cond-mat.dis-nn - 无序系统与神经网络
cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CE - 计算工程、 金融和科学
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.DL - 数字图书馆
cs.GR - 计算机图形学
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
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.SD - 声音处理
cs.SI - 社交网络与信息网络
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.bio-ph - 生物物理
physics.optics - 光学
physics.soc-ph - 物理学与社会
q-bio.PE - 人口与发展
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Scaling of neural-network quantum states for time evolution
• [cond-mat.mtrl-sci]An End-to-End Computer Vision Methodology for Quantitative Metallography
• [cs.AI]A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI
• [cs.AI]Attribute-Modulated Generative Meta Learning for Zero-Shot Classification
• [cs.AI]Efficient Non-Sampling Knowledge Graph Embedding
• [cs.AI]Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data
• [cs.AI]Künstliche Intelligenz, quo vadis?
• [cs.AI]MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation
• [cs.AI]Optimize Neural Fictitious Self-Play in Regret Minimization Thinking
• [cs.AI]The Road Less Travelled: Trying And Failing To Generate Walking Simulators
• [cs.AI]Time series analysis with dynamic law exploration
• [cs.AR]Enabling Cross-Layer Reliability and Functional Safety Assessment Through ML-Based Compact Models
• [cs.AR]Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
• [cs.CE]Development of aircraft spoiler demonstrators to test strain-based SHM under realistic loading
• [cs.CL]A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP
• [cs.CL]Accented Speech Recognition: A Survey
• [cs.CL]Disfluency Detection with Unlabeled Data and Small BERT Models
• [cs.CL]Enriched Attention for Robust Relation Extraction
• [cs.CL]Extracting Adverse Drug Events from Clinical Notes
• [cs.CL]Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network
• [cs.CL]Finding Fuzziness in Neural Network Models of Language Processing
• [cs.CL]Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames
• [cs.CL]Fuzzy Classification of Multi-intent Utterances
• [cs.CL]Learning Fine-grained Fact-Article Correspondence in Legal Cases
• [cs.CL]Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations
• [cs.CL]Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand?
• [cs.CR]CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
• [cs.CR]Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties
• [cs.CR]Robustness of ML-Enhanced IDS to Stealthy Adversaries
• [cs.CR]Synchronization of Tree Parity Machines using non-binary input vectors
• [cs.CV]A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection
• [cs.CV]A Strong Baseline for Vehicle Re-Identification
• [cs.CV]Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks
• [cs.CV]Automated Tackle Injury Risk Assessment in Contact-Based Sports — A Rugby Union Example
• [cs.CV]BEVDetNet: Bird’s Eye View
f73
LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving
• [cs.CV]Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations
• [cs.CV]Computer Vision-based Social Distancing Surveillance Solution with Optional Automated Camera Calibration for Large Scale Deployment
• [cs.CV]Continental-scale land cover mapping at 10 m resolution over Europe (ELC10)
• [cs.CV]Cross-Domain and Disentangled Face Manipulation with 3D Guidance
• [cs.CV]Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird’s Eye View
• [cs.CV]DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
• [cs.CV]Deep Video Matting via Spatio-Temporal Alignment and Aggregation
• [cs.CV]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
• [cs.CV]Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
• [cs.CV]Exploring 2D Data Augmentation for 3D Monocular Object Detection
• [cs.CV]FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
• [cs.CV]Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning
• [cs.CV]Fourier Contour Embedding for Arbitrary-Shaped Text Detection
• [cs.CV]Fully Convolutional Line Parsing
• [cs.CV]H2O: Two Hands Manipulating Objects for First Person Interaction Recognition
• [cs.CV]Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition
• [cs.CV]Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation
• [cs.CV]Hierarchical Motion Understanding via Motion Programs
• [cs.CV]Hierarchical growing grid networks for skeleton based action recognition
• [cs.CV]ImageNet-21K Pretraining for the Masses
• [cs.CV]KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
• [cs.CV]Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors
• [cs.CV]Lighting the Darkness in the Deep Learning Era
• [cs.CV]Localization of Ice-Rink for Broadcast Hockey Videos
• [cs.CV]MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data
• [cs.CV]Maneuver-based Anchor Trajectory Hypotheses at Roundabouts
• [cs.CV]ManipulaTHOR: A Framework for Visual Object Manipulation
• [cs.CV]Meta-learning for skin cancer detection using Deep Learning Techniques
• [cs.CV]Multiscale Vision Transformers
• [cs.CV]Network Space Search for Pareto-Efficient Spaces
• [cs.CV]Neuro-inspired edge feature fusion using Choquet integrals
• [cs.CV]On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation
• [cs.CV]Opening up Open-World Tracking
• [cs.CV]Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
• [cs.CV]Pri3D: Can 3D Priors Help 2D Representation Learning?
