Papers
Thu 22 Apr 2021
130 papers
- Restoring degraded speech via a modified diffusion modelDiffusion models → Audio, speech and music
- Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases RecognitionKnowledge distillation → Distillation for medical imaging
- Mini-batch graphs for robust image classification
- Detect caterpillar, grasshopper, aphid and simulation program for neutralizing them by laser
- Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental Hydrodynamics
- Fuzzy Expert Systems for Prediction of ICU Admission in Patients with COVID-19
- MAQ-CaF: A Modular Air Quality Calibration and Forecasting method for cross-sensitive pollutants
- Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs
- Bayesian Numerical Methods for Nonlinear Partial Differential Equations
- Understanding and Avoiding AI Failures: A Practical Guide
- Deep Lucas-Kanade Homography for Multimodal Image Alignment
- Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities
- Software-Defined Edge Computing: A New Architecture Paradigm to Support IoT Data Analysis
- SBNet: Segmentation-based Network for Natural Language-based Vehicle Search
- Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities
- Earnings-21: A Practical Benchmark for ASR in the Wild
- A Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control
- SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
- On Geodesic Distances and Contextual Embedding Compression for Text Classification
- H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry
- Connecting Hamilton--Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors
- A Dimension-Insensitive Algorithm for Stochastic Zeroth-Order Optimization
- Motion Representations for Articulated Animation
- Constructing a personalized learning path using genetic algorithms approach
- Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images
- Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms
- VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution
- Cross-Domain and Disentangled Face Manipulation with 3D Guidance
- Multiscale Vision Transformers
- Pri3D: Can 3D Priors Help 2D Representation Learning?
- KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
- On Aliased Resizing and Surprising Subtleties in GAN Evaluation
- Opening up Open-World Tracking
- Hierarchical Motion Understanding via Motion Programs
- ManipulaTHOR: A Framework for Visual Object Manipulation
- Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
- Deep Video Matting via Spatio-Temporal Alignment and Aggregation
- Fully Convolutional Line Parsing
- Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention
- Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks
- Variational Bayesian Supertrees
- Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
- H2O: Two Hands Manipulating Objects for First Person Interaction Recognition
- Maneuver-based Anchor Trajectory Hypotheses at Roundabouts
- VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
- Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation
- Knowledge Triggering, Extraction and Storage via Human-Robot Verbal Interaction
- Noise-Robust Deep Spiking Neural Networks with Temporal Information
- Hierarchical growing grid networks for skeleton based action recognition
- An End-to-End Computer Vision Methodology for Quantitative Metallography
- Trust as Extended Control: Active Inference and User Feedback During Human-Robot Collaboration
- An Efficient One-Class SVM for Anomaly Detection in the Internet of Things
- Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks
- NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
- Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval
- Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network
- Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
- A Feature Selection Method for Multi-Dimension Time-Series Data
- Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data
- Synchronization of Tree Parity Machines using non-binary input vectors
- Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
- Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors
- Survey on Modeling Intensity Function of Hawkes Process Using Neural Models
- Chasing Collective Variables using Autoencoders and biased trajectories
- MRRT: Multiple Rapidly-Exploring Random Trees for Fast Online Replanning in Dynamic Environments
- Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
- Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems
- Protecting gender and identity with disentangled speech representations
- Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
- Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames
- Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance
- MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation
- Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View
- A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation
- Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation
- Network Space Search for Pareto-Efficient Spaces
- Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes
- Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder
- Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition
- A learning gap between neuroscience and reinforcement learning
- METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy
- Reinforcement Learning using Guided Observability
- VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving
- Neuro-inspired edge feature fusion using Choquet integrals
- ImageNet-21K Pretraining for the Masses
- Time series analysis with dynamic law exploration
- Compressive lensless endoscopy with partial speckle scanning
- FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
- Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
- CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
- Enabling Cross-Layer Reliability and Functional Safety Assessment Through ML-Based Compact Models
- SoT: Delving Deeper into Classification Head for Transformer
- Semiotic Aggregation in Deep Learning
- Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks
- Continental-scale land cover mapping at 10 m resolution over Europe (ELC10)
- Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem
- Automated Tackle Injury Risk Assessment in Contact-Based Sports -- A Rugby Union Example
- Converting ADMM to a Proximal Gradient for Efficient Sparse Estimation
- XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction
- Blockchain based Privacy-Preserved Federated Learning for Medical Images: A Case Study of COVID-19 CT Scans
All 130
- Self-Supervised Learning from Semantically Imprecise Data
- Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images
- Enriched Attention for Robust Relation Extraction
- Computer Vision-based Social Distancing Surveillance Solution with Optional Automated Camera Calibration for Large Scale Deployment
- Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
- Efficient LiDAR Odometry for Autonomous Driving
- Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning
- Mosaic Flows: A Transferable Deep Learning Framework for Solving PDEs on Unseen Domains
- Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting
- All Tokens Matter: Token Labeling for Training Better Vision Transformers
- Attribute-Modulated Generative Meta Learning for Zero-Shot Classification
- Frequency Domain Loss Function for Deep Exposure Correction of Dark Images
- InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
- Continuous Learning and Adaptation with Membrane Potential and Activation Threshold Homeostasis
- A Strong Baseline for Vehicle Re-Identification
- Localization of Ice-Rink for Broadcast Hockey Videos
- Optimize Neural Fictitious Self-Play in Regret Minimization Thinking
- Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation
- Robust Certification for Laplace Learning on Geometric Graphs
- DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
- Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations
- Fuzzy Classification of Multi-intent Utterances
- Self-optimizing loop sifting and majorization for 3D reconstruction
- Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations
- An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering
- XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees
- Finding Fuzziness in Neural Network Models of Language Processing
- A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP
- Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand?
- COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations