Wei Hu (胡玮)

Assistant Professor, Ph.D. Supervisor

Peking University Boya Young Fellow

Wangxuan Institute of Computer Technology

Peking University, Beijing, China

IEEE Senior Member

Email: forhuwei AT pku DOT edu DOT cn


Research Interests

Graph Signal Processing

Graph-based Machine Learning

Processing, analysis and synthesis for geometric data, images, brain signals, etc.

Education

Doctor of Philosophy: Electrical Engineering Aug. 2015
The Hong Kong University of Science and Technology (HKUST)
PhD supervisor: Prof. Ross D. Murch

 

Bachelor of Science: Electrical Engineering Jun. 2010
University of Science and Technology of China (USTC)

 

Research & Work Experience

Peking University, China Apr. 2017 - Present
Assistant Professor, Ph.D. Supervisor

 

Technicolor, Rennes, France Sept. 2015 – Feb. 2017
Researcher in the Imaging Science Laboratory

 

National Institute of Informatics, Japan Jan. 2012 - Jun. 2015
Student Intern

 

MTrec Research Group, HKUST Sept. 2010 - Aug. 2015
Research Assistant

 

Microsoft Research Asia, China Jul. 2009 - Aug. 2009
Student Intern in Visual Computing Group

 

  • 11/23/2021: 1 TIP paper accepted
  • 11/03/2021: Elected as a member of IEEE Multimedia Signal Processing Technical Committee (MMSP-TC)
  • 09/04/2021: 1 TMM overview paper on "Graph Signal Processing for Geometric Data and Beyond: Theory and Applications" accepted
  • 08/31/2021: 1 TIP paper accepted
  • 08/02/2021: invited to serve as tutorial co-chair for VCIP 2022
  • 07/24/2021: attend APSIPA panel discussion on "Future of Graph Signal Processing”as a panelist
  • 07/23/2021: 1 ICCV paper accepted
  • 07/08/2021: Received the 2021 IEEE Multimedia Rising Star Award-Honorable Mention for outstanding early-stage career achievements in the area of geometric data processing in the graph domain
  • 07/08/2021: Received ICME 21' Outstanding Service Award
  • 07/04/2021: 1 ACM MM paper accepted
  • 06/21/2021: 1 TIP paper accepted
  • 06/21/2021: 1 TPAMI paper accepted
  • 06/21/2021: congratulations for Shitong Luo for “十佳”优秀毕业论文 ("Top Ten Best Undergraduate Thesis")
  • 06/14/2021: our paper "Diffusion Probabilistic Models for 3D Point Cloud Generation" has been selected as CVPR 2021 Best Paper Candidate
  • 06/06/2021: our paper won Best Poster Award in The CAAI International Conference on Artificial Intelligence
  • 05/04/2021: Appointed as Associate Editor for Signal Processing Magazine
  • 04/20/2021: Elevated to the grade of IEEE Senior member
  • 04/15/2021: Appointed as Associate Editor for Transactions on Signal and Information Processing over Networks
  • 04/09/2021: Our ICCV workshop "When Graph Signal Processing meets Computer Vision" is accepted [link] [PDF]
  • 03/24/2021: Appointed as Associate Editor for Frontiers in Signal Processing
  • 03/01/2021: 2 CVPR papers accepted
  • 02/15/2021: congratulations for Shitong Luo who receives an offer from CMU
  • 12/29/2020: 1 TMM paper accepted
  • 12/05/2020: 1 INFOCOM paper accepted
  • 11/24/2020: Appointed Associate Member in MMSP-TC in SPS
  • 11/03/2020: selected as Peking University Boya Young Fellow (北京大学博雅青年学者)
  • 08/13/2020: elected as MSA-TC Member (September 1, 2020 to August 31, 2024)
  • 08/03/2020: 1 TCSVT paper accepted
  • 07/26/2020: 1 ACM MM paper accepted
  • 07/10/2020: our paper "3D Dynamic Point Cloud Inpainting via Temporal Consistency on Graphs" won Best Student Paper Runner Up Award in ICME 2020
  • 07/03/2020: 1 ECCV paper accepted
