My research work is at the intersection of computer vision and computational imaging. My research aims to design computational imaging systems and develop novel computer vision algorithms to improve final vision tasks while obtaining benefits like privacy protection, compression, etc. My research starts from the camera itself (hardware) and finishes with developing novel computer vision algorithms (software).
I got my B. Sc., M. Sc., and Ph.D. degrees in Computer Science from Universidad Industrial de Santander, Colombia, in 2015, 2018, and 2022, respectively. Currently I’m an intern researcher in the Stanford Vision and Learning Lab (SVL) under the supervision of Prof. Juan Carlos Niebles.
| Apr. 2022 | I successfully defended my Ph.D. and got the laureate distinction! Happy to have a Ph.D. in Computer Science :)
| Apr. 2022 | Happy to win third place in a data challenge competition for rare tumors organized by the Société Française de Radiologie (SFR) - France. The news here (spanish)
| Apr. 2022 | Happy to be selected as a ECCV 2022 reviewer.
| Nov. 2021 | Happy to be selected as a CVPR 2022 reviewer.
| Nov. 2021 | I will co-organizing the LatinX in CV (LXCV) workshop at CVPR 2022!
| Oct. 2021 | Our IEEE JSTAR journal paper on Fast Hyperspectral Image Subspace Clustering was accepted for publication.
| Sep. 2021 | I am co-organizing the LXCV workshop at ICCV 2021.
| July 2021 | Excited to start doing a research internship at the Stanford Vision and Learning Lab this fall!
| July 2021 | Our ICCV2021 conference paper on Privacy-preserving Optics will appear as an oral presentation (top 3% of all ICCV2021 submissions).
| July 2021 | Our SPIE JARS journal paper on Hyperspectral Image Clustering was accepted for publication.
| Apr. 2021 | Our COSI2021 conference paper on Compressed-domain Classification was accepted as an oral presentation.
| Feb. 2021 | Our ISBI2021 conference paper on Subspace-based Domain Adaptation was accepted as an oral presentation.
Journal and conference papers I have published