• [cs.CV]RANSIC: Fast and Highly Robust Estimation for Rotation Search and Point Cloud Registration using Invariant Compatibility
• [cs.CV]Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
• [cs.CV]Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images
• [cs.CV]Self-Supervised Learning from Semantically Imprecise Data
• [cs.CV]Self-optimizing loop sifting and majorization for 3D reconstruction
• [cs.CV]Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance
• [cs.CV]Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval
• [cs.CV]So-ViT: Mind Visual Tokens for Vision Transformer
• [cs.CV]Token Labeling: Training a 85.5% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet
• [cs.CV]Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting
• [cs.CV]VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
• [cs.CV]VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving
• [cs.CY]”I’m a Professor, which isn’t usually a dangerous job”: Internet-Facilitated Harassment and its Impact on Researchers
• [cs.DL]Combining dissimilarity measure for the study of evolution in scientific fields
• [cs.GR]Voxel Structure-based Mesh Reconstruction from a 3D Point Cloud
• [cs.IR]Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks
• [cs.IR]XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction
• [cs.IT]Designing IRS-Aided MIMO Systems for Secrecy Enhancement
• [cs.IT]Minimizing the Sum of Age of Information and Transmission Cost under Stochastic Arrival Model
• [cs.IT]Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems
• [cs.IT]Multi-point Coordination in Massive MIMO Systems with Sectorized Antennas
• [cs.IT]On Doped SC-LDPC Codes for Streaming
• [cs.IT]Robust Testing and Estimation under Manipulation Attacks
• [cs.IT]TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications
• [cs.IT]Trajectory Optimization and Resource Allocation for OFDMA UAV Relay Networks
• [cs.LG]A Feature Selection Method for Multi-Dimension Time-Series Data
• [cs.LG]A learning gap between neuroscience and reinforcement learning
• [cs.LG]Accelerating SpMM Kernel with Cache-First Edge Sampling for GNN Inference
• [cs.LG]An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering
• [cs.LG]Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
• [cs.LG]Carbon Emissions and Large Neural Network Training
• [cs.LG]Clustering Introductory Computer Science Exercises Using Topic Modeling Methods
• [cs.LG]Deep limits and cut-off phenomena for neural networks
• [cs.LG]Discovering Classification Rules for Interpretable Learning with Linear Programming
• [cs.LG]Dual Head Adversarial Training
• [cs.LG]Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
• [cs.LG]Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models
• [cs.LG]Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem
• [cs.LG]InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
• [cs.LG]Lossless Compression with Latent Variable Models
• [cs.LG]Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
• [cs.LG]Reinforcement Learning using Guided Observability
• [cs.LG]Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention
• [cs.LG]Robust Certification for Laplace Learning on Geometric Graphs
• [cs.LG]Semiotic Aggregation in Deep Learning
• [cs.LG]Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
• [cs.LG]Survey on Modeling Intensity Function of Hawkes Process Using Neural Models
• [cs.LG]Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models
• [cs.LG]Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings
• [cs.NE]Continuous Learning and Adaptation with Membrane Potential and Activation Threshold Homeostasis
• [cs.NE]Noise-Robust Deep Spiking Neural Networks with Temporal Information
• [cs.NE]Personalizing Performance Regression Models to Black-Box Optimization Problems
• [cs.NE]cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization
• [cs.NI]An Efficient One-Class SVM for Anomaly Detection in the Internet of Things
• [cs.RO]Efficient LiDAR Odometry for Autonomous Driving
• [cs.RO]Fast MILP-based Task and Motion Planning for Pick-and-Place with Hard/Soft Constraints of Collision-Free Route
• [cs.RO]Flocking-Segregative Swarming Behaviors using Gibbs Random Fields
• [cs.RO]GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model
• [cs.RO]Knowledge Triggering, Extraction and Storage via Human-Robot Verbal Interaction
• [cs.RO]LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
• [cs.RO]MRRT: Multiple Rapidly-Exploring Random Trees for Fast Online Replanning in Dynamic Environments
• [cs.RO]Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series
• [cs.RO]Multi-task Learning with Attention for End-to-end Autonomous Driving
• [cs.RO]Relative Position Estimation Between Two UWB Devices with IMUs
• [cs.RO]Surface Disinfection using Ultraviolet Lightwith a Mobile Manipulation Robot
• [cs.RO]Trust as Extended Control: Active Inference and User Feedback During Human-Robot Collaboration
• [cs.RO]Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder
• [cs.RO]XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees
• [cs.SD]Protecting gender and identity with disentangled speech representations
• [cs.SI]COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations
• [cs.SI]Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key
• [cs.SI]Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic
• [cs.SI]The Anaconda and the Dragon: institutional collaboration between Latin America and China
• [cs.SI]The latent structure of national scientific development
• [eess.IV]A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation
• [eess.IV]Frequency Domain Loss Function for Deep Exposure Correction of Dark Images
• [eess.IV]METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy
• [eess.IV]Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks
• [eess.IV]Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation
• [eess.IV]NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study
• [eess.IV]NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
• [eess.IV]NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
• [eess.IV]PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation
• [eess.SP]The Maximal Eigengap Estimator for Acoustic Vector-Sensor Processing
