Multi-Object Tracking

Paper Group AWR 106

February 1, 2020

Tracking without bells and whistles. Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning. IoU-uniform R-CNN: Breaking Through the Limitations of RPN. MoGA: Searching Beyond MobileNetV3. Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders. BERT has a Mouth, and It Must Speak: BERT as a Mark …

Paper Group AWR 121

February 1, 2020

Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module. Validating the Validation: Reanalyzing a large-scale comparison of Deep Learning and Machine Learning models for bioactivity prediction. Safe Policy Improvement with Soft Baseline Bootstrapping. Dense Scale Network for Crowd Counting. Learning Dynamic Author Representations w …

Paper Group AWR 149

February 1, 2020

Learning the Tangent Space of Dynamical Instabilities from Data. Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation. Deeply-supervised Knowledge Synergy. Using LSTMs for climate change assessment studies on droughts and floods. Adaptive Morphological Reconstruction for Seeded Image Segmentati …

Paper Group AWR 245

February 1, 2020

Automated Machine Learning with Monte-Carlo Tree Search. Efficient Neural Interaction Function Search for Collaborative Filtering. Discovering the Compositional Structure of Vector Representations with Role Learning Networks. Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study. Pushing the Boundaries of View Extr …

Paper Group AWR 263

February 1, 2020

A Scalable Hybrid Research Paper Recommender System for Microsoft Academic. A Bi-directional Transformer for Musical Chord Recognition. Exploring Deep Anomaly Detection Methods Based on Capsule Net. Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation. More Efficient Policy Learning via Optimal Retargeting. INFER: INterm …

Paper Group AWR 280

February 1, 2020

Multi-scale Dynamic Feature Encoding Network for Image Demoireing. SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations. Differentiation of Blackbox Combinatorial Solvers. SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking. Variational Bayesian Decision-making for Continuous Utilities. Boosting …

Paper Group AWR 358

February 1, 2020

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. VarNet: Variational Neural Networks for the Solution of Partial Differential Equations. Safe Coordination of Human-Robot Firefighting Teams. 360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume. Full-Stack Filters to Build Minimum Viable CNNs. Generating Timelines …

Paper Group ANR 129

January 31, 2020

Distributed Deep Learning Strategies For Automatic Speech Recognition. MMTM: Multimodal Transfer Module for CNN Fusion. A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging. Leveraging External Knowledge for Out-Of-Vocabulary Entity Labeling. BUOCA: Budget-Optimized Crowd Worker Allocation. Copy-Enhanced Heterogeneous I …

Paper Group ANR 157

January 31, 2020

Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications. Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra. Model-Agnostic Linear Competitors – When Interpretable Models Compete and Collaborate with Black-Box Models. Data Context Adaptation for Accurate Recommendation with Additional Inf …

Paper Group AWR 429

January 31, 2020

Online Multi-Object Tracking with Dual Matching Attention Networks. Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features. daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices. A Higher-Order Swiss Army Infinitesimal Jackknife. VarGFaceNet: An Efficient Variable Group Convolutional Neura …

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 ANR 568

January 29, 2020

Ensemble Distribution Distillation. When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. Towards Ranking Geometric Automated Theorem Provers. Energy-based Graph Convolutional Networks for Scoring Protein Docking Models. Distributed Answer Set Coloring: Stable Models Compu …

Paper Group ANR 610

January 29, 2020

Effective and Efficient Indexing in Cross-Modal Hashing-Based Datasets. Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps. Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients. The Second DIHARD Diarization Challenge: Dataset, task, and baselines. Some Considerations and a Be …

Paper Group ANR 634

January 29, 2020

Scalable Exact Inference in Multi-Output Gaussian Processes. Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles. Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants. High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes. Robust Prediction when Features are Missing. Multi-Objec …

Paper Group ANR 640

January 29, 2020

Eye in the Sky: Drone-Based Object Tracking and 3D Localization. Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning. Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach). The Quest for Interpretable and Responsible Artificial Intelligence. Maximal Margin Distribution Support Vector Regressio …

