Recently, Neural Radiance Fields (NeRF) has shown promising performances...
Early exiting is an effective paradigm for improving the inference effic...
The paper presents a scalable approach for learning distributed
represen...
Unsupervised domain adaption (UDA) aims to adapt models learned from a
w...
Recent works have shown that the computational efficiency of video
recog...
Recent interest in self-supervised dense tracking has yielded rapid prog...
The objective of this paper is self-supervised learning of feature embed...
Many real-world applications of stereo depth estimation in robotics requ...
Humans are able to make rich predictions about the future dynamics of
ph...