astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.ST - 统计理论 physics.optics - 光学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Comparison of classical and Bayesian imaging in radio interferometry
• [cs.AI]Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations
• [cs.AI]Say “Sul Sul!” to SimSim, A Sims-Inspired Platform for Sandbox Game AI
• [cs.AI]The Effects of Quantum Randomness on a System Exhibiting Computational Creativity
• [cs.AI]Uncovering Soccer Teams Passing Strategies Using Implication Rules
• [cs.CL]A Baseline Analysis for Podcast Abstractive Summarization
• [cs.CL]Concept Extraction Using Pointer-Generator Networks
• [cs.CL]Decision Tree J48 at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text (Hinglish)
• [cs.CL]Discrete Word Embedding for Logical Natural Language Understanding
• [cs.CL]Extractive Summarizer for Scholarly Articles
• [cs.CL]Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
• [cs.CL]Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection
• [cs.CL]Language Models and Word Sense Disambiguation: An Overview and Analysis
• [cs.CL]Machine learning approach of Japanese composition scoring and writing aided system’s design
• [cs.CL]The Impact of Indirect Machine Translation on Sentiment Classification
• [cs.CR]”My Friend Wanted to Talk About It and I Didn’t”: Understanding Perceptions of Deletion Privacy in Social Platforms
• [cs.CR]GuardNN: Secure DNN Accelerator for Privacy-Preserving Deep Learning
• [cs.CR]Physically Unclonable Functions and AI: Two Decades of Marriage
• [cs.CR]SIGL: Securing Software Installations Through Deep Graph Learning
• [cs.CV]5G Utility Pole Planner Using Google Street View and Mask R-CNN
• [cs.CV]A Hidden Markov Tree Model for Flood Extent Mapping in Heavily Vegetated Areas based on High Resolution Aerial Imagery and DEM: A Case Study on Hurricane Matthew Floods
• [cs.CV]A Prospective Study on Sequence-Driven Temporal Sampling and Ego-Motion Compensation for Action Recognition in the EPIC-Kitchens Dataset
• [cs.CV]AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs
• [cs.CV]An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network
• [cs.CV]Anime-to-Real Clothing: Cosplay Costume Generation via Image-to-Image Translation
• [cs.CV]Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots
• [cs.CV]Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes
• [cs.CV]Buy Me That Look: An Approach for Recommending Similar Fashion Products
• [cs.CV]Cross-Spectral Periocular Recognition with Conditional Adversarial Networks
• [cs.CV]Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network
• [cs.CV]DRG: Dual Relation Graph for Human-Object Interaction Detection
• [cs.CV]Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy
• [cs.CV]DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic
• [cs.CV]Delving into Inter-Image Invariance for Unsupervised Visual Representations
• [cs.CV]Detection of Genuine and Posed Facial Expressions of Emotion: A Review
• [cs.CV]Determinantal Point Process as an alternative to NMS
• [cs.CV]Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation
• [cs.CV]DiverseNet: When One Right Answer is not Enough
• [cs.CV]Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization
• [cs.CV]Effective Action Recognition with Embedded Key Point Shifts
• [cs.CV]End-to-End 3D Multi-Object Tracking and Trajectory Forecasting
• [cs.CV]Estimating Example Difficulty using Variance of Gradients
• [cs.CV]Fusion of Global-Local Features for Image Quality Inspection of Shipping Label
• [cs.CV]Generating Handwriting via Decouple Style Descriptors
• [cs.CV]Gesture Recognition from Skeleton Data for Intuitive Human-Machine Interaction
• [cs.CV]HipaccVX: Wedding of OpenVX and DSL-based Code Generation
• [cs.CV]HoloLens 2 Research Mode as a Tool for Computer Vision Research
• [cs.CV]How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals
• [cs.CV]Keypoint-Aligned Embeddings for Image Retrieval and Re-identification
• [cs.CV]Learning Target Domain Specific Classifier for Partial Domain Adaptation
• [cs.CV]Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses
• [cs.CV]Making a Case for 3D Convolutions for Object Segmentation in Videos
• [cs.CV]Multi-Face: Self-supervised Multiview Adaptation for Robust Face Clustering in Videos
• [cs.CV]NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
• [cs.CV]Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network
• [cs.CV]Performance Optimization for Federated Person Re-identification via Benchmark Analysis
• [cs.CV]Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition in the Wild
• [cs.CV]RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features
• [cs.CV]SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
• [cs.CV]SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection
• [cs.CV]Semantic Graph Based Place Recognition for 3D Point Clouds
• [cs.CV]Synthetic Sample Selection via Reinforcement Learning
• [cs.CV]Temporal Action Localization with Variance-Aware Networks
• [cs.CV]Transductive Information Maximization For Few-Shot Learning
• [cs.CV]Vehicle Trajectory Prediction in Crowded Highway Scenarios Using Bird Eye View Representations and CNNs
• [cs.CV]Video Interpolation via Generalized Deformable Convolution
• [cs.CV]Weakly Supervised Learning with Side Information for Noisy Labeled Images
• [cs.CY]Data Mining Approach to Analyze Covid19 Dataset of Brazilian Patients
• [cs.CY]Ethical behavior in humans and machines — Evaluating training data quality for beneficial machine learning
• [cs.CY]Impact on the Productivity of Remotely Working IT Professionals of Bangladesh during the Coronavirus Disease 2019
• [cs.CY]Museum Accessibility Through Wi-Fi Indoor Positioning
• [cs.CY]Student Teamwork on Programming Projects: What can GitHub logs show us?
