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Yanwei Fu

14 papers hereh-index 8266 citations16 works total

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

author position
  • middle author6
  • last author7

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV14
same name
  • Yanwei Fu — 125 papers, h 57
  • Yanwei Fu — 20 papers, h 7
  • Yanwei Fu — 16 papers, h 6
  • Yanwei Fu — 15 papers, h 3
  • Yanwei Fu — 12 papers, h 9
  • Yanwei Fu — 12 papers, h 6

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
20212026
most citedCan Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos

3 citations · 5 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

EgoOmniWorld: Unifying Egocentric Understanding via Ego-Action-World Interactions

Songruo Chen, Yuqian Fu, Yu Li +7

Egocentric video understanding spans diverse capabilities, modalities, and evaluation formats, yet these are often studied in isolation despite their tight coupling in real-world i…

cs.CV2026

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering

Yuqian Fu, Tianwen Qian, Yanjun Li +30

EgoCross is a cross-domain egocentric video question answering benchmark designed to evaluate whether multimodal large language models can generalize beyond common daily-life scena…

cs.CV2026

STABLE: Simulation-Ready Tabletop Layout Generation via a Semantics-Physics Dual System

Zhen Luo, Yixuan Yang, Xudong Xu +5

Generating simulation-ready tabletop scenes from task instructions is an intriguing and promising research direction in the field of Embodied AI. However, existing task-to-scene ge…

cs.CV2026

EgoSound: Benchmarking Sound Understanding in Egocentric Videos

Bingwen Zhu, Yuqian Fu, Qiaole Dong +6

Multimodal Large Language Models (MLLMs) have recently achieved remarkable progress in vision-language understanding. Yet, human perception is inherently multisensory, integrating…

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