Image Restoration

Paper Group ANR 131

January 31, 2020

Stateful Detection of Black-Box Adversarial Attacks. Quantum Data Fitting Algorithm for Non-sparse Matrices. Loss Switching Fusion with Similarity Search for Video Classification. A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample. Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence. Bandit …

Paper Group ANR 177

January 31, 2020

A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution. Privacy-Preserving Action Recognition using Coded Aperture Videos. Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification. Qini-based Uplift Regression. Interaction is necessary for distributed learning with priv …

Paper Group ANR 50

January 31, 2020

Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks. End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances. Unsupervised Projection Networks for Generative Adversarial Networks. Generating Semantic Adversarial Examples with Differentiable Rendering …

Paper Group ANR 65

January 31, 2020

A Dynamic Sampling Adaptive-SGD Method for Machine Learning. An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada. Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations. Pa …

Paper Group AWR 381

January 31, 2020

Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network. Temporal Reasoning via Audio Question Answering. DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition. Mimetics: Towards Understanding Human Actions Out of Context. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. Affect-bas …

Paper Group AWR 421

January 31, 2020

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. Emerging Convolutions for Generative Normalizing Flows. Automatic Temporally Coherent Video Colorization. SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses. A Personalized Subreddit Recommendation …

Paper Group ANR 302

January 30, 2020

Restricted Linearized Augmented Lagrangian Method for Euler’s Elastica Model. Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems. Extracting Interpretable Concept-Based Decision Trees from CNNs. To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene. Towards Explainable Music Emotion Recognition: The Route via Mid- …

Paper Group ANR 421

January 30, 2020

Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder. Intelligent Active Queue Management Using Explicit Congestion Notification. I Can See Clearly Now : Image Restoration via De-Raining. LSTM Networks Can Perform Dynamic Counting …

Paper Group ANR 431

January 30, 2020

Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps. The Information Complexity of Learning Tasks, their Structure and their Distance. A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection. Pre …

Paper Group ANR 534

January 29, 2020

Visual Space Optimization for Zero-shot Learning. Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing. Degrees of Freedom Analysis of Unrolled Neural Networks. Control-Tutored Reinforcement Learning. Joint Concept Matching based Learning for Zero-Shot Recognition. Forget the Learning Rate, Dec …

Paper Group ANR 548

January 29, 2020

Machine learning and glioma imaging biomarkers. Splitting Methods for Convex Bi-Clustering and Co-Clustering. Learning Multilingual Word Embeddings Using Image-Text Data. PVSS: A Progressive Vehicle Search System for Video Surveillance Networks. Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. Towards vision-based robotic skins: a …

Paper Group ANR 572

January 29, 2020

Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations. A Study and Analysis of a Feature Subset Selection Technique using Penguin Search Optimization Algorithm (FS-PeSOA). Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank. Asymptotic Bayes risk for Gaussian mixture in a s …

Paper Group ANR 724

January 29, 2020

Listening between the Lines: Learning Personal Attributes from Conversations. Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder. On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM. Modeling Confidence in Sequence-to-Sequence Models. Stochastic Conditional Gradient++. Improved Algorithm on Online Cluster …

Paper Group ANR 1016

January 28, 2020

A New Approach for Explainable Multiple Organ Annotation with Few Data. Stochastic Inverse Reinforcement Learning. Parareal with a Learned Coarse Model for Robotic Manipulation. Generalized Linear Rule Models. Generative Imaging and Image Processing via Generative Encoder. A Hierarchical Bayesian Model for Size Recommendation in Fashion. A Deep Lea …

Paper Group ANR 1102

January 27, 2020

The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares. Column generation for the discrete Unit Commitment problem with min-stop ramping constraints. Automated Circuit Approximation Method Driven by Data Distribution. Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture …

Paper Group ANR 1119

January 27, 2020

Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search. Causal inference with Bayes rule. Exploring Semi-supervised Variational Autoencoders for Biomedical Relation Extraction. Fast Bayesian Uncertainty Estimation of Batch Normalized Single Image Super-Resolution Network. Automated detection of celiac disease on duodenal biopsy slides: …

Paper Group ANR 1214

January 27, 2020

Semantic Analysis of Traffic Camera Data: Topic Signal Extraction and Anomalous Event Detection. Short-and-Sparse Deconvolution – A Geometric Approach. Blind Image Deconvolution using Pretrained Generative Priors. An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. Edge Heuristic GAN for Non-uniform Blind Deblu …

Paper Group ANR 1231

January 27, 2020

Abnormal Client Behavior Detection in Federated Learning. Interrupted and cascaded permutation invariant training for speech separation. Mixup-breakdown: a consistency training method for improving generalization of speech separation models. Robust Deep Neural Networks Inspired by Fuzzy Logic. A Reinforcement Learning Approach for the Multichannel …

Paper Group ANR 1232

January 27, 2020

Leaf segmentation through the classification of edges. DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors. A Fast Free-viewpoint Video Synthesis Algorithm for Sports Scenes. Towards Annotating and Creating Sub-Sentence Summary Highlights. MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition. L …

Paper Group ANR 1254

January 27, 2020

Current Challenges in Spoken Dialogue Systems and Why They Are Critical for Those Living with Dementia. Optimising the Input Image to Improve Visual Relationship Detection. Deep Learning for Stock Selection Based on High Frequency Price-Volume Data. Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine s …

Paper Group ANR 1291

January 27, 2020

Posing Fair Generalization Tasks for Natural Language Inference. A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. A clusterwise supervised learning procedure based on aggregation of distances. Does Object Recognition Work for Everyone?. Face Detection and Face Recognition In the Wild Using Off-the-She …

Paper Group ANR 1367

January 26, 2020

User-Oriented Summaries Using a PSO Based Scoring Optimization Method. Risk-Aware Active Inverse Reinforcement Learning. When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. Interpretable Complex-Valued Neural Networks for Privacy Protection. Dynamic optimization with side information. Prostate Segmentation from 3D MRI Us …

Paper Group ANR 1396

January 26, 2020

Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers. Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance. A Bandit Framework for Optimal Selection of Reinforcement Learning Agents. Evaluation of a Recommender System for Assisting Novice Game Designers. Semi-supervised Image Attribute Editing using Generative Adv …

Paper Group ANR 1401

January 26, 2020

SPGNet: Semantic Prediction Guidance for Scene Parsing. Program-Guided Image Manipulators. Lunar surface image restoration using U-net based deep neural networks. Clustering of solutions in the symmetric binary perceptron. Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation. Generating 3D People in Scenes without People. …

Paper Group ANR 1441

January 26, 2020

Single-step Options for Adversary Driving. Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods. Federated Learning of N-gram Language Models. Relation-Aware Graph Attention Network for Visual Question Answering. Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval. …

Paper Group ANR 1537

January 26, 2020

Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding. Optimization of Inf-Convolution Regularized Nonconvex Composite Problems. Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. Landscape Complexity for the Empirical Risk of Generalized Linear Models. Self-supervis …

Paper Group ANR 1558

January 26, 2020

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling. Graph Convolution for Multimodal Information Extraction from Visually Rich Documents. Early Prediction of Alzheimer’s Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Foll …

Paper Group ANR 1559

January 26, 2020

RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection. Density Matrices with metric for Derivational Ambiguity. Path-Restore: Learning Network Path Selection for Image Restoration. PROPS: Probabilistic personalization of black-box sequence models. Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Image …