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. I’m a former researcher at the Stanford Vision and Learning Lab (SVL). During my internship at SVL, I was under the supervision of Prof. Juan Carlos Niebles.

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Recent Highlights

| Feb. 2024 | 2 papers accepted to CVPR2024!!
| Aug. 2023 | I am editor of the EURASIP Journal on Image and Video Processing
| Jul. 2023 | I will co-organizing the LatinX in CV (LXCV) workshop at ICCV 2023!
| Mar. 2023 | I will co-organizing the LatinX in CV (LXCV) workshop at CVPR 2023!
| Jan. 2023 | I joined the IVUL research group at King Abdullah University of Science and Technology as a Postdoctoral fellow under the supervision of Prof. Bernard Ghanem.
| Oct. 2022 | Our oral paper on privacy-preserving human action recognition was featured as the cover story in the ECCV2022 magazine by RSIPvision! See the magazine here.
| Oct. 2022 | Our paper “Optics Lens Design for Privacy-preserving Scene Captioning” won the Best Paper Award from the IEEE International Conference on Image Processing (ICIP2022)! See here.
| Apr. 2022 | I successfully defended my Ph.D. and got the laureate distinction!
| 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)

| 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

CX-DaGAN: Domain Adaptation for Pneumonia Diagnosis on a Small Chest X-ray Dataset

IEEE TMI | Journal

Karen Sanchez, Carlos Hinojosa, Henry Arguello, Denis Kouamé, Olivier Meyrignac, Adrian Basarab

PDF DOI

Optics lens design for privacy-preserving scene captioning

ICIP 2022 | IEEE Conference

Paula Arguello, Jhon Lopez, Carlos Hinojosa, Henry Arguello

PDF Project Poster Video

Hierarchical Compressed Subspace Clustering of Infrared Single-pixel Measurements

Whispers 2022 | SwIIms | IEEE Conference

Miguel Marquez, Jonathan Monsalve, Kevin Arias, Karen Sanchez, Carlos Hinojosa, Henry Arguello

PDF Slides Video

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

See all publications

Conferences Attendance

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

Contact

Connect with me

+966 56 213 5537
King Abdullah University of Science and Technology, Library (Building 12), AI Initiative, Office 3120-WS01
Sunday to Thursday, 08:00 AM to 6:00 PM
Book an appointment

Computer Scientist

Recent Highlights

Publications

CX-DaGAN: Domain Adaptation for Pneumonia Diagnosis on a Small Chest X-ray Dataset

Optics lens design for privacy-preserving scene captioning

Hierarchical Compressed Subspace Clustering of Infrared Single-pixel Measurements

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.

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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