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20182026
most citedAOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection

16 citations · 30 across the 7 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains

Xinyue Cai, Chaoyou Fu, Yi-Fan Zhang +2

Current automated pipelines for audio-visual Question Answering (QA) generally adopt a ``video-caption-QA'' paradigm. However, these methods typically segment videos into short cli…

cs.CV2026

VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video Understanding

Ruoliu Yang, Chu Wu, Caifeng Shan +2

Long video understanding remains challenging for multimodal large language models (MLLMs) due to limited context windows, which necessitate identifying sparse query-relevant video…

cs.CV2026

Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion

Lijiang Li, Zuwei Long, Yunhang Shen +6

While recent multimodal large language models (MLLMs) have made impressive strides, they predominantly employ a conventional autoregressive architecture as their backbone, leaving…

cs.CV202312 cited

Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis

Linsen Song, Wayne Wu, Chaoyou Fu +2

Existing automated dubbing methods are usually designed for Professionally Generated Content (PGC) production, which requires massive training data and training time to learn a per…

cs.CV20212 cited

Everything's Talkin': Pareidolia Face Reenactment

Linsen Song, Wayne Wu, Chaoyou Fu +3

We present a new application direction named Pareidolia Face Reenactment, which is defined as animating a static illusory face to move in tandem with a human face in the video. For…

cs.CV2021

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification

Chaoyou Fu, Yibo Hu, Xiang Wu +3

Visible-Infrared person re-identification (VI-ReID) aims to match cross-modality pedestrian images, breaking through the limitation of single-modality person ReID in dark environme…