Patricia Márquez-Valle

According to our database, Patricia Márquez-Valle authored at least 9 papers between 2011 and 2015.

Collaborative distances:

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

2015

A confidence framework for the assessment of optical flow performance.

Patricia Márquez-Valle

PhD thesis, 2015

Confidence Measures for Assessing the HARP Algorithm in Tagged Magnetic Resonance Imaging.

Hanne B. Kause, Aura Hernández-Sabaté, Patricia Márquez-Valle, Andrea Fuster, Luc Florack, Hans C. van Assen, Debora Gil

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

2014

Local Analysis of Confidence Measures for Optical Flow Quality Evaluation.

Patricia Márquez-Valle, Debora Gil, Rudolf Mester, Aura Hernández-Sabaté

Proceedings of the VISAPP 2014, 2014

Factors Affecting Optical Flow Performance in Tagging Magnetic Resonance Imaging.

Patricia Márquez-Valle, Hanne B. Kause, Andrea Fuster, Aura Hernández-Sabaté, Luc Florack, Debora Gil, Hans C. van Assen

Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014

2013

When Is a Confidence Measure Good Enough?

Patricia Márquez-Valle, Debora Gil, Aura Hernández-Sabaté, Daniel Kondermann

Proceedings of the Computer Vision Systems - 9th International Conference, 2013

Evaluation of the Capabilities of Confidence Measures for Assessing Optical Flow Quality.

Patricia Márquez-Valle, Debora Gil, Aura Hernández-Sabaté

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

2012

Error Analysis for Lucas-Kanade Based Schemes.

Patricia Márquez-Valle, Debora Gil, Aura Hernández-Sabaté

Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

A Complete Confidence Framework for Optical Flow.

Patricia Márquez-Valle, Debora Gil, Aura Hernández-Sabaté

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2011

A confidence measure for assessing optical flow accuracy in the absence of ground truth.

Patricia Marquez, Debora Gil, Aura Hernández-Sabaté

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011