Huazhong University of Science u0026 Technology

The Huazhong University of Science and Technology is a public research university located in Guanshan Subdistrict, Hongshan District, Wuhan, Hubei province, China.

Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks

Diffusion has shown great success in improving accuracy of unsupervised ...
01/05/2020 ∙ by Zhiyong Dou, et al. ∙ 53 ∙ share

read it
AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets

Recent studies have discovered the vulnerability of Deep Neural Networks...
04/16/2019 ∙ by Xiaosen Wang, et al. ∙ 38 ∙ share

read it
Real-time Scene Text Detection with Differentiable Binarization

Recently, segmentation-based methods are quite popular in scene text det...
11/20/2019 ∙ by Minghui Liao, et al. ∙ 29 ∙ share

read it
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks

A deep neural network (DNN) with piecewise linear activations can partit...
01/04/2020 ∙ by Xiao Zhang, et al. ∙ 28 ∙ share

read it
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search

Deep neural networks achieve remarkable performance in many computer vis...
01/08/2020 ∙ by Jiemin Fang, et al. ∙ 26 ∙ share

read it
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

read it
TextScanner: Reading Characters in Order for Robust Scene Text Recognition

Driven by deep learning and the large volume of data, scene text recogni...
12/28/2019 ∙ by Zhaoyi Wan, et al. ∙ 23 ∙ share

read it
AI-GAN: Attack-Inspired Generation of Adversarial Examples

Adversarial examples that can fool deep models are mainly crafted by add...
02/06/2020 ∙ by Tao Bai, et al. ∙ 21 ∙ share

read it
EmbedMask: Embedding Coupling for One-stage Instance Segmentation

Current instance segmentation methods can be categorized into segmentati...
12/04/2019 ∙ by Hui Ying, et al. ∙ 20 ∙ share

read it
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting

Visual counting, a task that aims to estimate the number of objects from...
01/07/2020 ∙ by Haipeng Xiong, et al. ∙ 20 ∙ share

read it
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image

For 3D hand and body pose estimation task in depth image, a novel anchor...
08/27/2019 ∙ by Fu Xiong, et al. ∙ 18 ∙ share

read it
IoU-uniform R-CNN: Breaking Through the Limitations of RPN

Region Proposal Network (RPN) is the cornerstone of two-stage object det...
12/11/2019 ∙ by Li Zhu, et al. ∙ 18 ∙ share

read it
Adaptive Large Neighborhood Search for Circle Bin Packing Problem

We address a new variant of packing problem called the circle bin packin...
01/20/2020 ∙ by Kun He, et al. ∙ 18 ∙ share

read it
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection

Scene text detection is an important step of scene text reading system. ...
12/04/2018 ∙ by Yongchao Xu, et al. ∙ 16 ∙ share

read it
Domain Adaptation for Image Dehazing

Image dehazing using learning-based methods has achieved state-of-the-ar...
05/10/2020 ∙ by Yuanjie Shao, et al. ∙ 15 ∙ share

read it
Limited Gradient Descent: Learning With Noisy Labels

Label noise may handicap the generalization of classifiers, and it is an...
11/20/2018 ∙ by Yi Sun, et al. ∙ 14 ∙ share

read it
Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume

Deep learning has shown to be effective for depth inference in multi-vie...
12/26/2019 ∙ by Qingshan Xu, et al. ∙ 14 ∙ share

read it
Re-ID Driven Localization Refinement for Person Search

Person search aims at localizing and identifying a query person from a g...
09/18/2019 ∙ by Chuchu Han, et al. ∙ 13 ∙ share

read it
SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking

Although deep neural networks (DNNs) have achieved fantastic success in ...
03/17/2020 ∙ by Yihao Luo, et al. ∙ 13 ∙ share

read it
Parallel Convolutional Networks for Image Recognition via a Discriminator

In this paper, we introduce a simple but quite effective recognition fra...
07/06/2018 ∙ by Shiqi Yang, et al. ∙ 12 ∙ share

read it
Mask Scoring R-CNN

Letting a deep network be aware of the quality of its own predictions is...
03/01/2019 ∙ by Zhaojin Huang, et al. ∙ 12 ∙ share

read it
Salient Instance Segmentation via Subitizing and Clustering

The goal of salient region detection is to identify the regions of an im...
09/29/2019 ∙ by Jialun Pei, et al. ∙ 12 ∙ share

read it
Diversity Transfer Network for Few-Shot Learning

Few-shot learning is a challenging task that aims at training a classifi...
12/31/2019 ∙ by Mengting Chen, et al. ∙ 12 ∙ share

read it
Robust Local Features for Improving the Generalization of Adversarial Training

