Heng Li
Ph.D. Candidate
Robotics Institute
Dept. of Electronic and Computer Engineering
Hong Kong University of Science and Technology
Clear Water Bay, Sai Kung, Hong Kong SAR
Email: contact [at] hengli [dot] me
GitHub: Links
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Biography
I am a Ph.D Candidate of ECE at HKUST from Feb. 2023. I was a Ph.D Candidate at GrUVi Lab of Simon Fraser University from Sept. 2019 to Jan. 2023. My supervisor is Ping Tan.
My research interest includes 3D vision, deep learning and video coding.
Experiences
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Research Intern | XR Lab, Alibaba | Feb. 2022 - Jan. 2023
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Research Intern | Megvii | Mar. 2021 - Feb. 2022
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Research Assistant | GrUVi Lab, SFU | Sept. 2019 - Jan. 2023
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Teaching Assistant | SFU | Jan. 2020 - Jan. 2021
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Dense RGB SLAM with Neural Implicit Maps
Heng Li,
Xiaodong Gu, Weihao Yuan, Luwei Yang, Zilong Dong, Ping Tan
International Conference on Learning Representations (ICLR), 2023.
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Monocular Scene Reconstruction with 3D SDF Transformers
Weihao Yuan, Xiaodong Gu, Heng Li, Zilong Dong, Siyu Zhu
International Conference on Learning Representations (ICLR), 2023.
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RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging
Heng Li,
Zhaopeng Cui, Shuaicheng Liu, Ping Tan
Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
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End-to-End Rotation Averaging with Multi-Source Propagation
Luwei Yang, Heng Li,
Jamal Ahmed Rahim, Zhaopeng Cui, Ping Tan
Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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Multi-level feature fusion image super-resolution algorithm with recursive neural network
Junchao Tong, Jialuo Fei, Jingsen
Chen, Heng Li, Dandan Ding.
China Media Meeting (ChinaMM), 2018.
Competitions
ACM/ICPC, The ICPC International Collegiate Programming Contest
CCPC, China Collegiate Programming Contest
Lianjia Algorithm Competition
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Lianjia Algorithm Competition, Final list
AStar Programming Contest
China Collegiate Computing Contest
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Group Programming Ladder Tournament, Group First Prize
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Group Programming Ladder Tournament, Collegiate Gold Medal
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Group Programming Ladder Tournament, personal score at TOP 1%