b'Hao Chen'

Efficient Transformer based Method for Remote Sensing Image Change Detection

Modern change detection (CD) has achieved remarkable success by the powe...
02/27/2021 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Panoramic annular SLAM with loop closure and global optimization

In this paper, we propose PA-SLAM, a monocular panoramic annular visual ...
02/26/2021 ∙ by Hao Chen, et al. ∙ 6 ∙ share

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Instance and Panoptic Segmentation Using Conditional Convolutions

We propose a simple yet effective framework for instance and panoptic se...
02/05/2021 ∙ by Zhi Tian, et al. ∙ 0 ∙ share

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Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data

Objective: Magnetic Resonance Spectroscopy (MRS) is a noninvasive tool t...
01/26/2021 ∙ by Wanqi Hu, et al. ∙ 17 ∙ share

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Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline

The control of traffic signals is fundamental and critical to alleviate ...
01/24/2021 ∙ by Hu Wang, et al. ∙ 0 ∙ share

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Algebraic Geometric Secret Sharing Schemes over Large Fields Are Asymptotically Threshold

In Chen-Cramer Crypto 2006 paper <cit.> algebraic geometric secret shari...
01/05/2021 ∙ by Fan Peng, et al. ∙ 0 ∙ share

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Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration

Recently, much attention has been spent on neural architecture search (N...
12/24/2020 ∙ by Haokui Zhang, et al. ∙ 8 ∙ share

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Learn molecular representations from large-scale unlabeled molecules for drug discovery

How to produce expressive molecular representations is a fundamental cha...
12/21/2020 ∙ by Pengyong Li, et al. ∙ 19 ∙ share

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Joint Generative and Contrastive Learning for Unsupervised Person Re-identification

Annotating identity labels in large-scale datasets is a labour-intensive...
12/16/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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GTA: Global Temporal Attention for Video Action Understanding

Self-attention learns pairwise interactions via dot products to model lo...
12/15/2020 ∙ by Bo He, et al. ∙ 0 ∙ share

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Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation

By integrating two powerful methods of density reduction and intrinsic d...
12/13/2020 ∙ by Jingxin Zhang, et al. ∙ 0 ∙ share

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An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring

An improved mixture of probabilistic principal component analysis (PPCA)...
12/12/2020 ∙ by Jingxin Zhang, et al. ∙ 0 ∙ share

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The Lottery Ticket Hypothesis for Object Recognition

Recognition tasks, such as object recognition and keypoint estimation, h...
12/08/2020 ∙ by Sharath Girish, et al. ∙ 0 ∙ share

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Backpropagating Linearly Improves Transferability of Adversarial Examples

The vulnerability of deep neural networks (DNNs) to adversarial examples...
12/07/2020 ∙ by Yiwen Guo, et al. ∙ 0 ∙ share

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Practical No-box Adversarial Attacks against DNNs

The study of adversarial vulnerabilities of deep neural networks (DNNs) ...
12/04/2020 ∙ by Qizhang Li, et al. ∙ 0 ∙ share

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BoxInst: High-Performance Instance Segmentation with Box Annotations

We present a high-performance method that can achieve mask-level instanc...
12/03/2020 ∙ by Zhi Tian, et al. ∙ 0 ∙ share

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Pareto Deterministic Policy Gradients and Its Application in 5G Massive MIMO Networks

In this paper, we consider jointly optimizing cell load balance and netw...
12/02/2020 ∙ by Zhou Zhou, et al. ∙ 0 ∙ share

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Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identification

The objective of unsupervised person re-identification (Re-ID) is to lea...
11/27/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions

Recently, fully-convolutional one-stage networks have shown superior per...
11/19/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Generalized Kernel Two-Sample Tests

Kernel two-sample tests have been widely used for multivariate data in t...
11/12/2020 ∙ by Hoseung Song, et al. ∙ 0 ∙ share

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Approaches to Linear Mixed Effects Models with Sign Constraints

Linear Mixed Effects (LME) models have been widely applied in clustered ...
11/09/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification

The whole slide histopathology images (WSIs) play a critical role in gas...
10/13/2020 ∙ by Shujun Wang, et al. ∙ 7 ∙ share

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Real-Time Detection of Simulator Sickness in Virtual Reality Games Based on Players' Psychophysiological Data during Gameplay

Virtual Reality (VR) technology has been proliferating in the last decad...
10/13/2020 ∙ by Jialin Wang, et al. ∙ 0 ∙ share

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QarSUMO: A Parallel, Congestion-optimized Traffic Simulator

Traffic simulators are important tools for tasks such as urban planning ...
10/07/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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An In-Depth Exploration of the Effect of 2D/3D Views and Controller Types on First Person Shooter Games in Virtual Reality

