Jorge Quesada

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 8

Top Topics

Dictionary Learning

Top Venues

Publications

Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William R. Gray Roncal, Erik C. Johnson, Eva L. Dyer
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. CoRR (2023)
Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William Gray-Roncal, Erik Johnson, Eva L. Dyer
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. NeurIPS (2022)
Gustavo Silva, Jorge Quesada, Paul Rodríguez
Hyper-Parameter Selection on Convolutional Dictionary Learning Through Local ℓ0, ∞ Norm. EUSIPCO (2019)
Jorge Quesada, Paul Rodríguez, Brendt Wohlberg
Separable Dictionary Learning for Convolutional Sparse Coding via Split Updates. ICASSP (2018)
Gustavo Silva, Jorge Quesada, Paul Rodríguez
Efficient separable filter estimation using Rank-1 Convolutional Dictionary Learning. MLSP (2018)
Gabriel Salvador, Juan M. Chau, Jorge Quesada, Cesar Carranza
Efficient GPU-based implementation of the median filter based on a multi-pixel-per-thread framework. SSIAI (2018)
Gustavo Silva, Jorge Quesada, Paul Rodríguez, Brendt Wohlberg
Fast convolutional sparse coding with separable filters. ICASSP (2017)
Jorge Quesada, Paul Rodríguez
Automatic vehicle counting method based on principal component pursuit background modeling. ICIP (2016)