As leader

As contributor

Publications

• E.B. Bueno Benito and M. Dimiccoli. 2by2: weakly-supervised learning for global action segmentation, 27th International Conference on Pattern Recognition, 2024, Kolkata, in Pattern Recognition, Vol 15315 of Lecture Notes in Computer Science, pp. 380-395, 2024, Cham.

  Abstract Info PDF

• M. Fatan, E. Mincato, D. Pintzou and M. Dimiccoli. 3M-Transformer: A multi-stage multi-stream multimodal transformer for embodied turn-taking prediction, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, 2024, Seoul, Korea, pp. 8050-8054.

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• E. Thomaz and M. Dimiccoli. Acquisition and analysis of camera sensor data (Lifelogging). In Mobile Sensing in Psychology. Methods and Applications, 277-296. Guilford Publications, 2023.

  Abstract Info

• A. Dhamanaskar, M. Dimiccoli, E. Corona, A. Pumarola and F. Moreno-Noguer. Enhancing egocentric 3D pose estimation with third person views . Pattern Recognition, 138(109358), 2023.

  Abstract Info PDF

• E.B. Bueno Benito, B. Tura and M. Dimiccoli. Leveraging triplet loss for unsupervised action segmentation, 2023 CVPR Workshop on Learning with Limited Labelled Data, 2023, Vancouver, Canadá, pp. 4922-4930, IEEE.

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• F.J. Moreno, V.J. Traver, F. Barranco, M. Dimiccoli and F. Pla. Visual event-based egocentric human action recognition, 2022 Iberian Conference on Pattern Recognition and Image Analysis, 2022, Aveiro, Portugal, Vol 13256 of Lecture Notes in Computer Science, pp. 402-404, 2022.

  Abstract Info PDF

• M. Dimiccoli, S. Patni, M. Hoffmann and F. Moreno-Noguer. Recognizing object surface material from impact sounds for robot manipulation, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022, Kyoto, pp. 9280-9287.

  Abstract Info PDF

• W. Zhang, M. Dimiccoli and B.Y. Lim. Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning , 2022 ACM Conference on Human Factors in Computing Systems, 2022, New Orleans, pp. 1-32, ACM.

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• M. Dimiccoli, H. Wendt and P. Batlle. Learning grounded word meaning representations on similarity graphs, 16th Conference on Empirical Methods in Natural Language Processing, 2021, Punta Cana, Dominican Republic, pp. 4760-4769.

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• M. Dimiccoli, L. Garrido, G. Rodríguez and H. Wendt. Graph constrained data representation learning for human motion segmentation, 2021 International Conference on Computer Vision, 2021, Montreal, Canada, pp. 1440-1449.

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PhD Theses as supervisor

• Unsupervised video representation learning: developments and applications.

  Student:

  Elena Belén Bueno Benito

  Started:

  01/11/2021

  Description Info

Master theses as supervisor

• Leveraging subspace clustering networks for unsupervised action segmentation

  Student:

  Xabier Blázquez González

  Started:

  01/02/2024

  Description Info