Huazhong University of Science u0026 Technology

research

∙ 01/05/2020

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 ...

Zhiyong Dou, et al. ∙

research

∙ 04/16/2019

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

Recent studies have discovered the vulnerability of Deep Neural Networks...

Xiaosen Wang, et al. ∙

research

∙ 01/17/2022

Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems

Adversarial Examples (AEs) can deceive Deep Neural Networks (DNNs) and h...

Wei Jia, et al. ∙

research

∙ 11/20/2019

Real-time Scene Text Detection with Differentiable Binarization

Recently, segmentation-based methods are quite popular in scene text det...

Minghui Liao, et al. ∙

research

∙ 01/04/2020

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

A deep neural network (DNN) with piecewise linear activations can partit...

Xiao Zhang, et al. ∙

research

∙ 01/08/2020

Fast Neural Network Adaptation via Parameter Remapping and Architecture Search

Deep neural networks achieve remarkable performance in many computer vis...

Jiemin Fang, et al. ∙

research

∙ 04/30/2019

Comparative evaluation of 2D feature correspondence selection algorithms

Correspondence selection aiming at seeking correct feature correspondenc...

Chen Zhao, et al. ∙

research

∙ 12/28/2019

TextScanner: Reading Characters in Order for Robust Scene Text Recognition

Driven by deep learning and the large volume of data, scene text recogni...

Zhaoyi Wan, et al. ∙

research

∙ 02/06/2020

AI-GAN: Attack-Inspired Generation of Adversarial Examples

Adversarial examples that can fool deep models are mainly crafted by add...

Tao Bai, et al. ∙

research

∙ 12/04/2019

EmbedMask: Embedding Coupling for One-stage Instance Segmentation

Current instance segmentation methods can be categorized into segmentati...

Hui Ying, et al. ∙

research

∙ 01/07/2020

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...

Haipeng Xiong, et al. ∙

research

∙ 06/08/2021

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...

Jian-Guo Zhang, et al. ∙

research

∙ 02/28/2022

Point Set Self-Embedding

This work presents an innovative method for point set self-embedding, th...

Ruihui Li, et al. ∙

research

∙ 08/27/2019

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...

Fu Xiong, et al. ∙

research

∙ 12/11/2019

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

Region Proposal Network (RPN) is the cornerstone of two-stage object det...

Li Zhu, et al. ∙

research

∙ 01/20/2020

Adaptive Large Neighborhood Search for Circle Bin Packing Problem

We address a new variant of packing problem called the circle bin packin...

Kun He, et al. ∙

research

∙ 07/22/2020

Learning Directional Feature Maps for Cardiac MRI Segmentation

Cardiac MRI segmentation plays a crucial role in clinical diagnosis for ...

Feng Cheng, et al. ∙

research

∙ 12/04/2018

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

Scene text detection is an important step of scene text reading system. ...

Yongchao Xu, et al. ∙

research

∙ 05/10/2020

Domain Adaptation for Image Dehazing

Image dehazing using learning-based methods has achieved state-of-the-ar...

Yuanjie Shao, et al. ∙

research

∙ 03/24/2022

Sparse Instance Activation for Real-Time Instance Segmentation

In this paper, we propose a conceptually novel, efficient, and fully con...

Tianheng Cheng, et al. ∙

research

∙ 11/20/2018

Limited Gradient Descent: Learning With Noisy Labels

Label noise may handicap the generalization of classifiers, and it is an...

Yi Sun, et al. ∙

research

∙ 12/26/2019

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...

Qingshan Xu, et al. ∙

research

∙ 01/14/2022

Unsupervised Temporal Video Grounding with Deep Semantic Clustering

Temporal video grounding (TVG) aims to localize a target segment in a vi...

Daizong Liu, et al. ∙

research

∙ 04/06/2022

Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection

We present an approach to efficiently and effectively adapt a masked ima...

Yuxin Fang, et al. ∙

research

∙ 09/18/2019

Re-ID Driven Localization Refinement for Person Search

Person search aims at localizing and identifying a query person from a g...

Chuchu Han, et al. ∙

research

∙ 03/17/2020

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

Although deep neural networks (DNNs) have achieved fantastic success in ...

