2 citations · 2 across the 10 of their papers we have counts for
5 papers · 1 filter
Describe-to-Score: A text-guided framework for image complexity assessment
Shipeng Liu, Liang Zhao, Dengfeng Chen +1
Accurately assessing image complexity (IC) is essential for many vision tasks, yet existing approaches rely almost exclusively on visual features and therefore fail to capture the…
MATTER: Multiscale Attention for Registration Error Regression
Shipeng Liu, Ziliang Xiong, Khac-Hoang Ngo +1
Point cloud registration (PCR) is crucial for many downstream tasks, such as simultaneous localization and mapping (SLAM) and object tracking. This makes detecting and quantifying…
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation
Shipeng Liu, Ziliang Xiong, Bastian Wandt +1
Human Pose Estimation (HPE) is increasingly important for applications like virtual reality and motion analysis, yet current methods struggle with balancing accuracy, computational…
CLICv2: Image Complexity Representation via Content Invariance Contrastive Learning
Shipeng Liu, Liang Zhao, Dengfeng Chen
Unsupervised image complexity representation often suffers from bias in positive sample selection and sensitivity to image content. We propose CLICv2, a contrastive learning framew…
Collision Risk Estimation via Loss Prediction in End-to-End Autonomous Driving
Ziliang Xiong, Shipeng Liu, Nathaniel Helgesen +3
Collision risk estimation and avoidance play central roles in the safety of autonomous driving (AD) systems. Recently emerged end-to-end AD systems gain collision avoidance ability…