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Erickson R. Nascimento, Ph.D

Affiliations: 
2012- Computer Science Department Universidade Federal de Minas Gerais (UFMG) 
Area:
Computer Vision
Website:
www.dcc.ufmg.br/~erickson
Google:
"https://scholar.google.com/citations?user=GTWCJkQAAAAJ&hl=en&oi=ao"
Bio:

Erickson Rangel do Nasciment is an Associate Professor in the Department of Computer Science at Federal University of Minas Gerais (UFMG), Brazil. I received my B.S., M.S. and PhD degrees in Computer Science from the Federal University of Minas Gerais, in 2005, 2008 and 2012 respectively. He was also a visiting researcher at the Berkeley Artificial Intelligence Research (BAIR) of the University of California Berkeley from 07/2017 to 12/2018. His research interests include Computer Vision, Pattern Recognition, and Graphics. I am working on low level description for images and geometrical data, three-dimensional reconstruction and modeling, participating media, indoor scene recognition, and hyperlapse for egocentric videos.

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Mario F. M. Campos grad student 2008-2012 Universidade Federal de Minas Gerais (UFMG)

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Vidal Pino O, Nascimento ER, Campos MF. (2021) Introducing the structural bases of typicality effects in deep learning Image and Vision Computing. 113: 104249
Silva M, Ramos W, Campos M, et al. (2020) A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos. Ieee Transactions On Pattern Analysis and Machine Intelligence
Nascimento ER, Bajcsy R, Gregor M, et al. (2020) On the Development of an Acoustic-Driven Method to Improve Driver's Comfort Based on Deep Reinforcement Learning Ieee Transactions On Intelligent Transportation Systems. 1-10
Mesquita DB, Santos RFd, Macharet DG, et al. (2020) Fully Convolutional Siamese Autoencoder for Change Detection in UAV Aerial Images Ieee Geoscience and Remote Sensing Letters. 17: 1455-1459
Barros W, Nascimento ER, Barbosa WV, et al. (2018) Single-shot underwater image restoration: A visual quality-aware method based on light propagation model Journal of Visual Communication and Image Representation. 55: 363-373
Silva MM, Ramos WL, Chamone FC, et al. (2018) Making a long story short: A multi-importance fast-forwarding egocentric videos with the emphasis on relevant objects Journal of Visual Communication and Image Representation. 53: 55-64
Vasconcelos LO, Nascimento ER, Campos MF. (2017) KVD: Scale invariant keypoints by combining visual and depth data Pattern Recognition Letters. 86: 83-89
Potje G, Resende G, Campos M, et al. (2017) Towards an efficient 3D model estimation methodology for aerial and ground images Machine Vision and Applications. 28: 937-952
Drews PL, Nascimento ER, Botelho SS, et al. (2016) Underwater Depth Estimation and Image Restoration Based on Single Images. Ieee Computer Graphics and Applications. 36: 24-35
Rodrigues MTAN, Balbino de Mesquita D, Nascimento ER, et al. (2016) Change detection based on features invariant to monotonic transforms and spatially constrained matching Journal of Electronic Imaging. 25: 013001
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