Paper 'UnMix-NeRF' accepted in ICCV 2025; Paper 'ColorMAE' accepted in ECCV 2024; Two papers accepted to CVPR 2024; Paper 'Optics Lens Design for Privacy-preserving Scene Captioning' won Best Paper Award at ICIP 2022; Successfully defended Ph.D. thesis and received laureate distinction; Won third place in SFR data challenge competition.
Research Experience
Currently a Postdoctoral Researcher at KAUST, working with Prof. Bernard Ghanem. Co-organized multiple workshops such as ICCV 2023, CVPR 2023, etc. Also an Area Chair for BMVC 2025.
Education
Received B.Sc., M.Sc., and Ph.D. degrees in Computer Science from Universidad Industrial de Santander, Colombia, in 2015, 2018, and 2022, respectively. Was a research intern at the Stanford Vision and Learning Lab (SVL), supervised by Prof. Juan Carlos Niebles.
Background
Research interests span Computer Vision, Machine Learning, AI Safety, and AI for Science. Focuses on developing safe, accurate, and efficient vision systems and machine-learning models that can reliably perceive, understand, and act on information, while ensuring robustness, protecting privacy, and aligning with societal values.
Miscellany
Looking for talented Ph.D. students for remote internships; Interested in contributions of LatinX in the field of Computer Vision and has been involved in organizing related workshops.