• [cs.DC]8 Steps to 3.7 TFLOP/s on NVIDIA V100 GPU: Roofline Analysis and Other Tricks
• [cs.DC]A Bilateral Game Approach for Task Outsourcing in Multi-access Edge Computing
• [cs.DC]APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm
• [cs.DC]Optimising AI Training Deployments using Graph Compilers and Containers
• [cs.DC]Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA
• [cs.DC]TZ4Fabric: Executing Smart Contracts with ARM TrustZone
• [cs.DS]Accelerating Force-Directed Graph Drawing with RT Cores
• [cs.DS]High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality
• [cs.ET]Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks
• [cs.HC]Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology
• [cs.IR]Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
• [cs.IR]Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors
• [cs.IR]Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach
• [cs.IR]Understanding Breast Implant Illness via Social Media Data Analysis
• [cs.IT]Computing Information Agreement
• [cs.IT]Convolutional Polar Kernels
• [cs.IT]Delay-Efficient and Reliable Data Relaying in Ultra Dense Networks using Rateless Codes
• [cs.IT]Secure Two-Way Communications via Intelligent Reflecting Surfaces
• [cs.IT]UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation
• [cs.IT]Wireless Communication via Double IRS: Channel Estimation and Passive Beamforming Designs
• [cs.LG]A simple method for domain adaptation of sentence embeddings
• [cs.LG]Accelerating Federated Learning in Heterogeneous Data and Computational Environments
• [cs.LG]An Adversarial Attack Defending System for Securing In-Vehicle Networks
• [cs.LG]Analysis of deep machine learning algorithms in COVID-19 disease diagnosis
• [cs.LG]Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing
• [cs.LG]Bandit Data-driven Optimization: AI for Social Good and Beyond
• [cs.LG]Benchmarking Semi-supervised Federated Learning
• [cs.LG]CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions
• [cs.LG]Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction
• [cs.LG]FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems
• [cs.LG]Gravilon: Applications of a New Gradient Descent Method to Machine Learning
• [cs.LG]How to tune the RBF SVM hyperparameters?: An empirical evaluation of 18 search algorithms
• [cs.LG]HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks
• [cs.LG]Inverse Policy Evaluation for Value-based Sequential Decision-making
• [cs.LG]Learning Robust Node Representation on Graphs
• [cs.LG]Machine learning applied in the multi-scale 3D stress modelling
• [cs.LG]Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction
• [cs.LG]Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance
• [cs.LG]Simplifying Architecture Search for Graph Neural Network
• [cs.LG]Training Multimodal Systems for Classification with Multiple Objectives
• [cs.LG]Uncertainty-Aware Surrogate Model For Oilfield Reservoir Simulation
• [cs.LG]What is being transferred in transfer learning?
• [cs.LO]Logic Signed Petri Net
• [cs.NE]Robust robotic control on the neuromorphic research chip Loihi
• [cs.NI]The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic
• [cs.RO]Advances in Human-Robot Handshaking
• [cs.RO]Automatic Generation of Road Geometries to Create Challenging Scenarios for Automated Vehicles Based on the Sensor Setup
• [cs.RO]Identification of Challenging Highway-Scenarios for the Safety Validation of Automated Vehicles Based on Real Driving Data
• [cs.RO]Intrinsic Motivation in Object-Action-Outcome Blending Latent Space
• [cs.RO]Leveraging Kernelized Synergies on Shared Subspace for Precision Grasp and Dexterous Manipulation
• [cs.RO]Reproducible Pruning System on Dynamic Natural Plants for Field Agricultural Robots
• [cs.RO]Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework
• [cs.RO]Self-Supervised Goal-Conditioned Pick and Place
• [cs.RO]Simulating Crowds and Autonomous Vehicles
• [cs.RO]Systematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models
• [cs.SI]A Framework for Quantifying Controversy of Social Network Debates Using Attributed Networks: Biased Random Walk (BRW)
• [cs.SI]A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo
• [cs.SI]Blind Inference of Eigenvector Centrality Rankings
• [cs.SI]Identifying Coordinated Accounts in Disinformation Campaigns
• [cs.SI]Popularity and Centrality in Spotify Networks: Critical transitions in eigenvector centrality
• [eess.AS]Adversarially Training for Audio Classifiers
• [eess.AS]DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in Degraded Audio Signals
• [eess.IV]3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction
• [eess.IV]Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement Networks
• [eess.IV]DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed Radiographs
• [eess.IV]Detection of Retinal Blood Vessels by using Gabor filter with Entropic threshold
• [eess.IV]Disentangled Representations for Domain-generalized Cardiac Segmentation
• [eess.IV]Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference
• [eess.IV]Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
• [eess.IV]Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic Filters
• [eess.IV]On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets
