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06/05/2023
Zero-Shot 3D Shape Correspondence
We propose a novel zero-shot approach to computing correspondences betwe...
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06/01/2023
Hinge-Wasserstein: Mitigating Overconfidence in Regression by Classification
Modern deep neural networks are prone to being overconfident despite the...
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02/13/2021
Normalized Convolution Upsampling for Refined Optical Flow Estimation
Optical flow is a regression task where convolutional neural networks (C...
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06/05/2020
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End
The focus in deep learning research has been mostly to push the limits o...
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04/03/2019
Unpaired Thermal to Visible Spectrum Transfer using Adversarial Training
Thermal Infrared (TIR) cameras are gaining popularity in many computer v...
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11/05/2018
Confidence Propagation through CNNs for Guided Sparse Depth Regression
Generally, convolutional neural networks (CNNs) process data on a regula...
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05/30/2018