2 citations · 3 across the 6 of their papers we have counts for
7 papers
Self-Aligned Forcing: Streaming Video Diffusion with Differentiable Noisy History
Weiqiang Wang, Zhuokun Chen, Yusheng Dai +5
Autoregressive video diffusion enables interactive streaming generation, but suffers from error accumulation over long rollouts. Self-rollout training reduces exposure bias, yet fi…
Multi-Expert Conformal Risk Control for Pairwise LLM Judging in Open-Ended Dialogue
Ming Cheng, Yusheng Dai, Qiuhong Ke +2
In this paper, we explore multi-expert Conformal Risk Control (CRC) algorithms for pairwise LLM-as-a-Judge evaluation in open-ended dialogue. Our core insight is that multi-expert…
CineDub: Scaling End-to-End Video Dubbing to Multi-Speaker Dialogues with Coherent Sound Effects
Yusheng Dai, Kangdi Wang, Baolong Gao +4
Automatic video dubbing in the wild remains fundamentally limited by two competing constraints: hierarchical methods depend on brittle, multi-stage preprocessing pipelines that sev…
Omni2Sound: Towards Unified Video-Text-to-Audio Generation
Yusheng Dai, Zehua Chen, Yuxuan Jiang +4
Training a unified model integrating video-to-audio (V2A), text-to-audio (T2A), and joint video-text-to-audio (VT2A) generation offers significant application flexibility, yet face…
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
Hongyu Sun, Qiuhong Ke, Ming Cheng +4
This paper proposes a general solution to enable point cloud recognition models to handle distribution shifts at test time. Unlike prior methods, which rely heavily on training dat…
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun, Qiuhong Ke, Yongcai Wang +4
This paper investigates the 3D domain generalization (3DDG) ability of large 3D models based on prevalent prompt learning. Recent works demonstrate the performances of 3D point clo…
CLIP Guided Image-perceptive Prompt Learning for Image Enhancement
Weiwen Chen, Qiuhong Ke, Zinuo Li
Image enhancement is a significant research area in the fields of computer vision and image processing. In recent years, many learning-based methods for image enhancement have been…