Jinlong Li (李金龙)

PhD Student
Multimedia and Human Understanding Group, MHUG


Email: jinlong.szu@gmail.com; jinlong.li@unitn.it


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

Biography

I am now a 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/4D 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 geometric and physical world, while exploring various domains: Recently, I am actively looking for visiting scholar positions or internships, please do not hesitate to drop me emails.

News

PrePrints

Orthogonal Projection Subspace to Aggregate Online Prior-knowledge for Continual Test-time Adaptation

Jinlong Li, Dong Zhao, Qi Zang, Zequn Jie, Lin Ma, Nicu Sebe.
[Arxiv]

Feature Compression for Vision-Language Models: Query-Driven Encoding in Bandwidth-Constrained Environments

Pingping Zhang, Jinlong Li, Kecheng Chen, Meng Wang, Yuzhi Zhao, Haoliang Li, Sam Kwong, Shiqi Wang.
[Arxiv]

Self-Training for 3D Weakly Supervised Sematic Segmentation via Label Refinement

Xiaoxu Xu, Xuexun Liu, Jinlong Li, yitian yuan, Qiudan Zhang, Lin Ma, Nicu Sebe, Xu Wang
[Arxiv]

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]

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

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

Publications

(* equal contribution, † corresponding author)
 

Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding

Jinlong Li, Cristiano Saltori, Fabio Poiesi, Nicu Sebe.
Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
[Project] [ArXiv Link] [Code]

 

FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation

Dong Zhao, Jinlong Li, Shuang Wang, Mengyao Wu, Qi Zang, Nicu Sebe, Zhun Zhong.
Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
[ArXiv Link] [Code]

 

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)'(23,24,25)
  • International Conference on Machine Learning (ICML)'(23,24,25)
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)'(23,24,25)
  • International Conference on Computer Vision (ICCV)'(23,25)
  • 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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