• [eess.SY]Competing Epidemics on Graphs — Global Convergence and Coexistence
• [eess.SY]Opinion Dynamics under Social Pressure
• [math.NA]Uniqueness and stability for the solution of a nonlinear least squares problem
• [math.OC]Converting ADMM to a Proximal Gradient for Convex Optimization Problems
• [math.OC]Sharp Global Guarantees for Nonconvex Low-Rank Matrix Recovery in the Overparameterized Regime
• [math.ST]Precision Matrix Estimation under the Horseshoe-like Prior-Penalty Dual
• [math.ST]Second order Expansions for Extreme Quantiles of Burr Distributions and Asymptotic Theory of Record Values
• [physics.bio-ph]Chasing Collective Variables using Autoencoders and biased trajectories
• [physics.optics]Compressive lensless endoscopy with partial speckle scanning
• [physics.soc-ph]Strategies for COVID-19 vaccination under a shortage scenario: a geo-stochastic modelling approach
• [q-bio.PE]Variational Bayesian Supertrees
• [stat.AP]A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK
• [stat.AP]Assessing the effectiveness of regional physical distancing measures of COVID-19 in rural regions of British Columbia
• [stat.AP]Stormwater on the Margins: Influence of Race, Gender, and Education on Willingness to Participate in Stormwater Management
• [stat.ME]A tractable Bayesian joint model for longitudinal and survival data
• [stat.ME]Designing efficient randomized trials: power and sample size calculation when using semiparametric efficient estimators
• [stat.ME]Elastic analysis of irregularly or sparsely sampled curves
• [stat.ME]Optimal Bayesian Smoothing of Functional Observations over a Large Graph
• [stat.ML]Accurate and fast matrix factorization for low-rank learning
• [stat.ML]Automatic model training under restrictive time constraints
• [stat.ML]Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation
• [stat.ML]Dataset Inference: Ownership Resolution in Machine Learning
• [stat.ML]Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks
• [stat.ML]Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes
• [stat.ML]Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
• [stat.ML]Skeleton Clustering: Dimension-Free Density-based Clustering
·····································
• [cond-mat.dis-nn]Scaling of neural-network quantum states for time evolution
Sheng-Hsuan Lin, Frank Pollmann
http://arxiv.org/abs/2104.10696v1
• [cond-mat.mtrl-sci]An End-to-End Computer Vision Methodology for Quantitative Metallography
Matan Rusanovsky, Ofer Beeri, Sigalit Ifergane, Gal Oren
http://arxiv.org/abs/2104.11159v1
• [cs.AI]A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI
Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati
http://arxiv.org/abs/2104.10743v1
• [cs.AI]Attribute-Modulated Generative Meta Learning for Zero-Shot Classification
Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang
http://arxiv.org/abs/2104.10857v1
• [cs.AI]Efficient Non-Sampling Knowledge Graph Embedding
Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang
http://arxiv.org/abs/2104.10796v1
• [cs.AI]Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data
Adrian Remonda, Sarah Krebs, Eduardo Veas, Granit Luzhnica, Roman Kern
http://arxiv.org/abs/2104.11106v1
• [cs.AI]Künstliche Intelligenz, quo vadis?
Ulrike Barthelmeß, Ulrich Furbach
http://arxiv.org/abs/2104.11067v1
• [cs.AI]MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation
Yang An, Liang Zhang, Mao You, Xueqing Tian, Bo Jin, Xiaopeng Wei
http://arxiv.org/abs/2104.11026v1
• [cs.AI]Optimize Neural Fictitious Self-Play in Regret Minimization Thinking
Yuxuan Chen, Li Zhang, Shijian Li, Gang Pan
http://arxiv.org/abs/2104.10845v1
• [cs.AI]The Road Less Travelled: Trying And Failing To Generate Walking Simulators
Michael Cook
http://arxiv.org/abs/2104.10789v1
• [cs.AI]Time series analysis with dynamic law exploration
A. Jakovac
http://arxiv.org/abs/2104.10970v1
• [cs.AR]Enabling Cross-Layer Reliability and Functional Safety Assessment Through ML-Based Compact Models
Dan Alexandrescu, Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux
http://arxiv.org/abs/2104.10941v1
• [cs.AR]Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai, Li, Qinru Qiu
http://arxiv.org/abs/2104.10712v1
• [cs.CE]Development of aircraft spoiler demonstrators to test strain-based SHM under realistic loading
Markus Winklberger, Christoph Kralovec, Martin Schagerl
http://arxiv.org/abs/2104.10763v1
• [cs.CL]A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP
Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang
http://arxiv.org/abs/2104.10810v1
• [cs.CL]Accented Speech Recognition: A Survey
Arthur Hinsvark, Natalie Delworth, Miguel Del Rio, Quinten McNamara, Joshua Dong, Ryan Westerman, Michelle Huang, Joseph Palakapilly, Jennifer Drexler, Ilya Pirkin, Nishchal Bhandari, Miguel Jette
http://arxiv.org/abs/2104.10747v1
• [cs.CL]Disfluency Detection with Unlabeled Data and Small BERT Models
Johann C. Rocholl, Vicky Zayats, Daniel D. Walker, Noah B. Murad, Aaron Schneider, Daniel J. Liebling
http://arxiv.org/abs/2104.10769v1
• [cs.CL]Enriched Attention for Robust Relation Extraction
Heike Adel, Jannik Strötgen
http://arxiv.org/abs/2104.10899v1
• [cs.CL]Extracting Adverse Drug Events from Clinical Notes
Darshini Mahendran, Bridget T. McInnes
http://arxiv.org/abs/2104.10791v1
• [cs.CL]Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network
Janne Pylkkönen, Antti Ukkonen, Juho Kilpikoski, Samu Tamminen, Hannes Heikinheimo
http://arxiv.org/abs/2104.11127v1
• [cs.CL]Finding Fuzziness in Neural Network Models of Language Processing
Kanishka Misra, Julia Taylor Rayz
http://arxiv.org/abs/2104.10813v1
• [cs.CL]Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames
Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann
http://arxiv.org/abs/2104.11030v1
• [cs.CL]Fuzzy Classification of Multi-intent Utterances
Geetanjali Bihani, Julia Taylor Rayz
http://arxiv.org/abs/2104.10830v1
• [cs.CL]Learning Fine-grained Fact-Article Correspondence in Legal Cases
Jidong Ge, Yunyun huang, Xiaoyu Shen, Chuanyi Li, Wei Hu, Bin Luo
http://arxiv.org/abs/2104.10726v1
• [cs.CL]Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations
Geetanjali Bihani, Julia Taylor Rayz
http://arxiv.org/abs/2104.10833v1
• [cs.CL]Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand?
