95 citations · 156 across the 4 of their papers we have counts for
4 papers
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Chenning Yu, Sicun Gao
Sampling-based motion planning is a popular approach in robotics for finding paths in continuous configuration spaces. Checking collision with obstacles is the major computational…
Geodesic Distance Histogram Feature for Video Segmentation
Hieu Le, Vu Nguyen, Chen-Ping Yu +1
This paper proposes a geodesic-distance-based feature that encodes global information for improved video segmentation algorithms. The feature is a joint histogram of intensity and…
Co-localization with Category-Consistent Features and Geodesic Distance Propagation
Hieu Le, Chen-Ping Yu, Gregory Zelinsky +1
Co-localization is the problem of localizing objects of the same class using only the set of images that contain them. This is a challenging task because the object detector must b…
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks
Le Hou, Chen-Ping Yu, Dimitris Samaras
In the context of single-label classification, despite the huge success of deep learning, the commonly used cross-entropy loss function ignores the intricate inter-class relationsh…