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Wei Pang

10 papers hereh-index 326 citations14 works total

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

author position
  • middle author5
  • last author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CY2
  • cs.AI1
  • cs.CL1
  • cs.IR1
  • cs.LG1
same name
  • Wei Pang — 7 papers, h 2
  • Wei Pang — 6 papers, h 2
  • Wei Pang — 6 papers, h 3
  • Wei Pang — 3 papers, h 3
  • Wei Pang — 2 papers, h 4
  • Wei Pang — 2 papers, h 5

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

activity
20242026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Conversational Human Audio-visual Talking Dialogue Generation

Junhao Song, Lluis Guasch, Xilin He +8

Large-scale dyadic interactive audio-visual dialogue (DIAD) datasets provide fundamental data resources for developing humanoid interactive virtual agents and digital humans. Howev…

cs.CV2026

SVAgent: Storyline-Guided Long Video Understanding via Cross-Modal Multi-Agent Collaboration

Zhongyu Yang, Zuhao Yang, Shuo Zhan +3

Video question answering (VideoQA) is a challenging task that requires integrating spatial, temporal, and semantic information to capture the complex dynamics of video sequences. A…

cs.CV2025

InEx: Hallucination Mitigation via Introspection and Cross-Modal Multi-Agent Collaboration

Zhongyu Yang, Yingfang Yuan, Xuanming Jiang +2

Hallucination remains a critical challenge in large language models (LLMs), hindering the development of reliable multimodal LLMs (MLLMs). Existing solutions often rely on human in…

cs.CV2025

Script: Graph-Structured and Query-Conditioned Semantic Token Pruning for Multimodal Large Language Models

Zhongyu Yang, Dannong Xu, Wei Pang +1

The rapid growth of visual tokens in multimodal large language models (MLLMs) leads to excessive memory consumption and inference latency, especially when handling high-resolution…

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