William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith
http://arxiv.org/abs/2104.10809v1
• [cs.CR]CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Sijun Tan, Brian Knott, Yuan Tian, David J. Wu
http://arxiv.org/abs/2104.10949v1
• [cs.CR]Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties
Rajesh Kumar, WenYong Wang, Cheng Yuan, Jay Kumar, Zakria, He Qing, Ting Yang, Abdullah Aman Khan
http://arxiv.org/abs/2104.10903v1
• [cs.CR]Robustness of ML-Enhanced IDS to Stealthy Adversaries
Vance Wong, John Emanuello
http://arxiv.org/abs/2104.10742v1
• [cs.CR]Synchronization of Tree Parity Machines using non-binary input vectors
Miłosz Stypiński, Marcin Niemiec
http://arxiv.org/abs/2104.11105v1
• [cs.CV]A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection
Biswadeep Chakraborty, Xueyuan She, Saibal Mukhopadhyay
http://arxiv.org/abs/2104.10719v1
• [cs.CV]A Strong Baseline for Vehicle Re-Identification
Su V. Huynh, Nam H. Nguyen, Ngoc T. Nguyen, Vinh TQ. Nguyen, Chau Huynh, Chuong Nguyen
http://arxiv.org/abs/2104.10850v1
• [cs.CV]Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks
Yuansheng Hua, Lichao Moua, Jianzhe Lin, Konrad Heidler, Xiao Xiang Zhu
http://arxiv.org/abs/2104.11200v1
• [cs.CV]Automated Tackle Injury Risk Assessment in Contact-Based Sports — A Rugby Union Example
Zubair Martin, Amir Patel, Sharief Hendricks
http://arxiv.org/abs/2104.10916v1
• [cs.CV]**BEVDetNet: Bird’s Eye View
f73
LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving**
Sambit Mohapatra, Senthil Yogamani, Heinrich Gotzig, Stefan Milz, Patrick Mader
http://arxiv.org/abs/2104.10780v1
• [cs.CV]Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations
Kaidong Li, Mohammad I. Fathan, Krushi Patel, Tianxiao Zhang, Cuncong Zhong, Ajay Bansal, Amit Rastogi, Jean S. Wang, Guanghui Wang
http://arxiv.org/abs/2104.10824v1
• [cs.CV]Computer Vision-based Social Distancing Surveillance Solution with Optional Automated Camera Calibration for Large Scale Deployment
Sreetama Das, Anirban Nag, Dhruba Adhikary, Ramswaroop Jeevan Ram, Aravind BR, Sujit Kumar Ojha, Guruprasad M Hegde
http://arxiv.org/abs/2104.10891v1
• [cs.CV]Continental-scale land cover mapping at 10 m resolution over Europe (ELC10)
Zander S. Venter, Markus A. K. Sydenham
http://arxiv.org/abs/2104.10922v1
• [cs.CV]Cross-Domain and Disentangled Face Manipulation with 3D Guidance
Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
http://arxiv.org/abs/2104.11228v1
• [cs.CV]Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird’s Eye View
Alejandro Barrera, Jorge Beltrán, Carlos Guindel, Jose Antonio Iglesias, Fernando García
http://arxiv.org/abs/2104.11021v1
• [cs.CV]DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
Xinyi Wu, Zhenyao Wu, Hao Guo, Lili Ju, Song Wang
http://arxiv.org/abs/2104.10834v1
• [cs.CV]Deep Video Matting via Spatio-Temporal Alignment and Aggregation
Yanan Sun, Guanzhi Wang, Qiao Gu, Chi-Keung Tang, Yu-Wing Tai
http://arxiv.org/abs/2104.11208v1
• [cs.CV]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata
http://arxiv.org/abs/2104.10955v1
• [cs.CV]Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
Weizhe Liu, David Ferstl, Samuel Schulter, Lukas Zebedin, Pascal Fua, Christian Leistner
http://arxiv.org/abs/2104.11056v1
• [cs.CV]Exploring 2D Data Augmentation for 3D Monocular Object Detection
Sugirtha T, Sridevi M, Khailash Santhakumar, B Ravi Kiran, Thomas Gauthier, Senthil Yogamani
http://arxiv.org/abs/2104.10786v1
• [cs.CV]FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin
http://arxiv.org/abs/2104.10956v1
• [cs.CV]Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning
Savvas Karatsiolis, Andreas Kamilaris
http://arxiv.org/abs/2104.10874v1
• [cs.CV]Fourier Contour Embedding for Arbitrary-Shaped Text Detection
Yiqin Zhu, Jianyong Chen, Lingyu Liang, Zhanghui Kuang, Lianwen Jin, Wayne Zhang
http://arxiv.org/abs/2104.10442v2
• [cs.CV]Fully Convolutional Line Parsing
Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma
http://arxiv.org/abs/2104.11207v1
• [cs.CV]H2O: Two Hands Manipulating Objects for First Person Interaction Recognition
Taein Kwon, Bugra Tekin, Jan Stuhmer, Federica Bogo, Marc Pollefeys
http://arxiv.org/abs/2104.11181v1
• [cs.CV]Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition
Jian Pang, Dacheng Zhang, Huafeng Li, Weifeng Liu, Zhengtao Yu
http://arxiv.org/abs/2104.11004v1
• [cs.CV]Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation
Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi, Ken Sakurada
http://arxiv.org/abs/2104.11176v1
• [cs.CV]Hierarchical Motion Understanding via Motion Programs
Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu
http://arxiv.org/abs/2104.11216v1
• [cs.CV]Hierarchical growing grid networks for skeleton based action recognition
Zahra Gharaee
http://arxiv.org/abs/2104.11165v1
• [cs.CV]ImageNet-21K Pretraining for the Masses
Tal Ridnik, Emanuel Ben-Baruch, Asaf Noy, Lihi Zelnik-Manor
http://arxiv.org/abs/2104.10972v1
• [cs.CV]KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa
http://arxiv.org/abs/2104.11224v1
