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Hongsheng Li 李鴻升
Associate Professor |
4 papers accepted to NeurIPS 2023 main and DAB tracks
1 paper accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence
1 paper accepted to Nature Communications
13 papers accepted to ICCV 2023
To serve as an Action Editor for Transactions on Machine Learning Research (TMLR)
To serve as an Area Chair of NeurIPS 2023 Datasets and Benchmarks Track
Awarded 2023 AI 2000 Most Influential Scholar Honorable Mention in Computer Vision
Ph. D., 2008 - 2012, Computer Science, Lehigh University
M. Eng. student, 2006 - 2007, Pattern Recognition and Intelligent System, Shanghai Jiao Tong Universtiy
B. Eng., 2002 - 2006, Automation, East China University of Science and Technology
Associate Professor, Jul. 2022 - Present, Department of Electronic Enigneering, The Chinese University of Hong Kong
Huashan Scholar Chair Professor, Apr. 2020 - Apr. 2023, School of Computer Science and Technology, Xidian University
Assistant Professor, Jul. 2018 - Jun. 2022, Department of Electronic Enigneering, The Chinese University of Hong Kong
Research Assistant Professor, Aug. 2015 - Jun. 2018, Department of Electronic Enigneering, The Chinese University of Hong Kong
Postdoctoral Fellow, Feb. 2014 - Jan. 2015, Department of Electronic Engineering, The Chinese University of Hong Kong
Associate Professor, Jan. 2013 - Jul. 2015, School of Electronic Scicence, University of Electronic Science and Technology of China
2023 AI 2000 Most Influential Scholar Honorable Mention in Computer Vision, 2023
World's Top 2% Scientists named by Stanford University, 2022
2022 AI 2000 Most Influential Scholar Honorable Mention in Computer Vision, 2022
2020 IEEE Circuits and System Society Outstanding Young Author Award, 2020
Winner of ActivityNet Challenge 2020 on Spatio-temporal Action Localization (AVA), 2020
Winner of ImageNet Video Object Detection/Tracking Challenge with provided data, 2016
Winner of ImageNet Video Object Detection Challenge with provided data, 2015
FastFPBP: code of fast CNN for pixelwise classification (arXiv:1412.4526) based on Caffe's original implementation.
PAMI14_ICCV11_matching_demo.zip: demo code for our T-PAMI'14 and ICCV'11 papers.
PAMI13_CVPR10_Matching_v0.1.zip: demo code for our T-PAMI'13 and CVPR'10 papers.