2 citations · 2 across the 10 of their papers we have counts for
11 papers
CoRe-SAM3: Conditional Semantic--Visual Reconciliation for SAM3 Crack Segmentation
Shipeng Liu, Liang Zhao, Dengfeng Chen
Crack segmentation requires a model to recognize target semantics while accurately recovering thin, low-contrast, and topologically continuous local structures. Although SAM3 provi…
Rapid-Deployment Crack Measurement Based on SAM3 Semantic-Edge Response Decoding
Zhanping Song, Shipeng Liu, Liang Zhao +1
Reliable crack measurement is essential for infrastructure condition assessment, yet existing image-based approaches typically depend on pixel-wise annotations, task-specific segme…
Rethinking Efficient Crack Segmentation with Task-Aligned Structural-Directional Modeling
Shipeng Liu, Liang Zhao, Dengfeng Chen +1
Recent crack segmentation methods often follow generic semantic segmentation designs, using stronger backbones, hybrid CNN-Transformer-Mamba encoders, and auxiliary enhancement bra…
Training-Free Tunnel Defect Inspection and Engineering Interpretation via Visual Recalibration and Entity Reconstruction
Shipeng Liu, Liang Zhao, Dengfeng Chen +1
Tunnel inspection requires outputs that can support defect localization, measurement, severity grading, and engineering documentation. Existing training-free foundation-model pipel…
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…
CLIC: Contrastive Learning Framework for Unsupervised Image Complexity Representation
Shipeng Liu, Liang Zhao, Dengfeng Chen
As a fundamental visual attribute, image complexity significantly influences both human perception and the performance of computer vision models. However, accurately assessing and…
Contrastive Learning for Image Complexity Representation
Shipeng Liu, Liang Zhao, Dengfeng Chen +1
Quantifying and evaluating image complexity can be instrumental in enhancing the performance of various computer vision tasks. Supervised learning can effectively learn image compl…