Mariella Dimiccoli

Postdoc (Ramón y Cajal)


Subline:

Perception and Manipulation


E-mail mdimiccoli (at) iri.upc.edu

Phone 93 4015786

Web https://www.iri.upc.edu/people/mdimiccoli/

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Publications

  • S. Felicioni and M. Dimiccoli. Interaction-GCN: a Graph Convolutional Network based framework for social interaction recognition in egocentric videos, 2021 IEEE International Conference on Image Processing, 2021, Anchorage (Alaska, USA), pp. 2348-2352.

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  • B. Nicolás, X. Wu, M. Dimiccoli, J. Sierpowska, C. Saiz-Masvidal, C. Soriano-Mas, P. Radeva and L. Fuentemilla. Behavioural and neurophysiological signatures in the retrieval of individual memories of recent and remote real-life routine episodic events. Cortex, 141: 128-143, 2021.

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  • A. Cartas, E. Talavera, P. Radeva and M. Dimiccoli. Understanding event boundaries for egocentric activity recognition from photo-streams, 2021 ICPR International Workshops and Challenges, 2021, Milan, Italy (Virtual), in Pattern Recognition. ICPR International Workshops and Challenges. Proceedings, Part III, Vol 12663 of Lecture Notes in Computer Science, pp. 334-347, 2021, Springer International Publishing.

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  • A. Cartas, P. Radeva and M. Dimiccoli. Modeling long-term interactions to enhance action recognition, 25th International Conference on Pattern Recognition, 2021, Milan, Italy (Virtual), pp. 10351-10358.

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  • M. Dimiccoli and H. Wendt. Learning event representations for temporal segmentation of image sequences by dynamic graph embedding. IEEE Transactions on Image Processing, 30: 1476-1486, 2020.

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  • A. Cartas, P. Radeva and M. Dimiccoli. Activities of daily living monitoring via a wearable camera: toward real-world applications. IEEE Access, 8: 77344-77363, 2020.

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  • A. Cartas, J. Luque, P. Radeva, C. Segura and M. Dimiccoli. Seeing and hearing egocentric actions: How much can we learn?, 2019 ICCV Workshop on Egocentric Perception, Interaction and Computing, 2019, Seoul, South Corea, pp. 4470-4480.

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  • E. Sanchez, P. Radeva and M. Dimiccoli. Social relation recognition in photostreams, 26th IEEE International Conference on Image Processing, 2019, Taipei, Taiwan, pp. 3227-3231.

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  • M. Dimiccoli and H. Wendt. Enhancing temporal segmentation by nonlocal self-similarity, 26th IEEE International Conference on Image Processing, 2019, Taipei, Taiwan, pp. 3681-3685.

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  • S. Lönn, P. Radeva and M. Dimiccoli. Smartphone picture organization: A hierarchical approach. Computer Vision and Image Understanding, 187: 102789:1-13, 2019.

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Master theses as supervisor