Víctor Ponce López

R&D in Computer Vision and Machine Learning



Journal papers


V. Ponce-López. Large Language Models for Multi-Choice Question Classification of Medical Subjects. arXiv preprint arXiv:2403.14582, 2024. [Link] [PDF] [BibTeX]


J.-F Barcroft, E. Yom-Tov, V. Lampos, L.-B. Ellis, D. Guzman, V. Ponce-López, T. Bourne, I.-J. Cox, S. Saso. Using online search activity for earlier detection of gynaecological malignancy. BioMedCentral (BMC) Public Health, vol. 24(608) 2024. [Link] [PDF][Abstract] [Link2]


V. Ponce-López, C. Spataru. Social Media Behaviour Analysis in Disaster-Response Messages of Floods and Heat Waves via Artificial Intelligence. Journal of Computer and Information Science, vol. 15(3), pp. 18-36, 2022. [Link] [PDF] [BibTeX]


P. Hill, J. Biggs, V. Ponce-López, D. Bull. Time-Series Prediction Approaches to Forecasting Deformation in Sentinel-1 InSAR Data. Journal of Geophysical Research: Solid Earth, vol. 126(3), pp. 1–17, 2021. [Link] [PDF] [BibTeX]


J. Biggs, N. Anantrasirichai, F. Albino, P. Hill, V. Ponce-López. Machine Learning Techniques for Detecting Slow, Sustained Deformation in InSAR Time Series. AGU Fall Meeting Abstracts, S54A-03, 2019. [Link]


H.-J. Escalante, V. Ponce-López, S. Escalera, X. Baró, A. Morales-Reyes, and J. Martínez-Carranza. Evolving weighting schemes for the Bag of Visual Words. Neural Computing and Applications, vol. 28(5), pp. 925–939, 2016. [Link] [PDF] [BibTeX]


V. Ponce-López, S. Escalera, M. Perez, O. Janés, and X. Baró. Non-Verbal Communication Analysis in Victim-Offender Mediations. Pattern Recognition Letters, vol. 67(1), pp. 19-27, 2015. [Link] [PDF] [BibTeX] [arXiv pre-print][VideoSample]


A. Hernandez-Vela, M. A. Bautista, X. Perez-Sala, V. Ponce-López, X. Baro, O. Pujol, C. Angulo, and S. Escalera. Probability-based Dynamic Time Warping and Bag-of-Visual-and-Depth-Words for Human Gesture Recognition in RGB-D. Pattern Recognition Letters, vol. 50(1), pp. 112-121, 2014. [Link] [PDF] [BibTeX]


A. Hernández-Vela, M. Reyes, V. Ponce, S. Escalera. GrabCut-Based Human Segmentation in Video Sequences. Sensors, vol. 12(11), pp. 15376-15393, 2012. [Link] [PDF] [BibTeX] [Data]




Proceeding papers in Conferences and Workshops

V. Ponce-López, T. Burdghart, Y. Sun, S. Hannuna, D. Damen, M. Mirmehdi. Deep Compact Person Re-Identification with Distractor Synthesis via Guided DC-GANs. International Conference on Image Analysis and Processing (ICIAP), Lecture Notes in Computer Science, vol. 11751, pp. 488-498, 2019. [Link] [PDF] [Poster] [BibTeX]


V. Ponce-López, T. Burdghart, S. Hannuna, D. Damen, A. Masullo, M. Mirmehdi. Semantically Selective Augmentation for Deep Compact Person Re-Identification. European Conference on Computer Vision (ECCV) Workshops, Lecture Notes in Computer Science, vol. 11130, pp. 551-561, 2019. [Link] [PDF] [BibTeX] [See vponcelo in GitHubCode 1] [See vponcelo in GitHubCode 2] [arXiv pre-print] [Poster]