• [cs.CV]Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors
Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj
http://arxiv.org/abs/2104.11101v1
• [cs.CV]Lighting the Darkness in the Deep Learning Era
Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy
http://arxiv.org/abs/2104.10729v1
• [cs.CV]Localization of Ice-Rink for Broadcast Hockey Videos
Mehrnaz Fani, Pascale Berunelle Walters, David A. Clausi, John Zelek, Alexander Wong
http://arxiv.org/abs/2104.10847v1
• [cs.CV]MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data
Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez
http://arxiv.org/abs/2104.10772v1
• [cs.CV]Maneuver-based Anchor Trajectory Hypotheses at Roundabouts
Mohamed Hasan, Evangelos Paschalidis, Albert Solernou, He Wang, Gustav Markkula, Richard Romano
http://arxiv.org/abs/2104.11180v1
• [cs.CV]ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha Kembhavi, Roozbeh Mottaghi
http://arxiv.org/abs/2104.11213v1
• [cs.CV]Meta-learning for skin cancer detection using Deep Learning Techniques
Sara I. Garcia
http://arxiv.org/abs/2104.10775v1
• [cs.CV]Multiscale Vision Transformers
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer
http://arxiv.org/abs/2104.11227v1
• [cs.CV]Network Space Search for Pareto-Efficient Spaces
Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou
http://arxiv.org/abs/2104.11014v1
• [cs.CV]Neuro-inspired edge feature fusion using Choquet integrals
Cedric Marco-Detchart, Giancarlo Lucca, Carlos Lopez-Molina, Laura De Miguel, Graçaliz Pereira Dimuro, Humberto Bustince
http://arxiv.org/abs/2104.10984v1
• [cs.CV]On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation
Gaurav Parmar, Richard Zhang, Jun-Yan Zhu
http://arxiv.org/abs/2104.11222v1
• [cs.CV]Opening up Open-World Tracking
Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljoša Ošep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé
http://arxiv.org/abs/2104.11221v1
• [cs.CV]Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
Hang Zhou, Yasheng Sun, Wayne Wu, Chen Change Loy, Xiaogang Wang, Ziwei Liu
http://arxiv.org/abs/2104.11116v1
• [cs.CV]Pri3D: Can 3D Priors Help 2D Representation Learning?
Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner
http://arxiv.org/abs/2104.11225v1
• [cs.CV]RANSIC: Fast and Highly Robust Estimation for Rotation Search and Point Cloud Registration using Invariant Compatibility
Lei Sun
http://arxiv.org/abs/2104.09133v3
• [cs.CV]Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge
http://arxiv.org/abs/2104.11057v1
• [cs.CV]Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images
Bolivar Solarte, Chin-Hsuan Wu, Kuan-Wei Lu, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai
http://arxiv.org/abs/2104.10900v1
• [cs.CV]Self-Supervised Learning from Semantically Imprecise Data
Clemens-Alexander Brust, Björn Barz, Joachim Denzler
http://arxiv.org/abs/2104.10901v1
• [cs.CV]Self-optimizing loop sifting and majorization for 3D reconstruction
Guoxiang Zhang, YangQuan Chen
http://arxiv.org/abs/2104.10826v1
• [cs.CV]Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance
Max Coenen, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist
http://arxiv.org/abs/2104.11028v1
• [cs.CV]Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval
Anibal Fuentes, Jose M. Saavedra
http://arxiv.org/abs/2104.11130v1
• [cs.CV]So-ViT: Mind Visual Tokens for Vision Transformer
Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li
http://arxiv.org/abs/2104.10935v1
• [cs.CV]Token Labeling: Training a 85.5% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet
Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Xiaojie Jin, Anran Wang, Jiashi Feng
http://arxiv.org/abs/2104.10858v1
• [cs.CV]Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting
Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li
http://arxiv.org/abs/2104.10868v1
• [cs.CV]VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari, Linagzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong
http://arxiv.org/abs/2104.11178v1
• [cs.CV]VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving
Hazem Rashed, Ahmad El Sallab, Senthil Yogamani
http://arxiv.org/abs/2104.10985v1
• [cs.CY]“I’m a Professor, which isn’t usually a dangerous job”: Internet-Facilitated Harassment and its Impact on Researchers
Periwinkle Doerfler, Andrea Forte, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn, Damon McCoy
http://arxiv.org/abs/2104.11145v1
• [cs.DL]Combining dissimilarity measure for the study of evolution in scientific fields
Lukun Zheng, Yuhang Jiang
http://arxiv.org/abs/2104.10996v1
• [cs.GR]Voxel Structure-based Mesh Reconstruction from a 3D Point Cloud
Chenlei Lv, Weisi Lin, Baoquan Zhao
http://arxiv.org/abs/2104.10622v2
• [cs.IR]Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks
Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie
http://arxiv.org/abs/2104.10925v1
• [cs.IR]XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction
Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen
http://arxiv.org/abs/2104.10907v1