  • 06/23/2020: serve as an Open Source Chair for ICME 2021
  • 06/22/2020: Xiang Gao won 博士研究生校长奖学金 (2020-2021)
  • 05/30/2020: congratulations for students who receive offers from Cornell Tech, USC, JHU, etc.
  • 05/14/2020: give a talk at 2020 CVPR 论文分享会 [link]
  • 03/06/2020: 3 ICME papers accepted
  • 03/04/2020: 1 INFOCOM demo paper accepted
  • 02/27/2020: Join the Excutive Area Chair Committee for VALSE
  • 02/25/2020: Join the ACM Multimedia 2020 Reproducibility Committee
  • 02/24/2020: 1 CVPR paper accepted
  • 02/18/2020: 1 TSP paper accepted
  • 02/10/2020: 1 ICASSP paper accepted
  • 01/30/2020: invited as an Area Chair for ACM Multimedia 2020
  • 12/09/2019: give a talk at JD on Graph Neural Networks
  • 12/06/2019: invite Prof. Zhu Li for a talk
  • 10/21/2019: special session proposal for ICME 2020 accepted
  • 08/22/2019: Invited to visit Ryerson University, Toronto
  • 08/08/2019-08/23/2019: Invited to visit York University, Toronto, Canada
  • 07/21/2019: give a talk at USTC on "Graph Convolutional Neural Networks: from perspective of graph signal processing" [Slides]
  • 07/02/2019: 2 ACM Multimedia papers accepted
  • 05/01/2019: 1 ICIP paper accepted
  • 03/10/2019: 1 ICME paper accepted
  • 03/08/2019: 1 TIP paper accepted
  • 10/22/2018: attend ACM MM at Seoul, Korea
  • 10/07/2018: attend ICIP at Athens, Greece
  • 09/07/2018: Prof. Chia-Wen Lin visited us and gave a talk
  • 09/06/2018: 1 AAAI paper submitted
  • 09/04/2018: 1 TIP paper submitted
  • 07/02/2018: 1 ACM MM paper accepted
  • 06/29/2018: 1 GlobalSIP paper submitted
  • 06/22/2018: Xiang Gao won 王选奖学金
  • 06/16/2018: 1 BigMM paper accepted
  • 06/14/2018: 2018 CCF-腾讯犀牛鸟基金项目 submitted
  • 05/14/2018 - 05/18/2018: Invited to visit National Institute of Informatics, Tokyo
  • 05/04/2018: 2 ICIP'18 papers accepted
  • 04/27/2018: 1 GSP workshop abstract accepted
  • 04/15/2018: 1 BigMM paper submitted
  • 04/08/2018: 1 ACM MM paper submitted
  • 03/31/2018: 1 GSP workshop abstract submitted
  • 03/19/2018: 1 ACM TOMM paper accepted
  • 03/08/2018: 1 NSFC funding proposal submitted
  • 02/07/2018: 2 ICIP'18 papers submitted
  • 01/30/2018: 1 ICASSP'18 paper accepted
  • 12/15/2017: 1 ICME'18 paper submitted
  • 11/25/2017: MSRA collaborative research proposal accepted
  • 11/06/2017 - 11/10/2017: Invited to visit National Institute of Informatics, Tokyo
  • 10/27/2017: 1 ICASSP'18 paper submitted
  • 10/11/2017: 1 Alibaba Innovative Research (AIR) proposal accepted
  • 09/30/2017: 1 MSRA collaborative research proposal submitted
  • 09/01/2017: One Ph.D. student Xiang Gao and one Master student Zeqing Fu joined our group
  • 08/23/2017: 1 ACM TOMM paper submitted
  • 06/21/2017: 1 MMSP'17 paper accepted
  • 06/15/2017: Selected to be Ph.D. supervisor
  • 04/24/2017: Join Peking University as Assistant Professor

Ph.D. / Master Students

Xiang Gao Daizong Liu Gusi Te Zehua Wang
   
Qianjiang Hu Haolan Chen    

Current Undergraduate Interns

Shitong Luo Bi'an Du Yang Liu Tao Tao
   
Zhimin Zhang Fukang Chen    

Alumni

     
Zeqing Fu      

 

#: corresponding author, *: co-first author

Book Chapter

  • Wei Hu, Siheng Chen, Dong Tian [link]
    Graph Spectral Point Cloud Processing
    Graph Spectral Image Processing, ISTE/Wiley, June 2021.

 

Submitted Journal Papers

  • Daizong Liu, Wei Hu#
    Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification
    submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), November, 2021.

