Andrea Zunino

AI & Robotics Research Fellow
  • Profilo
  • Pubblicazioni
  • Conferenze
  • Andrea Zunino è ricercatore in AI e Robotica presso il laboratorio congiunto Leonardo - Istituto Italiano di Tecnologia (IIT). Andrea collabora con i laboratori Human-Robot Interfaces and Physical Interaction (HRI²) e Humanoids & Human Centered Mechatronics (HHCM) dell'Istituto Italiano di Tecnologia (IIT). Andrea ha conseguito la Laurea Triennale in 'Ingegneria delle Telecomunicazioni', la Laurea Magistrale in 'Multimedia Signal Processing and Telecommunication Networks' presso l'Università degli Studi di Genova (Italia) rispettivamente nel 2011 e nel 2014. Andrea ha conseguito il dottorato di ricerca in 'Pattern Analysis and Computer Vision' presso IIT, dipartimento di Pattern Analysis & Computer Vision (PAVIS), dal 2014 al 2017. Andrea ha continuato come ricercatore PostDoc nel dipartimento PAVIS, dal 2017 al 2019. Successivamente, Andrea ha lavorato come Ricercatore di Video Intelligence in Huawei Ireland Research Centre, Dublino dal 2019 al 2021, dove ha lavorato in applicazioni di intelligenza artificiale relative al riconoscimento facciale, alla re-identificazione di persone e alla comprensione automatica del loro comportamento. Ora Andrea lavora con i Leonardo Labs di Genova dove ricopre il ruolo di Perception Researcher nel team di AI e Robotica. Il suo interesse di ricerca si concentra su Machine Learning, Computer Vision, Deep Learning, Domain Adaptation e Explainable AI.

  • Andrea Zunino*, Sarah Adel Bargal*, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff - Guided Zoom: Zooming into Network Evidence to Refine Fine-grained Model Decisions. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2021.

    Andrea Zunino*, Sarah Adel Bargal*, Pietro Morerio, Jianming Zhang, Stan Sclaroff and Vittorio Murino - Excitation Dropout: Encouraging Plasticity in Deep Neural Networks. International Journal of Computer Vision (IJCV), 2021.

    Cigdem Beyan, Andrea Zunino, Muhammad Shahid and Vittorio Murino - Personality Traits Classification Using Deep Visual Activity-based Nonverbal Features of Key-Dynamic Images. IEEE Transactions on Affective Computing, 2019.

    Andrea Zunino*, Jacopo Cavazza*, Riccardo Volpi, Pietro Morerio, Andrea Cavallo, Cristina Becchio and Vittorio Murino - Predicting Intentions from Motion: the Subject-Adversarial Adaptation Approach. International Journal of Computer Vision (IJCV), 2019.

    Marco Crocco, Samuele Martelli, Andrea Trucco, Andrea Zunino and Vittorio Murino - Audio Tracking in Noisy Environments by Acoustic Map and Spectral Signature. IEEE Transactions on Cybernetics, 2017.

  • Andrea Zunino*, Sarah Adel Bargal*, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko - Explainable Deep Classification Models for Domain Generalization. IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRw): Fair, Data Efficient and Trusted Computer Vision, 2021. 

    Waqar Ahmed, Andrea Zunino, Pietro Morerio, Vittorio Murino - Compact CNN Structure Learning by Knowledge Distillation. International Conference on Pattern Recognition (ICPR), 2020.

    Andrea Zunino*, Sarah Adel Bargal*, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino and Stan Sclaroff - Guided Zoom: Questioning Network Evidence for Fine-grained Classification. British Machine Vision Conference (BMVC), 2019. (oral)

    Andrea Zunino*, Sarah Adel Bargal*, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino and Stan Sclaroff - Are CNN Predictions based on Reasonable Evidence? IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRw): Explainable AI, 2019. 

    Andrea Zunino, Pietro Morerio, Andrea Cavallo, Caterina Ansuini, Jessica Podda, Francesca Battaglia, Edvige Veneselli, Cristina Becchio and Vittorio Murino - Video Gesture Analysis for Autism Spectrum Disorder Detection. International Conference on Pattern Recognition (ICPR), 2018.

    Andrea Zunino*, Sarah Adel Bargal*, Donghyun Kim, Jianming Zhang, Vittorio Murino and Stan Sclaroff - Excitation Backprop for RNNs. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

    Andrea Zunino, Jacopo Cavazza, Atesh Koul, Andrea Cavallo, Cristina Becchio and Vittorio Murino - Predicting Human Intentions from Motion Cues Only: A 2D+3D Fusion Approach. ACM on Multimedia, 2017.

    Andrea Zunino, Jacopo Cavazza, Atesh Koul, Andrea Cavallo, Cristina Becchio and Vittorio Murino - What Will I Do Next? The Intention from Motion Experiment. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRw), 2017.

    Andrea Zunino, Jacopo Cavazza, and Vittorio Murino - Revisiting Human Action Recognition: Personalization vs. Generalization. International Conference on Image Analysis and Processing (ICIAP), 2017.

    Jacopo Cavazza, Andrea Zunino, Marco San Biagio, and Vittorio Murino - Kernelized covariance for action recognition. International Conference on Pattern Recognition (ICPR), 2016.

    Andrea Zunino, Marco Crocco, Samuele Martelli, Andrea Trucco, Alessio Del Bue and Vittorio Murino - Seeing the Sound: A New Multimodal Imaging Device for Computer Vision. IEEE International Conference on Computer Vision Workshop (ICCVw), 2015.