Jinlong Li (李金龙)

First-year PhD Student.
Multimedia and Human Understanding Group, MHUG


Email: jinlong.szu@gmail.com


Pushing a long-termist, strike the tough yet right things.

Biography

I am now a first-year PhD student at the Multimedia and Human Understanding Group (MHUG), under the supervision of Prof. Nicu Sebe. Previously, I worked at MeiTuan as a computer vision scientist, working closely with Dr. Lin Ma and Dr. Zequn Jie, focusing on 2D/3D Label-Efficient Detection and Segmentation. Before that, I obtained my B.Sc (Applied Physics) and M.Sc (Computer Science) degree in Shenzhen University.

Research Interest

I work in the field of Computer Vision and Deep Learning. Recently, I focus on research topics to build machines that can see, reason about, and interact with the physical world, while exploring various domains:

News

PrePrints

When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding

Pingping Zhang, Jinlong Li, Meng Wang, Nicu Sebe, Sam Kwong, Shiqi Wang
[Arxiv]

Orthogonal Adaptation and Online Prior-knowledge Aggregation for Continual Test-time Adaptation

Jinlong Li, Dong Zhao, Qi Zang, ZEQUN JIE, Lin Ma, Nicu Sebe
[Paper Link]

Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Cross-Regularization

Jinlong Li, Zequn Jie, Elisa Ricci, Lin Ma, Nicu Sebe
[Arxiv]

Cross-Modal Uncertainty for Open-Vocabulary 3D Semantic Segmentation

Jinlong Li, Cristiano Saltori, Massimiliano Mancini, Fabio Poiesi, Nicu Sebe
[Paper Link]

Publications

(* equal contribution, † corresponding author)
 

LESS: Label-Efficient and Single-Stage Referring 3D Instance Segmentation

Xuexun Liu*, Xu Xiaoxu*, Jinlong Li*, Qiudan Zhang, Xu Wang, Lin Ma, Nicu Sebe
Neural Information Processing Systems (NeurIPS), 2024.
[ArXiv Link] [Code]

 

Generalized Source-free Domain-adaptive Segmentation via Reliable Knowledge Propagation

Qi Zang, Shuang Wang, Dong Zhao, Yang HU, Dou Quan, Jinlong Li, Nicu Sebe, Zhun Zhong
ACM Multimedia (ACM MM), 2024.
[Paper Link]

 

3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance

Xiaoxu Xu, Yitian Yuan, Jinlong Li, Qiudan Zhang, Zequn Jie, Lin Ma, Hao Tang, Nicu Sebe, Xu Wang
European Conference on Computer Vision (ECCV), 2024.
[ArXiv Link] [Code]

 

Weakly Supervised Semantic Segmentation via Self-Supervised Destruction Learning

Jinlong Li, Zequn Jie, Xu Wang, Yu Zhou, Lin Ma, Jianming Jiang
Neurocomputing (NEUCOM), 2023.

 

Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation

Jinlong Li, Zequn Jie, Xu Wang, Xiaolin Wei, Lin Ma
Neural Information Processing Systems (NeurIPS), Spotlight (1.7%) 2022.
[ArXiv Link] [Code]

 

Weakly Supervised Semantic Segmentation via Progressive Patch Learning

Jinlong Li, Zequn Jie, Xu Wang, Yu Zhou, Xiaolin Wei, Lin Ma
IEEE Transactions on Multimedia (TMM), 2022.
[ArXiv Link] [IEEE Trans Link] [Code]

Experience

  • Research Scientist, MeiTuan Inc.

    2022.07 - 2023.10              

  • Intern, MeiTuan Inc.

    2020.12 - 2022.04            

Services

Journal Reviewer:

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Multimedia (TMM)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

Conference Reviewer:

  • International Conference on Learning Representations (ICLR)'(24,25)
  • Neural Information Processing Systems (NeurIPS)'(23,24)
  • International Conference on Machine Learning (ICML)'(23,24)
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)'(23,24)
  • International Conference on Computer Vision (ICCV)'(23)
  • European Conference on Computer Vision (ECCV)'(24)
  • Association for the Advancement of Artificial Intelligence (AAAI)'(24)

Awards

  • Outstanding student paper award of SZU, 2023
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