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Bio
Main expertise on computer vision and pattern recognition, machine learning, image and signal processing, and neuroimaging (data analysis). His main research focus lies now on deep learning, specifically on domain adaptation and generalization, multi-modal deep learning models, learning with privileged information, zero/one/few-shot learning and imbalance data in general, and disentangling representation models. Related applications involve classification and recognition in general, in supervised and unsupervised scenarios, including (fine-grained) activity recognition.
He has a particular interest in multimodal social signal processing approaches for the analysis of human behavior, with main applications related to surveillance and security, human-human and human-machine interaction, ambient intelligence, and retailing. Also major experience in standard industrial applicative domains such as visual inspection and automation.
He has a particular interest in multimodal social signal processing approaches for the analysis of human behavior, with main applications related to surveillance and security, human-human and human-machine interaction, ambient intelligence, and retailing. Also major experience in standard industrial applicative domains such as visual inspection and automation.
Research Interests
Papers共 468 篇Author StatisticsCo-AuthorSimilar Experts
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IMAGE ANALYSIS AND PROCESSING, ICIAP 2023, PT I (2023): 87-99
CoRRno. 99 (2023): 1-1
Image and Vision Computing (2023)
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
IMAGE ANALYSIS AND PROCESSING, ICIAP 2023, PT II (2023): 393-405
CoRR (2023): 752-753
CVPR Workshopspp.1-9, (2023)
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