Publications

Multi-view shape estimation of transparent containers

Published in Submitted to IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020

This paper proposes a method to estimate the shape and dimensions of unseen objects.

Recommended citation: A. Xompero, R. Sanchez-Matilla, A. Modas, P. Frossard, A. Cavallaro. "Multi-view shape estimation of transparent containers." Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP).

Towards Robust Sensing for Autonomous Vehicles

Published in IEEE Transactions on Signal Processing Magazine (SPM): Special Issue on Autonomous Driving - To Appear, 2019, 2019

This paper surveys the emerging field of sensing in adversarial settings: after reviewing adversarial attacks on sensing modalities for autonomous systems, and discusses existing countermeasures and present future research directions.

Recommended citation: Apostolos Modas*, Ricardo Sanchez-Matilla*, Pascal Frossard, and Andrea Cavallaro. "Benchmark for Human-to-Robot Handovers of Unseen Containers with Unknown Filling." IEEE Transactions on Signal Processing Magazine (SPM): Special Issue on Autonomous Driving.

Benchmark for Human-to-Robot Handovers of Unseen Containers with Unknown Filling

Published in IEEE Transactions on Robotics and Automation Letters (RA-L): Special Issue on Benchmarking Protocols for Robotic Manipulation - To Appear, 2019, 2019

This paper proposes a benchmark for dynamic human-to-robot handovers that do not rely on a motion capture system, markers, or prior knowledge of specific objects.

Recommended citation: Ricardo Sanchez-Matilla, Konstantinos Chatzilygeroudis, Apostolos Modas, Nuno Ferreira Duarte, Alessio Xompero, Pascal Frossard, Aude Billard, and Andrea Cavallaro. "Benchmark for Human-to-Robot Handovers of Unseen Containers with Unknown Filling." IEEE Transactions on Robotics and Automation Letters (RA-L): Special Issue on Benchmarking Protocols for Robotic Manipulation.

Audio-visual sensing from a quadcopter: dataset and baselines for source localization and sound enhancement

Published in Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Macau, China, Nov 4-8, 2019

This paper presents an audio-visual dataset from a quadcopter for enabling evaluation of sound source localizaiton and sound enhancement.

Recommended citation: L. Wang, R. Sanchez-Matilla and A. Cavallaro. "Audio-visual sensing from a quadcopter: dataset and baselines for source localization and sound enhancement." Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS).

A predictor of moving objects for first-person vision

Published in Proc. of IEEE Int. Conf. on Image Processing (ICIP), Taipei, Taiwan, September 22-25, 2019

This paper proposes a method to predict accurately the location of objects of interest from a moving camera. The method allows to forecast 60% more accurately than previously existing predictors. The method is robust to frame rate deductions of up to 66% while maintaining similar accuracy than existing methods.

Recommended citation: R. Sanchez-Matilla and A. Cavallaro. "A predictor of moving objects for first-person vision." Proc. of IEEE Int. Conf. on Image Processing (ICIP).

Scene Privacy Protection

Published in Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 12-17, 2019

This paper proposes a method to protect users sensitive information from undesired automatic inferences by service providers withouth compromising the utility of the information.

Recommended citation: C.Y. Li, A.S. Shamsabadi, R. Sanchez-Matilla, R. Mazzon and A. Cavallaro. "Scene Privacy Protection." Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP).

Confidence Intervals for Tracking Perforamance Scores

Published in Proc. of IEEE Int. Conf. on Image Processing (ICIP), Athens, Greece, October 7-10, 2018

This paper discusses the limitations of existing ground-truth annotations that are commonly annotated via semi-automatic methods, and proposes the use of confidence intervals that can be estimated directly from already-annotated datasets.

Recommended citation: R. Sanchez-Matilla and A. Cavallaro. "Confidence Intervals for Tracking Perforamance Scores." Proc. of IEEE Int. Conf. on Image Processing (ICIP).

Tracking a moving sound source from a multi-rotor drone

Published in Proc. of IEEE/RSJ Int. Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October, 1- 5, 2018

This paper proposes to track a moving sound soure from a multi-rotor drone only using sound sensing.

Recommended citation: L. Wang, R. Sanchez-Matilla and A. Cavallaro. "Tracking a moving sound source from a multi-rotor drone." Proc. of IEEE/RSJ Int. Conference on Intelligent Robots and Systems (IROS).

Multi-modal localization and enhancement of multiple sound sources from a Micro Aerial Vehicle

Published in Proc. of ACM Multimedia, Mountain View, USA, October 23-27, 2017

This paper introduces for first time a multi-modal algorithim to localize and enhance multiple sound sources simultaneously from a Micro Aerial Vehicle.

Recommended citation: R. Sanchez-Matilla, L. Wang and A. Cavallaro. "Multi-modal localization and enhancement of multiple sound sources from a Micro Aerial Vehicle." Proc. of ACM Multimedia.

Hierarchical detection of persons in groups

Published in Signal, Image and Video Processing (SIVP), 2017

This paper proposes a method a person detector that exploits leverages the fact that people commonly appear in groups and they occlude to each other.

Recommended citation: A. García-Martín, R. Sanchez-Matilla and José M. Martínez."Hierarchical detection of persons in groups." Signal, Image and Video Processing (SIVP).

Online multi-target tracking with strong and weak detections

Published in Proc. of 2nd Workshop on Benchmarking Multi-target Tracking: MOTChallenge 2016, Amsterdam, October 9, 2016

This paper proposes a novel use of both high- and low-confidence target detections in a Probability Hypothesis Density Particle Filter framework for online multi-target tracker.

Recommended citation: R. Sanchez-Matilla, F. Poiesi and A. Cavallaro. "Online multi-target tracking with strong and weak detection." Proc. of 2nd Workshop on Benchmarking Multi-target Tracking: MOTChallenge.