Adversarial training has been demonstrated as one of the most effective ...
09/23/2019 ∙ by Chubiao Song, et al. ∙ 11 ∙ share

read it
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction

Dimensionality reduction is an important operation in information visual...
01/09/2020 ∙ by Zhenhua Shi, et al. ∙ 11 ∙ share

read it
A Simple Baseline for Multi-Object Tracking

There has been remarkable progress on object detection and re-identifica...
04/04/2020 ∙ by Yifu Zhan, et al. ∙ 11 ∙ share

read it
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization

In this paper, we address the problem of synthesizing multi-parameter ma...
12/17/2018 ∙ by Zhiwei Wang, et al. ∙ 10 ∙ share

read it
Unsupervised Learning Framework of Interest Point Via Properties Optimization

This paper presents an entirely unsupervised interest point training fra...
07/26/2019 ∙ by Pei Yan, et al. ∙ 10 ∙ share

read it
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training

Drowsy driving is pervasive, and also a major cause of traffic accidents...
09/25/2019 ∙ by Yuqi Cuui, et al. ∙ 10 ∙ share

read it
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling

Ensembling deep learning models is a shortcut to promote its implementat...
03/25/2020 ∙ by Jun Yang, et al. ∙ 10 ∙ share

read it
Single Image Reflection Removal through Cascaded Refinement

We address the problem of removing undesirable reflections from a single...
11/15/2019 ∙ by Chao Li, et al. ∙ 9 ∙ share

read it
IoU-aware Single-stage Object Detector for Accurate Localization

Due to the simpleness and high efficiency, single-stage object detectors...
12/12/2019 ∙ by Shengkai Wu, et al. ∙ 9 ∙ share

read it
Deep attention-based classification network for robust depth prediction

In this paper, we present our deep attention-based classification (DABC)...
07/11/2018 ∙ by Ruibo Li, et al. ∙ 8 ∙ share

read it
Effective reinforcement learning based local search for the maximum k-plex problem

The maximum k-plex problem is a computationally complex problem, which e...
03/13/2019 ∙ by Yan Jin, et al. ∙ 8 ∙ share

read it
Symmetry-constrained Rectification Network for Scene Text Recognition

Reading text in the wild is a very challenging task due to the diversity...
08/06/2019 ∙ by Mingkun Yang, et al. ∙ 8 ∙ share

read it
Copy and Paste GAN: Face Hallucination from Shaded Thumbnails

Existing face hallucination methods based on convolutional neural networ...
02/25/2020 ∙ by Yang Zhang, et al. ∙ 8 ∙ share

read it
Relevant Region Prediction for Crowd Counting

Crowd counting is a concerned and challenging task in computer vision. E...
05/20/2020 ∙ by Xinya Chen, et al. ∙ 8 ∙ share

read it
Object Detection in Video with Spatial-temporal Context Aggregation

Recent cutting-edge feature aggregation paradigms for video object detec...
07/11/2019 ∙ by Hao Luo, et al. ∙ 7 ∙ share

read it
Planar Prior Assisted PatchMatch Multi-View Stereo

The completeness of 3D models is still a challenging problem in multi-vi...
12/26/2019 ∙ by Qingshan Xu, et al. ∙ 7 ∙ share

read it
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation

Image segmentation is a fundamental vision task and a crucial step for m...
05/30/2020 ∙ by Jianqiang Wan, et al. ∙ 7 ∙ share

read it
Action Recognition for Depth Video using Multi-view Dynamic Images

Dynamic image is the recently emerged action representation paradigm abl...
06/29/2018 ∙ by Yang Xiao, et al. ∙ 6 ∙ share

read it
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking

State-of-the-art object detectors and trackers are developing fast. Trac...
11/13/2018 ∙ by Hao Luo, et al. ∙ 6 ∙ share

read it
Active Stacking for Heart Rate Estimation

Heart rate estimation from electrocardiogram signals is very important f...
03/26/2019 ∙ by Dongrui Wu, et al. ∙ 6 ∙ share

read it
High-Resolution Representations for Labeling Pixels and Regions

High-resolution representation learning plays an essential role in many ...
04/09/2019 ∙ by Ke Sun, et al. ∙ 6 ∙ share

read it
Densely Connected Search Space for More Flexible Neural Architecture Search

In recent years, neural architecture search (NAS) has dramatically advan...
06/23/2019 ∙ by Jiemin Fang, et al. ∙ 6 ∙ share

read it
View N-gram Network for 3D Object Retrieval

How to aggregate multi-view representations of a 3D shape object into an...
08/06/2019 ∙ by Xinwei He, et al. ∙ 6 ∙ share

read it
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting

Recently, end-to-end text spotting that aims to detect and recognize tex...
11/21/2019 ∙ by Hao Wang, et al. ∙ 6 ∙ share

read it
Refinements in Motion and Appearance for Online Multi-Object Tracking

Modern multi-object tracking (MOT) system usually involves separated mod...
03/16/2020 ∙ by Piao Huang, et al. ∙ 6 ∙ share

read it
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video

To facilitate depth-based 3D action recognition, 3D dynamic voxel (3DV) ...
05/12/2020 ∙ by Yancheng Wang, et al. ∙ 6 ∙ share

read it
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

read it

Huazhong University of Science u0026 Technology

Featured Researchers