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Apr 09, 2018
Robotics

Automated pick-up of suturing needles for robotic surgical assistance

Robot-assisted laparoscopic prostatectomy (RALP) is a treatment for prostate cancer that involves complete or nerve sparing removal prostate tissue t…
May 10, 2018
Logic in Computer Science

In this work we have introduced for the first time the notion of probabilistic reduction strategy for the \lambda-calculus. We have provided an example of such a strategy, and we have shown that it is positive almost-surely normalizing. Then we have…

On Randomised Strategies in the $λ$-Calculus (Long Version)

In this work we introduce randomised reduction strategies, a notion already studied in the context of abstract reduction systems, for the $\lambda$-c…
Oct 13, 2015
Computer Vision

Deep convolutional neural networks for pedestrian detection

Pedestrian detection is a popular research topic due to its paramount importance for a number of applications, especially in the fields of automotive…
Aug 18, 2017
Computer Vision

Mesh-based 3D Textured Urban Mapping

In the era of autonomous driving, urban mapping represents a core step to let vehicles interact with the urban context. Successful mapping algorithms…
May 16, 2018
Computer Vision
Robotics

Predicting the Next Best View for 3D Mesh Refinement

3D reconstruction is a core task in many applications such as robot navigation or sites inspections. Finding the best poses to capture part of the sc…
Jul 25, 2018
Social and Information Networks
Computers and Society

A User Modeling Pipeline for Studying Polarized Political Events in …

This paper presents a user modeling pipeline to analyze discussions and opinions shared on social media regarding polarized political events (e.g., p…
Apr 16, 2019
Computer Vision
Sound
Audio and Speech Processing

In this work, we investigate whether and how it is possible to transfer knowledge from visual data and spatialized sound, namely, acoustic images, in order to improve audio classification from single microphone. To this end, we take advantage of a s…

Audio-Visual Model Distillation Using Acoustic Images

In this paper, we investigate how to learn rich and robust feature representations for audio classification from visual data and acoustic images, a n…
Apr 30, 2013
Machine Learning

Semi-Supervised Information-Maximization Clustering

Semi-supervised clustering aims to introduce prior knowledge in the decision process of a clustering algorithm. In this paper, we propose a novel sem…
Dec 11, 2020
Computer Vision

Spatial Temporal Transformer Network for Skeleton-based Action Reco…

Skeleton-based human action recognition has achieved a great interest in recent years, as skeleton data has been demonstrated to be robust to illumin…
Jul 10, 2019
Robotics
Computer Vision
Machine Learning

Towards Affordance Prediction with Vision via Task Oriented Grasp Q…

While many quality metrics exist to evaluate the quality of a grasp by itself, no clear quantification of the quality of a grasp relatively to the ta…
Feb 05, 2019
Systems and Control

Echo State Networks: analysis, training and predictive control

The goal of this paper is to investigate the theoretical properties, the training algorithm, and the predictive control applications of Echo State Ne…
Dec 17, 2019
Artificial Intelligence
Neural and Evolutionary Computation

Coordination in Adversarial Sequential Team Games via Multi-Agent Dee…

Many real-world applications involve teams of agents that have to coordinate their actions to reach a common goal against potential adversaries. This…
Apr 26, 2017
Information Theory
Emerging Technologies
Applications

Channel Estimation for Diffusive MIMO Molecular Communications

In diffusion-based communication, as for molecular systems, the achievable data rate is very low due to the slow nature of diffusion and the existenc…
Oct 01, 2018
Networking and Internet Architecture

MQTT+: Enhanced Syntax and Broker Functionalities for Data Filtering,…

In the last few years, the Message Queueing Telemetry Transport (MQTT) publish/subscribe protocol emerged as the de facto standard communication prot…
Nov 24, 2015
Computer Science and Game Theory

Ad auctions and cascade model: GSP inefficiency and algorithms

The design of the best economic mechanism for Sponsored Search Auctions (SSAs) is a central task in computational mechanism design/game theory. Two o…
Apr 24, 2018
Artificial Intelligence

An Integrated Framework for AI Assisted Level Design in 2D Platformers

The design of video game levels is a complex and critical task. Levels need to elicit fun and challenge while avoiding frustration at all costs. In t…
Sep 09, 2019
Machine Learning
Artificial Intelligence

Gradient-Aware Model-based Policy Search

Traditional model-based reinforcement learning approaches learn a model of the environment dynamics without explicitly considering how it will be use…
Jun 13, 2014
Artificial Intelligence
Machine Learning

Multi-objective Reinforcement Learning with Continuous Pareto Frontie…

This document contains supplementary material for the paper "Multi-objective Reinforcement Learning with Continuous Pareto Frontier Approximation", p…
Sep 09, 2019
Machine Learning
Artificial Intelligence

Gradient-Aware Model-based Policy Search

Traditional model-based reinforcement learning approaches learn a model of the environment dynamics without explicitly considering how it will be use…
Oct 13, 2020
Information Retrieval
Machine Learning

Artist-driven layering and user's behaviour impact on recommendations…

In this paper we provide an overview of the approach we used as team Creamy Fireflies for the ACM RecSys Challenge 2018. The competition, organized b…
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