• [eess.IV]Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology
• [eess.IV]Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans
• [eess.IV]Variational Image Restoration Network
• [eess.SP]A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery
• [eess.SP]A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis
• [eess.SP]Beyond 5G Wireless Localization with Reconfigurable Intelligent Surfaces
• [math.OC]Comparison of Centralized and Decentralized Approaches in Cooperative Coverage Problems with Energy-Constrained Agents
• [math.OC]Integrated Cutting and Packing Heterogeneous Precast Beams Multiperiod Production Planning Problem
• [math.OC]Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
• [math.OC]Variance-Reduced Proximal and Splitting Schemes for Monotone Stochastic Generalized Equations
• [math.ST]On the power of Chatterjee rank correlation
• [physics.optics]Parallel photonic reservoir computing based on frequency multiplexing of neurons
• [physics.soc-ph]Disappearing errors in a conversion model
• [physics.soc-ph]Uncovering Hidden Dependency in Weighted Networks via Information Entropy
• [q-bio.NC]Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning
• [q-bio.QM]Towards Structured Prediction in Bioinformatics with Deep Learning
• [stat.AP]Estimating conditional probabilities of historical migrations in the transatlantic slave trade using kriging and Markov decision process models
• [stat.AP]Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Prediction Sets
• [stat.AP]Modeling Cell Populations Measured By Flow Cytometry With Covariates Using Sparse Mixture of Regressions
• [stat.AP]Truncated generalized extreme value distribution based EMOS model for calibration of wind speed ensemble forecasts
• [stat.ME]A note on data splitting with e-values: online appendix to my comment on Glenn Shafer’s “Testing by betting”
• [stat.ME]Assessing Impact of Unobserved Confounders with Sensitivity Index Probabilities through Pseudo-Experiments
• [stat.ME]Bellman filtering for state-space models
• [stat.ME]Complexity as Causal Information Integration
• [stat.ME]Stochastic filters based on hybrid approximations of multiscale stochastic reaction networks
• [stat.ML]A general kernel boosting framework integrating pathways for predictive modeling based on genomic data
• [stat.ML]Deep Networks and the Multiple Manifold Problem
• [stat.ML]Identifying Critical States by the Action-Based Variance of Expected Return
• [stat.ML]SOAR: Simultaneous Or of And Rules for Classification of Positive & Negative Classes
·····································
• [astro-ph.IM]Comparison of classical and Bayesian imaging in radio interferometry
Philipp Arras, Richard A. Perley, Hertzog L. Bester, Reimar Leike, Oleg Smirnov, Rüdiger Westermann, Torsten A. Enßlin
http://arxiv.org/abs/2008.11435v1
• [cs.AI]Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations
Alvaro Cabrejas-Egea, Shaun Howell, Maksis Knutins, Colm Connaughton
http://arxiv.org/abs/2008.11634v1
• [cs.AI]Say “Sul Sul!” to SimSim, A Sims-Inspired Platform for Sandbox Game AI
Megan Charity, Dipika Rajesh, Rachel Ombok, L. B. Soros
http://arxiv.org/abs/2008.11258v1
• [cs.AI]The Effects of Quantum Randomness on a System Exhibiting Computational Creativity
Azlan Iqbal
http://arxiv.org/abs/2008.11545v1
• [cs.AI]Uncovering Soccer Teams Passing Strategies Using Implication Rules
Olumide Leshi
http://arxiv.org/abs/2008.11229v1
• [cs.CL]A Baseline Analysis for Podcast Abstractive Summarization
Chujie Zheng, Harry Jiannan Wang, Kunpeng Zhang, Ling Fan
http://arxiv.org/abs/2008.10648v2
• [cs.CL]Concept Extraction Using Pointer-Generator Networks
Alexander Shvets, Leo Wanner
http://arxiv.org/abs/2008.11295v1
• [cs.CL]Decision Tree J48 at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text (Hinglish)
Gaurav Singh
http://arxiv.org/abs/2008.11398v1
• [cs.CL]Discrete Word Embedding for Logical Natural Language Understanding
Masataro Asai, Zilu Tang
http://arxiv.org/abs/2008.11649v1
• [cs.CL]Extractive Summarizer for Scholarly Articles
Athar Sefid, Clyde Lee Giles, Prasenjit Mitra
http://arxiv.org/abs/2008.11290v1
• [cs.CL]Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
Byron C. Wallace, Sayantan Saha, Frank Soboczenski, Iain J. Marshall
http://arxiv.org/abs/2008.11293v1
• [cs.CL]Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection
Dmitry Grigorev, Vladimir Ivanov
http://arxiv.org/abs/2008.11584v1
• [cs.CL]Language Models and Word Sense Disambiguation: An Overview and Analysis
Daniel Loureiro, Kiamehr Rezaee, Mohammad Taher Pilehvar, Jose Camacho-Collados
http://arxiv.org/abs/2008.11608v1
• [cs.CL]Machine learning approach of Japanese composition scoring and writing aided system’s design
Wanhong Huang
http://arxiv.org/abs/2008.11488v1
• [cs.CL]The Impact of Indirect Machine Translation on Sentiment Classification
Alberto Poncelas, Pintu Lohar, Andy Way, James Hadley
http://arxiv.org/abs/2008.11257v1
• [cs.CR]“My Friend Wanted to Talk About It and I Didn’t”: Understanding Perceptions of Deletion Privacy in Social Platforms
Mohsen Minaei, Mainack Mondal, Aniket Kate
http://arxiv.org/abs/2008.11317v1
• [cs.CR]GuardNN: Secure DNN Accelerator for Privacy-Preserving Deep Learning
Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh
http://arxiv.org/abs/2008.11632v1
