Publications

Book chapters Journals Conferences Workshops Pre-prints Thesis

Book chapters

CHAPTER22 Chapter 15 - Visual adversarial attacks and defenses
C. Oh, A. Xompero, A. Cavallaro
In Advanced Methods And Deep Learning In Computer Vision,
Editors: E. R. Davies, Matthew Turk, 1st Edition, Elsevier, pages 511-543, November 2021.

[abstract] [chapter] [bibtex] [webpage]

Journals


The CORSMAL benchmark for the prediction of the properties of containers
A. Xompero, S. Donaher, V. Iashin, F. Palermo, G. Solak, C. Coppola, R. Ishikawa, Y. Nagao, R. Hachiuma, Q. Liu, F. Feng, C. Lan, R. H. M. Chan, G. Christmann, J. Song, G. Neeharika, C. K. T. Reddy, D. Jain, B. U. Rehman, A. Cavallaro
IEEE Access, Early Access, vol. 10, 2022.

[abstract] [paper] [arxiv] [bibtex]
TIP2020 A spatio-temporal multi-scale binary descriptor
A. Xompero, O. Lanz, and A. Cavallaro
IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 4362-4375, Dec. 2020.

[abstract] [pdf] [pre-print] [bibtex]
RAL2020 Benchmark for Human-to-Robot Handovers of Unseen Containers with Unknown Filling
R. Sanchez-Matilla, K. Chatzilygeroudis, A. Modas, N. Ferreira Duarte, A. Xompero, P. Frossard, A. Billard, and A. Cavallaro
IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 1642-1649, Apr. 2020

[abstract] [pdf] [webpage] [bibtex] [code] [video]
CVIU2016 An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes
S. Ba, X. Alameda-Pineda, A. Xompero, and R. Horaud
Computer Vision and Image Understanding, 2016

[abstract] [pre-print] [bibtex] [video]

Conferences



Audio-Visual Object Classification for Human-Robot Collaboration
A. Xompero, Y. L. Pang, T. Patten, A. Prabhakar, B. Calli, A. Cavallaro
IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Singapore and Virtual, 22-27 May 2022.

[abstract] [paper] [arxiv] [challenge webpage] [bibtex]
ROMAN21 Towards safe human-to-robot handovers of unknown containers
Y. L. Pang, A. Xompero, C. Oh, and A. Cavallaro
IEEE International Conference on Robot and Human Interactive Communication (RO-MAN),
Virtual, 8-12 Aug 2021.

[abstract] [paper] [arxiv] [webpage] [bibtex]
ICIP21 Improving filling level classification with adversarial training
A. Modas, A. Xompero, R. Sanchez-Matilla, P. Frossard, and A. Cavallaro
IEEE International Conference on Image Processing (ICIP),
Anchorage, Alaska, USA, 19-22 Sep 2021.

[abstract] [paper] [arxiv] [webpage] [bibtex] [data] [models]
EUSIPCO21 Audio classification of the content of food containers and drinking glasses
S. Donaher, A. Xompero, and A. Cavallaro
European Signal Processing Conference (EUSIPCO),
Dublin, Ireland, 23-27 August 2021.

[abstract] [paper] [arxiv] [webpage] [bibtex] [code] [data] [data2] [models]
ICASSP2020 Multi-view shape estimation of transparent containers
A. Xompero, R. Sanchez-Matilla, A. Modas, P. Frossard, and A. Cavallaro
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Barcelona, Spain, 4-8 May 2020

[abstract] [paper] [arxiv] [webpage] [bibtex] [data] [code] [video]
ICASSP19 Accurate target annotation in 3D from multimodal streams
O. Lanz, A. Brutti, A. Xompero, X. Qian, M. Omologo, and A. Cavallaro
International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Brighton (UK), May, 12-17, 2019

[abstract] [pdf] [bibtex] [CAV3D]
ICIP2018 MORB: a multi-scale binary descriptor
A. Xompero, O. Lanz, and A. Cavallaro
IEEE International Conference on Image Processing, Athens (Greece), October, 7-10, 2018

[abstract] [pdf] [bibtex] [poster]
ICIP2018 Multi-camera Matching of Spatio-Temporal Binary Features
A. Xompero, O. Lanz, and A. Cavallaro
International Conference on Information Fusion, Cambridge (United Kingdom), July, 10-13, 2018

[abstract] [pdf] [bibtex] [slides]
ICASSP2017 3D Mouth Tracking from a Compact Microphone Array Co-located with a Camera
X. Qian, A. Xompero, A. Brutti, O. Lanz, M. Omologo, and A. Cavallaro
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary (Canada), April, 15-20, 2018

[abstract] [pdf] [bibtex]


Workshops

Peer-reviewed workshop papers published in the corresponding conference workshop proceedings.


Segmenting Object Affordances: Reproducibility and Sensitivity to Scale
T. Apicella, A. Xompero, P. Gastaldo, A. Cavallaro
International Workshop on Assistive Computer Vision and Robotics (ACVR) at European Conference on Computer Vision (ECCV), 2024.

[abstract] [arxiv] [bibtex] [webpage] [code]

Explaining models relating objects and privacy
A. Xompero, M. Bontonou, J. Arbona, E. Benetos, A. Cavallaro
The 3rd Explainable AI for Computer Vision (XAI4CV) Workshop at the IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[abstract] [paper] [supp] [arxiv] [bibtex] [open access] [poster] [video] [code] [webpage] [XAI4CV]

Affordance segmentation of hand-occluded containers from exocentric images
T. Apicella, A. Xompero, E. Ragusa, R. Berta, A. Cavallaro, P. Gastaldo
International Workshop on Assistive Computer Vision and Robotics (ACVR) at International Conference on Computer Vision (ICCV), 2023.

[abstract] [paper] [arxiv] [bibtex] [webpage] [CHOC-AFF data] [code] [trained model]

Cross-Camera View-Overlap Recognition
A. Xompero, A. Cavallaro
International Workshop on Smart Distributed Cameras (IWDSC) at European Conference on Computer Vision (ECCV), 2022.

[abstract] [arxiv] [bibtex] [webpage] [data] [code] [video]

Pre-prints


A Mixed-Reality Dataset for Category-level 6D Pose and Size Estimation of Hand-occluded Containers
X. Weber, A. Xompero, A. Cavallaro
[abstract] [arxiv] [bibtex] [webpage] [data]

Thesis

PhD

PhDThesis Local features for view matching across independently moving cameras

Primary Supervisor: Prof. Andrea Cavallaro (Queen Mary University of London, United Kingdom)
Second Supervisor Dr. Oswald Lanz (Fondazione Bruno Kessler, Italy)

Examiners: Dr. Stefan Leutenegger (Imperial College London, United Kingdom), Dr. Jean-Yves Guillemaut (University of Surrey, United Kingdom)

[abstract] [pdf]

Master

Master Thesis ViProT: A visual probabilistic model for moving interest points clusters tracking

Thesis Advisors: N. Conci (UNITN), R. Horaud (INRIA Rhône-Alpes)
Co-advisors: X. Alameda-Pineda, S. Ba (INRIA Rhône-Alpes)

[pdf]