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

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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

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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

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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

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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

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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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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

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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

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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

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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

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Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection

Pretrained Transformer-based models were reported to be robust in intent...
06/08/2021 ∙ by Jian-Guo Zhang, et al. ∙ 19 ∙ share

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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

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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

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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

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Learning Directional Feature Maps for Cardiac MRI Segmentation

Cardiac MRI segmentation plays a crucial role in clinical diagnosis for ...
07/22/2020 ∙ by Feng Cheng, et al. ∙ 17 ∙ share

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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

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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

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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

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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

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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

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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

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Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search

The goal of person search is to localize and match query persons from sc...
02/22/2021 ∙ by Chuchu Han, et al. ∙ 13 ∙ share

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InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?

Sentence insertion is a delicate but fundamental NLP problem. Current ap...
03/28/2021 ∙ by Fang Wu, et al. ∙ 13 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Huazhong University of Science u0026 Technology

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