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09/04/2023
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization
Recent neural networks based surface reconstruction can be roughly divid...
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03/08/2023
Neural Vector Fields: Implicit Representation by Explicit Learning
Deep neural networks (DNNs) are widely applied for nowadays 3D surface r...
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05/28/2021
Improving Facial Attribute Recognition by Group and Graph Learning
Exploiting the relationships between attributes is a key challenge for i...
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09/13/2020
Improving Deep Video Compression by Resolution-adaptive Flow Coding
In the learning based video compression approaches, it is an essential i...
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03/31/2020
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Spatial-temporal graphs have been widely used by skeleton-based action r...
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01/23/2019
Composition and decomposition of GANs
In this work, we propose a composition/decomposition framework for adver...
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07/09/2017
Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach
Time-Spatial data plays a crucial role for different fields such as traf...
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07/09/2013