Automatic vehicle counting method based on principal component pursuit background modeling. - Jorge Quesada; Paul Rodríguez 001 (ICIP, 2016)

Fast convolutional sparse coding with separable filters. - Gustavo Silva; Jorge Quesada; Paul Rodríguez 001; Brendt Wohlberg (ICASSP, 2017)

Separable Dictionary Learning for Convolutional Sparse Coding via Split Updates. - Jorge Quesada; Paul Rodríguez 001; Brendt Wohlberg (ICASSP, 2018)

Efficient separable filter estimation using Rank-1 Convolutional Dictionary Learning. - Gustavo Silva; Jorge Quesada; Paul Rodríguez 001 (MLSP, 2018)

Efficient GPU-based implementation of the median filter based on a multi-pixel-per-thread framework. - Gabriel Salvador; Juan M. Chau; Jorge Quesada; Cesar Carranza (SSIAI, 2018)

Hyper-Parameter Selection on Convolutional Dictionary Learning Through Local ℓ0, ∞ Norm. - Gustavo Silva; Jorge Quesada; Paul Rodríguez 001 (EUSIPCO, 2019)

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. - 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; et al. (NeurIPS, 2022)

Benchmarking Human and Automated Prompting in the Segment Anything Model. - Jorge Quesada; Zoe Fowler; Mohammad Alotaibi; Mohit Prabhushankar; Ghassan AlRegib (IEEE Big Data, 2024)

PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model. - Jorge Quesada; Mohammad Alotaibi; Mohit Prabhushankar; Ghassan AlRegib (CVPR Workshops, 2024)

CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults. - Mohit Prabhushankar; Kiran Kokilepersaud; Jorge Quesada; Yavuz Yarici; Chen Zhou; Mohammad Alotaibi; Ghassan AlRegib (Zenodo, 2024)

PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model. - Jorge Quesada; Mohammad Alotaibi; Mohit Prabhushankar; Ghassan AlRegib (Zenodo, 2024)

CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults. - Mohit Prabhushankar; Kiran Kokilepersaud; Jorge Quesada; Yavuz Yarici; Chen Zhou; Mohammad Alotaibi; Ghassan AlRegib; Ahmad Mustafa 002; Yusufjon Kumakov (CoRR, 2024)

SegFaults in the Earth. - Ghassan AlRegib; Mohit Prabhushankar; Chen Zhou; Prithwijit Chowdhury; Jorge Quesada (Zenodo, 2024)

PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model. - Jorge Quesada; Mohammad Alotaibi; Mohit Prabhushankar; Ghassan AlRegib (Zenodo, 2024)

CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults. - Mohit Prabhushankar; Kiran Kokilepersaud; Jorge Quesada; Yavuz Yarici; Chen Zhou; Mohammad Alotaibi; Ghassan AlRegib (Zenodo, 2024)

PointPrompt: A Visual Prompting Dataset based on the Segment Anything Model. - Jorge Quesada; Zoe Fowler; Mohammad Alotaibi; Mohit Prabhushankar; Ghassan AlRegib (Zenodo, 2024)

A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior. - Jorge Quesada; Chen Zhou; Prithwijit Chowdhury; Mohammad Alotaibi; Ahmad Mustafa 002; Yusufjon Kumakov; Mohit Prabhushankar; Ghassan AlRegib (CoRR, 2025)