  • Haolan Chen*, Bi'an Du*, Shitong Luo, Wei Hu#
    Deep Point Set Resampling via Gradient Fields
    submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), November, 2021.

  • Xiang Gao, Wei Hu#, Guo-Jun Qi
    Self-Supervised Graph Representation Learning via Topology Transformations
    submitted to IEEE Transactions on Knowledge and Data Engineering (TKDE), May, 2021.

 

Paper Publications

2021

  1. Wenfa Qi, Sirui Guo, Wei Hu#
    Generic Reversible Visible Watermarking Via Regularized Graph Fourier Transform Coding [PDF]
    accepted to IEEE Transactions on Image Processing (TIP), November, 2021.

  2. Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin#, Anthony Vetro
    Graph Signal Processing for Geometric Data and Beyond: Theory and Applications [arXiv]
    accepted to IEEE Transactions on Multimedia, September, 2021.

  3. Gusi Te, Wei Hu#, Yinglu Liu, Hailin Shi, Tao Mei
    Adaptive Graph Representation Learning and Reasoning for Face Parsing [arXiv]
    accepted to IEEE Transactions on Image Processing (TIP), August, 2021.

  4. Haolan Chen, Shitong Luo, Xiang Gao, Wei Hu#
    Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds [PDF]
    accepted to IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021.

  5. Shitong Luo, Wei Hu#
    Score-Based Point Cloud Denoising [PDF]
    International Conference on Computer Vision (ICCV), 2021.

  6. Bi'an Du*, Xiang Gao*, Wei Hu#, Xin Li
    Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning [PDF]
    accepted to ACM International Conference on Multimedia (ACM MM), July, 2021.

  7. Cheng Yang, Gene Cheung#, Wei Hu#
    Signed Graph Metric Learning via Gershgorin Disc Alignment [arXiv] [Code]
    accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), June, 2021.

  8. Wei Hu#, Qianjiang Hu, Zehua Wang, Xiang Gao
    Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance [arXiv]
    accepted to IEEE Transactions on Image Processing (TIP), June, 2021.

  9. Yiming He, Wei Hu#
    3D Hand Pose Estimation via Regularized Graph Representation Learning [PDF] [Best Poster Award]
    accepted to The CAAI International Conference on Artificial Intelligence (CICAI), May, 2021.

  10. Qianjiang Hu, Xiao Wang, Wei Hu#, Guo-Jun Qi#
    AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries [PDF] [Code]
    accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), March, 2021.

  11. Shitong Luo, Wei Hu#
    Diffusion Probabilistic Models for 3D Point Cloud Generation [PDF] [Code] [Best Paper Candidate, 32 out of 7015 submissions]
    accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), March, 2021.

  12. Jiaxiang Tang, Xiang Gao, Wei Hu#
    RGLN: Robust Residual Graph Learning Networks via Similarity-Preserving Mapping on Graphs [PDF]
    accepted to International Conference on Acoustics, Speech, and Signal Processing (ICASSP), January, 2021.

 

2020

  1. Zeqing Fu, Wei Hu#
    Dynamic Point Cloud Inpainting via Spatial-Temporal Graph Learning [PDF] [Invited to the Best Paper Track of TMM]
    accepted to IEEE Transactions on Multimedia, 2020.

  2. Wenquan Xu, Haoyu Song, LinYang Hou, Hui Zheng, Xinggong Zhang, Chuwen Zhang, Wei Hu, Yi Wang, Bin Liu#
    SODA: Similar 3D Object Detection Accelerator at Network Edge for Autonomous Driving
    accepted to INFOCOM, 2020.

  3. Yiqun Xu, Wei Hu#, Shanshe Wang, Xinfeng Zhang, Shiqi Wang, Siwei Ma#, Zongming Guo, Wen Gao
    Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds [PDF]
    accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Aug. 2020.

  4. Xin Wang, Bo Wu, Yueqi Zhong, Wei Hu, Jan Zahálka
    Reproducibility Companion Paper: Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network [PDF]
    ACM International Conference on Multimedia (ACM MM), Seattle, United States, October 2020.

  5. Shitong Luo, Wei Hu#
    Differentiable Manifold Reconstruction for Point Cloud Denoising [PDF] [Code] [Oral, acceptance rate: 8.89%]
    ACM International Conference on Multimedia (ACM MM), Seattle, United States, October 2020.

