3 papers
cs.CV2026
Pioneering Perceptual Video Fluency Assessment: A Novel Task with Benchmark Dataset and Baseline
Qizhi Xie, Kun Yuan, Yunpeng Qu +3
Accurately estimating humans' subjective feedback on video fluency, e.g., motion consistency and frame continuity, is crucial for various applications like streaming and gaming. Ye…
cs.CV2025
Score2Instruct: Scaling Up Video Quality-Centric Instructions via Automated Dimension Scoring
Qizhi Xie, Kun Yuan, Yunpeng Qu +5
Classical video quality assessment methods generate a numerical score to judge a video's perceived visual fidelity and clarity. Yet, a score fails to describe the video's complex q…
cs.CV2021
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition
Yan Zhao, Weicong Chen, Xu Tan +2
Data in the real world tends to exhibit a long-tailed label distribution, which poses great challenges for the training of neural networks in visual recognition. Existing methods t…