohen-Or;Minglun Gong

  • Automatic reconstruction of tree skeletal structures from point clouds

    Yotam Livny;Feilong Yan;Matt Olson;Baoquan Chen

  • A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing

    Qingnan Fan;Jiaolong Yang;Gang Hua;Baoquan Chen

  • Skeleton-aware networks for deep motion retargeting

    Kfir Aberman;Peizhuo Li;Dani Lischinski;Olga Sorkine-Hornung

  • Synthesizing Training Images for Boosting Human 3D Pose Estimation

    Wenzheng Chen;Huan Wang;Yangyan Li;Hao Su

  • Active co-analysis of a set of shapes

    Yunhai Wang;Shmulik Asafi;Oliver van Kaick;Hao Zhang

  • Attentive Moment Retrieval in Videos

    Meng Liu;Xiang Wang;Liqiang Nie;Xiangnan He

  • Visual clustering in parallel coordinates

    Hong Zhou;Xiaoru Yuan;Huamin Qu;Weiwei Cui

  • Cross-modal Moment Localization in Videos

    Meng Liu;Xiang Wang;Liqiang Nie;Qi Tian

  • GRAINS: Generative Recursive Autoencoders for INdoor Scenes

    Manyi Li;Akshay Gadi Patil;Kai Xu;Siddhartha Chaudhuri

  • SmartBoxes for interactive urban reconstruction

    Liangliang Nan;Andrei Sharf;Hao Zhang;Daniel Cohen-Or

  • DO-Conv: Depthwise Over-parameterized Convolutional Layer.

    Jinming Cao;Yangyan Li;Mingchao Sun;Ying Chen

  • Apparatus and method for real-time volume processing and universal 3d rendering

    Arie E. Kaufman;Ingmar Bitter;Baoquan Chen;Frank Dachille

  • Fit and diverse: set evolution for inspiring 3D shape galleries

    Kai Xu;Hao Zhang;Daniel Cohen-Or;Baoquan Chen

  • Multiresolution tetrahedral framework for visualizing regular volume data

    Yong Zhou;Baoquan Chen;Arie Kaufman

  • Inverse Procedural Modelling of Trees

    O. Stava;S. Pirk;J. Kratt;B. Chen

  • Non-local scan consolidation for 3D urban scenes

    Qian Zheng;Andrei Sharf;Guowei Wan;Yangyan Li

  • PointCNN: Convolution On $\mathcal{X}$-Transformed Points

    Yangyan Li;Rui Bu;Mingchao Sun;Wei Wu

Frequent Co-Authors

Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University
Dani Lischinski
Dani Lischinski Hebrew University of Jerusalem
Hao Zhang
Hao Zhang Simon Fraser University
Hui Huang
Hui Huang Shenzhen University
Kai Xu
Kai Xu National University of Defense Technology
Oliver Deussen
Oliver Deussen University of Konstanz
Arie E. Kaufman
Arie E. Kaufman Stony Brook University
Chi-Wing Fu
Chi-Wing Fu Chinese University of Hong Kong
Niloy J. Mitra
Niloy J. Mitra University College London
Gang Hua
Gang Hua Dolby (United States)

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