  6. Gusi Te, Yinglu Liu, Wei Hu#, Hailin Shi, Tao Mei
    Edge-aware Graph Representation Learning and Reasoning for Face Parsing [PDF] [Code]
    European Conference on Computer Vision (ECCV), August 2020.

  7. Jie Li, Cong Zhang, Zhi Liu, Wei Sun, Wei Hu, Qiyue Li
    Narwhal: a DASH-based Point Cloud Video Streaming System over Wireless Networks [PDF]
    IEEE INFOCOM demo, July, Toronto, Canada.

  8. Xiang Gao, Wei Hu#, Zongming Guo
    Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification [PDF] [Oral]
    IEEE International Conference on Multimedia and Expo (ICME), London, July 2020.

  9. Zeqing Fu, Wei Hu#, Zongming Guo
    3D Dynamic Point Cloud Inpainting Via Temporal Consistency on Graphs [PDF] [Best Student Paper Runner Up Award, 5/834 submissions]
    IEEE International Conference on Multimedia and Expo (ICME), London, July 2020.

  10. Gusi Te, Wei Hu#, Zongming Guo
    Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks [PDF]
    IEEE International Conference on Multimedia and Expo (ICME), London, July 2020.

  11. Xiang Gao, Wei Hu#, Guo-Jun Qi
    GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations [PDF] [Code]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, June 2020.

  12. Wei Hu*#, Xiang Gao*, Gene Cheung, Zongming Guo
    Feature Graph Learning for 3D Point Cloud Denoising [PDF] [Code]
    IEEE Transactions on Signal Processing (TSP), May, 2020.

  13. Cheng Yang, Gene Cheung, Wei Hu
    Fast Graph Metric Learning via Gershgorin Disc Alignment [PDF]
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, May 2020.

 

2019

  1. Xiang Gao, Wei Hu#, Jiaxiang Tang, Jiaying Liu, Zongming Guo
    Optimized Skeleton-based Action Recognition via Sparsified Graph Regression [PDF]
    ACM International Conference on Multimedia (ACM MM), Nice, France, Oct. 21-25, 2019.

  2. Ziling Huang, Zheng Wang#, Wei Hu#, Chia-Wen Lin, Shin'Ichi Satoh
    DoT-GNN: Domain-Transferred Graph Neural Network for Group Re-identification [PDF]
    ACM International Conference on Multimedia (ACM MM), Nice, France, Oct. 21-25, 2019.

  3. Ju He, Zeqing Fu, Wei Hu#, Zongming Guo
    Point Cloud Attribute Inpainting in Graph Spectral Domain [PDF] [Oral]
    IEEE International Conference on Image Processing (ICIP), Taiwan, Sept. 22-25, 2019.

  4. Wei Hu*#, Zeqing Fu*#, Zongming Guo
    Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting [PDF]
    IEEE Transactions on Image Processing (TIP), vol. 28, no. 8, pp. 4087-4100, Aug. 2019

  5. Weihong Lin, Xinggong Zhang, Zongming Guo, Wei Hu
    OPV: Bias Correction Based Optimal Probabilistic Viewport-Adaptive Streaming for 360-Degree Video [PDF]
    IEEE International Conference on Multimedia and Expo Workshops (ICMEW), Shanghai, Jul. 8-12, 2019.

  6. Junkun Qi, Wei Hu#, Zongming Guo
    Feature Preserving and Uniformity-Controllable Point Cloud Simplification on Graph [PDF] [Code] [Oral]
    IEEE International Conference on Multimedia and Expo (ICME), Shanghai, Jul. 8-12, 2019.

 

2018

  1. Gusi Te, Wei Hu#, Amin Zheng, Zongming Guo
    RGCNN: Regularized Graph CNN for Point Cloud Segmentation [PDF] [Code]
    ACM International Conference on Multimedia (ACM MM), Seoul, Republic of Korea, Oct. 22-26, 2018.

  2. Xiang Gao, Wei Hu#, Zongming Guo
    Graph-based Point Cloud Denoising [PDF]
    IEEE International Conference on Multimedia Big Data (BigMM), Xi'an, China, Sept. 13-16, 2018.

  3. Weihang Liao, Gene Cheung, Wei Hu
    Path Coding on Geometric Planar Graph for 2D/3D Visual Data Partitioning [PDF]
    IEEE International Conference on Image Processing (ICIP), Athens, Greece, Oct. 7-10, 2018.

