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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2025.07 - 2025.08 Intern
CinfonIA Research Group, Universidad de los Andes
Research on wildlife image segmentation.
- Supervised by PhD. Pablo Arbelaez
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2025.01 - 2025.06 Intern
Télécom Paris, Institut Polytechnique de Paris
Research on domain generalization in computer vision for biodiversity monitoring.
- Supervised by PhD. Jhony H. Giraldo
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2024.05 - Present Researcher
SISTEMIC Research Group, Universidad de Antioquia
Research on adapting foundation models for wildlife species recognition, including endangered species monitoring.
- Integration of foundation model for domain generalization for wildlife monitoring
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2021.04 - 2023.24 Junior Researcher
SISTEMIC Research Group, Universidad de Antioquia
Identification of the transformation in the Colombian forest based on acoustic analysis.
- Machine learning for monitoring Atlapetes blancae
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2021.03 - 2023.30 Teaching Assistant
Universidad de Antioquia
Academic support for undergraduate course of digital electronics.
- Digital Electronics Fundamentals
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2021.03 - Present Teaching Assistant
Universidad de Antioquia
Academic support for undergraduate course of computer science.
- Computer Science I
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 ninth-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 generalization | |
| Domain Adaptation | |
| Wildlife Monitoring | |
| Foundation Models | |
| Contrastive Learning | |
| Multimodal Learning |
| Programming | |
| Python | |
| Matlab | |
| C/C++ |
| Relevant Libraries | |
| PyTorch, PyTorch Geometric, OpenCV, Transformers (HuggingFace) | |
| LaTeX |
| Tools & Frameworks | |
| Weights & Biases | |
| LaTeX | |
| Inkscape | |
| Git |
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 | |
| Graph Signal Procesing |