Cross-modal alignment is one key challenge for Vision-and-Language Navig...
This paper proposes a learning-based visual peg-in-hole that enables tra...
Class imbalance distribution widely exists in real-world engineering.
Ho...
In the peg insertion task, human pays attention to the seam between the ...
Current LiDAR-only 3D detection methods inevitably suffer from the spars...
Modern deep neural networks for classification usually jointly learn a
b...
Electric vehicles are an emerging means of transportation with environme...
3D object detection algorithms for autonomous driving reason about 3D
ob...
How to learn a stable model under agnostic distribution shift between
tr...
3D object detection based on point clouds has become more and more popul...
Industrial AI systems are mostly end-to-end machine learning (ML) workfl...
LIDAR point clouds and RGB-images are both extremely essential for 3D ob...
Unsupervised hashing can desirably support scalable content-based image
...