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09/18/2022
ActiveNeRF: Learning where to See with Uncertainty Estimation
Recently, Neural Radiance Fields (NeRF) has shown promising performances...
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09/17/2022
Learning to Weight Samples for Dynamic Early-exiting Networks
Early exiting is an effective paradigm for improving the inference effic...
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06/09/2022
Extreme Masking for Learning Instance and Distributed Visual Representations
The paper presents a scalable approach for learning distributed represen...
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02/14/2022
Domain Adaptation via Prompt Learning
Unsupervised domain adaption (UDA) aims to adapt models learned from a w...
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12/28/2021
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
Recent works have shown that the computational efficiency of video recog...
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02/18/2020
MAST: A Memory-Augmented Self-supervised Tracker
Recent interest in self-supervised dense tracking has yielded rapid prog...
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05/02/2019
Self-supervised Learning for Video Correspondence Flow
The objective of this paper is self-supervised learning of feature embed...
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10/26/2018
Anytime Stereo Image Depth Estimation on Mobile Devices
Many real-world applications of stereo depth estimation in robotics requ...
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09/07/2018
