3 papers
cs.CV2026
WireSeg-32K: A Physics-Grounded Synthetic Dataset for Wire Instance Segmentation
Zilin Dai, Lehong Wang, Yi Yang +1
Deformable linear objects such as wires and cables are difficult to segment because they are thin, highly deformable, and frequently self-occluded, while large-scale instance-level…
cs.RO2026
DeformX: A Versatile Co-Simulation Framework for Deformable Linear Objects
Yi Yang, Xiang Fei, Lehong Wang +5
Deformable linear objects (DLOs) such as wires, cables, and ropes are common in robotic manipulation tasks, yet simulating them with both visual realism and physical accuracy remai…
cs.CL2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
Zilin Dai, Lehong Wang, Fangzhou Lin +5
Real-world machine learning applications often struggle with two major challenges: distribution shift and label noise. Models tend to overfit by focusing on redundant and uninforma…