Ricardo Sanchez-Matilla

According to our database, Ricardo Sanchez-Matilla authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DIPO: Differentiable Parallel Operation Blocks for Surgical Neural Architecture Search.

Matthew Lee, Ricardo Sanchez-Matilla, Danail Stoyanov, Imanol Luengo

IEEE J. Biomed. Health Informatics, September, 2024

A spatio-temporal network for video semantic segmentation in surgical videos.

Maria Grammatikopoulou, Ricardo Sanchez-Matilla, Felix J. S. Bragman, David Owen, Lucy Culshaw, Karen Kerr, Danail Stoyanov, Imanol Luengo

Int. J. Comput. Assist. Radiol. Surg., February, 2024

Guided image generation for improved surgical image segmentation.

Emanuele Colleoni, Ricardo Sanchez-Matilla, Imanol Luengo, Danail Stoyanov

Medical Image Anal., 2024

2023

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.

Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy

Medical Image Anal., May, 2023

2022

Data-centric multi-task surgical phase estimation with sparse scene segmentation.

Ricardo Sanchez-Matilla, Maria Robu, Maria Grammatikopoulou, Imanol Luengo, Danail Stoyanov

Int. J. Comput. Assist. Radiol. Surg., 2022

2021

Benchmark for anonymous video analytics.

Ricardo Sanchez-Matilla, Andrea Cavallaro

EURASIP J. Image Video Process., 2021

Scalable Joint Detection and Segmentation of Surgical Instruments with Weak Supervision.

Ricardo Sanchez-Matilla, Maria Robu, Imanol Luengo, Danail Stoyanov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Improving Filling Level Classification with Adversarial Training.

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

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

On the Reversibility of Adversarial Attacks.

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

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Exploiting Vulnerabilities of Deep Neural Networks for Privacy Protection.

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

IEEE Trans. Multim., 2020

Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective.

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

IEEE Signal Process. Mag., 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, Aude Billard, Andrea Cavallaro

IEEE Robotics Autom. Lett., 2020

Towards robust sensing for Autonomous Vehicles: An adversarial perspective.

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

CoRR, 2020

Multi-View Shape Estimation of Transparent Containers.

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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Motion Prediction for First-Person Vision Multi-object Tracking.

Ricardo Sanchez-Matilla, Andrea Cavallaro

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

ColorFool: Semantic Adversarial Colorization.

Ali Shahin Shamsabadi, Ricardo Sánchez-Matilla, Andrea Cavallaro

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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

Lin Wang, Ricardo Sanchez-Matilla, Andrea Cavallaro

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

A Predictor of Moving Objects for First-Person Vision.

Ricardo Sanchez-Matilla, Andrea Cavallaro

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Scene Privacy Protection.

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

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Tracking a moving sound source from a multi-rotor drone.

Lin Wang, Ricardo Sanchez-Matilla, Andrea Cavallaro

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Confidence Intervals for Tracking Performance Scores.

Ricardo Sanchez-Matilla, Andrea Cavallaro

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Hierarchical detection of persons in groups.

Álvaro García-Martín, Ricardo Sánchez-Matilla, José M. Martínez

Signal Image Video Process., 2017

Multi-Modal Localization and Enhancement of Multiple Sound Sources from a Micro Aerial Vehicle.

Ricardo Sanchez-Matilla, Lin Wang, Andrea Cavallaro

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

Online Multi-target Tracking with Strong and Weak Detections.

Ricardo Sanchez-Matilla, Fabio Poiesi, Andrea Cavallaro

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016