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cs.CV2026

Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection

Tianshuo Zhang, Haoyuan Zhang, Siran Peng +3

Continual face forgery detection (CFFD) requires detectors to learn emerging forgery paradigms without forgetting previously seen manipulations. Existing CFFD methods commonly rely…

cs.CV2025

EEA: Exploration-Exploitation Agent for Long Video Understanding

Te Yang, Xiangyu Zhu, Bo Wang +3

Long-form video understanding requires efficient navigation of extensive visual data to pinpoint sparse yet critical information. Current approaches to longform video understanding…

cs.CV2025

STAvatar: Soft Binding and Temporal Density Control for Monocular 3D Head Avatars Reconstruction

Jiankuo Zhao, Xiangyu Zhu, Zidu Wang +1

Reconstructing high-fidelity and animatable 3D head avatars from monocular videos remains a challenging yet essential task. Existing methods based on 3D Gaussian Splatting typicall…

cs.CV2025

Towards Realistic Hand-Object Interaction with Gravity-Field Based Diffusion Bridge

Miao Xu, Xiangyu Zhu, Xusheng Liang +3

Existing reconstruction or hand-object pose estimation methods are capable of producing coarse interaction states. However, due to the complex and diverse geometry of both human ha…

cs.CV2025

Pose-RFT: Enhancing MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-Tuning

Bao Li, Xiaomei Zhang, Miao Xu +3

Generating 3D human poses from multimodal inputs such as images or text requires models to capture both rich spatial and semantic correspondences. While pose-specific multimodal la…

cs.CV2025

MLLM-Enhanced Face Forgery Detection: A Vision-Language Fusion Solution

Siran Peng, Zipei Wang, Li Gao +5

Reliable face forgery detection algorithms are crucial for countering the growing threat of deepfake-driven disinformation. Previous research has demonstrated the potential of Mult…