Semantic Segmentation

Paper Group ANR 380

Paper Group ANR 380

May 6, 2019

Function Driven Diffusion for Personalized Counterfactual Inference. Material Recognition from Local Appearance in Global Context. Transfer Learning for Material Classification using Convolutional Networks. A 4D Light-Field Dataset and CNN Architectures for Material Recognition. Geometry-Informed Material Recognition. Analysis of the Entropy-guided …
Paper Group ANR 382

Paper Group ANR 382

May 6, 2019

Computerized Tomography with Total Variation and with Shearlets. The SP theory of intelligence and the representation and processing of knowledge in the brain. Asymptotic sequential Rademacher complexity of a finite function class. Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments. Component-Based Distri …
Paper Group ANR 387

Paper Group ANR 387

May 6, 2019

Combination of LMS Adaptive Filters with Coefficients Feedback. Unsupervised convolutional neural networks for motion estimation. Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference. The Neural Noisy Channel. Bayesian Optical Flow …
Paper Group ANR 390

Paper Group ANR 390

May 6, 2019

UMDFaces: An Annotated Face Dataset for Training Deep Networks. Towards end-to-end optimisation of functional image analysis pipelines. A Chain-Detection Algorithm for Two-Dimensional Grids. Defensive Player Classification in the National Basketball Association. Jansen-MIDAS: a multi-level photomicrograph segmentation software based on isotropic un …
Paper Group ANR 392

Paper Group ANR 392

May 6, 2019

Microscopic Muscle Image Enhancement. Compacting Neural Network Classifiers via Dropout Training. Learning and Transfer of Modulated Locomotor Controllers. Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark. Multilingual Word Embeddings using Multigraphs. The BioDynaMo Project. Exploring high-l …
Paper Group ANR 393

Paper Group ANR 393

May 6, 2019

Theory reconstruction: a representation learning view on predicate invention. Combining local and global smoothing in multivariate density estimation. Disfluency Detection using a Bidirectional LSTM. Recommendations as Treatments: Debiasing Learning and Evaluation. Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in C …
Paper Group ANR 397

Paper Group ANR 397

May 6, 2019

Search Tracker: Human-derived object tracking in-the-wild through large-scale search and retrieval. Minimum Description Length Principle in Supervised Learning with Application to Lasso. Reinforcement Learning in Conflicting Environments for Autonomous Vehicles. Real-time Eye Gaze Direction Classification Using Convolutional Neural Network. Twitter …
Paper Group ANR 399

Paper Group ANR 399

May 6, 2019

Question Answering on Freebase via Relation Extraction and Textual Evidence. Beating level-set methods for 3D seismic data interpolation: a primal-dual alternating approach. An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages. Answering Complicated Question Intents Expressed in Decomposed Question Sequenc …
Paper Group ANR 404

Paper Group ANR 404

May 6, 2019

High-dimensional Black-box Optimization via Divide and Approximate Conquer. Weighted bandits or: How bandits learn distorted values that are not expected. Local- and Holistic- Structure Preserving Image Super Resolution via Deep Joint Component Learning. Shape and Centroid Independent Clustring Algorithm for Crowd Management Applications. Topic Mod …
Paper Group ANR 406

Paper Group ANR 406

May 6, 2019

On the Exponentially Weighted Aggregate with the Laplace Prior. Automatic 3D object detection of Proteins in Fluorescent labeled microscope images with spatial statistical analysis. How effective can simple ordinal peer grading be?. Positive Definite Estimation of Large Covariance Matrix Using Generalized Nonconvex Penalties. Hardware-oriented Appr …
Paper Group ANR 407

Paper Group ANR 407

May 6, 2019

Interactive Attention for Neural Machine Translation. Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. Comparison of Optimization Methods in Optical Flow Estimation. A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning. Quantile Reinforcement Learning. Binary Paragraph Vectors. Learning to Navigat …
Paper Group ANR 408

Paper Group ANR 408

May 6, 2019

Robust Learning of Fixed-Structure Bayesian Networks. Frankenstein: Learning Deep Face Representations using Small Data. Fast Cosine Transform to increase speed-up and efficiency of Karhunen-Loeve Transform for lossy image compression. INSIGHT-1 at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification and Quantification. B …
Paper Group ANR 409

Paper Group ANR 409

May 6, 2019

Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies. Sampled Image Tagging and Retrieval Methods on User Generated Content. DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns. Adaptive mixed norm optical flow estimation. DeepText: A Unified Framework for Text Proposal Generation and Text …
Paper Group ANR 413

Paper Group ANR 413

May 6, 2019

Patient-Driven Privacy Control through Generalized Distillation. Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks. A Persona-Based Neural Conversation Model. ResFeats: Residual Network Based Features for Image Classification. Towards a Cognitive Routing Engine for Software Defined Networks. Exploration Pot …
Paper Group ANR 423

