Andrea Zunino

Orcid: 0000-0001-8924-7402

According to our database1, Andrea Zunino authored at least 27 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
FollowMe: a Robust Person Following Framework Based on Re-Identification and Gestures.
CoRR, 2023

CARPE-ID: Continuously Adaptable Re-identification for Personalized Robot Assistance.
CoRR, 2023

Artifacts Mapping: Multi-Modal Semantic Mapping for Object Detection and 3D Localization.
Proceedings of the European Conference on Mobile Robots, 2023

FollowMe: a Robust Person Following Framework Based on Visual Re-Identification and Gestures.
Proceedings of the IEEE International Conference on Advanced Robotics and Its Social Impacts, 2023

2022
A Target-Guided Telemanipulation Architecture for Assisted Grasping.
IEEE Robotics Autom. Lett., 2022

On the Importance of Appearance and Interaction Feature Representations for Person Re-identification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Target-Referred DMPs for Learning Bimanual Tasks from Shared-Autonomy Telemanipulation.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Which Expert Knows Best? Modulating Soft Learning with Online Batch Confidence for Domain Adaptive Person Re-Identification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Personality Traits Classification Using Deep Visual Activity-Based Nonverbal Features of Key-Dynamic Images.
IEEE Trans. Affect. Comput., 2021

Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Excitation Dropout: Encouraging Plasticity in Deep Neural Networks.
Int. J. Comput. Vis., 2021

Explainable Deep Classification Models for Domain Generalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach.
Int. J. Comput. Vis., 2020

Compact CNN Structure Learning by Knowledge Distillation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Beyond the Visual Analysis of Deep Model Saliency.
Proceedings of the xxAI - Beyond Explainable AI, 2020

2019
An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions.
Comput. Geosci., 2019

Are CNN Predictions based on Reasonable Evidence?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Guided Zoom: Questioning Network Evidence for Fine-grained Classification.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Audio Tracking in Noisy Environments by Acoustic Map and Spectral Signature.
IEEE Trans. Cybern., 2018

Video Gesture Analysis for Autism Spectrum Disorder Detection.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Excitation Backprop for RNNs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Predicting Human Intentions from Motion Cues Only: A 2D+3D Fusion Approach.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Revisiting Human Action Recognition: Personalization vs. Generalization.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

What Will I Do Next? The Intention from Motion Experiment.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Intention from Motion.
CoRR, 2016

Kernelized covariance for action recognition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Seeing the Sound: A New Multimodal Imaging Device for Computer Vision.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015


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