• [cs.CR]Physically Unclonable Functions and AI: Two Decades of Marriage
Fatemeh Ganji, Shahin Tajik
http://arxiv.org/abs/2008.11355v1
• [cs.CR]SIGL: Securing Software Installations Through Deep Graph Learning
Xueyuan Han, Xiao Yu, Thomas Pasquier, Ding Li, Junghwan Rhee, James Mickens, Margo Seltzer, Haifeng Chen
http://arxiv.org/abs/2008.11533v1
• [cs.CV]5G Utility Pole Planner Using Google Street View and Mask R-CNN
Yanyu Zhang, Osama Alshaykh
http://arxiv.org/abs/2008.11689v1
• [cs.CV]A Hidden Markov Tree Model for Flood Extent Mapping in Heavily Vegetated Areas based on High Resolution Aerial Imagery and DEM: A Case Study on Hurricane Matthew Floods
Zhe Jiang, Arpan Man Sainju
http://arxiv.org/abs/2008.11230v1
• [cs.CV]A Prospective Study on Sequence-Driven Temporal Sampling and Ego-Motion Compensation for Action Recognition in the EPIC-Kitchens Dataset
Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós
http://arxiv.org/abs/2008.11588v1
• [cs.CV]AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs
Julien Despois, Frederic Flament, Matthieu Perrot
http://arxiv.org/abs/2008.10960v2
• [cs.CV]An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network
Chunhui Li, Xingshu Chen, Haizhou Wang, Yu Zhang, Peiming Wang
http://arxiv.org/abs/2008.11603v1
• [cs.CV]Anime-to-Real Clothing: Cosplay Costume Generation via Image-to-Image Translation
Koya Tango, Marie Katsurai, Hayato Maki, Ryosuke Goto
http://arxiv.org/abs/2008.11479v1
• [cs.CV]Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots
Hengli Wang, Rui Fan, Yuxiang Sun, Ming Liu
http://arxiv.org/abs/2008.11383v1
• [cs.CV]Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes
Rajdeep Hazra Banerjee, Abhinav Ravi, Ujjal Kr Dutta
http://arxiv.org/abs/2008.11662v1
• [cs.CV]Buy Me That Look: An Approach for Recommending Similar Fashion Products
Abhinav Ravi, Sandeep Repakula, Ujjal Kr Dutta, Maulik Parmar
http://arxiv.org/abs/2008.11638v1
• [cs.CV]Cross-Spectral Periocular Recognition with Conditional Adversarial Networks
Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun
http://arxiv.org/abs/2008.11604v1
• [cs.CV]Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network
Juepeng Zheng, Haohuan Fu, Weijia Li, Wenzhao Wu, Yi Zhao, Runmin Dong, Le Yu
http://arxiv.org/abs/2008.11505v1
• [cs.CV]DRG: Dual Relation Graph for Human-Object Interaction Detection
Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang
http://arxiv.org/abs/2008.11714v1
• [cs.CV]Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy
Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
http://arxiv.org/abs/2008.11269v1
• [cs.CV]DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic
Mahdi Rezaei, Mohsen Azarmi
http://arxiv.org/abs/2008.11672v1
• [cs.CV]Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy
http://arxiv.org/abs/2008.11702v1
• [cs.CV]Detection of Genuine and Posed Facial Expressions of Emotion: A Review
Shan Jia, Shuo Wang, Chuanbo Hu, Paula Webster, Xin Li
http://arxiv.org/abs/2008.11353v1
• [cs.CV]Determinantal Point Process as an alternative to NMS
Samik Some, Mithun Das Gupta, Vinay P. Namboodiri
http://arxiv.org/abs/2008.11451v1
• [cs.CV]Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation
Taotao Jing, Ming Shao, Zhengming Ding
http://arxiv.org/abs/2008.11360v1
• [cs.CV]DiverseNet: When One Right Answer is not Enough
Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow
http://arxiv.org/abs/2008.10634v1
• [cs.CV]Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization
Tingyu Wang, Zhedong Zheng, Chenggang Yan, Yi Yang
http://arxiv.org/abs/2008.11646v1
• [cs.CV]Effective Action Recognition with Embedded Key Point Shifts
Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
http://arxiv.org/abs/2008.11378v1
• [cs.CV]End-to-End 3D Multi-Object Tracking and Trajectory Forecasting
Xinshuo Weng, Ye Yuan, Kris Kitani
http://arxiv.org/abs/2008.11598v1
• [cs.CV]Estimating Example Difficulty using Variance of Gradients
Chirag Agarwal, Sara Hooker
http://arxiv.org/abs/2008.11600v1
• [cs.CV]Fusion of Global-Local Features for Image Quality Inspection of Shipping Label
Sungho Suh, Paul Lukowicz, Yong Oh Lee
http://arxiv.org/abs/2008.11440v1
• [cs.CV]Generating Handwriting via Decouple Style Descriptors
Atsunobu Kotani, Stefanie Tellex, James Tompkin
http://arxiv.org/abs/2008.11354v1
• [cs.CV]Gesture Recognition from Skeleton Data for Intuitive Human-Machine Interaction
André Brás, Miguel Simão, Pedro Neto
http://arxiv.org/abs/2008.11497v1
• [cs.CV]HipaccVX: Wedding of OpenVX and DSL-based Code Generation
M. Akif Özkan, Burak Ok, Bo Qiao, Jürgen Teich, Frank Hannig
http://arxiv.org/abs/2008.11476v1
• [cs.CV]HoloLens 2 Research Mode as a Tool for Computer Vision Research
Dorin Ungureanu, Federica Bogo, Silvano Galliani, Pooja Sama, Xin Duan, Casey Meekhof, Jan Stühmer, Thomas J. Cashman, Bugra Tekin, Johannes L. Schönberger, Pawel Olszta, Marc Pollefeys
http://arxiv.org/abs/2008.11239v1
• [cs.CV]How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals
Umur Aybars Ciftci, Ilke Demir, Lijun Yin
http://arxiv.org/abs/2008.11363v1
• [cs.CV]Keypoint-Aligned Embeddings for Image Retrieval and Re-identification
Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh
http://arxiv.org/abs/2008.11368v1
• [cs.CV]Learning Target Domain Specific Classifier for Partial Domain Adaptation
