Computer Scientist

My research interests span Computer Vision, Machine Learning, Safety AI, and Computational Imaging. In particular, I’m interested in developing safe and efficient vision systems and machine-learning models that can efficiently recognize and understand human actions and activities, objects, scenes, and events while also obtaining additional benefits like privacy protection, compression, and robustness.

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. Currently, I’m Postdoctoral Fellow at KAUST working with Prof. Bernard Ghanem.

Resume Contact me

I am currently accepting applications from talented PhD students for internships at KAUST. If you have an exciting research idea, feel free to drop me an email at carlos DOT hinojosa AT kaust DOT edu DOT sa!

Recent Highlights

| Sep. 2024 | I am an invited speaker at the 2nd Workshop on Privacy For Vision & Imaging at ECCV 2024.
| Sep. 2024 | Our ColorMAE paper will also be presented in the Self Supervised Learning: What is Next workshop at ECCV 2024.
| Jul. 2024 | Our ColorMAE paper has been accepted in ECCV 2024! See you in Milan.
| 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).

Publications

Journal and conference papers I have published

PrivHAR: Recognizing Human Actions from Privacy-preserving Lens

ECCV 2022 | European Computer Vision Association (ECVA)

Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Fei-Fei Li, Juan Carlos Niebles

PDF Supplementary Code Project Poster Video

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

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

PrivHAR: Recognizing Human Actions from Privacy-preserving Lens

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

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

Contact