motion prediction

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 221

February 1, 2020

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification. ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks. Missing Data Imputation with Adversarially-trained Graph Convolutional Networks. Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks. Structured Va …

Paper Group AWR 274

February 1, 2020

DeepView: Visualizing the behavior of deep neural networks in a part of the data space. Poisoning Attacks with Generative Adversarial Nets. QPyTorch: A Low-Precision Arithmetic Simulation Framework. Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics. Architectural Middleware that Supports Building High-performance, …

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 329

February 1, 2020

Attentive Single-Tasking of Multiple Tasks. Graphical model inference: Sequential Monte Carlo meets deterministic approximations. Explaining individual predictions when features are dependent: More accurate approximations to Shapley values. Eliciting New Wikipedia Users’ Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Co …

Paper Group AWR 333

February 1, 2020

TechNet: Technology Semantic Network Based on Patent Data. Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection. Deep Session Interest Network for Click-Through Rate Prediction. CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB. Learning Trajectory Dependencies for Human Motion Prediction. NL …

Paper Group AWR 337

February 1, 2020

Neural Scene Decomposition for Multi-Person Motion Capture. A Functional Representation for Graph Matching. Relational Graph Attention Networks. Unsupervised Traffic Accident Detection in First-Person Videos. Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks. SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited …

Paper Group ANR 132

January 31, 2020

Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction. Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network. Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Appli …

Paper Group ANR 173

January 31, 2020

Estimation of Tire-Road Friction for Road Vehicles: a Time Delay Neural Network Approach. Sample Complexity Lower Bounds for Linear System Identification. Self-Paced Probabilistic Principal Component Analysis for Data with Outliers. Sequence Labeling Parsing by Learning Across Representations. How Large Are Lions? Inducing Distributions over Quanti …

Paper Group AWR 438

January 31, 2020

Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates. Improved ICH classification using task-dependent learning. 3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams. Neural Outlier Rejection for Self-Supervised Keypoint Learning. TorchBeast: A PyTorch Platform for Distribu …

Paper Group AWR 454

January 31, 2020

GRIP: Graph-based Interaction-aware Trajectory Prediction. Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model. Flow-Motion and Depth Network for Monocular Stereo and Beyond. Meta-learnt priors slow down catastrophic forgetting in neural networks. Indoor Depth Completion with Boundary Consistency and Self-Attention. Omni …

Paper Group ANR 199

January 30, 2020

Weakly Labeling the Antarctic: The Penguin Colony Case. Unseen Object Segmentation in Videos via Transferable Representations. Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO. L2P: An Algorithm for Estimating Heavy-tailed Outcomes. LYRICS: a General Interface Layer to Integrate Logic Inference and De …

Paper Group ANR 504

January 29, 2020

Unsupervised Discovery of Parts, Structure, and Dynamics. Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks. A Multi-Domain Feature Learning Method for Visual Place Recognition. Sampling Humans for Optimizing Preferences in Coloring Artwork. INTERACTION Dataset: An INTERnational, Adversarial and …

Paper Group ANR 603

January 29, 2020

RNN-based Generative Model for Fine-Grained Sketching. Joint shape learning and segmentation for medical images using a minimalistic deep network. NEMO: Future Object Localization Using Noisy Ego Priors. Credit Card Fraud Detection Using Autoencoder Neural Network. Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction. Contextu …

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 611

January 29, 2020

A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders. The impact of patient clinical information on automated skin cancer detection. Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning. GAMMA: A General Agent Motion Prediction Model for Auto …

Paper Group ANR 649

January 29, 2020

Migration through Machine Learning Lens – Predicting Sexual and Reproductive Health Vulnerability of Young Migrants. JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English. A Quantum Computational Approach to Correspondence Problems on Point Sets. Detecting Local Insights from Global Labels: Supe …

Paper Group ANR 673

January 29, 2020

Machine Learning in/for Blockchain: Future and Challenges. Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. Learning stochastic differential equations using RNN with log signature features. Multi-atlas image registration of clinical data with automated quality assessment using ventricle segment …

Paper Group ANR 766

January 29, 2020

A Critical Analysis of Biased Parsers in Unsupervised Parsing. Smooth Adversarial Examples. Non-negative representation based discriminative dictionary learning for face recognition. Inductive Guided Filter: Real-time Deep Image Matting with Weakly Annotated Masks on Mobile Devices. From Observability to Significance in Distributed Information Syst …

Paper Group ANR 1064

January 28, 2020

A Note on Bounding Regret of the C$^2$UCB Contextual Combinatorial Bandit. Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes. Distributionally Robust Optimization with Correlated Data from Vector Autoregressive Processes. RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimi …

Paper Group ANR 771

January 28, 2020

Automatic Layout Generation with Applications in Machine Learning Engine Evaluation. OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies. A Neural Network Architecture for Learning Word-Referent Associations in Multiple Contexts. Learning from Multi-User Activity Trails for B2B Ad Targeting. Property Invariant Embe …

Paper Group ANR 949

January 28, 2020

Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network. Prediction Uncertainty Estimation for Hate Speech Classification. Behavior Gated Language Models. It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality. Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and T …

Paper Group ANR 1072

January 27, 2020

Alleviating Label Switching with Optimal Transport. On Estimating Maximum Sum Rate of MIMO Systems with Successive Zero-Forcing Dirty Paper Coding and Per-antenna Power Constraint. Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow. Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations. Weighted P …

Paper Group ANR 1106

January 27, 2020

Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition. Efficient data augmentation using graph imputation neural networks. Multiple Futures Prediction. Best-First Width Search for Multi Agent Privacy-preserving Planning. Deterministic and Bayesian Neural Networks for Low-lat …

Paper Group ANR 1190

January 27, 2020

LED2Net: Deep Illumination-aware Dehazing with Low-light and Detail Enhancement. Deep Scale-spaces: Equivariance Over Scale. Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets. A Distraction Score for Watermarks. Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. Proceedings 7th …

Paper Group ANR 1281

January 27, 2020

Attacker Behaviour Profiling using Stochastic Ensemble of Hidden Markov Models. Effects of data ambiguity and cognitive biases on the interpretability of machine learning models in humanitarian decision making. The Runtime of the Compact Genetic Algorithm on Jump Functions. Learning Variable Ordering Heuristics for Solving Constraint Satisfaction P …

Paper Group ANR 1373

January 26, 2020

On the Difficulty of Warm-Starting Neural Network Training. Design Automation for Efficient Deep Learning Computing. Boosting the rule-out accuracy of deep disease detection using class weight modifiers. Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. Growing axons: greedy learning of neural networks with ap …

Paper Group ANR 1414

January 26, 2020

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. Local Score Dependent Model Explanation for Time Dependent Covariates. Learning Pixel Representations for Generic Segmentation. Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping. Automated 3D recovery from very high r …