1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
VersusQ: Pairwise Margin Reasoning for Generalizable Video Quality Assessment
Shibei Meng, Binxin Yang, Yuan Liu +4
Large Multimodal Models (LMMs) have shown promise for video quality assessment, but most methods still predict an absolute score for each video. Such pointwise supervision often mi…
cs.SD2026★ 1 cited
Audio-Omni: Extending Multi-modal Understanding to Versatile Audio Generation and Editing
Zeyue Tian, Binxin Yang, Zhaoyang Liu +8
Recent progress in multimodal models has spurred rapid advances in audio understanding, generation, and editing. However, these capabilities are typically addressed by specialized…
cs.CV2025
AlignedGen: Aligning Style Across Generated Images
Jiexuan Zhang, Yiheng Du, Qian Wang +3
Despite their generative power, diffusion models struggle to maintain style consistency across images conditioned on the same style prompt, hindering their practical deployment in…