Yihao Luo, et al. ∙

research

∙ 02/22/2021

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...

Chuchu Han, et al. ∙

research

∙ 03/28/2021

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

Sentence insertion is a delicate but fundamental NLP problem. Current ap...

Fang Wu, et al. ∙

research

∙ 07/06/2018

Parallel Convolutional Networks for Image Recognition via a Discriminator

In this paper, we introduce a simple but quite effective recognition fra...

Shiqi Yang, et al. ∙

research

∙ 03/01/2019

Mask Scoring R-CNN

Letting a deep network be aware of the quality of its own predictions is...

Zhaojin Huang, et al. ∙

research

∙ 09/29/2019

Salient Instance Segmentation via Subitizing and Clustering

The goal of salient region detection is to identify the regions of an im...

Jialun Pei, et al. ∙

research

∙ 12/31/2019

Diversity Transfer Network for Few-Shot Learning

Few-shot learning is a challenging task that aims at training a classifi...

Mengting Chen, et al. ∙

research

∙ 12/22/2021

Decentralized Task Offloading in Edge Computing: A Multi-User Multi-Armed Bandit Approach

Mobile edge computing facilitates users to offload computation tasks to ...

Xiong Wang, et al. ∙

research

∙ 03/28/2022

DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation

Deep learning has shown impressive performance in semantic segmentation,...

Xuedou Xiao, et al. ∙

research

∙ 09/23/2019

Robust Local Features for Improving the Generalization of Adversarial Training

Adversarial training has been demonstrated as one of the most effective ...

Chubiao Song, et al. ∙

research

∙ 01/09/2020

Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction

Dimensionality reduction is an important operation in information visual...

Zhenhua Shi, et al. ∙

research

∙ 04/04/2020

A Simple Baseline for Multi-Object Tracking

There has been remarkable progress on object detection and re-identifica...

Yifu Zhan, et al. ∙

research

∙ 07/06/2021

Integrating Circle Kernels into Convolutional Neural Networks

The square kernel is a standard unit for contemporary Convolutional Neur...

Kun He, et al. ∙

research

∙ 11/16/2021

MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar

Crucial for healthcare and biomedical applications, respiration monitori...

Tianyue Zheng, et al. ∙

research

∙ 12/17/2018

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

In this paper, we address the problem of synthesizing multi-parameter ma...

Zhiwei Wang, et al. ∙

research

∙ 07/26/2019

Unsupervised Learning Framework of Interest Point Via Properties Optimization

This paper presents an entirely unsupervised interest point training fra...

Pei Yan, et al. ∙

research

∙ 09/25/2019

EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training

Drowsy driving is pervasive, and also a major cause of traffic accidents...

Yuqi Cuui, et al. ∙

research

∙ 03/25/2020

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

Ensembling deep learning models is a shortcut to promote its implementat...

Jun Yang, et al. ∙

research

∙ 08/25/2021

YOLOP: You Only Look Once for Panoptic Driving Perception

A panoptic driving perception system is an essential part of autonomous ...

Dong Wu, et al. ∙

research

∙ 12/03/2021

Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior

Deep learning-based methods for low-light image enhancement typically re...

Feng Zhang, et al. ∙

research

∙ 03/27/2022

Knowledge Mining with Scene Text for Fine-Grained Recognition

Recently, the semantics of scene text has been proven to be essential in...

Hao Wang, et al. ∙

research

∙ 04/14/2022

MARF: Multiscale Adaptive-switch Random Forest for Leg Detection with 2D Laser Scanners

For the 2D laser-based tasks, e.g., people detection and people tracking...

Tianxi Wang, et al. ∙

research

∙ 11/15/2019

Single Image Reflection Removal through Cascaded Refinement

We address the problem of removing undesirable reflections from a single...

Chao Li, et al. ∙

research

∙ 12/12/2019

IoU-aware Single-stage Object Detector for Accurate Localization

Due to the simpleness and high efficiency, single-stage object detectors...

Shengkai Wu, et al. ∙

research

∙ 09/22/2021

Joint Optical Neuroimaging Denoising with Semantic Tasks

Optical neuroimaging is a vital tool for understanding the brain structu...

Tianfang Zhu, et al. ∙

Huazhong University of Science u0026 Technology

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