Juan C. Pérez

PhD Candidate in Computer Vision at KAUST

PhD Candidate

King Abdullah University of Science and Technology (KAUST)


Hi! I'm Juan

I am a PhD Candidate in Computer Science at KAUST, under the supervision of Bernard Ghanem. At KAUST, I am part of the Image and Video Understanding Laboratory (IVUL) and the Artificial Intelligence Initiative (AII).

My research interests revolve broadly around Computer Vision. I just finished an internship at Meta Reality Labs, where I worked with Albert Pumarola on stylizing personalized avatars.

I strive for balancing breadth and depth in my research. Thus, I am keen on learning from other topics and fields, and broadening my collaboration circles. That being said, I am drawn to research that draws inspiration from human intelligence and perception.

You can download my CV here.

I am currently searching for Research Internships.
If you think our research interests match, please don't hesitate in contacting me.


  • Computer Vision

  • Deep Learning

  • Robustness


  • PhD in Computer Science, ongoing
    KAUST, supervised by Bernard Ghanem

  • MS in Biomedical Engineering, 2019
    Universidad de los Andes, supervised by Pablo Arbeláez

  • BS in Biomedical Engineering (cum laude), 2017
    Universidad de los Andes

Short Biography

Before starting my PhD studies, I was a Research Intern at KAUST, supervised by Ali Thabet and Bernard Ghanem. Previous to that, I worked under Pablo Arbeláez (at BCV and CINFONIA, in Universidad de los Andes, Colombia) as a Graduate Research Assistant. Even before that, I was an undegraduate student, also at UniAndes.


Note: please refer to my Google Scholar for the most up-to-date list of papers.

  • Towards Characterizing the Semantic Robustness of Face Recognition, Juan C. Pérez, Motasem Alfarra, Ali Thabet, Pablo Arbeláez, Bernard Ghanem. ArXiv, 2022. Link.

  • On the Robustness of Quality Measures for GANs, Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H.S. Torr, Peter Wonka, Bernard Ghanem. European Conference on Computer Vision (ECCV), 2022. Link.

  • 3DeformRS: Certifying Spatial Deformations on Point Clouds, Gabriel Pérez*, Juan C. Pérez*, Motasem Alfarra*, Silvio Giancola, Bernard Ghanem. Computer Vision and Pattern Recognition (CVPR), 2022. Link.

  • Combating Adversaries with Anti-Adversaries, Motasem Alfarra, Juan C. Pérez, Ali Thabet, Adel Bibi, Philip H.S. Torr, Bernard Ghanem. Association for the Advancement of Artificial Intelligence (AAAI), 2022 – also: Best Extended Abstract Award at LatinX in AI Workshop, at CVPR’22. Link.

  • Certified Robustness in Federated Learning, Motasem Alfarra, Juan C. Pérez, Egor Shulgin, Peter Richtárik, Bernard Ghanem. Neural Information Processing Systems Workshop (NeurIPS-W), 2022. Link.

  • Rethinking Clustering for Robustness, Motasem Alfarra*, Juan C. Pérez*, Adel Bibi, Ali Thabet, Pablo Arbeláez, Bernard Ghanem. British Machine Vision Conference (BMVC), 2021. Link.

  • Towards Robust General Medical Image Segmentation, Laura Daza, Juan C. Pérez, Pablo Arbeláez. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. Link.

  • Enhancing Adversarial Robustness via Test-Time Transformation Ensembling, Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali Thabet, Bernard Ghanem, Pablo Arbeláez. International Conference on Computer Vision Workshop (ICCV-W), 2021. Link.

  • Generalized Real-World Super-Resolution through Adversarial Robustness, Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez. International Conference on Computer Vision Workshop (ICCV-W), 2021. Link.

  • A Hierarchical Assessment of Adversarial Severity, Guillaume Jeanneret, Juan C. Pérez, Pablo Arbeláez. Best Paper Award at International Conference on Computer Vision Workshop (ICCV-W), 2021. Link.

  • Gabor Layers Enhance Network Robustness, Juan C. Pérez*, Motasem Alfarra*, Guillaume Jeanneret*, Adel Bibi, Ali Thabet, Bernard Ghanem, Pablo Arbeláez. European Conference on Computer Vision (ECCV), 2020. Link.

  • Comprehensive Telestroke Network to Optimize Health Care Delivery for Cerebrovascular Diseases: Algorithm Development, Hernán Bayona, Brenda Ropero, Antonio J. Salazar, Juan C. Pérez, Manuel F. Granja, Carlos F. Martínez, Nicolás Useche. Journal of Medical Internet Research (JMIR), 2020. Link.

  • Design of a Telestroke System to Optimize Healthcare Delivery for Cerebrovascular Diseases in Colombia, Brenda Ropero, Nicolás Useche, Manuel F. Granja, Antonio J. Salazar, Juan C. Pérez, Hernán Bayona, Carlos F. Martínez. International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED), 2019. Link.

  • Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries, Edgar Margffoy-Tuay, Juan C. Pérez, Emilio Botero, Pablo Arbeláez. European Conference on Computer Vision (ECCV), 2018. Link.

Honors and awards

Outstanding Reviewer

I have received seven recognitions (at CVPR’19, CVPR’20, NeurIPS’20, CVPR’21, ICCV’21, CVPR’22, ECCV’22).

KAUST PhD Fellowship

I received this fellowship, which covers all my PhD studies (starting in 2021).

Best Engineering Graduation Test Score

Achieved top score in Colombia's graduation test for engineers (in 2016).

Academic Excellence Scholarship

I was awarded this scholarship twice by Uniandinos (in 2016 and 2017).



I try to run at least a couple times a week. I'm far from being a fast runner. However, I do decently, considering I run in Saudi: average temperatures are ~30C and humidity rarely goes below 65%.


Reading is one of my favorite hobbies, and I try to do it every day. Mostly, I like reading non-fiction. My favorite authors are psychologists, which leads me to believe I would also have liked to do research on the human mind.

Many books I've read have changed my view of the world. Next, I enlist some that were eye-opening for me:

  • Learning How to Learn, by Oakley and Sejnowski

  • Thinking, Fast and Slow, by Kahneman

  • How Emotions Are Made, by Feldman-Barret

  • The Blank Slate, The Language Instinct, and Enlightenment Now, by Pinker

  • The Righteous Mind, by Haidt

  • Factfulness, by Rosling

  • Range, by Epstein

  • Think Again and Originals, by Grant