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03/08/2023
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes
Unsupervised methods have showed promising results on monocular depth es...
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07/18/2020
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
Deep learning approaches have achieved great success in addressing the p...
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04/11/2020
Inter-Region Affinity Distillation for Road Marking Segmentation
We study the problem of distilling knowledge from a large deep teacher n...
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11/18/2019
Learning to Synthesize Fashion Textures
Existing unconditional generative models mainly focus on modeling genera...
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03/15/2019
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization
Over four decades, the majority addresses the problem of optical flow es...
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05/18/2018