• [cs.IT]Designing IRS-Aided MIMO Systems for Secrecy Enhancement
Saba Asaad, Yifei Wu, Ali Bereyhi Ralf R. Müller, Rafael F. Schaefer, H. Vincent Poor
http://arxiv.org/abs/2104.10977v1
• [cs.IT]Minimizing the Sum of Age of Information and Transmission Cost under Stochastic Arrival Model
Kumar Saurav, Rahul Vaze
http://arxiv.org/abs/2104.10905v1
• [cs.IT]Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems
Xisuo Ma, Zhen Gao, Feifei Gao, Marco Di Renzo
http://arxiv.org/abs/2104.11052v1
• [cs.IT]Multi-point Coordination in Massive MIMO Systems with Sectorized Antennas
Shahram Shahsavari, Mehrdad Nosrati, Parisa Hassanzadeh, Alexei Ashikhmin, Thomas L. Marzetta, Elza Erkip
http://arxiv.org/abs/2104.10805v1
• [cs.IT]On Doped SC-LDPC Codes for Streaming
Roman Sokolovskii, Alexandre Graell i Amat, Fredrik Brännström
http://arxiv.org/abs/2104.11090v1
• [cs.IT]Robust Testing and Estimation under Manipulation Attacks
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
http://arxiv.org/abs/2104.10740v1
• [cs.IT]TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications
Simon Tarboush, Hadi Sarieddeen, Hui Chen, Mohamed Habib Loukil, Hakim Jemaa, Mohamed Slim Alouini, Tareq Y. Al-Naffouri
http://arxiv.org/abs/2104.11054v1
• [cs.IT]Trajectory Optimization and Resource Allocation for OFDMA UAV Relay Networks
Shuhao Zeng, Hongliang Zhang, Boya Di, Lingyang Song
http://arxiv.org/abs/2104.11091v1
• [cs.LG]A Feature Selection Method for Multi-Dimension Time-Series Data
Bahavathy Kathirgamanathan, Padraig Cunningham
http://arxiv.org/abs/2104.11110v1
• [cs.LG]A learning gap between neuroscience and reinforcement learning
Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt
http://arxiv.org/abs/2104.10995v1
• [cs.LG]Accelerating SpMM Kernel with Cache-First Edge Sampling for GNN Inference
Chien-Yu Lin, Liang Luo, Luis Ceze
http://arxiv.org/abs/2104.10716v1
• [cs.LG]An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering
Kun Li, Liang Yuan, Yunquan Zhang, Gongwei Chen
http://arxiv.org/abs/2104.10819v1
• [cs.LG]Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard Zemel, Roger Grosse
http://arxiv.org/abs/2104.11044v1
• [cs.LG]Carbon Emissions and Large Neural Network Training
David Patterson, Joseph Gonzalez, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David So, Maud Texier, Jeff Dean
http://arxiv.org/abs/2104.10350v2
• [cs.LG]Clustering Introductory Computer Science Exercises Using Topic Modeling Methods
Laura O. Moraes, Carlos Eduardo Pedreira
http://arxiv.org/abs/2104.10748v1
• [cs.LG]Deep limits and cut-off phenomena for neural networks
Benny Avelin, Anders Karlsson
http://arxiv.org/abs/2104.10727v1
• [cs.LG]Discovering Classification Rules for Interpretable Learning with Linear Programming
M. Hakan Akyüz, Ş. İlker Birbil
http://arxiv.org/abs/2104.10751v1
• [cs.LG]Dual Head Adversarial Training
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
http://arxiv.org/abs/2104.10377v2
• [cs.LG]Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen
http://arxiv.org/abs/2104.10880v1
• [cs.LG]Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models
Arnd Koeppe, Franz Bamer, Michael Selzer, Britta Nestler, Bernd Markert
http://arxiv.org/abs/2104.10683v1
• [cs.LG]Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem
Chengwei Zhang, Shan Jin, Wanli Xue, Xiaofei Xie, Shengyong Chen, Rong Chen
http://arxiv.org/abs/2104.10917v1
• [cs.LG]InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin
http://arxiv.org/abs/2104.10853v1
• [cs.LG]Lossless Compression with Latent Variable Models
James Townsend
http://arxiv.org/abs/2104.10544v2
• [cs.LG]Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li
http://arxiv.org/abs/2104.11103v1
• [cs.LG]Reinforcement Learning using Guided Observability
Stephan Weigand, Pascal Klink, Jan Peters, Joni Pajarinen
http://arxiv.org/abs/2104.10986v1
• [cs.LG]Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention
Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine
http://arxiv.org/abs/2104.11203v1
• [cs.LG]Robust Certification for Laplace Learning on Geometric Graphs
Matthew Thorpe, Bao Wang
http://arxiv.org/abs/2104.10837v1
• [cs.LG]Semiotic Aggregation in Deep Learning
Bogdan Musat, Razvan Andonie
http://arxiv.org/abs/2104.10931v1
• [cs.LG]Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
Jean Tarbouriech, Runlong Zhou, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric
http://arxiv.org/abs/2104.11186v1
• [cs.LG]Survey on Modeling Intensity Function of Hawkes Process Using Neural Models
Jayesh Malaviya
http://arxiv.org/abs/2104.11092v1
• [cs.LG]Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models
Hengjie Wang, Robert Planas, Aparna Chandramowlishwaran, Ramin Bostanabad
http://arxiv.org/abs/2104.10873v1
• [cs.LG]Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings
Utkarsh Sarawgi, Rishab Khincha, Wazeer Zulfikar, Satrajit Ghosh, Pattie Maes
http://arxiv.org/abs/2104.10715v1
• [cs.NE]Continuous Learning and Adaptation with Membrane Potential and Activation Threshold Homeostasis
Alexander Hadjiivanov
