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Differential Privacy at Risk: Bridging Randomness and Privacy Budget
The calibration of noise for a privacy-preserving mechanism depends on t...
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Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images
Traffic sign identification using camera images from vehicles plays a cr...
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NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Research on depth-based human activity analysis achieved outstanding per...
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Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors
In recent years, considerable progress has been made for the task of rig...
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Unsupervised Learning for Robust Fitting:A Reinforcement Learning Approach
Robust model fitting is a core algorithm in a large number of computer v...
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ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots
We investigate the problem of predicting driver behavior in parking lots...
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Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation
We propose a model-based machine-learning approach for polarization-mult...
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An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles
Energy-efficient navigation constitutes an important challenge in electr...
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LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks
In this work, a deep learning approach has been developed to carry out r...
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Skeleton-Based Online Action Prediction Using Scale Selection Network
Action prediction is to recognize the class label of an ongoing activity...
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Learning End-to-End Codes for the BPSK-constrained Gaussian Wiretap Channel
Finite-length codes are learned for the Gaussian wiretap channel in an e...
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Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities
Visual-Inertial Odometry (VIO) algorithms typically rely on a point clou...
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Lidar-Camera Co-Training for Semi-Supervised Road Detection
Recent advances in the field of machine learning and computer vision hav...
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Feature Boosting Network For 3D Pose Estimation
In this paper, a feature boosting network is proposed for estimating 3D ...
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Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control
In this paper, we propose a decision making algorithm intended for autom...
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Lifted Regression/Reconstruction Networks
In this work we propose lifted regression/reconstruction networks (LRRNs...
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Reference Pose Generation for Visual Localization via Learned Features and View Synthesis
Visual Localization is one of the key enabling technologies for autonomo...
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Nonlinear Interference Mitigation via Deep Neural Networks
A neural-network-based approach is presented to efficiently implement di...
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Paving the Roadway for Safety of Automated Vehicles: An Empirical Study on Testing Challenges
The technology in the area of automated vehicles is gaining speed and pr...
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Thompson Sampling For Stochastic Bandits with Graph Feedback
We present a novel extension of Thompson Sampling for stochastic sequent...
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Achieving Privacy in the Adversarial Multi-Armed Bandit
In this paper, we improve the previously best known regret bound to achi...
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Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence
Acquiring your first language is an incredible feat and not easily dupli...
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Word Sense Disambiguation using a Bidirectional LSTM
In this paper we present a clean, yet effective, model for word sense di...
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LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks
In this work, a novel learning-based approach has been developed to gene...
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Poisson multi-Bernoulli mixture filter: direct derivation and implementation
We provide a derivation of the Poisson multi-Bernoulli mixture (PMBM) fi...
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Fast LIDAR-based Road Detection Using Fully Convolutional Neural Networks
In this work, a deep learning approach has been developed to carry out r...
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Algorithms for Differentially Private Multi-Armed Bandits
We present differentially private algorithms for the stochastic Multi-Ar...
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On the relation between Gaussian process quadratures and sigma-point methods
This article is concerned with Gaussian process quadratures, which are n...
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Multiple target tracking based on sets of trajectories
This paper proposes the set of target trajectories as the state variable...
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Trajectory probability hypothesis density filter
This paper presents the probability hypothesis density (PHD) filter for ...
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Generalised Entropy MDPs and Minimax Regret
Bayesian methods suffer from the problem of how to specify prior beliefs...
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Extended Object Tracking: Introduction, Overview and Applications
This article provides an elaborate overview of current research in exten...
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Generalized optimal sub-pattern assignment metric
This paper presents the generalized optimal sub-pattern assignment (GOSP...
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Multiresolution Search of the Rigid Motion Space for Intensity Based Registration
We study the relation between the target functions of low-resolution and...
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Performance Evaluation of Random Set Based Pedestrian Tracking Algorithms
The paper evaluates the error performance of three random finite set bas...
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Query-Based Abstractive Summarization Using Neural Networks
In this paper, we present a model for generating summaries of text docum...
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Behavioral software engineering - guidelines for qualitative studies
Researchers are increasingly recognizing the importance of human aspects...
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Practically-Self-Stabilizing Vector Clocks in the Absence of Execution Fairness
Vector clock algorithms are basic wait-free building blocks that facilit...
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Anscombe's Model for Sequential Clinical Trials Revisited
In Anscombe's classical model, the objective is to find the optimal sequ...
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A Supervisory Control Algorithm Based on Property-Directed Reachability
We present an algorithm for synthesising a controller (supervisor) for a...
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Block-Diagonal and LT Codes for Distributed Computing With Straggling Servers
We propose two coded schemes for the distributed computing problem of mu...
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Lisco: A Continuous Approach in LiDAR Point-cloud Clustering
The light detection and ranging (LiDAR) technology allows to sense surro...
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Searching for test data with feature diversity
There is an implicit assumption in software testing that more diverse an...
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1-bit Massive MU-MIMO Precoding in VLSI
Massive multiuser (MU) multiple-input multiple-output (MIMO) will be a c...
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A Novel Approach for Ellipsoidal Outer-Approximation of the Intersection Region of Ellipses in the Plane
In this paper, a novel technique for tight outer-approximation of the in...
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Predicting and Evaluating Software Model Growth in the Automotive Industry
The size of a software artifact influences the software quality and impa...
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Weak convergence of Galerkin approximations for fractional elliptic stochastic PDEs with spatial white noise
The numerical approximation of the solution u to a stochastic partial di...
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Model Checking Social Network Models
A social network service is a platform to build social relations among p...
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Bridging Static and Dynamic Program Analysis using Fuzzy Logic
Static program analysis is used to summarize properties over all dynamic...
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A Verified Certificate Checker for Floating-Point Error Bounds
Being able to soundly estimate roundoff errors in floating-point computa...
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