b'Chen Zhao'

A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI

Background. Studies have shown that the conventional left ventricular me...
06/01/2021 ∙ by Zhuo He, et al. ∙ 0 ∙ share

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FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework

With the proliferation of edge smart devices and the Internet of Vehicle...
04/25/2021 ∙ by Chen Zhao, et al. ∙ 15 ∙ share

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Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval

Complex question answering often requires finding a reasoning chain that...
04/13/2021 ∙ by Chen Zhao, et al. ∙ 0 ∙ share

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Complex Factoid Question Answering with a Free-Text Knowledge Graph

We introduce DELFT, a factoid question answering system which combines t...
03/23/2021 ∙ by Chen Zhao, et al. ∙ 0 ∙ share

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A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images

Intravascular ultrasound (IVUS) imaging allows direct visualization of t...
02/21/2021 ∙ by Fubao Zhu, et al. ∙ 8 ∙ share

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A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images

Automatic CT segmentation of proximal femur is crucial for the diagnosis...
02/03/2021 ∙ by Yu Deng, et al. ∙ 11 ∙ share

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Analyzing the barren plateau phenomenon in training quantum neural network with the ZX-calculus

In this paper, we propose a general scheme to analyze the barren plateau...
02/03/2021 ∙ by Chen Zhao, et al. ∙ 0 ∙ share

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A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms

In stable coronary artery disease (CAD), reduction in mortality and/or m...
01/25/2021 ∙ by Chen Zhao, et al. ∙ 15 ∙ share

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Consensus-Guided Correspondence Denoising

Correspondence selection between two groups of feature points aims to co...
01/03/2021 ∙ by Chen Zhao, et al. ∙ 2 ∙ share

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Video Self-Stitching Graph Network for Temporal Action Localization

Temporal action localization (TAL) in videos is a challenging task, espe...
11/30/2020 ∙ by Chen Zhao, et al. ∙ 0 ∙ share

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A Reweighted Meta Learning Framework for Robust Few Shot Learning

Model-Agnostic Meta-Learning (MAML) is a popular gradient-based meta-lea...
11/13/2020 ∙ by KrishnaTeja Killamsetty, et al. ∙ 7 ∙ share

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On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries

Large-scale semantic parsing datasets annotated with logical forms have ...
10/21/2020 ∙ by Tianze Shi, et al. ∙ 0 ∙ share

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Unfairness Discovery and Prevention For Few-Shot Regression

We study fairness in supervised few-shot meta-learning models that are s...
09/23/2020 ∙ by Chen Zhao, et al. ∙ 0 ∙ share

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Fair Meta-Learning For Few-Shot Classification

Artificial intelligence nowadays plays an increasingly prominent role in...
09/23/2020 ∙ by Chen Zhao, et al. ∙ 0 ∙ share

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Rank-Based Multi-task Learning for Fair Regression

In this work, we develop a novel fairness learning approach for multi-ta...
09/23/2020 ∙ by Chen Zhao, et al. ∙ 0 ∙ share

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A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images

Purpose: Proximal femur image analyses based on quantitative computed to...
06/09/2020 ∙ by Chen Zhao, et al. ∙ 0 ∙ 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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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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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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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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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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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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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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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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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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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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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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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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Chen Zhao

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