http://arxiv.org/abs/2104.10851v1
• [cs.NE]Noise-Robust Deep Spiking Neural Networks with Temporal Information
Seongsik Park, Dongjin Lee, Sungroh Yoon
http://arxiv.org/abs/2104.11169v1
• [cs.NE]Personalizing Performance Regression Models to Black-Box Optimization Problems
Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korošec
http://arxiv.org/abs/2104.10999v1
• [cs.NE]cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization
P. A. Grudniewski, A. J. Sobey
http://arxiv.org/abs/2104.11072v1
• [cs.NI]An Efficient One-Class SVM for Anomaly Detection in the Internet of Things
Kun Yang, Samory Kpotufe, Nick Feamster
http://arxiv.org/abs/2104.11146v1
• [cs.RO]Efficient LiDAR Odometry for Autonomous Driving
Xin Zheng, Jianke Zhu
http://arxiv.org/abs/2104.10879v1
• [cs.RO]Fast MILP-based Task and Motion Planning for Pick-and-Place with Hard/Soft Constraints of Collision-Free Route
Takuma Kogo, Kei Takaya, Hiroyuki Oyama
http://arxiv.org/abs/2104.10889v1
• [cs.RO]Flocking-Segregative Swarming Behaviors using Gibbs Random Fields
Paulo Rezeck, Renato M. Assuncao, Luiz Chaimowicz
http://arxiv.org/abs/2104.10814v1
• [cs.RO]GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model
Zhaoming Xie, Xingye Da, Buck Babich, Animesh Garg, Michiel van de Panne
http://arxiv.org/abs/2104.09771v2
• [cs.RO]Knowledge Triggering, Extraction and Storage via Human-Robot Verbal Interaction
Lucrezia Grassi, Carmine Tommaso Recchiuto, Antonio Sgorbissa
http://arxiv.org/abs/2104.11170v1
• [cs.RO]LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Tixiao Shan, Brendan Englot, Carlo Ratti, Daniela Rus
http://arxiv.org/abs/2104.10831v1
• [cs.RO]MRRT: Multiple Rapidly-Exploring Random Trees for Fast Online Replanning in Dynamic Environments
Zongyuan Shen, James P. Wilson, Ryan Harvey, Shalabh Gupta
http://arxiv.org/abs/2104.11059v1
• [cs.RO]Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series
Sylvain Calinon
http://arxiv.org/abs/2104.10731v1
• [cs.RO]Multi-task Learning with Attention for End-to-end Autonomous Driving
Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki
http://arxiv.org/abs/2104.10753v1
• [cs.RO]Relative Position Estimation Between Two UWB Devices with IMUs
Charles C. Cossette, Mohammed Shalaby, David Saussié, James R. Forbes, Jérôme Le Ny
http://arxiv.org/abs/2104.10730v1
• [cs.RO]Surface Disinfection using Ultraviolet Lightwith a Mobile Manipulation Robot
Alan G. Sanchez, William D. Smart
http://arxiv.org/abs/2104.10739v1
• [cs.RO]Trust as Extended Control: Active Inference and User Feedback During Human-Robot Collaboration
Felix Schoeller, Mark Miller, Roy Salomon, Karl J. Friston
http://arxiv.org/abs/2104.11153v1
• [cs.RO]Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder
Dinesh Jackson Samuel, Fabio Cuzzolin
http://arxiv.org/abs/2104.11008v1
• [cs.RO]XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees
Aaron M. Roth, Jing Liang, Dinesh Manocha
http://arxiv.org/abs/2104.10818v1
• [cs.SD]Protecting gender and identity with disentangled speech representations
Dimitrios Stoidis, Andrea Cavallaro
http://arxiv.org/abs/2104.11051v1
• [cs.SI]COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations
Shayan Fazeli, Davina Zamanzadeh, Anaelia Ovalle, Thu Nguyen, Gilbert Gee, Majid Sarrafzadeh
http://arxiv.org/abs/2104.10807v1
• [cs.SI]Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key
Amit Sheth, Valerie L. Shalin, Ugur Kursuncu
http://arxiv.org/abs/2104.10788v1
• [cs.SI]Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic
Karandeep Singh, Gabriel Lima, Meeyoung Cha, Chiyoung Cha, Juhi Kulshrestha, Yong-Yeol Ahn, Onur Varol
http://arxiv.org/abs/2104.10864v1
• [cs.SI]The Anaconda and the Dragon: institutional collaboration between Latin America and China
Julian D. Cortes
http://arxiv.org/abs/2104.11119v1
• [cs.SI]The latent structure of national scientific development
Lili Miao, Dakota Murray, Woo-Sung Jung, Vincent Larivière, Cassidy R. Sugimoto, Yong-Yeol Ahn
http://arxiv.org/abs/2104.10812v1
• [eess.IV]A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation
Minh H. Vu, Gabriella Norman, Tufve Nyholm, Tommy Löfstedt
http://arxiv.org/abs/2104.11020v1
• [eess.IV]Frequency Domain Loss Function for Deep Exposure Correction of Dark Images
Ojasvi Yadav, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic
http://arxiv.org/abs/2104.10856v1
• [eess.IV]METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy
Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertuerk, Bjoern H. Menze
http://arxiv.org/abs/2104.10993v1
• [eess.IV]Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks
Amirsaeed Yazdani, Yung-Chen Sun, Nicholas B. Stephens, Timothy Ryan, Vishal Monga
http://arxiv.org/abs/2104.10705v1
• [eess.IV]Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation
Jingnan Jia, Zhiwei Zhai, M. Els Bakker, I. Hernandez Giron, Marius Staring, Berend C. Stoel
http://arxiv.org/abs/2104.11017v1
• [eess.IV]NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study
Ren Yang, Radu Timofte
http://arxiv.org/abs/2104.10782v1
