3 papers
cs.CV2026
Towards Successful Implementation of Automated Raveling Detection: Effects of Training Data Size, Illumination Difference, and Spatial Shift
Xinan Zhang, Haolin Wang, Zhongyu Yang +2
Raveling, the loss of aggregates, is a major form of asphalt pavement surface distress, especially on highways. While research has shown that machine learning and deep learning-bas…
cs.CV2025
Deep Learning for Crack Detection: A Review of Learning Paradigms, Generalizability, and Datasets
Xinan Zhang, Haolin Wang, Yung-An Hsieh +3
Crack detection plays a crucial role in civil infrastructures, including inspection of pavements, buildings, etc., and deep learning has significantly advanced this field in recent…
cs.CV2025
EscherNet++: Simultaneous Amodal Completion and Scalable View Synthesis through Masked Fine-Tuning and Enhanced Feed-Forward 3D Reconstruction
Xinan Zhang, Muhammad Zubair Irshad, Anthony Yezzi +2
We propose EscherNet++, a masked fine-tuned diffusion model that can synthesize novel views of objects in a zero-shot manner with amodal completion ability. Existing approaches uti…