Jointly processing information from multiple sensors is crucial to achie...
Designing an efficient yet deployment-friendly 3D backbone to handle spa...
We present a novel two-stage fully sparse convolutional 3D object detect...
As a fundamental problem in computer vision, 3D object detection is
expe...
Self-attention architectures have emerged as a recent advancement for
im...
Distributionally robust optimization (DRO) is a widely-used approach to ...
Motivation: Predicting Drug-Target Interaction (DTI) is a well-studied t...
As a fundamental problem for Artificial Intelligence, multi-agent system...
Deep generative models have demonstrated their effectiveness in learning...
In this paper, we propose a novel top-down instance segmentation framewo...
In this paper, we propose a data-driven visual rhythm prediction method,...
Recent research has shown that deep ensemble for forest can achieve a hu...