Visual Object Tracking

Paper Group AWR 54

February 2, 2020

Distribution-Aware Coordinate Representation for Human Pose Estimation. Hierarchical Graph Pooling with Structure Learning. Learning Discriminative Model Prediction for Tracking. Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases. Kervolutional Neural Networks. Consistency-Aware Recommendation for User-Generated Ite …

Paper Group AWR 247

February 1, 2020

DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention. Regularizing Neural Networks for Future Trajectory Prediction via Inverse Reinforcement Learning Framework. Graph-Based Object Classification for Neuromorphic Vision Sensing. Tag-based Multi-Span Extraction in Reading Comprehension. Biologically plausible deep le …

Paper Group AWR 291

February 1, 2020

What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction. CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity. Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures. Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics – A Comprehensive …

Paper Group AWR 334

February 1, 2020

GraphTSNE: A Visualization Technique for Graph-Structured Data. Neural Embedding Propagation on Heterogeneous Networks. Attention Based Pruning for Shift Networks. DANE: Domain Adaptive Network Embedding. Fast Visual Object Tracking with Rotated Bounding Boxes. SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in …

Paper Group AWR 91

February 1, 2020

Unsupervised Label Noise Modeling and Loss Correction. On improving deep learning generalization with adaptive sparse connectivity. Deep Density-aware Count Regressor. Generative Adversarial Networks for text using word2vec intermediaries. Learning to Optimize Multigrid PDE Solvers. Attention model for articulatory features detection. Graph Embedde …

Paper Group ANR 158

January 31, 2020

A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights. A Review of methods for Textureless Object Recognition. CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks. Comparing Samples from …

Paper Group AWR 431

January 31, 2020

d-blink: Distributed End-to-End Bayesian Entity Resolution. PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification. QASC: A Dataset for Question Answering via Sentence Composition. Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. Optimal Transport-based Alignment of Learned Character Re …

Paper Group AWR 436

January 31, 2020

TransNet: A deep network for fast detection of common shot transitions. Representation Learning-Assisted Click-Through Rate Prediction. Quasi-Newton Methods for Deep Learning: Forget the Past, Just Sample. Theory of the Frequency Principle for General Deep Neural Networks. Persistency of Excitation for Robustness of Neural Networks. Cascaded LSTMs …

Paper Group AWR 437

January 31, 2020

Riemannian adaptive stochastic gradient algorithms on matrix manifolds. DoorGym: A Scalable Door Opening Environment And Baseline Agent. Efficient Derivative Computation for Cumulative B-Splines on Lie Groups. Robustness for Non-Parametric Classification: A Generic Attack and Defense. #MeTooMaastricht: Building a chatbot to assist survivors of sexu …

Paper Group AWR 452

January 31, 2020

Stacked Capsule Autoencoders. ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents. Segmenting the Future. Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. GradNet: Gradient-Guided Network for Visual Object Tracking. Retrieval-based Localization Based on Domain-invariant …

Paper Group AWR 457

January 31, 2020

SinGAN: Learning a Generative Model from a Single Natural Image. Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification. The Limited Multi-Label Projection Layer. Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research. Learning to Regress 3D Face Shape and Expressi …

Paper Group ANR 243

January 30, 2020

Physics Informed Extreme Learning Machine (PIELM) – A rapid method for the numerical solution of partial differential equations. Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks. GraphNAS: Graph Neural Architecture Search with Reinforcement Learning. Phoneme Level Language Models for Sequence Based Low Resource A …

Paper Group ANR 257

January 30, 2020

Characterizing the Social Interactions in the Artificial Bee Colony Algorithm. A comparison of Deep Learning performances with other machine learning algorithms on credit scoring unbalanced data. What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination. Distributed SGD Generalizes Well Under Asynchrony. Superposition as …

Paper Group ANR 266

January 30, 2020

Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation. The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation. Approximating probabilistic models as weighted finite automata. CAESAR source finder: recent developments and testing. Analysis of “User-Specific Effect” and Impact of Operator Skills on Fingerprint PA …

Paper Group ANR 558

January 29, 2020

Paper Group ANR 567

January 29, 2020

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction. Localized Linear Regression in Networked Data. Increasing city safety awareness regarding disruptive traffic stream. Accelerated Discovery of Sustainable Building Materials. Human-AI Co-Learning for Data-Driven AI. PingPong: Packet-Level Signatures for Smar …

