Ricardo Sanchez-Matilla — accepted AI-conference papers

2020

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

Ricardo Sanchez-Matilla, Konstantinos I. Chatzilygeroudis, Apostolos Modas, Nuno Ferreira Duarte, Alessio Xompero, Pascal Frossard +2

RA-L 2020

The real-time estimation through vision of the physical properties of objects manipulated by humans is important to inform the control of robots for performing accurate and safe grasps of objects handed over by humans. However, estimating the 3D pose and dimensions of previously unseen objects using

Cited by 43 Source ↗Scholar ↗

2020

ColorFool: Semantic Adversarial Colorization

Ali Shahin Shamsabadi, Ricardo Sanchez-Matilla, Andrea Cavallaro

CVPR 2020poster

Adversarial attacks that generate small Lp norm perturbations to mislead classifiers have limited success in black-box settings and with unseen classifiers. These attacks are also not robust to defenses that use denoising filters and to adversarial training procedures. Instead, adversarial attacks t…

Cited by 152 PDF ↗code ↗Scholar ↗

2020

Multi-View Shape Estimation of Transparent Containers

Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro

ICASSP 2020accepted

The 3D localisation of an object and the estimation of its properties, such as shape and dimensions, are challenging under varying degrees of transparency and lighting conditions. In this paper, we propose a method for jointly localising container-like objects and estimating their dimensions using t…

Cited by 0 Source ↗Scholar ↗

2019

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

Lin Wang, Ricardo Sanchez-Matilla, Andrea Cavallaro

IROS 2019poster

We present an audio-visual dataset recorded outdoors from a quadcopter and discuss baseline results for multiple applications. The dataset includes a scenario for source localization and sound enhancement with up to two static sources, and a scenario for source localization and tracking with a movin…

Cited by 30 Source ↗Scholar ↗

2019

Scene Privacy Protection

Chau Yi Li, Ali Shahin Shamsabadi, Ricardo Sanchez-Matilla, Riccardo Mazzon, Andrea Cavallaro

ICASSP 2019accepted

Images shared on social media are routinely analysed by classifiers for content annotation and user profiling. These automatic inferences reveal to the service provider sensitive information that a naive user might want to keep private. To address this problem, we present a method designed to distor…

Cited by 0 Source ↗Scholar ↗

2018

Tracking a moving sound source from a multi-rotor drone

Lin Wang, Ricardo Sanchez-Matilla, Andrea Cavallaro

IROS 2018poster

We propose a method to track from a multi-rotor drone a moving source, such as a human speaker or an emergency whistle, whose sound is mixed with the strong ego-noise generated by rotating motors and propellers. The proposed method is independent of the specific drone and does not need pre-training…

Cited by 24 Source ↗Scholar ↗