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04/27/2023
Controllable One-Shot Face Video Synthesis With Semantic Aware Prior
The one-shot talking-head synthesis task aims to animate a source image ...
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10/04/2022
Are All Losses Created Equal: A Neural Collapse Perspective
While cross entropy (CE) is the most commonly used loss to train deep ne...
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11/03/2021
Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution
Automatic action identification from video and kinematic data is an impo...
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10/07/2021
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
Deep learning in the presence of noisy annotations has been studied exte...
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09/22/2021
Cramér-Rao bound-informed training of neural networks for quantitative MRI
Neural networks are increasingly used to estimate parameters in quantita...
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06/13/2021
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
In the last few years, deep learning classifiers have shown promising re...
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04/14/2020
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning
Existing unsupervised video-to-video translation methods fail to produce...
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02/13/2020