Chen Zhao

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Institute of Software, Chinese Academy of Sciences ∙ King Abdullah University of Science and Technology ∙ University of Maryland ∙ Huazhong University of Science u0026 Technology

Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology

Point cloud analysis is a basic task in 3D computer vision, which attrac...
11/01/2019 ∙ by Chen Zhao, et al. ∙ 32 ∙ share

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Comparative evaluation of 2D feature correspondence selection algorithms

Correspondence selection aiming at seeking correct feature correspondenc...
04/30/2019 ∙ by Chen Zhao, et al. ∙ 24 ∙ share

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Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization

Fine-grained visual categorization (FGVC) is an important but challengin...
09/25/2019 ∙ by Ruyi Ji, et al. ∙ 17 ∙ share

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LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching

The local reference frame (LRF) acts as a critical role in 3D local shap...
01/22/2020 ∙ by Angfan Zhu, et al. ∙ 7 ∙ share

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Learning Semantic Neural Tree for Human Parsing

The majority of existing human parsing methods formulate the task as sem...
12/20/2019 ∙ by Ruyi Ji, et al. ∙ 6 ∙ share

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Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence

Matching corresponding features between two images is a fundamental task...
09/03/2019 ∙ by Chen Zhao, et al. ∙ 5 ∙ share

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LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning

LightNet is a lightweight, versatile and purely Matlab-based deep learni...
05/09/2016 ∙ by Chengxi Ye, et al. ∙ 0 ∙ share

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Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization

From many fewer acquired measurements than suggested by the Nyquist samp...
04/30/2014 ∙ by Jian Zhang, et al. ∙ 0 ∙ share

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Image Super-Resolution via Dual-Dictionary Learning And Sparse Representation

Learning-based image super-resolution aims to reconstruct high-frequency...
08/18/2012 ∙ by Jian Zhang, et al. ∙ 0 ∙ share

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NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences

Feature correspondence selection is pivotal to many feature-matching bas...
03/31/2019 ∙ by Chen Zhao, et al. ∙ 0 ∙ share

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ThumbNet: One Thumbnail Image Contains All You Need for Recognition

Although deep convolutional neural networks (CNNs) have achieved great s...
04/10/2019 ∙ by Chen Zhao, et al. ∙ 0 ∙ share

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Learning to Fuse Local Geometric Features for 3D Rigid Data Matching

This paper presents a simple yet very effective data-driven approach to ...
04/27/2019 ∙ by Jiaqi Yang, et al. ∙ 0 ∙ share

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G-TAD: Sub-Graph Localization for Temporal Action Detection

Temporal action detection is a fundamental yet challenging task in video...
11/26/2019 ∙ by Mengmeng Xu, et al. ∙ 0 ∙ share

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QDNN: DNN with Quantum Neural Network Layers

The deep neural network (DNN) became the most important and powerful mac...
12/29/2019 ∙ by Chen Zhao, et al. ∙ 0 ∙ share

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Chen Zhao

Featured Co-authors

Jian Zhang

Xin Li

Bernard Ghanem

Wen Gao

Yezhou Yang

Siwei Lyu

Feiyue Huang

Cornelia Fermuller

Yiannis Aloimonos

Longyin Wen

Xianglong Liu

Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology

Comparative evaluation of 2D feature correspondence selection algorithms

Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization

LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching

Learning Semantic Neural Tree for Human Parsing

Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence

LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning

Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization

Image Super-Resolution via Dual-Dictionary Learning And Sparse Representation

NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences

ThumbNet: One Thumbnail Image Contains All You Need for Recognition

Learning to Fuse Local Geometric Features for 3D Rigid Data Matching

G-TAD: Sub-Graph Localization for Temporal Action Detection

QDNN: DNN with Quantum Neural Network Layers