A. Masullo, T. Burdghart, D. Damen, S. Hannuna, V. Ponce-López, M. Mirmehdi. CaloriNet: From Silhouettes to calorie estimation in private environments. British Machine Vision Conference (BMVC), no 383, pp. 1-14, 2018. [PDF] [arXiv pre-print] [BibTeX]


P. Fiadino, V. Ponce-López, J.-A Torrero-Gonzalez, M. Torrent-Moreno. Call Detail Records for Human Mobility Studies: Taking Stock of the Situation in the “Always Connected Era”. ACM SIGCOMM 2017 Workshop on Big Data Analytics and Machine Learning (BIG-DAMA) for Data Communication Networks, pp. 43-48, 2017. [Link] [PDF] [BibTeX]


M. Asadi-Aghbolaghi, A. Clapés, M. Bellantonio, H.-J. Escalante, V. Ponce-López, X. Baró, I. Guyon, S. Kasaei, S. Escalera. A survey on deep learning based approaches for action and gesture recognition in image sequences. Proceedings of 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp. 476-483, 2017. [Link] [PDF] [BibTeX]


H.-J. Escalante, V. Ponce-López, J. Wan, M.-A. Riegler, B. Chen, A. Clapés, S. Escalera, I. Guyon, X. Baró, Pal Halvorsen, H. Müller, M. Larson ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An Overview. Proceedings of the International Conference on Pattern Recognition (ICPR) Joint Contest on Multimedia Challenges Beyond Visual Analysis, pp. 67-73, 2016. [Link] [PDF] [BibTeX]


V. Ponce-López, B. Chen, M. Oliu, C. Corneanu, A. Clapés, I. Guyon, X. Baro, H. J. Escalante, S. Escalera. ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results. Proceedings of the European Conference in Computer Vision (ECCV), Workshop and Challenge on Apparent Personality Analysis, Lecture Notes in Computer Science, vol. 9915, pp. 400-418, 2016. [Link] [PDF] [BibTeX]


B. Chen, S. Escalera, I. Guyon, V. Ponce - López, N. Shah, M. Oliu. Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits. Proceedings of the European Conference in Computer Vision (ECCV), Workshop on Apparent Personality Analysis, Lecture Notes in Computer Science, vol. 9915, pp. 419-432, 2016. [Link] [PDF] [BibTeX]


V. Ponce-López, H.J. Escalante, S. Escalera, X. Baró. Gesture and Action Recognition by Evolved Dynamic Subgestures. Proceedings of the British Machine Vision Conference (BMVC), pp. 129.1-129.13, 2015. [Link] [PDF] [Abstract] [Poster] [BibTeX] [See vponcelo in GitHubCode]


H.J. Escalante, J. Martinez, S. Escalera, V. Ponce-López and X. Baró. Improving Bag of Visual Words Representations with Genetic Programming. Proceedings of the International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2015. [Link] [PDF] [BibTeX]


S. Escalera, X. Baró. J. Gonzàlez, M. Bautista, M. Madadi, M. Reyes, V. Ponce-López, H. Escalante, J, Shotton, I. Guyon. ChaLearn Looking at People Challenge 2014: Dataset and Results. European Conference on Computer Vision (ECCV) ChaLearn LAP Workshop, Lecture Notes in Computer Science, vol. 8925, pp. 459-473, 2015. [Link] [PDF] [BibTeX]


V. Ponce-López, S. Escalera, and X. Baró. Multi-modal Social Signal Analysis for Predicting Agreement in Conversation Settings. International Conference on Multimodal Interaction (ICMI), pp. 495-502, 2013. [Link] [PDF] [BibTeX]


A. Hernández, M. A. Bautista, X. Pérez, V. Ponce, X. Baró, O. Pujol, C. Angulo, and S. Escalera. BoVDW: Bag-of-Visual-and-Depth-Words for Gesture Recognition. 21st International Conference on Pattern Recognition (ICPR), pp. 449-452, 2013. [Link] [PDF] [BibTeX]


