Zhenghao Chen | DeepAI

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Daphne Koller
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Zhiyong Wang
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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...

0 Xianghui Yang, et al. ∙

∙ 03/08/2023

Neural Vector Fields: Implicit Representation by Explicit Learning

Deep neural networks (DNNs) are widely applied for nowadays 3D surface r...

0 Xianghui Yang, et al. ∙

∙ 05/28/2021

Improving Facial Attribute Recognition by Group and Graph Learning

Exploiting the relationships between attributes is a key challenge for i...

6 Zhenghao Chen, et al. ∙

∙ 09/13/2020

Improving Deep Video Compression by Resolution-adaptive Flow Coding

In the learning based video compression approaches, it is an essential i...

3 Zhihao Hu, et al. ∙

∙ 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...

4 Ziyu Liu, et al. ∙

∙ 01/23/2019

Composition and decomposition of GANs

In this work, we propose a composition/decomposition framework for adver...

12 Yeu-Chern Harn, et al. ∙

∙ 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...

0 Zhenghao Chen, et al. ∙

∙ 07/09/2013

Tuned Models of Peer Assessment in MOOCs

In massive open online courses (MOOCs), peer grading serves as a critica...

0 Chris Piech, et al. ∙

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