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cs.CV2025

Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking

Zihan Su, Xuerui Qiu, Hongbin Xu +6

The explosive growth of generative video models has amplified the demand for reliable copyright preservation of AI-generated content. Despite its popularity in image synthesis, inv…

cs.CV2025

VSE-MOT: Multi-Object Tracking in Low-Quality Video Scenes Guided by Visual Semantic Enhancement

Jun Du, Weiwei Xing, Ming Li +1

Current multi-object tracking (MOT) algorithms typically overlook issues inherent in low-quality videos, leading to significant degradation in tracking performance when confronted…

cs.CV2025

PVChat: Personalized Video Chat with One-Shot Learning

Yufei Shi, Weilong Yan, Gang Xu +6

Video large language models (ViLLMs) excel in general video understanding, e.g., recognizing activities like talking and eating, but struggle with identity-aware comprehension, suc…

cs.CV2025

Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning

Yan Zhang, Ming Li, Chun Li +3

Evidence-based deep learning represents a burgeoning paradigm for uncertainty estimation, offering reliable predictions with negligible extra computational overheads. Existing meth…

cs.CV2025

Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors

Weilong Yan, Ming Li, Haipeng Li +2

Self-supervised depth estimation from monocular cameras in diverse outdoor conditions, such as daytime, rain, and nighttime, is challenging due to the difficulty of learning univer…

cs.CV2024

EventGPT: Event Stream Understanding with Multimodal Large Language Models

Shaoyu Liu, Jianing Li, Guanghui Zhao +5

Event cameras record visual information as asynchronous pixel change streams, excelling at scene perception under unsatisfactory lighting or high-dynamic conditions. Existing multi…