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. and M. Sc. degrees in Computer Science from Universidad Industrial de Santander, Colombia, in 2015 and 2018, respectively. I am pursuing a Ph.D. in computer science under the supervision of Prof. Henry Arguello. Currently I’m an intern researcher in the Stanford Vision and Learning Lab (SVL) under the supervision of Prof. Juan Carlos Niebles.
| 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