33 citations · 118 across the 10 of their papers we have counts for
10 papers
Introducing the structural bases of typicality effects in deep learning
Omar Vidal Pino, Erickson Rangel Nascimento, Mario Fernando Montenegro Campos
In this paper, we hypothesize that the effects of the degree of typicality in natural semantic categories can be generated based on the structure of artificial categories learned w…
A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos
Michel Melo Silva, Washington Luis Souza Ramos, Mario Fernando Montenegro Campos +1
Technological advances in sensors have paved the way for digital cameras to become increasingly ubiquitous, which, in turn, led to the popularity of the self-recording culture. As…
A gaze driven fast-forward method for first-person videos
Alan Carvalho Neves, Michel Melo Silva, Mario Fernando Montenegro Campos +1
The growing data sharing and life-logging cultures are driving an unprecedented increase in the amount of unedited First-Person Videos. In this paper, we address the problem of acc…
Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues
Renato Martins, Dhiego Bersan, Mario F. M. Campos +1
This paper addresses the problem of building augmented metric representations of scenes with semantic information from RGB-D images. We propose a complete framework to create an en…
Global Semantic Description of Objects based on Prototype Theory
Omar Vidal Pino, Erickson Rangel Nascimento, Mario Fernando Montenegro Campos
In this paper, we introduce a novel semantic description approach inspired on Prototype Theory foundations. We propose a Computational Prototype Model (CPM) that encodes and stores…
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos
Michel Melo Silva, Washington Luis Souza Ramos, Joao Klock Ferreira +3
Thanks to the advances in the technology of low-cost digital cameras and the popularity of the self-recording culture, the amount of visual data on the Internet is going to the opp…