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Jinlong Li

4 papers hereh-index 344 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Jinlong Li — 18 papers, h 13
  • Jinlong Li — 7 papers, h 5
  • Jinlong Li — 7 papers, h 3
  • Jinlong Li — 6 papers, h 4
  • Jinlong Li — 3 papers, h 14
  • Jinlong Li — 3 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most cited3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

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

Jinlong Li, Dong Zhao, Qi Zang +3

Continual Test Time Adaptation (CTTA) is a task that requires a source pre-trained model to continually adapt to new scenarios with changing target distributions. Existing CTTA met…

cs.CV2024★ 1 cited

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

Xiaoxu Xu, Yitian Yuan, Jinlong Li +6

In this paper, we propose 3DSS-VLG, a weakly supervised approach for 3D Semantic Segmentation with 2D Vision-Language Guidance, an alternative approach that a 3D model predicts den…

cs.CV2024

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

Pingping Zhang, Jinlong Li, Kecheng Chen +6

Existing codecs are designed to eliminate intrinsic redundancies to create a compact representation for compression. However, strong external priors from Multimodal Large Language…

cs.CV2024

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

Jinlong Li, Dong Zhao, Zequn Jie +3

Efficient fine-tuning of vision-language models (VLMs) like CLIP for specific downstream tasks is gaining significant attention. Previous works primarily focus on prompt learning t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.