The amount of interest in Virtual Reality (VR) research has significantl...
10/07/2020 ∙ by Diego Monteiro, et al. ∙ 0 ∙ share

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Online Action Detection in Streaming Videos with Time Buffers

We formulate the problem of online temporal action detection in live str...
10/06/2020 ∙ by Bowen Zhang, et al. ∙ 6 ∙ share

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Machine-learning-enhanced time-of-flight mass spectrometry analysis

Mass spectrometry is a widespread approach to work out what are the cons...
10/02/2020 ∙ by Ye Wei, et al. ∙ 0 ∙ share

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Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing

Big data, including applications with high security requirements, are of...
10/02/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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A Comprehensive Review for MRF and CRF Approaches in Pathology Image Analysis

Pathology image analysis is an essential procedure for clinical diagnosi...
09/29/2020 ∙ by Chen Li, et al. ∙ 14 ∙ share

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Hierarchical Marketing Mix Models with Sign Constraints

Marketing mix models (MMMs) are statistical models for measuring the eff...
08/28/2020 ∙ by Hao Chen, et al. ∙ 5 ∙ share

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Parameter-controlled inserting constructions of constant dimension subspace codes

A basic problem in constant dimension subspace coding is to determine th...
08/23/2020 ∙ by Huimin Lao, et al. ∙ 0 ∙ share

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Yet Another Intermediate-Level Attack

The transferability of adversarial examples across deep neural network (...
08/20/2020 ∙ by Qizhang Li, et al. ∙ 3 ∙ share

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A Note on the Sum of Non-Identically Distributed Doubly Truncated Normal Distributions

It is proved that the sum of n independent but non-identically distribut...
08/18/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning

3D human shape and pose estimation from monocular images has been an act...
07/27/2020 ∙ by Xiangyu Xu, et al. ∙ 7 ∙ share

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Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation

Deep learning methods show promising results for overlapping cervical ce...
07/21/2020 ∙ by Yanning Zhou, et al. ∙ 8 ∙ share

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New Non-parametric Tests for Multivariate Paired Data

Paired data are common in many fields, such as medical diagnosis and lon...
07/03/2020 ∙ by Jingru Zhang, et al. ∙ 0 ∙ share

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Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet

Ensemble learning is a general technique to improve accuracy in machine ...
07/01/2020 ∙ by Hao Chen, et al. ∙ 20 ∙ share

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A Fast and Efficient Change-point Detection Framework for Modern Data

Change-point analysis is thriving in this big data era to address proble...
06/24/2020 ∙ by Yi-Wei Liu, et al. ∙ 0 ∙ share

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Asymptotic distribution-free change-point detection for data with repeated observations

In the regime of change-point detection, a nonparametric framework based...
06/18/2020 ∙ by Hoseung Song, et al. ∙ 0 ∙ share

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FCOS: A simple and strong anchor-free object detector

In computer vision, object detection is one of most important tasks, whi...
06/14/2020 ∙ by Zhi Tian, et al. ∙ 17 ∙ share

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Single-Layer Graph Convolutional Networks For Recommendation

Graph Convolutional Networks (GCNs) and their variants have received sig...
06/07/2020 ∙ by Yue Xu, et al. ∙ 16 ∙ share

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Deep Mining External Imperfect Data for Chest X-ray Disease Screening

Deep learning approaches have demonstrated remarkable progress in automa...
06/06/2020 ∙ by Luyang Luo, et al. ∙ 13 ∙ share

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Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games

In Markov games, playing against non-stationary opponents with learning ...
05/26/2020 ∙ by Hao Chen, et al. ∙ 6 ∙ share

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Integrating Combined Task and Motion Planning with Compliant Control

Planning a motion for inserting pegs remains an open problem. The diffic...
03/26/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization

The alternating direction method of multipliers (ADMM) has been recently...
03/24/2020 ∙ by Yu Ye, et al. ∙ 0 ∙ share

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Cardiovascular risk and work stress in biomedical researchers in China: An observational, big data study protocol

Introduction: Internet technologies could strengthen data collection and...
03/19/2020 ∙ by Fang Zhu, et al. ∙ 0 ∙ share

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Conditional Convolutions for Instance Segmentation

We propose a simple yet effective instance segmentation framework, terme...
03/12/2020 ∙ by Zhi Tian, et al. ∙ 7 ∙ share

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Planning to Build Soma Blocks Using a Dual-arm Robot

This paper presents a planner that can automatically find an optimal ass...
03/02/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

Scene text detection and recognition has received increasing research at...
02/24/2020 ∙ by Yuliang Liu, et al. ∙ 17 ∙ share

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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Accurate medical image segmentation commonly requires effective learning...
02/22/2020 ∙ by Cheng Chen, et al. ∙ 10 ∙ share

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Hao Chen

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