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Efficient Transformer based Method for Remote Sensing Image Change Detection
Modern change detection (CD) has achieved remarkable success by the powe...
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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 ...
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Instance and Panoptic Segmentation Using Conditional Convolutions
We propose a simple yet effective framework for instance and panoptic se...
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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...
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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 ...
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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...
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Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
Recently, much attention has been spent on neural architecture search (N...
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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...
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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...
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GTA: Global Temporal Attention for Video Action Understanding
Self-attention learns pairwise interactions via dot products to model lo...
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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...
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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)...
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The Lottery Ticket Hypothesis for Object Recognition
Recognition tasks, such as object recognition and keypoint estimation, h...
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Backpropagating Linearly Improves Transferability of Adversarial Examples
The vulnerability of deep neural networks (DNNs) to adversarial examples...
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Practical No-box Adversarial Attacks against DNNs
The study of adversarial vulnerabilities of deep neural networks (DNNs) ...
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BoxInst: High-Performance Instance Segmentation with Box Annotations
We present a high-performance method that can achieve mask-level instanc...
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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...
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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...
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Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions
Recently, fully-convolutional one-stage networks have shown superior per...
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Generalized Kernel Two-Sample Tests
Kernel two-sample tests have been widely used for multivariate data in t...
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Approaches to Linear Mixed Effects Models with Sign Constraints
Linear Mixed Effects (LME) models have been widely applied in clustered ...
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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...
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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...
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QarSUMO: A Parallel, Congestion-optimized Traffic Simulator
Traffic simulators are important tools for tasks such as urban planning ...
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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...
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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...
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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...
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Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing
Big data, including applications with high security requirements, are of...
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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...
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Hierarchical Marketing Mix Models with Sign Constraints
Marketing mix models (MMMs) are statistical models for measuring the eff...
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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...
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Yet Another Intermediate-Level Attack
The transferability of adversarial examples across deep neural network (...
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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...
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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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Single-Layer Graph Convolutional Networks For Recommendation
Graph Convolutional Networks (GCNs) and their variants have received sig...
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Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep learning approaches have demonstrated remarkable progress in automa...
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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 ...
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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...
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Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization
The alternating direction method of multipliers (ADMM) has been recently...
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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...
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Conditional Convolutions for Instance Segmentation
We propose a simple yet effective instance segmentation framework, terme...
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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...
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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...
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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Accurate medical image segmentation commonly requires effective learning...
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