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Achievements

Achievement: Pull SharkAchievement: Starstruck

Achievements

Achievement: Pull SharkAchievement: Starstruck

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guglielmocamporese/readme.md

whoami

Hi there 👋 - I'm Guglielmo Camporese and I'm a highly motivated researcher working in computer vision and deep learning!

homepage linkedin twitter cv

work experience

  • Research Intern · Disney Research Studios · Zurich, Switzerland · 04-07/23
  • Applied Scientist Intern · Amazon Web Services AI Labs · Seattle, Washington · 12/21-09/22
  • Applied Scientist Intern · Amazon Alexa AI · Turin, Italy · 06-09/20
  • Computer Vision and Deep Learning Engineer · Aquifi Inc. · Palo Alto, California · 11/2018-10/2019

education

  • Ph.D. in Brain, Mind and Computer Science, University of Padova, Italy · 09/2019-02/2023
  • M.Sc. in Telecommunications Engineering, University of Padova, Italy · 2016-2019
  • B.Sc. in Information Engineering, University of Padova, Italy · 2012-2016

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  1. relvit relvit Public

    Official code of "Where are my Neighbors? Exploiting Patches Relations in Self-Supervised Vision Transformer", Guglielmo Camporese, Elena Izzo, Lamberto Ballan. BMVC, 2022.

    Python 21 2

  2. cvaecaposr cvaecaposr Public

    Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.

    Python 44 8

  3. hands-segmentation-pytorch hands-segmentation-pytorch Public

    A repo for training and finetuning models for hands segmentation.

    Python 115 11

  4. useful useful Public

    Useful scripts/commands/settings I mostly use for research/work.

    5 2

  5. epic-kitchens-dataset-pytorch epic-kitchens-dataset-pytorch Public

    Simple PyTorch Dataset for the EPIC-Kitchens-55 and EPIC-Kitchens-100 that handles frames and features (rgb, optical flow, and objects) for the Action Recognition and the Action Anticipation Tasks!

    Python 23 2

  6. awesome-action-prediction-list awesome-action-prediction-list Public

    A curated list of papers and resources linked to action anticipation and early action recognition from videos.

    9