Sara's research focuses on NeRF and its applications, including scene editing and efficiency.

Biography

Sara Rojas Martinez is a Ph.D. student in the KAUST Image and Video Understanding Lab (IVUL) under the supervision of Professor Bernard Ghanem. Before joining KAUST, Sara obtained a master’s degree in Biomedical Engineering from Universidad de Los Andes, Bogotá, Colombia. 

Sara completed a research internship at Naver Labs Europe, where she worked on extending MAST3R to better understand humans in-the-wild. Her advisors were Gregory Rogez, Matthieu Armando, and Vincent Leroy.

Prior to that, Sara interned at Adobe Research, where she worked under the guidance of Kalyan Sunkavalli. She also collaborated with Reality Labs at Meta in Zurich, mentored by Albert Pumarola and Ali Thabet. Earlier, she conducted research at the University of Southern California with Autumn Kulaga.

Research Interests

Sara is interested in topics related to the investigation in Artificial Intelligence, 3D computer vision, deep learning, generative AI, and image processing. She has also worked on 3D reconstruction.

 

Education

Master of Science (M.S.)
Biomedical Engineering, Biomedical Engineering, University of Los Andes, Colombia, 2018
Bachelor of Engineering (B.Eng.)
Artificial Intelligence in Electronics Engineering, University of Los Andes, Colombia, 2017