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Wen-Huang Cheng

8 papers hereh-index 215 citations8 works total

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

author position
  • middle author3
  • last author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.AI2
  • cs.MM1
same name
  • Wen-Huang Cheng — 15 papers, h 7
  • Wen-Huang Cheng — 14 papers, h 37
  • Wen-Huang Cheng — 5 papers, h 4
  • Wen-Huang Cheng — 5 papers, h 2
  • Wen-Huang Cheng — 4 papers, h 1
  • Wen-Huang Cheng — 2 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

collaborators

4 papers

cs.CV2025

TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models

Harold Haodong Chen, Disen Lan, Wen-Jie Shu +10

The rapid evolution of video generative models has shifted their focus from producing visually plausible outputs to tackling tasks requiring physical plausibility and logical consi…

cs.CV2025

TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection

Jian-Yu Jiang-Lin, Kang-Yang Huang, Ling Zou +11

Advances in generative modeling have made it increasingly easy to fabricate realistic portrayals of individuals, creating serious risks for security, communication, and public trus…

cs.AI2025

MindPower: Enabling Theory-of-Mind Reasoning in VLM-based Embodied Agents

Ruoxuan Zhang, Qiyun Zheng, Zhiyu Zhou +7

Theory of Mind (ToM) refers to the ability to infer others' mental states, such as beliefs, desires, and intentions. Current vision-language embodied agents lack ToM-based decision…

cs.CV2025

From Prompt to Progression: Taming Video Diffusion Models for Seamless Attribute Transition

Ling Lo, Kelvin C. K. Chan, Wen-Huang Cheng +1

Existing models often struggle with complex temporal changes, particularly when generating videos with gradual attribute transitions. The most common prompt interpolation approach…

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