Academic
About me
Seeking PostDoct position now, feel free to contact with me via Email (liminghan0330@gmail.com) or Wechat (liminghan0330) !
I am a PhD candidate (near graduated) in the Department of Computing at the Hong Kong Polytechnic University (PolyU), advised by Prof. Lei Zhang.
In 2019, I received my Master’s degree in the School of Mathematics and Statistics at Xi'an JiaoTong University under the supervision of Prof. Deyu Meng.
In 2016, I obtained my Bachelor’s degree in Mathematics at Xinjiang University.
Research Interests
Multimodal foundation models
Image/video detection and segmentation
video rain/snow removal
Work Experience
During 2018.5-2018.9 and 2020.3-2021.11, I worked as a Research Intern in DAMO Academy, Alibaba.
During 2019.5-2019.11, I worked as a research assistant in the Hong Kong Polytechnic University.
Publications
UniVS: Unified and Universal Video Segmentation with Prompts as Queries (CVPR2024)
Minghan LI, Shuai LI, Xindong Zhang, and Lei Zhang
BoxVIS: Video Instance Segmentation with Box Annotations
Minghan LI, and Lei Zhang
MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos (CVPR2023)
One-to-Few Label Assignment for End-to-End Dense Detection (CVPR2023)
Shuai LI, Minghan LI, Ruihuang LI, Chenhang He, and Lei Zhang
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization (CVPR2022 oral)
Yabin Zhang, Minghan LI, Ruihuang LI, Kui Jia, and Lei Zhang
Spatial Feature Calibration and Temporal Fusion for Effective One-Stage Video Instance Segmentation (CVPR2021)
Minghan LI, Shuai LI, Lida LI, and Lei Zhang
Survey on rain removal from videos or a single image (Information sciences 2022)
Hong Wang, Yichen Wu, Minghan LI, Qian Zhao, and Deyu Meng
Online Rain/Snow Removal from Surveillance Videos (TIP2021)
Minghan LI, Xiangyong Cao, Qian Zhao, Lei Zhang and Deyu Meng
Video Rain Streak Removal By Multiscale Convolutional Sparse Coding (CVPR2018)
Minghan LI, Qi Xie, Qian Zhao , Wei Wei , Shuhang Gu, Jing Tao, Deyu Meng
