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03/15/2023
Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis
Neural Radiance Fields (NeRF) have led to breakthroughs in the novel vie...
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12/10/2022
Progressive Multi-view Human Mesh Recovery with Self-Supervision
To date, little attention has been given to multi-view 3D human mesh est...
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10/16/2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Federated Learning (FL) is a machine learning paradigm where many local ...
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09/21/2022
PREF: Predictability Regularized Neural Motion Fields
Knowing the 3D motions in a dynamic scene is essential to many vision ap...
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09/10/2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Federated Learning (FL) is a machine learning paradigm where local nodes...
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09/10/2022
Self-supervised Human Mesh Recovery with Cross-Representation Alignment
Fully supervised human mesh recovery methods are data-hungry and have po...
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12/07/2020
Deformable Gabor Feature Networks for Biomedical Image Classification
In recent years, deep learning has dominated progress in the field of me...
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11/24/2020
A Review of Recent Advances of Binary Neural Networks for Edge Computing
Edge computing is promising to become one of the next hottest topics in ...
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08/03/2020
