activity
20242026
collaborators

5 papers

cs.CV2026

Video-MOPD: Multi-Teacher On-Policy Distillation for Video Understanding

Zhenxin Qin, Peng Shi, Cong Han +3

Video understanding demands a convergence of complementary capabilities across perception, temporal understanding, and complex reasoning, which are difficult to jointly optimize wi…

cs.CV2026

Vorch-Omni: Multi-Task Orchestration of Sight and Sound

Vorch Team, Xiaoyu Chen, Yang Ding +25

Recent advances in generative video modeling have enabled diverse generation, reference-based synthesis, extension, and editing, but existing approaches often rely on fragmented ta…

cs.CV2025

M4V: Multimodal Mamba for Efficient Text-to-Video Generation

Jiancheng Huang, Gengwei Zhang, Zequn Jie +5

Text-to-video generation has significantly enriched content creation and holds the potential to evolve into powerful world simulators. However, modeling the vast spatiotemporal spa…

cs.CV2025

FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction

Siyu Jiao, Gengwei Zhang, Yinlong Qian +6

This work challenges the residual prediction paradigm in visual autoregressive modeling and presents FlexVAR, a new Flexible Visual AutoRegressive image generation paradigm. FlexVA…

cs.CV2024

CLIP-GS: Unifying Vision-Language Representation with 3D Gaussian Splatting

Siyu Jiao, Haoye Dong, Yuyang Yin +5

Recent works in 3D multimodal learning have made remarkable progress. However, typically 3D multimodal models are only capable of handling point clouds. Compared to the emerging 3D…