Chuan-Xian Ren, Pengfei Ge, Peiyi Yang, Shuicheng Yan
http://arxiv.org/abs/2008.10785v1
• [cs.CV]Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses
Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman
http://arxiv.org/abs/2008.11300v1
• [cs.CV]Making a Case for 3D Convolutions for Object Segmentation in Videos
Sabarinath Mahadevan, Ali Athar, Aljoša Ošep, Sebastian Hennen, Laura Leal-Taixé, Bastian Leibe
http://arxiv.org/abs/2008.11516v1
• [cs.CV]Multi-Face: Self-supervised Multiview Adaptation for Robust Face Clustering in Videos
Krishna Somandepalli, Rajat Hebbar, Shrikanth Narayanan
http://arxiv.org/abs/2008.11289v1
• [cs.CV]NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
Yun-Chun Chen, Chen Gao, Esther Robb, Jia-Bin Huang
http://arxiv.org/abs/2008.11713v1
• [cs.CV]Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network
Tsai-Shien Chen, Chih-Ting Liu, Chih-Wei Wu, Shao-Yi Chien
http://arxiv.org/abs/2008.11423v1
• [cs.CV]Performance Optimization for Federated Person Re-identification via Benchmark Analysis
Weiming Zhuang, Yonggang Wen, Xuesen Zhang, Xin Gan, Daiying Yin, Dongzhan Zhou, Shuai Zhang, Shuai Yi
http://arxiv.org/abs/2008.11560v1
• [cs.CV]Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition in the Wild
Ping Liu, Yuewei Lin, Zibo Meng, Weihong Deng, Joey Tianyi Zhou, Yi Yang
http://arxiv.org/abs/2008.11401v1
• [cs.CV]RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features
Javier Lorenzo, Ignacio Parra, Florian Wirth, Christoph Stiller, David Fernandez Llorca, Miguel Angel Sotelo
http://arxiv.org/abs/2008.11647v1
• [cs.CV]SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao, Xiaowei Zhou
http://arxiv.org/abs/2008.11469v1
• [cs.CV]SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection
Rui Fan, Hengli Wang, Peide Cai, Ming Liu
http://arxiv.org/abs/2008.11351v1
• [cs.CV]Semantic Graph Based Place Recognition for 3D Point Clouds
Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong Liu, Wanlong Li, Feng Wen
http://arxiv.org/abs/2008.11459v1
• [cs.CV]Synthetic Sample Selection via Reinforcement Learning
Jiarong Ye, Yuan Xue, L. Rodney Long, Sameer Antani, Zhiyun Xue, Keith Cheng, Xiaolei Huang
http://arxiv.org/abs/2008.11331v1
• [cs.CV]Temporal Action Localization with Variance-Aware Networks
Ting-Ting Xie, Christos Tzelepis, Ioannis Patras
http://arxiv.org/abs/2008.11254v1
• [cs.CV]Transductive Information Maximization For Few-Shot Learning
Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed
http://arxiv.org/abs/2008.11297v1
• [cs.CV]Vehicle Trajectory Prediction in Crowded Highway Scenarios Using Bird Eye View Representations and CNNs
R. Izquierdo, A. Quintanar, I. Parra, D. Fernandez-Llorca, M. A. Sotelo
http://arxiv.org/abs/2008.11493v1
• [cs.CV]Video Interpolation via Generalized Deformable Convolution
Zhihao Shi, Xiaohong Liu, Kangdi Shi, Linhui Dai, Jun Chen
http://arxiv.org/abs/2008.10680v1
• [cs.CV]Weakly Supervised Learning with Side Information for Noisy Labeled Images
Lele Cheng, Xiangzeng Zhou, Liming Zhao, Dangwei Li, Hong Shang, Yun Zheng, Pan Pan, Yinghui Xu
http://arxiv.org/abs/2008.11586v1
• [cs.CY]Data Mining Approach to Analyze Covid19 Dataset of Brazilian Patients
Josimar E. Chire Saire
http://arxiv.org/abs/2008.11344v1
• [cs.CY]Ethical behavior in humans and machines — Evaluating training data quality for beneficial machine learning
Thilo Hagendorff
http://arxiv.org/abs/2008.11463v1
• [cs.CY]Impact on the Productivity of Remotely Working IT Professionals of Bangladesh during the Coronavirus Disease 2019
Kishan Kumar Ganguly, Noshin Tahsin, Mridha Md. Nafis Fuad, Toukir Ahammed, Moumita Asad, Fatiul Huq Sujoy, A. T. M. Fazlay Rabbi, Kazi Sakib
http://arxiv.org/abs/2008.11636v1
• [cs.CY]Museum Accessibility Through Wi-Fi Indoor Positioning
Antonio Bracco, Federico Grunwald, Agustin Navcevich, Germán Capdehourat, Federico Larroca
http://arxiv.org/abs/2008.11340v1
• [cs.CY]Student Teamwork on Programming Projects: What can GitHub logs show us?
Niki Gitinabard, Ruth Okoilu, Yiqao Xu, Sarah Heckman, Tiffany Barnes, Collin Lynch
http://arxiv.org/abs/2008.11262v1
• [cs.DC]8 Steps to 3.7 TFLOP/s on NVIDIA V100 GPU: Roofline Analysis and Other Tricks
Charlene Yang
http://arxiv.org/abs/2008.11326v1
• [cs.DC]A Bilateral Game Approach for Task Outsourcing in Multi-access Edge Computing
Zheng Xiao, Dan He, Yu Chen, Anthony Theodore Chronopoulos, Schahram Dustdar, Jiayi Du
http://arxiv.org/abs/2008.11617v1
• [cs.DC]APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm
Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ce Zhang, Ji Liu, Yuxiong He
http://arxiv.org/abs/2008.11343v1
• [cs.DC]Optimising AI Training Deployments using Graph Compilers and Containers
Nina Mujkanovic, Karthee Sivalingam, Alfio Lazzaro
http://arxiv.org/abs/2008.11675v1
• [cs.DC]Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
http://arxiv.org/abs/2008.11421v1
• [cs.DC]TZ4Fabric: Executing Smart Contracts with ARM TrustZone
Christina Müller, Marcus Brandenburger, Christian Cachin, Pascal Felber, Christian Göttel, Valerio Schiavoni
http://arxiv.org/abs/2008.11601v1
• [cs.DS]Accelerating Force-Directed Graph Drawing with RT Cores
Stefan Zellmann, Martin Weier, Ingo Wald
http://arxiv.org/abs/2008.11235v1
• [cs.DS]High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality
