Computer Scientist

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.

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Recent Highlights

| 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.
| Oct. 2021 | I won the best oral poster presentation award in the LXCV@ICCV2021 workshop. I presented my ICCV 2021 conference paper on Privacy-preserving Optics.
| 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.

Publications

Journal and conference papers I have published

A Fast and Accurate Similarity-constrained Subspace Clustering Algorithm for Hyperspectral Image

IEEE JSTARS | Journal

Carlos Hinojosa, Esteban Vera, Henry Arguello

PDF Code DOI

Learning Privacy-preserving Optics for Human Pose Estimation.

ICCV 2021 | IEEE Conference

Carlos Hinojosa, Juan Carlos Niebles, Henry Arguello

PDF Supplementary Code Project Poster Slides Video

Efficient subspace clustering of hyperspectral images using similarity-constrained sampling

SPIE Applied Remote Sensing | Journal

Jhon López, Carlos Hinojosa, Henry Arguello

PDF DOI

Subspace-based Domain Adaptation Using Similarity Constraints for Pneumonia Diagnosis within a Small Chest X-ray Image Dataset

ISBI 2021 | IEEE Symposium

Karen Sanchez, Carlos Hinojosa, Henry Arguello, Simon Freiss, Nicolas Sans, Denis Kouamé, Oliver Meyrignc, Adrian Basarab

PDF DOI

Hyperspectral image segmentation using 3D regularized subspace clustering model

SPIE Applied Remote Sensing | Journal

Carlos Hinojosa, Fernando Rojas, Sergio Castillo, Henry Arguello

PDF DOI

Single-pixel camera sensing matrix design for hierarchical compressed spectral clustering

MLSP 2019 | IEEE Workshop

Carlos Hinojosa, Jorge Bacca, Edwin Vargas, Sergio Castillo, Henry Arguello

PDF Project Poster

Spectral-spatial classification from multi-sensor compressive measurements using superpixels.

ICIP 2019 | IEEE Conference

Carlos Hinojosa, Juan Marcos Ramirez, Henry Arguello

PDF Slides DOI

Adaptive grayscale compressive spectral imaging using optimal blue noise coding patterns

ELSEVIER Optics & Laser Technology | Journal

Nelson Diaz, Carlos Hinojosa, Henry Arguello

PDF Code DOI

Supervised spatio-spectral classification of fused images using superpixels

OSA Applied Optics | Journal

Karen Sanchez, Carlos Hinojosa, Henry Arguello

PDF DOI

Coded aperture design for compressive spectral subspace clustering

IEEE JSTSP | Journal

Carlos Hinojosa, Jorge Bacca, Henry Arguello

PDF Code Poster DOI

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Conferences Attendance

I have attended some great conferences; here are some featured images.

Contact

Connect with me

+57 316 749 4710
Carrera 27, Calle 9 Universidad Industrial de Santander Facultad de Ingenierías Físico-Mecánicas Escuela de Ingeniería de Sistemas e Informática, Salon Lp 334
Monday to Friday, 08:00 AM to 6:00 PM Saturday 09:00 AM to 03:00 PM
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Computer Scientist

Recent Highlights

Publications

A Fast and Accurate Similarity-constrained Subspace Clustering Algorithm for Hyperspectral Image

Learning Privacy-preserving Optics for Human Pose Estimation.

Efficient subspace clustering of hyperspectral images using similarity-constrained sampling

Subspace-based Domain Adaptation Using Similarity Constraints for Pneumonia Diagnosis within a Small Chest X-ray Image Dataset

Hyperspectral image segmentation using 3D regularized subspace clustering model

Single-pixel camera sensing matrix design for hierarchical compressed spectral clustering

Spectral-spatial classification from multi-sensor compressive measurements using superpixels.

Adaptive grayscale compressive spectral imaging using optimal blue noise coding patterns

Supervised spatio-spectral classification of fused images using superpixels

Coded aperture design for compressive spectral subspace clustering

Projects

Learning Privacy-preserving Optics for Human Pose Estimation

Smartphone-based application for agricultural remote technical assistance in Colombia

Time to depth conversion and seismic interval velocity estimation

Conferences Attendance

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