M. A. Bautista, A. Hernández, V. Ponce, X. Pérez, X. Baró, O. Pujol, C. Angulo, and S. Escalera. Probability-based Dynamic Time Warping for Gesture Recognition. International Workshop on Depth Image Analysis, International Conference on Pattern Recognition (iCPR), vol. 7854, pp. 126-135, 2013. [Link] [PDF] [BibTeX]


V. Ponce, S. Escalera, & X. Baro. Social Signal Analysis in Criminal Mediation Processes. Advances in Theory and Applications of Computer Vision, CVCR&D Workshop, 2012, vol. 1. [PDF] [Poster]


V. Ponce, M. Reyes, X. Baró, M. Gorga and S. Escalera. Two-level GMM Clustering of Human Poses for Automatic Human Behavior Analysis. CVCR&D State of the Art of Research and Development in Computer Vision, CVCR&D Workshop, 2011, ISBN 978-84-938351-5-6, pp. 47-50. [PDF] [Poster]


V. Ponce, M. Gorga, X. Baró, S. Escalera. Human Behavior Analysis from Video Data using Bag-of-Gestures. International Joint Conference on Artificial Intelligence (IJCAI), vol. 3, pp. 2836-2837, 2011. [Link] [PDF] [BibTeX]


V. Ponce, S. Escalera, X. Baró, and P. Radeva. Automatic Analysis of Non-verbal Communication. Achievements and New Opportunities in Computer Vision, CVCR&D Workshop, pp. 105-108, 2010. [PDF] [Poster]




Book Chapters


M. Asadi-Aghbolaghi, A. Clapés, M. Bellantonio, H.-J. Escalante, V. Ponce-López, X. Baró, I. Guyon, S. Kasaei, S. Escalera. Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey. Gesture Recognition, The Springer Series on Challenges in Machine Learning book series (SSCML), pp. 539-578, 2017. [Link] [PDF] [BibTeX]




Technical Reports - White Papers


Víctor Ponce-López. Large Language Models for Multi-Choice Question Classification of Medical Subjects. Technical Report, University College London, 2024. [Link][PDF][Leaderboard]


V. Ponce-López, Paul Hill, Juliet Biggs. Time-Series Forecasting for Ground Deformation. Technical Report, University of Bristol, 2019. [Poster]


Yue Sun. Re-identification in Home Environments using Facial and Appearance Features. Bachelor of Science Thesis in the Department of Computer Science at the Faculty of Engineering, University of Bristol, 2018. [PDF]


Xiang He. . Master of Science Thesis in the Department of Computer Science at the Faculty of Engineering, University of Bristol, 2018. [PDF]


Atis Elsts, Tilo Burghardt, Dallan Byrne, Dima Damen, Xenofon Fafoutis, Sion Hannuna, Victor Ponce Lopez, Alessandro Masullo, Majid Mirmehdi, George Oikonomou, Robert Piechocki, Emma Tonkin, Antonis Vafeas, Przemyslaw Woznowski, Ian Craddock. A Guide to the SPHERE 100 Homes Study Dataset. University of Bristol Tech. Report, 2018. [Link] [PDF] [BibTeX]


V. Ponce. Evolutionary Bags of Space-Time Features for Human Analysis. Ph.D. Thesis, 2016. [Link] [PDF] [Slides]


V. Ponce. Multi-Modal Human Gesture Recognition combining Dynamic Programming and Probabilistic Methods. M.Sc. Thesis, 2012. [PDF] [Slides]


V. Ponce, M. Gorga, X. Baró, P. Radeva, and S. Escalera. Análisis de la expresión oral y gestual en proyectos fin de carrera vía un sistema de visión artificial. (In Spanish) ReVisión, la revista electrónica de la Asociación de Enseñantes Universitarios de la Informática (AENUI), ISSN 1989-1199, vol. 4(1), 2011. [Link] [PDF]


V. Ponce. Reproducció d’Accions en Vídeo. B.Sc. Thesis, 2010 (In Catalan). [PDF] [Slides]