7 papers
Modeling Scientific Experiment Scenes: Dataset and Model
Minghao Zou, Qingtian Zeng, Shangkun Liu +5
Scene Graph Generation (SGG) is fundamental to structured visual understanding, yet existing benchmarks focus mainly on daily-life images and overlook scientific experiment scenes…
PhysScene: A Scene Graph Dataset for Scientific Visual Reasoning in Physics Experiments
Minghao Zou, Qingtian Zeng, Shangkun Liu +5
Scene Graphs (SGs) provide structured representations of visual scenes by modeling objects and their pairwise relationships. Despite recent progress, existing datasets primarily fo…
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…
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.…
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…
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…