Jorge Quesada

15 papers A* 1B 2Misc 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Scale-Aware Self-Supervised Learning for Segmentation of Small and Sparse Structures.
CoRR
Jorge Quesada, Ghassan AlRegib
2025 J jnl
A Large-Scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation, and Inferential Behavior.
IEEE Access
Jorge Quesada, Chen Zhou, Prithwijit Chowdhury, Mohammad Alotaibi, Ahmad Mustafa, Yusufjon Kumakov, Mohit Prabhushankar, Ghassan AlRegib
2025 J jnl
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior.
CoRR
Jorge Quesada, Chen Zhou, Prithwijit Chowdhury, Mohammad Alotaibi, Ahmad Mustafa, Yusufjon Kumakov, Mohit Prabhushankar, Ghassan AlRegib
2024 B conf
Benchmarking Human and Automated Prompting in the Segment Anything Model.
IEEE Big Data
Jorge Quesada, Zoe Fowler, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib
2024 J jnl
Benchmarking Human and Automated Prompting in the Segment Anything Model.
CoRR
Jorge Quesada, Zoe Fowler, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib
2024 J jnl
CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults.
CoRR
Mohit Prabhushankar, Kiran Kokilepersaud, Jorge Quesada, Yavuz Yarici, Chen Zhou, Mohammad Alotaibi, Ghassan AlRegib, Ahmad Mustafa, Yusufjon Kumakov
2024 — conf
PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model.
CVPR Workshops
Jorge Quesada, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib
2023 J jnl
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction.
CoRR
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
2022 A* conf
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction.
NeurIPS
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
2019 — conf
Hyper-Parameter Selection on Convolutional Dictionary Learning Through Local ℓ0, ∞ Norm.
EUSIPCO
Gustavo Silva, Jorge Quesada, Paul Rodríguez
2018 — conf
Efficient GPU-based implementation of the median filter based on a multi-pixel-per-thread framework.
SSIAI
Gabriel Salvador, Juan M. Chau, Jorge Quesada, Cesar Carranza
2018 — conf
Efficient separable filter estimation using Rank-1 Convolutional Dictionary Learning.
MLSP
Gustavo Silva, Jorge Quesada, Paul Rodríguez
2018 Misc conf
Separable Dictionary Learning for Convolutional Sparse Coding via Split Updates.
ICASSP
Jorge Quesada, Paul Rodríguez, Brendt Wohlberg
2017 Misc conf
Fast convolutional sparse coding with separable filters.
ICASSP
Gustavo Silva, Jorge Quesada, Paul Rodríguez, Brendt Wohlberg
2016 B conf
Automatic vehicle counting method based on principal component pursuit background modeling.
ICIP
Jorge Quesada, Paul Rodríguez