Paper Group ANR 671

January 29, 2020

On-line learning dynamics of ReLU neural networks using statistical physics techniques. Virtual Ground Truth, and Pre-selection of 3D Interest Points for Improved Repeatability Evaluation of 2D Detectors. A new Backdoor Attack in CNNs by training set corruption without label poisoning. Kernel Mean Embedding of Instance-wise Predictions in Multiple …

Paper Group ANR 672

January 29, 2020

Proposition d’une nouvelle approche d’extraction des motifs fermés fréquents. Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. EAT2seq: A generic framework for controlled sentence transformation without task-specific training. Sudden Death: A New Way to Compare Recommendation Diversificatio …

Paper Group ANR 1036

January 28, 2020

Learning Multi-Object Tracking and Segmentation from Automatic Annotations. Deep reinforcement learning in World-Earth system models to discover sustainable management strategies. Predicting Landslides Using Contour Aligning Convolutional Neural Networks. Image-Based Feature Representation for Insider Threat Classification. Improving a tf-idf weigh …

Paper Group ANR 784

January 28, 2020

Learning to Request Guidance in Emergent Communication. Machine Learning and Big Scientific Data. Fluxonic Processing of Photonic Synapse Events. SPMF: A Social Trust and Preference Segmentation-based Matrix Factorization Recommendation Algorithm. Rotation-invariant shipwreck recognition with forward-looking sonar. Inferring Javascript types using …

Paper Group ANR 842

January 28, 2020

Investment Ranking Challenge: Identifying the best performing stocks based on their semi-annual returns. End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning. When is a Prediction Knowledge?. Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views. Dissecting Non-Vacuous Gene …

Paper Group ANR 933

January 28, 2020

X-Section: Cross-Section Prediction for Enhanced RGBD Fusion. Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax. Dynamic Matrix Decomposition for Action Recognition. Deep Features Analysis with Attention Networks. A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots. Wasserstein Adversarial Imitation Lear …

Paper Group ANR 989

January 28, 2020

Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm. An attempt at beating the 3D U-Net. Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees. End-to-End Learning Deep CRF models for Multi-Object Tracking. Robust Membership Encoding: Inference Attacks and Copyright Protection for …

Paper Group ANR 1073

January 27, 2020

AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks. Toward Automated Quest Generation in Text-Adventure Games. PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation. Real-Time Dense Stereo Embedded in A UAV for Road Inspection. A fast multi-object tracking system using an object detector ensemble. SDC - Stacked Dilated Conv …

Paper Group ANR 1244

January 27, 2020

Robust Temporal Difference Learning for Critical Domains. $L^γ$-PageRank for Semi-Supervised Learning. FASTER: Fusion AnalyticS for public Transport Event Response. Adversarial Distillation for Ordered Top-k Attacks. Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy. Sparse linear regression with compressed and low-precision data …

Paper Group ANR 1359

January 26, 2020

CrossNorm: Normalization for Off-Policy TD Reinforcement Learning. Convolutional Relational Machine for Group Activity Recognition. Deep Learning for Distributed Optimization: Applications to Wireless Resource Management. FANTrack: 3D Multi-Object Tracking with Feature Association Network. Evaluating Memento Service Optimizations. Differentially Pr …

Paper Group ANR 1398

January 26, 2020

CN-CELEB: a challenging Chinese speaker recognition dataset. Deep Learning in Video Multi-Object Tracking: A Survey. Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training. On Distance and Kernel Measures of Conditional Independence. Fac …

Paper Group ANR 1500

January 26, 2020

Expressiveness and Learning of Hidden Quantum Markov Models. Multi-person Articulated Tracking with Spatial and Temporal Embeddings. A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data. Data Proxy Generation for Fast and Efficient Neural Architecture Search. The False Positive Control Lasso. An In-Depth Study on Open-Set …

Paper Group ANR 1530

January 26, 2020