Deep learning has become the method of choice to tackle real-world problems in different
domains, partly because of its ability to learn from data and achieve impressive performance …

Source-free object detection (SFOD) aims to transfer a detector pre-trained on a label-rich
source domain to an unlabeled target domain without seeing source data. While most …

We aim to improve the performance of regressing hand keypoints and segmenting pixel-
level hand masks under new imaging conditions (eg., outdoors) when we only have labeled …

**年来, 基于深度学**的目标检测算法在自动驾驶, 人机交互等众多域上有着成功的应用,
且因其检测性能较高引起学者的广泛关注. 传统的深度学**方法一般基于源域与目标域服从同一 …

Closing the domain gap between training and deployment and incorporating multiple sensor
modalities are two challenging yet critical topics for self-driving. Existing work only focuses …

Object detection is a fundamental task of environment perception in traffic road scenarios,
and its accurate detection results are of great significance for improving the reliability of …

Incorporating multiple sensor modalities, and closing the domain gaps between training and
deployment are two challenging yet critical topics for self-driving. Existing adaption works …