Paper Group ANR 423

May 6, 2019

Semantic Facial Expression Editing using Autoencoded Flow. Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning. Conversational Markers of Constructive Discussions. Syntactically Guided Neural Machine Translation. Stochastic Dykstra Algorithms for Metric Learning on Positive Semi-Definite Cone. Detecting Moving …
Paper Group ANR 424

Paper Group ANR 424

May 6, 2019

Multi-stage Object Detection with Group Recursive Learning. Multi-Information Source Optimization. A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations. A Bayesian approach to type-specific conic fitting. Context and Interference Effects in the Combinations of Natural Concepts. 1.5 billion words Arabic Corpus …
Paper Group ANR 427

Paper Group ANR 427

May 6, 2019

A Bayesian Ensemble for Unsupervised Anomaly Detection. Deep Multi-Species Embedding. Quantitative Analysis of Saliency Models. Sentiment Classification of Food Reviews. Labeling Topics with Images using Neural Networks. Theoretical Analysis of Active Contours on Graphs. A computer program for simulating time travel and a possible ‘solution’ for th …
Paper Group ANR 429

Paper Group ANR 429

May 6, 2019

Error Metrics for Learning Reliable Manifolds from Streaming Data. Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution. Proactive Message Passing on Memory Factor Networks. Testing APSyn against Vector Cosine on Similarity Estimation. Lightweight Unsupervised Domain Adaptation by Convolutional Filter R …
Paper Group ANR 430

Paper Group ANR 430

May 6, 2019

Network Structure Inference, A Survey: Motivations, Methods, and Applications. Strategies for Searching Video Content with Text Queries or Video Examples. Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures. Simultaneous Low-rank Component and Graph Estimation for High-dimensional Graph Signals: Application to Brain …
Paper Group ANR 438

Paper Group ANR 438

May 5, 2019

Weighted Unsupervised Learning for 3D Object Detection. An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition. Unbiased Sparse Subspace Clustering By Selective Pursuit. Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation. Investigating gated recurrent neural networks for speech …
Paper Group ANR 441

Paper Group ANR 441

May 5, 2019

One-Shot Generalization in Deep Generative Models. GMM-Free Flat Start Sequence-Discriminative DNN Training. Active exploration in parameterized reinforcement learning. AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech. Distributed Multi-Task Relationship Learning. Video Propagation Networks. Tracking Amendments to Legislation and …
Paper Group ANR 446

Paper Group ANR 446

May 5, 2019

Neural Name Translation Improves Neural Machine Translation. Recurrent Neural Network Encoder with Attention for Community Question Answering. Probabilistic structure discovery in time series data. Deep Neural Networks to Enable Real-time Multimessenger Astrophysics. Self-Transfer Learning for Fully Weakly Supervised Object Localization. Geometry-a …
Paper Group ANR 448

Paper Group ANR 448

May 5, 2019

A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations. Measuring Asymmetric Opinions on Online Social Interrelationship with Language and Network Features. Applying Artifical Neural Networks To Predict Nominal Vehicle Performance. Unsupervised Regenerative Learning of Hierarchical Features in Spiking Deep …
Paper Group ANR 450

Paper Group ANR 450

May 5, 2019

Transport Analysis of Infinitely Deep Neural Network. A Hackathon for Classical Tibetan. Mahalanobis Distance for Class Averaging of Cryo-EM Images. Fractional Order Load-Frequency Control of Interconnected Power Systems Using Chaotic Multi-objective Optimization. Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Co …
Paper Group ANR 456

Paper Group ANR 456

May 5, 2019

Human Attention Estimation for Natural Images: An Automatic Gaze Refinement Approach. Autoregressive Moving Average Graph Filtering. Embedded Bandits for Large-Scale Black-Box Optimization. Joint Defogging and Demosaicking. Sparse Recovery from Extreme Eigenvalues Deviation Inequalities. Handwriting Profiling using Generative Adversarial Networks. …
Paper Group ANR 457

Paper Group ANR 457

May 5, 2019

Learning recurrent representations for hierarchical behavior modeling. A framework for mining process models from emails logs. Nighttime Haze Removal with Illumination Correction. ReasoNet: Learning to Stop Reading in Machine Comprehension. Fine-scale Surface Normal Estimation using a Single NIR Image. A System for Probabilistic Linking of Thesauri …
Paper Group ANR 463

Paper Group ANR 463

May 5, 2019

How useful is photo-realistic rendering for visual learning?. Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation. Functorial Hierarchical Clustering with Overlaps. Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks. Surpassing Gradient Descent Provably: A Cyclic Incremental Method wit …
Paper Group ANR 475

Paper Group ANR 475

May 5, 2019

A Spatio-Temporal Representation for the Orienteering Problem with Time-Varying Profits. On Reducing the Number of Visual Words in the Bag-of-Features Representation. UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS. Content-Based Top-N Recommendation using Heterogeneous Relations. Alternating optimi …