Maciej Besta, Armon Carigiet, Zur Vonarburg-Shmaria, Kacper Janda, Lukas Gianinazzi, Torsten Hoefler
http://arxiv.org/abs/2008.11321v1
• [cs.ET]Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks
Abhiroop Bhattacharjee, Priyadarshini Panda
http://arxiv.org/abs/2008.11298v1
• [cs.HC]Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology
Andrew Wentzel, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Mohamed, Clifton David Fuller, G. Elisabeta Marai
http://arxiv.org/abs/2008.11282v1
• [cs.IR]Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
http://arxiv.org/abs/2008.11567v1
• [cs.IR]Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors
Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
http://arxiv.org/abs/2008.11400v1
• [cs.IR]Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach
Diego Sánchez-Moreno, Yong Zheng, María N. Moreno-García
http://arxiv.org/abs/2008.11432v1
• [cs.IR]Understanding Breast Implant Illness via Social Media Data Analysis
Vishal Dey, Peter Krasniak, Minh Nguyen, Clara Lee, Xia Ning
http://arxiv.org/abs/2008.11238v1
• [cs.IT]Computing Information Agreement
Alberto Casagrande, Francesco Fabris, Rossano Girometti
http://arxiv.org/abs/2008.11701v1
• [cs.IT]Convolutional Polar Kernels
Ruslan Morozov
http://arxiv.org/abs/2008.11611v1
• [cs.IT]Delay-Efficient and Reliable Data Relaying in Ultra Dense Networks using Rateless Codes
Luyao Shang, Morteza Hashemi, Taejoon Kim, Erik Perrins
http://arxiv.org/abs/2008.11265v1
• [cs.IT]Secure Two-Way Communications via Intelligent Reflecting Surfaces
Lu Lv, Qingqing Wu, Zan Li, Naofal Al-Dhahir, Jian Chen
http://arxiv.org/abs/2008.11352v1
• [cs.IT]UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation
Sultangali Arzykulov, Abdulkadir Celik, Galymzhan Nauryzbayev, Ahmed M. Eltawil
http://arxiv.org/abs/2008.11356v1
• [cs.IT]Wireless Communication via Double IRS: Channel Estimation and Passive Beamforming Designs
Changsheng You, Beixiong Zheng, Rui Zhang
http://arxiv.org/abs/2008.11439v1
• [cs.LG]A simple method for domain adaptation of sentence embeddings
Anna Kruspe
http://arxiv.org/abs/2008.11228v1
• [cs.LG]Accelerating Federated Learning in Heterogeneous Data and Computational Environments
Dimitris Stripelis, Jose Luis Ambite
http://arxiv.org/abs/2008.11281v1
• [cs.LG]An Adversarial Attack Defending System for Securing In-Vehicle Networks
Yi Li, Jing Lin, Kaiqi Xiong
http://arxiv.org/abs/2008.11278v1
• [cs.LG]Analysis of deep machine learning algorithms in COVID-19 disease diagnosis
Samir S. Yadav, Mininath R. Bendre, Pratap S. Vikhe, Shivajirao M. Jadhav
http://arxiv.org/abs/2008.11639v1
• [cs.LG]Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing
Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang
http://arxiv.org/abs/2008.11087v2
• [cs.LG]Bandit Data-driven Optimization: AI for Social Good and Beyond
Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang
http://arxiv.org/abs/2008.11707v1
• [cs.LG]Benchmarking Semi-supervised Federated Learning
Zhengming Zhang, Zhewei Yao, Yaoqing Yang, Yujun Yan, Joseph E. Gonzalez, Michael W. Mahoney
http://arxiv.org/abs/2008.11364v1
• [cs.LG]CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions
Raha Moraffah, Bahman Moraffah, Mansooreh Karami, Adrienne Raglin, Huan Liu
http://arxiv.org/abs/2008.11376v1
• [cs.LG]Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction
Mo Han, Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
http://arxiv.org/abs/2008.11426v1
• [cs.LG]FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
http://arxiv.org/abs/2008.11359v1
• [cs.LG]Gravilon: Applications of a New Gradient Descent Method to Machine Learning
Chad Kelterborn, Marcin Mazur, Bogdan V. Petrenko
http://arxiv.org/abs/2008.11370v1
• [cs.LG]How to tune the RBF SVM hyperparameters?: An empirical evaluation of 18 search algorithms
Jacques Wainer, Pablo Fonseca
http://arxiv.org/abs/2008.11655v1
• [cs.LG]HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Wouter Verbeke
http://arxiv.org/abs/2008.11643v1
• [cs.LG]Inverse Policy Evaluation for Value-based Sequential Decision-making
Alan Chan, Kris de Asis, Richard S. Sutton
http://arxiv.org/abs/2008.11329v1
• [cs.LG]Learning Robust Node Representation on Graphs
Xu Chen, Ya Zhang, Ivor Tsang, Yuangang Pan
http://arxiv.org/abs/2008.11416v1
• [cs.LG]Machine learning applied in the multi-scale 3D stress modelling
Xavier Garcia, Adrian Rodriguez-Herrera
http://arxiv.org/abs/2008.11244v1
• [cs.LG]Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction
Darius Afchar, Romain Hennequin
http://arxiv.org/abs/2008.11406v1
• [cs.LG]Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance
Selim F. Yilmaz, E. Batuhan Kaynak, Aykut Koç, Hamdi Dibeklioğlu, Suleyman S. Kozat
http://arxiv.org/abs/2008.11573v1
• [cs.LG]Simplifying Architecture Search for Graph Neural Network
Huan Zhao, Lanning Wei, Quanming Yao
http://arxiv.org/abs/2008.11652v1
• [cs.LG]Training Multimodal Systems for Classification with Multiple Objectives
Jason Armitage, Shramana Thakur, Rishi Tripathi, Jens Lehmann, Maria Maleshkova
http://arxiv.org/abs/2008.11450v1
• [cs.LG]Uncertainty-Aware Surrogate Model For Oilfield Reservoir Simulation
Ajitabh Kumar
http://arxiv.org/abs/2008.11433v1
• [cs.LG]What is being transferred in transfer learning?
Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang
http://arxiv.org/abs/2008.11687v1
• [cs.LO]Logic Signed Petri Net
Payal, Sangita Kansal
http://arxiv.org/abs/2008.11585v1
• [cs.NE]Robust robotic control on the neuromorphic research chip Loihi
Carlo Michaelis, Andrew B. Lehr, Christian Tetzlaff
http://arxiv.org/abs/2008.11642v1
• [cs.NI]The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic
Anja Feldmann, Oliver Gasser, Franziska Lichtblau, Enric Pujol, Ingmar Poese, Christoph Dietzel, Daniel Wagner, Matthias Wichtlhuber, Juan Tapiador, Narseo Vallina-Rodriguez, Oliver Hohlfeld, Georgios Smaragdakis
http://arxiv.org/abs/2008.10959v2
• [cs.RO]Advances in Human-Robot Handshaking
Vignesh Prasad, Ruth Stock-Homburg, Jan Peters
http://arxiv.org/abs/2008.11695v1
• [cs.RO]Automatic Generation of Road Geometries to Create Challenging Scenarios for Automated Vehicles Based on the Sensor Setup
Thomas Ponn, Thomas Lanz, Frank Diermeyer
http://arxiv.org/abs/2008.11580v1
• [cs.RO]Identification of Challenging Highway-Scenarios for the Safety Validation of Automated Vehicles Based on Real Driving Data
Thomas Ponn, Matthias Breitfuß, Xiao Yu, Frank Diermeyer
http://arxiv.org/abs/2008.11609v1
• [cs.RO]Intrinsic Motivation in Object-Action-Outcome Blending Latent Space
Melisa Sener, Yukie Nagai, Erhan Oztop, Emre Ugur
http://arxiv.org/abs/2008.11503v1
• [cs.RO]Leveraging Kernelized Synergies on Shared Subspace for Precision Grasp and Dexterous Manipulation
Sunny Katyara, Fanny Ficuciello, Darwin Caldwell, Bruno Siciliano, Fei Chen
http://arxiv.org/abs/2008.11574v1
• [cs.RO]Reproducible Pruning System on Dynamic Natural Plants for Field Agricultural Robots
Sunny Katyara, Fanny Ficuciello, Darwin G. Caldwell, Fei Chen, Bruno Siciliano
http://arxiv.org/abs/2008.11613v1
• [cs.RO]Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework
Thomas Lew, Apoorva Sharma, James Harrison, Marco Pavone
http://arxiv.org/abs/2008.11700v1
• [cs.RO]Self-Supervised Goal-Conditioned Pick and Place
Coline Devin, Payam Rowghanian, Chris Vigorito, Will Richards, Khashayar Rohanimanesh
http://arxiv.org/abs/2008.11466v1
• [cs.RO]Simulating Crowds and Autonomous Vehicles
John Charlton, Luis Rene Montana Gonzalez, Steve Maddock, Paul Richmond
http://arxiv.org/abs/2008.11578v1
• [cs.RO]Systematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models
Thomas Ponn, Fabian Müller, Frank Diermeyer
http://arxiv.org/abs/2008.11568v1
• [cs.SI]A Framework for Quantifying Controversy of Social Network Debates Using Attributed Networks: Biased Random Walk (BRW)
Hanif Emamgholizadeh, Milad Noorizadeh, Saman Tajbakhsh, Mahdieh Hashminezhad, Farzaneh Nasr Esfahani
http://arxiv.org/abs/2008.11453v1
• [cs.SI]A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo
Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, Haizhou Wang
http://arxiv.org/abs/2008.11708v1
• [cs.SI]Blind Inference of Eigenvector Centrality Rankings
T. Mitchell Roddenberry, Santiago Segarra
http://arxiv.org/abs/2008.11330v1
• [cs.SI]Identifying Coordinated Accounts in Disinformation Campaigns
Karishma Sharma, Emilio Ferrara, Yan Liu
http://arxiv.org/abs/2008.11308v1
• [cs.SI]Popularity and Centrality in Spotify Networks: Critical transitions in eigenvector centrality
Tobin South, Matthew Roughan, Lewis Mitchell
http://arxiv.org/abs/2008.11428v1
• [eess.AS]Adversarially Training for Audio Classifiers
Raymel Alfonso Sallo, Mohammad Esmaeilpour, Patrick Cardinal
http://arxiv.org/abs/2008.11618v1
• [eess.AS]DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in Degraded Audio Signals
Anurag Chowdhury, Arun Ross
http://arxiv.org/abs/2008.11668v1
• [eess.IV]3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction
Rupal Agravat, Mehul S Raval
http://arxiv.org/abs/2008.11576v1
• [eess.IV]Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement Networks
Yu Zhang, Xiaoguang Di, Bin Zhang, Ruihang Ji, Chunhui Wang
http://arxiv.org/abs/2008.11434v1
• [eess.IV]DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed Radiographs
Pengyi Zhang, Yunxin Zhong, Yulin Deng, Xiaoying Tang, Xiaoqiong Li
http://arxiv.org/abs/2008.11478v1
• [eess.IV]Detection of Retinal Blood Vessels by using Gabor filter with Entropic threshold
Mohamed. I. Waly, Ahmed El-Hossiny
http://arxiv.org/abs/2008.11508v1
• [eess.IV]Disentangled Representations for Domain-generalized Cardiac Segmentation
Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O’Neil, Sotirios A. Tsaftaris
http://arxiv.org/abs/2008.11514v1
• [eess.IV]Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference
Xiaohong Liu, Kangdi Shi, Zhe Wang, Jun Chen
http://arxiv.org/abs/2008.10710v1
• [eess.IV]Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
Tiankuang Zhou, Xing Lin, Jiamin Wu, Yitong Chen, Hao Xie, Yipeng Li, Jintao Fan, Huaqiang Wu, Lu Fang, Qionghai Dai
http://arxiv.org/abs/2008.11659v1
• [eess.IV]Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic Filters
Qingyan Sun, Shuo Zhang, Song Chang, Lixi Zhu, Youfang Lin
