most citedDepthGait: Multi-Scale Cross-Level Feature Fusion of RGB-Derived Depth and Silhouette Sequences for Robust Gait Recognition

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Comparison Drives Preference: Reference-Aware Modeling for AI-Generated Video Quality Assessment

Minghao Zou, Gen Liu, Guanghui Yue +5

The rapid advancement of generative models has led to a growing volume of AI-generated videos, making the automatic quality assessment of such videos increasingly important. Existi…

cs.CV2026

Depth-Guided Metric-Aware Temporal Consistency for Monocular Video Human Mesh Recovery

Jiaxin Cen, Xudong Mao, Guanghui Yue +4

Monocular video human mesh recovery faces fundamental challenges in maintaining metric consistency and temporal stability due to inherent depth ambiguities and scale uncertainties.…

cs.CV2025

Cross-Modal Scene Semantic Alignment for Image Complexity Assessment

Yuqing Luo, Yixiao Li, Jiang Liu +7

Image complexity assessment (ICA) is a challenging task in perceptual evaluation due to the subjective nature of human perception and the inherent semantic diversity in real-world…

cs.CV20252 cited

DepthGait: Multi-Scale Cross-Level Feature Fusion of RGB-Derived Depth and Silhouette Sequences for Robust Gait Recognition

Xinzhu Li, Juepeng Zheng, Yikun Chen +7

Robust gait recognition requires highly discriminative representations, which are closely tied to input modalities. While binary silhouettes and skeletons have dominated recent lit…

cs.CV20251 cited

VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering

Yiran Meng, Junhong Ye, Wei Zhou +4

Cross-video question answering presents significant challenges beyond traditional single-video understanding, particularly in establishing meaningful connections across video strea…