Carlos Hinojosa
Scholar

Carlos Hinojosa

Google Scholar ID: KP02_jwAAAAJ
Researcher at KAUST
Computer VisionAI SafetyPrivacyMachine LearningAI for Science
Citations & Impact
All-time
Citations
509
 
H-index
12
 
i10-index
17
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • Paper 'UnMix-NeRF' accepted in ICCV 2025; Paper 'ColorMAE' accepted in ECCV 2024; Two papers accepted to CVPR 2024; Paper 'Optics Lens Design for Privacy-preserving Scene Captioning' won Best Paper Award at ICIP 2022; Successfully defended Ph.D. thesis and received laureate distinction; Won third place in SFR data challenge competition.
Research Experience
  • Currently a Postdoctoral Researcher at KAUST, working with Prof. Bernard Ghanem. Co-organized multiple workshops such as ICCV 2023, CVPR 2023, etc. Also an Area Chair for BMVC 2025.
Education
  • Received B.Sc., M.Sc., and Ph.D. degrees in Computer Science from Universidad Industrial de Santander, Colombia, in 2015, 2018, and 2022, respectively. Was a research intern at the Stanford Vision and Learning Lab (SVL), supervised by Prof. Juan Carlos Niebles.
Background
  • Research interests span Computer Vision, Machine Learning, AI Safety, and AI for Science. Focuses on developing safe, accurate, and efficient vision systems and machine-learning models that can reliably perceive, understand, and act on information, while ensuring robustness, protecting privacy, and aligning with societal values.
Miscellany
  • Looking for talented Ph.D. students for remote internships; Interested in contributions of LatinX in the field of Computer Vision and has been involved in organizing related workshops.