http://arxiv.org/abs/2008.11449v1
• [eess.IV]On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets
Beatriz Garcia Santa Cruz, Jan Sölter, Matias Nicolas Bossa, Andreas Dominik Husch
http://arxiv.org/abs/2008.11572v1
• [eess.IV]Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology
Maxime W. Lafarge, Josien P. W. Pluim, Mitko Veta
http://arxiv.org/abs/2008.11673v1
• [eess.IV]Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans
Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu
http://arxiv.org/abs/2008.10652v1
• [eess.IV]Variational Image Restoration Network
Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng
http://arxiv.org/abs/2008.10796v1
• [eess.SP]A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery
Ce Zhang, Azim Eskandarian
http://arxiv.org/abs/2008.11227v1
• [eess.SP]A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis
Ce Zhang, Azim Eskandarian
http://arxiv.org/abs/2008.11226v1
• [eess.SP]Beyond 5G Wireless Localization with Reconfigurable Intelligent Surfaces
Henk Wymeersch, Benoît Denis
http://arxiv.org/abs/2008.11431v1
• [math.OC]Comparison of Centralized and Decentralized Approaches in Cooperative Coverage Problems with Energy-Constrained Agents
Xiangyu Meng, Xinmiao Sun, Christos G. Cassandras, Kaiyuan Xu
http://arxiv.org/abs/2008.11337v1
• [math.OC]Integrated Cutting and Packing Heterogeneous Precast Beams Multiperiod Production Planning Problem
Kennedy Araujo, Tiberius Bonates, Bruno Prata
http://arxiv.org/abs/2008.11303v1
• [math.OC]Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
Bo Pang, Zhong-Ping Jiang
http://arxiv.org/abs/2008.11592v1
• [math.OC]Variance-Reduced Proximal and Splitting Schemes for Monotone Stochastic Generalized Equations
Shisheng Cui, Uday V. Shanbhag
http://arxiv.org/abs/2008.11348v1
• [math.ST]On the power of Chatterjee rank correlation
Hongjian Shi, Mathias Drton, Fang Han
http://arxiv.org/abs/2008.11619v1
• [physics.optics]Parallel photonic reservoir computing based on frequency multiplexing of neurons
Lorenz Butschek, Akram Akrout, Evangelia Dimitriadou, Marc Haelterman, Serge Massar
http://arxiv.org/abs/2008.11247v1
• [physics.soc-ph]Disappearing errors in a conversion model
David P. Fan
http://arxiv.org/abs/2008.11696v1
• [physics.soc-ph]Uncovering Hidden Dependency in Weighted Networks via Information Entropy
Mi Jin Lee, Eun Lee, Byunghwee Lee, Hawoong Jeong, Deok-Sun Lee, Sang Hoon Lee
http://arxiv.org/abs/2008.11047v2
• [q-bio.NC]Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning
Sam Blakeman, Denis Mareschal
http://arxiv.org/abs/2008.11491v1
• [q-bio.QM]Towards Structured Prediction in Bioinformatics with Deep Learning
Yu Li
http://arxiv.org/abs/2008.11546v1
• [stat.AP]Estimating conditional probabilities of historical migrations in the transatlantic slave trade using kriging and Markov decision process models
Ashton Wiens, Henry B. Lovejoy, Zachary Mullen, Eric Vance
http://arxiv.org/abs/2008.11301v1
• [stat.AP]Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Prediction Sets
Richard A. Berk, Arun Kumar Kuchibhotla
http://arxiv.org/abs/2008.11664v1
• [stat.AP]Modeling Cell Populations Measured By Flow Cytometry With Covariates Using Sparse Mixture of Regressions
Sangwon Hyun, Mattias Rolf Cape, Francois Ribalet, Jacob Bien
http://arxiv.org/abs/2008.11251v1
• [stat.AP]Truncated generalized extreme value distribution based EMOS model for calibration of wind speed ensemble forecasts
Sándor Baran, Patrícia Szokol, Marianna Szabó
http://arxiv.org/abs/2008.11539v1
• [stat.ME]A note on data splitting with e-values: online appendix to my comment on Glenn Shafer’s “Testing by betting”
Vladimir Vovk
http://arxiv.org/abs/2008.11474v1
• [stat.ME]Assessing Impact of Unobserved Confounders with Sensitivity Index Probabilities through Pseudo-Experiments
Beilin Jia, Donglin Zeng, Qing Yang, Wei Pan
http://arxiv.org/abs/2008.11667v1
• [stat.ME]Bellman filtering for state-space models
Rutger-Jan Lange
http://arxiv.org/abs/2008.11477v1
• [stat.ME]Complexity as Causal Information Integration
Carlotta Langer, Nihat Ay
http://arxiv.org/abs/2008.11430v1
• [stat.ME]Stochastic filters based on hybrid approximations of multiscale stochastic reaction networks
Zhou Fang, Ankit Gupta, Mustafa Khammash
http://arxiv.org/abs/2008.11682v1
• [stat.ML]A general kernel boosting framework integrating pathways for predictive modeling based on genomic data
Li Zeng, Zhaolong Yu, Yiliang Zhang, Hongyu Zhao
http://arxiv.org/abs/2008.11384v1
• [stat.ML]Deep Networks and the Multiple Manifold Problem
Sam Buchanan, Dar Gilboa, John Wright
http://arxiv.org/abs/2008.11245v1
• [stat.ML]Identifying Critical States by the Action-Based Variance of Expected Return
Izumi Karino, Yoshiyuki Ohmura, Yasuo Kuniyoshi
http://arxiv.org/abs/2008.11332v1
• [stat.ML]SOAR: Simultaneous Or of And Rules for Classification of Positive & Negative Classes
Elena Khusainova, Emily Dodwell, Ritwik Mitra
http://arxiv.org/abs/2008.11249v1
若有收获，就点个赞吧
0 人点赞