  4. Zeqing Fu, Wei Hu#, Zongming Guo
    Point Cloud Inpainting on Graphs from Non-local Self-similarity [PDF]
    IEEE International Conference on Image Processing (ICIP), Athens, Greece, Oct. 7-10, 2018.

  5. Wei Hu, Mozhdeh Seifi, Erik Reinhard
    Over- and Under-Exposure Reconstruction of a Single Plenoptic Capture [PDF]
    ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), vol. 14, no. 2, p. 52, May, 2018.

  6. Yiqun Xu, Wei Hu#, Shanshe Wang#, Xinfeng Zhang, Shiqi Wang, Siwei Ma#, Wen Gao#
    Cluster-Based Point Cloud Coding With Normal Weighted Graph Fourier Transform [PDF]
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Alberta, Canada, Apr. 15-20, 2018

 

Before 2017

  1. Wei Hu, Mozhdeh Seifi, Erik Reinhard
    Optical Center Estimation for Lenslet-based Plenoptic Cameras [PDF]
    IEEE International Workshop on Multimedia Signal Processing, Luton, Oct. 16-18, 2017.

  2. Wei Hu, Gene Cheung, Masato Kazui
    Graph-based Dequantization of Block-Compressed Piecewise Smooth Images [PDF]
    IEEE Signal Processing Letters, vol. 23, no. 2, pp. 242-246, February, 2016. (Patent filed with Samsung Japan.)

  3. Wei Hu, Gene Cheung, Antonio Ortega
    Intra-Prediction and Generalized Graph Fourier Transform for Image Coding [PDF] [Code]
    IEEE Signal Processing Letters, vol. 22, no. 11, pp. 1913-1917, November, 2015.

  4. Yung-Hsuan Chao, Antonio Ortega, Wei Hu, Gene Cheung
    Edge-Adaptive Depth Map Coding with Lifting Transform on Graphs [PDF]
    31st Picture Coding Symposium, Cairns, Australia, May 31 - Jun. 3, 2015.

  5. Wei Hu, Gene Cheung, Antonio Ortega, Oscar C. Au
    Multi-resolution Graph Fourier Transform for Compression of Piecewise Smooth Images [PDF] [Code]
    IEEE Transactions on Image Processing (TIP), vol. 24, no. 1, pp. 419-433, January, 2015.

  6. Jiahao Pang, Gene Cheung, Wei Hu, Oscar C. Au
    Redefining Self-Similarity in Natural Images for Denoising Using Graph Signal Gradient [PDF]
    Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Siem Reap, city of Angkor Wat, Cambodia, Dec. 9-12, 2014.

  7. Rui Ma, Oscar C. Au, Pengfei Wan, Lingfeng Xu, Wenxiu Sun, Wei Hu
    Improved Temporal Psychovisual Modulation for Backward-Compatible Stereoscopic Display [PDF]
    IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, Georgia, USA, Dec. 3-5, 2014.

  8. Wei Hu, Gene Cheung, Xin Li, Oscar C. Au
    Graph-based Joint Denoising and Super-resolution of Generalized Piecewise Smooth Images [PDF] [Top 10% paper award]
    International Conference on Image Processing (ICIP), Paris, France, Oct. 27-30, 2014. (Top 10% paper award.)

  9. Wei Dai, Oscar C. Au, Wenjing Zhu, Pengfei Wan, Wei Hu, Jiantao Zhou
    SSIM-based rate-distortion optimization in H.264 [PDF]
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 4-9, 2014.

  10. Wenxiu Sun, Oscar C. Au, Lingfeng Xu, Yujun Li, Wei Hu
    Seamless View Synthesis through Texture Optimization [PDF]
    IEEE Transactions on Image Processing (TIP), vol. 23, no. 1, pp. 342-355, January, 2014.

  11. Wei Hu, Xin Li, Gene Cheung, Oscar C. Au
    Depth Map Denoising using Graph-based Transform and Group Sparsity [PDF] [Code] [Top 10% paper award]
    IEEE International Workshop on Multimedia Signal Processing, Pula, Italy, Sept. 30 - Oct. 2, 2013. (Top 10% paper award.)

