
Explaining Autonomous Driving by Learning EndtoEnd Visual Attention
Current deep learning based autonomous driving approaches yield impressi...
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PixelVAE++: Improved PixelVAE with Discrete Prior
Constructing powerful generative models for natural images is a challeng...
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Differentiation of Blackbox Combinatorial Solvers
Achieving fusion of deep learning with combinatorial algorithms promises...
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Optimizing Rankbased Metrics with Blackbox Differentiation
Rankbased metrics are some of the most widely used criteria for perform...
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Can Domain Knowledge Alleviate Adversarial Attacks in MultiLabel Classifiers?
Adversarial attacks on machine learningbased classifiers, along with de...
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Image Retrieval using Multiscale CNN Features Pooling
In this paper, we address the problem of image retrieval by learning ima...
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Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories
In this paper, we propose a new approach for facial expression recogniti...
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Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets
In this work, we propose a novel approach for generating videos of the s...
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Local Propagation in Constraintbased Neural Network
In this paper we study a constraintbased representation of neural netwo...
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Visual Question Answering for Cultural Heritage
Technology and the fruition of cultural heritage are becoming increasing...
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MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
Autonomous vehicles are expected to drive in complex scenarios with seve...
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MumfordShah functionals on graphs and their asymptotics
We consider adaptations of the MumfordShah functional to graphs. These ...
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Additional Baseline Metrics for the paper "Extended YouTube Faces: a Dataset for Heterogeneous OpenSet Face Identification"
In this report, we provide additional and corrected results for the pape...
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On the Role of Time in Learning
By and large the process of learning concepts that are embedded in time ...
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On the relation between Loss Functions and TNorms
Deep learning has been shown to achieve impressive results in several do...
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Learning and TNorms Theory
Deep learning has been shown to achieve impressive results in several do...
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Domainadaptive deep network compression
Deep Neural Networks trained on large datasets can be easily transferred...
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Review on Computer Vision Techniques in Emergency Situation
In emergency situations, actions that save lives and limit the impact of...
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Unsupervised Incremental Learning of Deep Descriptors From Video Streams
We present a novel unsupervised method for face identity learning from v...
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RankIQA: Learning from Rankings for Noreference Image Quality Assessment
We propose a noreference image quality assessment (NRIQA) approach tha...
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Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow
This report provides an introduction to some Machine Learning tools with...
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Bandwidth limited object recognition in high resolution imagery
This paper proposes a novel method to optimize bandwidth usage for objec...
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Visual Script and Language Identification
In this paper we introduce a script identification method based on hand...
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kLog: A Language for Logical and Relational Learning with Kernels
We introduce kLog, a novel approach to statistical relational learning. ...
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Decisional Processes with Boolean Neural Network: the Emergence of Mental Schemes
Human decisional processes result from the employment of selected quanti...
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Training Support Vector Machines Using FrankWolfe Optimization Methods
Training a Support Vector Machine (SVM) requires the solution of a quadr...
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A DataDriven Approach for Tag Refinement and Localization in Web Videos
Tagging of visual content is becoming more and more widespread as webba...
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Parameterizations and fitting of bidirected graph models to categorical data
We discuss two parameterizations of models for marginal independencies f...
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Word problems in Elliott monoids
Algorithmic issues concerning Elliott local semigroups are seldom consid...
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Algebra, coalgebra, and minimization in polynomial differential equations
We consider reasoning and minimization in systems of polynomial ordinary...
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A Hybrid Approach to Video Source Identification
Multimedia Forensics allows to determine whether videos or images have b...
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FixaTons: A collection of Human Fixations Datasets and Metrics for Scanpath Similarity
In the last three decades, human visual attention has been a topic of gr...
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Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
In this paper we propose an approach to avoiding catastrophic forgetting...
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A nonhomogeneous hidden Markov model for partially observed longitudinal responses
Dropout represents a typical issue to be addressed when dealing with lon...
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Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres
We describe a system based on deep learning that generates drum patterns...
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FarHO: A Bilevel Programming Package for Hyperparameter Optimization and MetaLearning
In (Franceschi et al., 2018) we proposed a unified mathematical framewor...
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Generalization in quasiperiodic environments
By and large the behavior of stochastic gradient is regarded as a challe...
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Trees in the Real Field
This paper proposes an algebraic view of trees which opens the doors to ...
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Modeling Taxi Drivers' Behaviour for the Next Destination Prediction
Taxi destination prediction is a very important task for optimizing the ...
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Enumerative Results on the Schröder Pattern Poset
The set of Schröder words (Schröder language) is endowed with a natural ...
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Estimating Causal Effects Under Interference Using Bayesian Generalized Propensity Scores
In most realworld systems units are interconnected and can be represent...
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ABECities: An AttributeBased Encryption System for Smart Cities
In the near future, a technological revolution will involve our cities, ...
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Permutation patterns in genome rearrangement problems
In the context of the genome rearrangement problem, we analyze two well ...
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SoftPHOC Descriptor for EndtoEnd Word Spotting in Egocentric Scene Images
Word spotting in natural scene images has many applications in scene und...
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Quantum Internet: Networking Challenges in Distributed Quantum Computing
By networking multiple quantum devices, the Quantum Internet builds up a...
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Coherence Constraints in Facial Expression Recognition
Recognizing facial expressions from static images or video sequences is ...
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Learning and Interpreting MultiMultiInstance Learning Networks
We introduce an extension of the multiinstance learning problem where e...
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Deterministic and stochastic inexact regularization algorithms for nonconvex ptimization with optimal complexity
A regularization algorithm using inexact function values and inexact der...
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Deterministic and stochastic inexact regularization algorithms for nonconvex optimization with optimal complexity
A regularization algorithm using inexact function values and inexact der...
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A Core Ontology for Privacy Requirements Engineering
Nowadays, most companies need to collect, store, and manage personal inf...
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