Jorge Quesada

According to our database, Jorge Quesada authored at least 17 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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, Yusufjon Kumakov, Mohit Prabhushankar, Ghassan AlRegib

CoRR, May, 2025

2024

PointPrompt: A Visual Prompting Dataset based on the Segment Anything Model.

Jorge Quesada, Zoe Fowler, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib

Dataset, June, 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

Dataset, June, 2024

PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model.

Jorge Quesada, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib

Dataset, April, 2024

SegFaults in the Earth.

Ghassan AlRegib, Mohit Prabhushankar, Chen Zhou, Prithwijit Chowdhury, Jorge Quesada

Dataset, April, 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, Yusufjon Kumakov

CoRR, 2024

PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model.

Jorge Quesada, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib

Dataset, 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

Dataset, 2024

PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model.

Jorge Quesada, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Benchmarking Human and Automated Prompting in the Segment Anything Model.

Jorge Quesada, Zoe Fowler, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib

Proceedings of the IEEE International Conference on Big Data, 2024

2022

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, Eva L. Dyer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019

Hyper-Parameter Selection on Convolutional Dictionary Learning Through Local ℓ0, ∞ Norm.

Gustavo Silva, Jorge Quesada, Paul Rodríguez

Proceedings of the 27th European Signal Processing Conference, 2019

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

Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, 2018

Efficient separable filter estimation using Rank-1 Convolutional Dictionary Learning.

Gustavo Silva, Jorge Quesada, Paul Rodríguez

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Separable Dictionary Learning for Convolutional Sparse Coding via Split Updates.

Jorge Quesada, Paul Rodríguez, Brendt Wohlberg

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Fast convolutional sparse coding with separable filters.

Gustavo Silva, Jorge Quesada, Paul Rodríguez, Brendt Wohlberg

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Automatic vehicle counting method based on principal component pursuit background modeling.

Jorge Quesada, Paul Rodríguez

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016