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Research for a better world.

Welcome! I'm Yanwei Li (李彦玮), a 4th year Ph.D student in the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), supervised by Prof. Jiaya Jia and Prof. Liwei Wang. Before that, I obtained the Master degree from Institute of Automation, Chinese Academy of Sciences.

My research interest mainly focus on Computer Vision and Machine Intelligence.
More experiences about me please refer to Publication and my Google Scholar.


The Chinese University of Hong Kong
Fields: Computer Vision
Ph.D, Computer Science and Engineering, 2020 - present.

Institute of Automation, Chinese Academy of Sciences
Fields: Computer Vision
M.Phil, Pattern Recognition and Intelligent System, 2017 - 2020.

Central South University
B.E., Automation & Mechanical Engineering, 2013 - 2017.


NVIDIA Research
Fields: Perception for Autonomous Vehicle.
Research Intern, 2022.06 - 2023.04

Megvii (Face++)
Fields: 2D & 3D Detection and Segmentation.
Research Intern, 2019.01 - 2022.05

Horizon Robotics
Fields: Panoptic Segmentation.
Research Intern, 2018.04 - 2018.12

IBM Research
Fields:Fine-grained Recognition.
Research Intern, 2017.08 - 2018.01


Conference Reviewer:
International Conference on Learning Representations (ICLR).
International Conference on Machine Learning (ICML).
Neural Information Processing Systems (NeurIPS).
IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
IEEE International Conference on Computer Vision (ICCV).
European Conference on Computer Vision (ECCV).
AAAI Conference on Artificial Intelligence (AAAI).

Journal Reviewer:
International Journal of Computer Vision.
IEEE Transactions on Image Processing.
Pattern Recognition.

Academic Talk:
"LLaMA-VID:An Image is Worth 2 Tokens in Large Language Models", MIT/Huawei/Tencent, 2023. [slides]
"Representation for Multi-modality 3D Detection with Transformer", ZhiDongXi, 2022. [slides]
"Towards Fully Convolutional Panoptic Segmentation", ByteDance AI & BAAI, 2021. [slides]
"Dynamic Network and Semantic Segmentation", Paper Weekly, 2020. [slides]
"FPN-based Network for Panoptic Segmentation", ECCV COCO Workshop, 2018. [slides]

Teaching Assistant:
CSCI1580: Visual Programming, Fall, 2022.
ENGG5104: Image Processing and Computer Vision, Spring, 2022.
CSCI1580: Visual Programming, Fall, 2021.
CSCI2100B: Data Structures, Spring, 2021.


Microsoft Fellowship Nomination, 2022
Postgraduate Scholarship, 2020-2024
National Scholarship, 2019
National Scholarship, 2016