19 citations · 34 across the 8 of their papers we have counts for
8 papers
ACPO: Asymmetric Credit Policy Optimization via Mode-Local Entropy Surrogate
Zijun Xie, Yuyang You, Yongzhi Li +8
Outcome-supervised reinforcement learning scales to verifiable reasoning tasks, but trajectory-level rewards assign the same outcome signal to all sampled tokens, overlooking their…
AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation
Milton Zhou, Sizhong Qin, Yongzhi Li +2
Short-form videos have become a primary medium for digital advertising, requiring scalable and efficient content creation. However, current workflows and AI tools remain disjoint a…
Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step Generation
Yuyang You, Yongzhi Li, Jiahui Li +3
Video generation has recently emerged as a central task in the field of generative AI. However, the substantial computational cost inherent in video synthesis makes model distillat…
Narrative Weaver: Towards Controllable Long-Range Visual Consistency with Multi-Modal Conditioning
Zhengjian Yao, Yongzhi Li, Xinyuan Gao +3
We present "Narrative Weaver", a novel framework that addresses a fundamental challenge in generative AI: achieving multi-modal controllable, long-range, and consistent visual cont…
NOUS: Video-Driven 3D Human Reaction Generation via Observation-Reaction Mutual Steering
Yuan Zhou, Luanyuan Dai, Yongzhi Li +7
Video-driven 3D human reaction generation aims to synthesize 3D human motion in response to the action observed in a video, playing an important role in interactive multimedia syst…
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce
Yang Jin, Yongzhi Li, Zehuan Yuan +1
This paper aims to establish a generic multi-modal foundation model that has the scalable capability to massive downstream applications in E-commerce. Recently, large-scale vision-…
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
Yang Jin, Yongzhi Li, Zehuan Yuan +1
Spatio-Temporal video grounding (STVG) focuses on retrieving the spatio-temporal tube of a specific object depicted by a free-form textual expression. Existing approaches mainly tr…
Convolutional Video Steganography with Temporal Residual Modeling
Xinyu Weng, Yongzhi Li, Lu Chi +1
Steganography represents the art of unobtrusively concealing a secrete message within some cover data. The key scope of this work is about visual steganography techniques that hide…