Super-Resolution

Paper Group ANR 882

January 28, 2020

Effective Strategies for Using Hashtags in Online Communication. Decision-making and Fuzzy Temporal Logic. Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning. The Oracle of DLphi. Large Scale Model Predictive Control with Neural Networks and Primal Active Sets. Object Detection and 3D Estimation via an …

Paper Group ANR 885

January 28, 2020

Deep Metric Learning using Similarities from Nonlinear Rank Approximations. Graph Neural Networks for Maximum Constraint Satisfaction. Compiler-Level Matrix Multiplication Optimization for Deep Learning. Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators. A Conceptually Well-Founded Characteri …

Paper Group ANR 892

January 28, 2020

CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks. Adaptive Exploration in Linear Contextual Bandit. Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. Generalized Separable Nonnegative Matrix Factorization. A Dual Symmetric Gauss-Seidel Alternating Direction …

Paper Group ANR 893

January 28, 2020

Single MR Image Super-Resolution via Channel Splitting and Serial Fusion Network. Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution. Combined State and Parameter Estimation in Level-Set Methods. Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ide …

Paper Group ANR 904

January 28, 2020

Affordable Uplift: Supervised Randomization in Controlled Experiments. Using AI for Economic Upliftment of Handicraft Industry. Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures. Bayesian Relational Memory for Semantic Visual Navigation. LAC-Nav: Collision-Free Mutiagent Navigation Based on The Local Action Cells. N …

Paper Group ANR 909

January 28, 2020

Optimal low rank tensor recovery. AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. Decoding of visual-related information from the human EEG using an end-to-end deep learning approach. Joint Spatial and Angular Super-Resolution from a Single Image. Triangulation: Why Optimize?. Generating Highly Relevant Questions. Basis Prediction Ne …

Paper Group ANR 953

January 28, 2020

Boosting Generative Models by Leveraging Cascaded Meta-Models. Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition. A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices. Machine Translation with Cross-lingual Word Embeddings. TentacleNet: A Pseudo-Ensemble Template for Accurate Binar …

Paper Group ANR 954

January 28, 2020

Affine Disentangled GAN for Interpretable and Robust AV Perception. Learning Scalable and Precise Representation of Program Semantics. Deep Ordinal Reinforcement Learning. Scalable Influence Estimation Without Sampling. Site-specific graph neural network for predicting protonation energy of oxygenate molecules. InfoGraph: Unsupervised and Semi-supe …

Paper Group ANR 966

January 28, 2020

Bayesian Zero-Shot Learning. LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. Zero-shot Learning for Audio-based Music Classification and Tagging. Machine Learning Cryptanalysis of a Quantum Random Number Generator. Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects. Single Clas …

Paper Group ANR 968

January 28, 2020

Deep learning control of artificial avatars in group coordination tasks. On Learning Meaningful Code Changes via Neural Machine Translation. Sparse Solutions of a Class of Constrained Optimization Problems. Discourse Tagging for Scientific Evidence Extraction. Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting. Col …

Paper Group ANR 970

January 28, 2020

Approximation capabilities of neural networks on unbounded domains. Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals. Hybrid Deep Network for Anomaly Detection. Attention-Aware Linear Depthwise Convolution for Single Image Super-Resolution. How to Pick the Best Source Data? Measuring Transferability for Heterogeneous D …

Paper Group ANR 975

January 28, 2020

Serif or Sans: Visual Font Analytics on Book Covers and Online Advertisements. Robustifying deep networks for image segmentation. Single Image Super-resolution via Dense Blended Attention Generative Adversarial Network for Clinical Diagnosis. Big Data Goes Small: Real-Time Spectrum-Driven Embedded Wireless Networking Through Deep Learning in the RF …

Paper Group ANR 978

January 28, 2020

Iterative temporal differencing with random synaptic feedback weights support error backpropagation for deep learning. Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks. RoNGBa: A Robustly Optimized Natural Gradient Boosting Training Approach with Leaf Number Clipping. Making Asyn …

Paper Group ANR 996

January 28, 2020

From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences. Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning. Robust Super-Resolution GAN, with Manifold-based and Perception Loss. Blood lactate concentration prediction in critical care patients: handling missing values. …

Paper Group ANR 1075

January 27, 2020

Mixture-Model-based Bounding Box Density Estimation for Object Detection. Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets. Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. Knowledge Graph Embedding Bi-Vector Models for Symmetric Relation. MinWikiSplit: …

Paper Group ANR 1079

January 27, 2020

Reachability and Coverage Planning for Connected Agents: Extended Version. Amora: Black-box Adversarial Morphing Attack. Dynamic Graph Attention for Referring Expression Comprehension. Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images. Detection of LDDoS Atta …

Paper Group ANR 1083

January 27, 2020

Learning to Generalize from Sparse and Underspecified Rewards. Malware Detection Using Dynamic Birthmarks. Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images. Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based lear …

Paper Group ANR 1086

January 27, 2020

VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points. Energy-Based Continuous Inverse Optimal Control. AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data. Neural Network Based Parameter Estimation Method for the Pareto/NBD Model. Compressing GANs using Knowledge Distillation. …

Paper Group ANR 1093

January 27, 2020

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. Semi-Supervised First-Person Activity Recognition in Body-Worn Video. Artificial Intelligence for Prosthetics - challenge solutions. Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data. What do Deep Networks Like to …

Paper Group ANR 1099

January 27, 2020

Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. Variance Reduction for Matrix Games. A Long-Short Demands-Aware Model for Next-Item Recommendation. A Linear-complexity Multi-biometric Forensic Document Analysis System, by Fusing the Stylome and Signature Modalities. Enhancing Learnability of classification algorithms …

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 1110

January 27, 2020

6D Object Pose Estimation Based on 2D Bounding Box. Distributed Submodular Minimization via Block-Wise Updates and Communications. Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. A Multimodal Deep Network for the Reconstruction of T2W MR Images. Towards a New Understanding of the Training of Neural Networks with Mislabe …

Paper Group ANR 1117

January 27, 2020

Cross Domain Image Matching in Presence of Outliers. Measuring Dataset Granularity. Resolvable Designs for Speeding up Distributed Computing. Representing and Using Knowledge with the Contextual Evaluation Model. Forecasting Stock Market with Support Vector Regression and Butterfly Optimization Algorithm. Learning sparsity in reservoir computing th …

Paper Group ANR 1118

January 27, 2020

Dance Dance Generation: Motion Transfer for Internet Videos. Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network. Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction. Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks. Expression Analysis Ba …

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 1120

January 27, 2020

A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models. Application of Different Simulated Spectral Data and Machine Learning to Estimate the Chlorophyll a Concentration of Several Inland Waters. Food for thought: Ethical considerations of user trust in computer vision. Learning from M …

Paper Group ANR 1133

January 27, 2020

Separable Convolutional LSTMs for Faster Video Segmentation. Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR. Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression …

Paper Group ANR 1150

January 27, 2020

Pretrained Language Models for Document-Level Neural Machine Translation. Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation. Single Camera Training for Person Re-identification. Image Deconvolution with Deep Image and Kernel Priors. Liver segmentation and metastases detection in MR images using convolutional neural …