  12. Wei Dai, Oscar C. Au, Wenjing Zhu, Wei Hu, Pengfei Wan, Jiali Li
    A robust interpolation-free approach for sub-pixel accuracy motion estimation [PDF]
    IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, Sept. 15-18, 2013.

  13. Chao Pang, Oscar C. Au, Feng Zou, Xingyu Zhang, Wei Hu, Pengfei Wan
    Optimal dependent bit allocation for AVS intra-frame coding via successive convex approximation [PDF]
    IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, Sept. 15-18, 2013.

  14. Ruobing Zou, Oscar C. Au, Guyue Zhou, Wei Dai, Wei Hu, Pengfei Wan
    Personal photo album compression and management [PDF]
    IEEE International Symposium on Circuits and Systems (ISCAS), Beijing, China, May 19-23, 2013.

  15. Lingfeng Xu, Oscar C. Au, Wenxiu Sun, Jiali Li, Wei Hu, Rui Ma
    Ray-Space based Camera Spacing Correction via Convex Optimization [PDF]
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013.

  16. Wenxiu Sun, Oscar C. Au, Lingfeng Xu, Yujun Li, Wei Hu, Zhiding Yu
    Texture Optimization for Seamless View Synthesis Through Energy Minimization [PDF]
    ACM International Conference on Multimedia (ACM MM), Nara, Japan, Oct. 29 - Nov. 2, 2012.

  17. Wei Hu, Gene Cheung, Xin Li, Oscar C. Au
    Depth Map Compression using Multi-resolution Graph-based Transform for Depth-image-based Rendering [PDF]
    IEEE International Conference on Image Processing (ICIP), Orland, Florida, U.S.A, Sept. 30 - Oct. 3, 2012. (Patent filed.)

  18. Yujun Li, Oscar C. Au, Lingfeng Xu, Wenxiu Sun, Wei Hu
    Inferring Depth from a Pair of Images Captured Using Different Aperture Settings [PDF]
    International Conference on Multimedia Modeling, China, September, 2012.

  19. Wei Hu, Gene Cheung, Xin Li, Oscar C. Au
    Depth Map Super-resolution Using Synthesized View Matching for Depth-image-based Rendering [PDF]
    3rd International Workshop on Hot Topics in 3D (in conjunction with ICME 2012), Melbourne, Australia, July, 2012.

  20. Wei Hu, Oscar C. Au, Lin Sun, Wenxiu Sun, Lingfeng Xu, Yujun Li
    Adaptive Depth Map Filter for Blocking Artifacts Removal and Edge Preserving [PDF]
    IEEE International Symposium on Circuits and Systems (ISCAS), Seoul, Korea, May 20-23, 2012.

 

Funded Research Projects

  1. 国家自然科学基金面上项目,61972009,基于谱图理论的多分辨率图卷积神经网络研究,2020/01-2023/12,59万元,在研,主持

  2. 国家重点研发计划“科技冬奥”重点专项,2019YFF0302900,冰雪项目交互式多维度观赛体验技术与系统-VR 编码与传输平台,2019/10-2022/06,67/546万元,在研,课题骨干(子项目负责人)

  3. 国家重点研发计划,2018YFB1003504,基于异构图计算机的数据管理与分析系统,2018/05-2021/04,25/650万元,在研,课题骨干

  4. 北京市自然科学基金青年项目,4194080,基于图谱论的三维点云重建研究,2019/01-2020/12,10万元,在研,主持

  5. 北京市自然科学基金-海淀原始创新联合基金项目,19L2133,基于三维点云的混合现实个性化骨关节手术模拟重建,2019/12-2022/12,9/28万元,在研,联合主持

  6. 北京大学医学交叉研究种子基金,BMU2018MI016,基于影像的个性化虚拟现实模拟临床手术的研究,2019/01-2019/12,10/20万元,已结题,联合主持

  7. Alibaba Innovation Research,No. XTG201800108,基于图的3D点云压缩,2018/01-2018/12,41万元,已结题,主持

  8. MSRA Collaborative Research, FY18-Research-Sponsorship-029,Graph Neural Networks for 3D Face Anti-spoofing, 2018/01-2018/12,20万元,已结题,主持

  9. 北京大学中央高校基本科研业务费专项,7100601213,点云的高效编码,2017/07-2020/12,40万元,在研,主持

 

Patents

Granted Patents

  1. 胡玮,傅泽卿,郭宗明
    基于局域平滑性和非局域相似性的三维点云修复方法
    2020-10-16,中国,201811610195.6

  2. Wei Hu, Erik Reinhard, Mozhdeh Seifi
    Method and device for obtaining a HDR image by graph signal processing
    2019-07-30, U.S., No. 10366478

  3. Wei Hu, Erik Reinhard, Mozhdeh Seifi
    Method and an electronic device for calibrating a plenoptic camera
    2019-02-19, U.S., No. 10212321

  4. Gene Cheung, Wei Hu
    Encoding device and decoding device for contrast image
    2012-06-21, Japan, JP6188005B2

  5. Wenxiu, Sun, Oscar. C. Au, Lingfeng Xu, Yujun Li, Wei Hu, Lu Wang
    Apparatus, system, and method for temporal domain hole filling based on background modeling for view synthesis
    2012-06-29, U.S., 9235879

Pending Patents

  1. 胡玮,高翔,郭宗明
    一种三维多视图共变表征学习方法及三维物体识别方法
    2021-05-10,中国,202110006861.0

  2. 胡玮,高翔,郭宗明
    一种无监督图拓扑变换共变表征学习的方法和装置
    2021-04-15,中国,202110035423.7

  3. 胡玮,特古斯
    一种基于边缘信息和注意力机制的人脸信息识别方法
    2020-07-21,中国,202010704678.3

  4. 胡玮,杜康晖,郭宗明
    点云配准方法和装置
    2018-12-12,中国,201811508702.5

  5. 胡玮,特古斯,郭宗明
    点云的分割方法、装置及计算机存储介质
    2018-08-16,中国,201810935634.4

  6. 胡玮,傅泽卿,郭宗明
    基于图信号处理的点云修复方法、装置及终端
    2018-04-08,中国,201810306574.X

  7. 胡玮,高翔,郭宗明
    点云噪声的去除方法、去噪系统、计算机设备及存储介质
    2018-02-08,中国,201810128719.1

  8. 马思伟,徐轶群,王苫社,李俊儒,胡玮
    一种基于傅里叶图变换的点云帧内编码方法及装置
    2017-12-21,WIPO, PCT/CN2017/117856
  • Introduction to Computation (A), Teaching Assistant, Fall Semester 2017
  • Graph Signal Processing, Graduate Course, Fall Semester 2018
  • Graph Neural Networks, Graduate Course, Fall Semester 2019
  • Graph Signal Processing, Graduate Course, Fall Semester 2019
  • Graph Neural Networks, Graduate Course, Fall Semester 2020
  • Graph Signal Processing, Graduate Course, Fall Semester 2020

Members of the following Technical Committees

  • IEEE Multimedia Systems & Applications Technical Committee (MSA-TC) Member
  • IEEE Multimedia Signal Processing Technical Committee (MMSP-TC) Member

Chairs for the following Conferences

  • Co-organizer of ICCV 2021 Workshop on "When Graph Signal Processing meets Computer Vision" [link] [PDF]
  • Special Session Co-organizer for International Conference on Image Processing (ICIP) 2021 [link]
  • Open Source Chair for International Conference on Multimedia and Expo (ICME) 2021
  • Area Chair for ACM International Conference on Multimedia (ACM MM) 2020
  • Special Session Co-organizer for International Conference on Multimedia and Expo (ICME) 2020 [link]
  • Area Chair for International Conference on Multimedia and Expo (ICME) 2020
  • Excutive Area Chair for VALSE since 2020
  • Publicity Chair for IEEE International Conference on Multimedia Big Data 2020
  • Session Chair for International Conference on Multimedia and Expo (ICME) 2019
  • Session Chair for IEEE International Conference on Image Processing (ICIP) 2019

Associate Editor for the following Journals

  • Signal Processing Magazine
  • Transactions on Signal and Information Processing over Networks
  • Frontiers in Signal Processing

Reviewer for the following Journals/Conferences

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Signal Processing (TSP)
  • IEEE Transactions on Multimedia (TMM)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Signal Processing Letters (SPL)
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • ACM International Conference on Multimedia (ACM MM)
  • AAAI Conference on Artificial Intelligence (AAAI), PC member
  • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • IEEE International Conference on Image Processing (ICIP)
  • International Conference on Multimedia and Expo (ICME)
  • International Workshop on Multimedia Signal Processing (MMSP)