Paper Group ANR 639

January 29, 2020

Influence of Pointing on Learning to Count: A Neuro-Robotics Model. A Linearly Constrained Nonparametric Framework for Imitation Learning. Driver Distraction Identification with an Ensemble of Convolutional Neural Networks. Improving Human Annotation in Single Object Tracking. Correlation Priors for Reinforcement Learning. Modeling German Verb Argu …

Paper Group ANR 725

January 29, 2020

Nostalgin: Extracting 3D City Models from Historical Image Data. Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression. Deterministic Completion of Rectangular Matrices Using Ramanujan Bigraphs – II: Explicit Cons …

Paper Group ANR 1068

January 27, 2020

Siam R-CNN: Visual Tracking by Re-Detection. Improve Object Detection by Data Enhancement based on Generative Adversarial Nets. RED: A ReRAM-based Deconvolution Accelerator. VAE-based regularization for deep speaker embedding. AANet: Attribute Attention Network for Person Re-Identifications. LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Inform …

Paper Group ANR 1230

January 27, 2020

Efficient Residual Dense Block Search for Image Super-Resolution. Political Discussions in Homogeneous and Cross-Cutting Communication Spaces. Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer. Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods. Dynamic Convolution: Attention over …

Paper Group ANR 1237

January 27, 2020

Spooky effect in optimal OSPA estimation and how GOSPA solves it. View-invariant Deep Architecture for Human Action Recognition using late fusion. Vision-model-based Real-time Localization of Unmanned Aerial Vehicle for Autonomous Structure Inspection under GPS-denied Environment. RSA: Randomized Simulation as Augmentation for Robust Human Action R …

Paper Group ANR 1316

January 27, 2020

PHT-bot: Deep-Learning based system for automatic risk stratification of COPD patients based upon signs of Pulmonary Hypertension. Attention-based Supply-Demand Prediction for Autonomous Vehicles. A Stochastic Variance Reduced Nesterov’s Accelerated Quasi-Newton Method. Anti-efficient encoding in emergent communication. Relaxed Softmax for learning …

Paper Group ANR 1490

January 26, 2020

On the Convergence of Perturbed Distributed Asynchronous Stochastic Gradient Descent to Second Order Stationary Points in Non-convex Optimization. Learned In Speech Recognition: Contextual Acoustic Word Embeddings. Automatic brain tissue segmentation in fetal MRI using convolutional neural networks. Enforcing constraints for time series prediction …

Paper Group ANR 1574

January 26, 2020

OntoScene, A Logic-based Scene Interpreter: Implementation and Application in the Rock Art Domain. Efficient Deep Neural Networks. Wasserstein total variation filtering. Audio-Visual Embodied Navigation. Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings. AnimalWeb: A Large-Scale Hierarchical Dataset of Anno …

Paper Group ANR 1627

January 25, 2020

Experience Reuse with Probabilistic Movement Primitives. Weakly Supervised Person Re-Identification. Emerging Cross-lingual Structure in Pretrained Language Models. Adaptive Gradient for Adversarial Perturbations Generation. Rethinking Convolutional Features in Correlation Filter Based Tracking. Measuring the influence of mere exposure effect of TV …

Paper Group ANR 1631

January 25, 2020

Chainer: A Deep Learning Framework for Accelerating the Research Cycle. Multi-sense Definition Modeling using Word Sense Decompositions. Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network. Black-Box Decision based Adversarial Attack with Symmetric $α$-stable Distribution. Domain-Specific Priors and Meta L …

Paper Group ANR 1759

January 25, 2020

Proposition d’un modèle pour l’optimisation automatique de boucles dans le compilateur Tiramisu : cas d’optimisation de déroulage. ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations. Towards a Philological Metric through a Topological Data Analysis Approach. Learning Rotation Adaptive Correlation Filters in Robust …

Paper Group NANR 217

January 24, 2020

CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. Read, Attend and Comment: A Deep Architecture for Automatic NewsComment Generation. An Encoder with non-Sequential Dependency for Neural Data-to-Text Generation. A Closer Look at Recent Results of Verb Selection for Data-to-Text NLG. Detecting Out-Of-Distribution Samples Using Lo …