1 code implementation • 10 Oct 2023 • Masih Aminbeidokhti, Fidel A. Guerrero Peña, Heitor Rapela Medeiros, Thomas Dubail, Eric Granger, Marco Pedersoli
However, this holds for standard in-domain settings, in which the training and test data follow the same distribution.
1 code implementation • CVPR 2023 • Fidel A. Guerrero Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
The recent emergence of new algorithms for permuting models into functionally equivalent regions of the solution space has shed some light on the complexity of error surfaces, and some promising properties like mode connectivity.
no code implementations • 18 Jan 2020 • Pedro D. Marrero Fernandez, Tsang Ing Ren, Tsang Ing Jyh, Fidel A. Guerrero Peña, Alexandre Cunha
We propose a deep metric learning model to create embedded sub-spaces with a well defined structure.
no code implementations • 22 Oct 2019 • Fidel A. Guerrero Peña, Pedro D. Marrero Fernandez, Paul T. Tarr, Tsang Ing Ren, Elliot M. Meyerowitz, Alexandre Cunha
We propose a new loss formulation to further advance the multiclass segmentation of cluttered cells under weakly supervised conditions.
1 code implementation • 8 Feb 2019 • Pedro D. Marrero Fernandez, Fidel A. Guerrero Peña, Tsang Ing Ren, Alexandre Cunha
We present a new end-to-end network architecture for facial expression recognition with an attention model.
2 code implementations • 29 Oct 2018 • Fidel A. Guerrero Peña, Pedro D. Marrero Fernández, Tsang Ing Ren, Jorge J. G. Leandro, Ricardo Nishihara
The primary motivation is that current bursts deblurring methods do not handle well situations in which misalignment or out-of-context frames are present in the burst.