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Gang Pan

4 papers here

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

author position
  • last author4

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

fields
  • cs.CV3
  • cs.LG1
ORCID 0000-0003-2155-4689
same name
  • Gang Pan — 28 papers
  • Gang Pan — 10 papers, h 14
  • Gang Pan — 4 papers, h 18
  • Gang Pan — 4 papers
  • Gang Pan — 3 papers, h 49
  • Gang Pan — 1 paper

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 citedLOGO: Video Text Spotting with Language Collaboration and Glyph Perception Model

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

collaborators

4 papers

cs.LG2025

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors

Lang Feng, Jiahao Lin, Dong Xing +3

Population-population generalization is a challenging problem in multi-agent reinforcement learning (MARL), particularly when agents encounter unseen co-players. However, existing…

cs.CV2024

A Framework For Image Synthesis Using Supervised Contrastive Learning

Yibin Liu, Jianyu Zhang, Li Zhang +2

Text-to-image (T2I) generation aims at producing realistic images corresponding to text descriptions. Generative Adversarial Network (GAN) has proven to be successful in this task.…

cs.CV2024

VP-MEL: Visual Prompts Guided Multimodal Entity Linking

Hongze Mi, Jinyuan Li, Xuying Zhang +4

Multimodal entity linking (MEL), a task aimed at linking mentions within multimodal contexts to their corresponding entities in a knowledge base (KB), has attracted much attention…

cs.CV2024★ 1 cited

LOGO: Video Text Spotting with Language Collaboration and Glyph Perception Model

Hongen Liu, Di Sun, Jiahao Wang +2

Video text spotting (VTS) aims to simultaneously localize, recognize and track text instances in videos. To address the limited recognition capability of end-to-end methods, recent…

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