Erickson R. Nascimento


Department of Computer Science at Federal University of Minas Gerais (UFMG), Brazil
Member of the Computer Vision and Robotics (VeRLab) research group

Supported by a CNPq research fellowship
CV Lattes (in Portuguese)

[NEW] Paper accepted to Computer & Graphics - Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio - Visit the project page for more information!

[NEW] Paper accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) - A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos - Visit the project page for more information!

[NEW] Paper accepted to CVPR 2020 - Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data - Visit the project page for more information!

[NEW] Paper accepted to CVPR 2020 EPIC Workshop - A gaze driven fast-forward method for first-person videos - Visit the project page for more information!

[NEW] Two papers accepted to WACV 2020:


[NEW] Paper accepted to ICCV 2019 - GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D images: Visit the project page for more information!

Paper accepted to WACV 2019 - Prototypicality effects in global semantic description of objects: Visit the project page for more information!

Paper accepted to CVPR 2018 - A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos: Visit the project page for more information!

Paper accepted to CVPR 2018 Sight and Sound Workshop - Fast forwarding Egocentric Videos by Listening and Watching: Visit the project page for more information!

Guest Editor of the Special Issue on Feature representations for medical images and activity understanding - Journal of Visual Communication and Image Representationa (JVCI)

Publication chair of ICAR 2019, Program Co-chair of SIBGRAPI 2017

Member of the program committee for:


Research areas

  • Egocentric videos
  • Multimodal learning
  • Nonrigid descriptors
  • Participating Media
  • 3D Reconstruction and Modeling
  • Image and Geometrical Descriptors

How to find me

  • erickson [at] dcc [dot] ufmg [dot] br
  • Room 6318, DCC - ICEx - UFMG
  • Phone (+55 31) 3409-7597
VeRLab Department of Computer Science Federal University of Minas Gerais