CV
Basics
| Name | Julian D. Santamaria P |
| Label | M.Sc. Student in Engineering | Computer Vision Researcher |
| julian.santamaria@udea.edu.co | |
| Url | https://www.linkedin.com/in/julian-david-santamaria-pabon/ |
| Summary | M.Sc. student and junior researcher focused on domain adaptation and out-of-distribution generalization for wildlife monitoring. Experienced in developing deep learning models with limited data and foundation model adaptation for computer vision tasks. |
Work
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2025.01 - Present Intern
Télécom Paris, Institut Polytechnique de Paris
Research on domain adaptation in computer vision for biodiversity monitoring.
- Supervised by PhD. Jhony H. Giraldo
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2022.01 - Present Junior Researcher
SISTEMIC Research Group, Universidad de Antioquia
Research on adapting foundation models for wildlife species recognition, including endangered species monitoring.
- Machine learning for monitoring Atlapetes blancae (2022–2023)
- Foundation model adaptation research (2024–Present)
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2021.01 - Present Teaching Assistant
Universidad de Antioquia
Academic support for undergraduate courses in digital electronics and computer science.
- Digital Electronics Fundamentals (2021–2023)
- Computer Science I (2024–Present)
Education
Awards
- 2018.06.01
Academic Excellence Award
Universidad de Antioquia
Highest-performing first-level student in the Electronics Engineering program.
- 2023.06.01
Academic Excellence Award
Universidad de Antioquia
Highest-performing eighth-level student in the Electronics Engineering program.
Publications
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2025.01.01 CATALOG: A Camera Trap Language-guided Contrastive Learning Model
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Oral presentation (top 8%) at WACV 2025. Proposes a contrastive learning model for camera trap image understanding.
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2024.01.01 Audio vs. Visual Approach to Monitor the Critically Endangered Species Atlapetes blancae
IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications, 2024
Compares deep learning approaches using limited audio and visual data for endangered species monitoring.
Skills
| Computer Vision | |
| Domain Adaptation | |
| Wildlife Monitoring | |
| Foundation Models | |
| Contrastive Learning | |
| Multimodal Learning |
| Programming | |
| Python | |
| Matlab | |
| C/C++ |
| Frameworks & Tools | |
| PyTorch | |
| OpenCV | |
| Transformers (HuggingFace) | |
| Weights & Biases | |
| LaTeX |
Languages
| Spanish | |
| Native speaker |
| English | |
| Professional Working Proficiency (B2, IELTS 5.5) |
Interests
| Research | |
| Out-of-Distribution Generalization | |
| Domain Adaptation | |
| Multimodal Learning | |
| Graph Neural Networks |
Projects
- 2024.12 - Present
WildIng: A Wildlife Image Invariant Representation Model
Model under review for geographical domain shift in wildlife imagery.
- Submitted to IJCV