collaborators

9 papers

cs.CV2026

Video-HolmesV2: Can MLLMs Reason with Spatio-Temporal Audio-Visual Evidence in Long Videos?

Zhaoyang Wei, Zipeng Wang, Yushe Cao +10

Multimodal Large Language Models have demonstrated impressive video understanding, yet their ability to reason over long-form narratives is often masked by visual-centric evaluatio…

cs.CV2026

Long-Tail Adaptive Flow Matching with Explicit Conditional Consistency Guidance for Precise Multimodal Face Synthesis

Yushe Cao, Xuechao Zou, Xing Xi +3

Although diffusion-based methods have substantially improved the controllability of multimodal face synthesis, their semantic alignment remains suboptimal because most existing app…

cs.CV2026

LiveVVT: High-Fidelity Video Virtual Try-On in Real Time

Yushe Cao, Shikun Feng, Ruxiang Duan +4

Diffusion-based Video Virtual Try-On (VVT) achieves high visual fidelity through bidirectional spatio-temporal modeling, but complete-clip dependence incurs prohibitive latency and…

cs.CV2026

UniVVT: A Unified End-to-End Framework for High-Fidelity Video Virtual Try-on

Yushe Cao, Shikun Feng, Fei Shen +5

Video Virtual Try-On (VVT) synthesizes a video of a person wearing a target garment while preserving identity, motion, and scene dynamics. Dominant approaches cast VVT as mask-cond…

cs.CV2026

LaP-Forensics: Latent-Pixel Consistency Guided Multimodal Reasoning for Deepfake Detection

Can Wang, Yuhao Wang, Yushe Cao +2

Recent generative models can produce images with few obvious visual artifacts, weakening detectors and explanations that rely only on surface appearance. We present LaP-Forensics,…

cs.CV2025

Multivariate Diffusion Transformer with Decoupled Attention for High-Fidelity Mask-Text Collaborative Facial Generation

Yushe Cao, Dianxi Shi, Xing Fu +5

While significant progress has been achieved in multimodal facial generation using semantic masks and textual descriptions, conventional feature fusion approaches often fail to ena…

cs.LG2025

Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation

Zixi Wang, Yushe Cao, Yubo Huang +4

In this paper, we propose a new method called Self-Training with Dynamic Weighting (STDW), which aims to enhance robustness in Gradual Domain Adaptation (GDA) by addressing the cha…

cs.CV2025

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation

Xuechao Zou, Shun Zhang, Xing Fu +6

Controllable face generation poses critical challenges in generative modeling due to the intricate balance required between semantic controllability and photorealism. While existin…

cs.CV2025

IMAGHarmony: Controllable Image Editing with Consistent Object Quantity and Layout

Fei Shen, Yutong Gao, Jian Yu +2

Despite advances in diffusion-based image editing, manipulating multi-object scenes remains challenging. Existing approaches often achieve semantic changes at the expense of struct…