• [eess.IV]NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhognqian Fu, Shuai Xiao, Cheng li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, Xiaoyu Zhang, Linjie Zhou, Sixin Lin, Ru Wang
http://arxiv.org/abs/2104.10781v1
• [eess.IV]NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen
http://arxiv.org/abs/2104.11138v1
• [eess.IV]PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation
Adrian Celaya, Jonas Actor, Rajarajeswari Muthusivarajan, Evan Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes
http://arxiv.org/abs/2104.10745v1
• [eess.SP]The Maximal Eigengap Estimator for Acoustic Vector-Sensor Processing
Robert Bassett, Jacob Foster, Kay L. Gemba, Paul Leary, Kevin B. Smith
http://arxiv.org/abs/2104.10735v1
• [eess.SY]Competing Epidemics on Graphs — Global Convergence and Coexistence
Vishwaraj Doshi, Shailaja Mallick, Do Young Eun
http://arxiv.org/abs/2104.10872v1
• [eess.SY]Opinion Dynamics under Social Pressure
Ali Jadbabaie, Anuran Makur, Elchanan Mossel, Rabih Salhab
http://arxiv.org/abs/2104.11172v1
• [math.NA]Uniqueness and stability for the solution of a nonlinear least squares problem
Meng Huang, Zhiqiang Xu
http://arxiv.org/abs/2104.10841v1
• [math.OC]Converting ADMM to a Proximal Gradient for Convex Optimization Problems
Ryosuke Shimmura, Joe Suzuki
http://arxiv.org/abs/2104.10911v1
• [math.OC]Sharp Global Guarantees for Nonconvex Low-Rank Matrix Recovery in the Overparameterized Regime
Richard Y. Zhang
http://arxiv.org/abs/2104.10790v1
• [math.ST]Precision Matrix Estimation under the Horseshoe-like Prior-Penalty Dual
Ksheera Sagar K. N, Sayantan Banerjee, Jyotishka Datta, Anindya Bhadra
http://arxiv.org/abs/2104.10750v1
• [math.ST]Second order Expansions for Extreme Quantiles of Burr Distributions and Asymptotic Theory of Record Values
Moumouni Diallo, Modou Ngom, Akim Adekpedjou, Gane Samb Lo
http://arxiv.org/abs/2104.10808v1
• [physics.bio-ph]Chasing Collective Variables using Autoencoders and biased trajectories
Zineb Belkacemi, Paraskevi Gkeka, Tony Lelièvre, Gabriel Stoltz
http://arxiv.org/abs/2104.11061v1
• [physics.optics]Compressive lensless endoscopy with partial speckle scanning
Stéphanie Guérit, Siddharth Sivankutty, John Aldo Lee, Hervé Rigneault, Laurent Jacques
http://arxiv.org/abs/2104.10959v1
• [physics.soc-ph]Strategies for COVID-19 vaccination under a shortage scenario: a geo-stochastic modelling approach
N. L. Barreiro, C. I. Ventura, T. Govezensky, M. Núñez, P. G. Bolcatto, R. A. Barrio
http://arxiv.org/abs/2104.09590v2
• [q-bio.PE]Variational Bayesian Supertrees
Michael Karcher, Cheng Zhang, Frederick A Matsen IV
http://arxiv.org/abs/2104.11191v1
• [stat.AP]A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK
Thomas Pinder, Michael Hollaway, Christopher Nemeth, Paul J. Young, David Leslie
http://arxiv.org/abs/2104.10979v1
• [stat.AP]Assessing the effectiveness of regional physical distancing measures of COVID-19 in rural regions of British Columbia
Geoffrey McGregor, Jennifer Tippett, Andy T. S. Wan, Mengxiao Wang, Samuel W. K. Wong
http://arxiv.org/abs/2104.10878v1
• [stat.AP]Stormwater on the Margins: Influence of Race, Gender, and Education on Willingness to Participate in Stormwater Management
Rachel D. Scarlett, Mangala Subramaniam, Sara K. McMillan, Anastasia T. Ingermann, Sandra M. Clinton
http://arxiv.org/abs/2104.10720v1
• [stat.ME]A tractable Bayesian joint model for longitudinal and survival data
Danilo Alvares, Francisco Javier Rubio
http://arxiv.org/abs/2104.10906v1
• [stat.ME]Designing efficient randomized trials: power and sample size calculation when using semiparametric efficient estimators
Alejandro Schuler
http://arxiv.org/abs/2104.10784v1
• [stat.ME]Elastic analysis of irregularly or sparsely sampled curves
Lisa Steyer, Almond Stöcker, Sonja Greven
http://arxiv.org/abs/2104.11039v1
• [stat.ME]Optimal Bayesian Smoothing of Functional Observations over a Large Graph
Arkaprava Roy, Shubhashis Ghosal
http://arxiv.org/abs/2104.10335v2
• [stat.ML]Accurate and fast matrix factorization for low-rank learning
Reza Godaz, Reza Monsefi, Faezeh Toutounian, Reshad Hosseini
http://arxiv.org/abs/2104.10785v1
• [stat.ML]Automatic model training under restrictive time constraints
Lukas Cironis, Jan Palczewski, Georgios Aivaliotis
http://arxiv.org/abs/2104.10746v1
• [stat.ML]Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation
Toshiaki Tsukurimichi, Yu Inatsu, Vo Nguyen Le Duy, Ichiro Takeuchi
http://arxiv.org/abs/2104.10840v1
• [stat.ML]Dataset Inference: Ownership Resolution in Machine Learning
Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
http://arxiv.org/abs/2104.10706v1
• [stat.ML]Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks
Martin Huber, David Imhof
http://arxiv.org/abs/2104.11142v1
• [stat.ML]Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes
Pravin Bhasme, Jenil Vagadiya, Udit Bhatia
http://arxiv.org/abs/2104.11009v1
• [stat.ML]Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
http://arxiv.org/abs/2104.11212v1
• [stat.ML]Skeleton Clustering: Dimension-Free Density-based Clustering
Zeyu Wei, Yen-Chi Chen