Ph.D. student in Stanford's Vision and Learning Lab (SVL) studying efficient video understanding where I'm co-advised by Juan Carlos Niebles and Jiajun Wu. Prior to this I was a M.Sc.Eng. Student at Pontificia Universidad Católica de Chile, where I researched for over 2 years, with emphasis in Machine Reasoning, Meta Learning and Adaptive Computation Time models. Additionally I was a teaching assistant for the courses Artificial intelligence, Deep Learning, and the Capstone for Software Engineering majors, as well as teacher in the same institution's AI diploma course. I'm passionate about the outdoors (ultra-running, skiing, hiking, etc!) and scientific innovation.
Ph.D. student in Stanford Vision and Learning Lab (SVL) co-advised by Juan Carlos Niebles and Jiajun Wu.Fall 2021 - Present
Multimodal algorithms for video understanding.Oct. 2020 - Jan. 2021
Research and implementation of computer vision algorithms for the automatic recognition of products in store shelves.
Models run locally on embedded devices, or on cloud GPU instances.
Worked on Adaptive Computation Time on recurrent and non-recurrent models (and ensembles).
Graduated with highest distinction.
Worked on DL models pertaining to Visual Reasoning, Adaptive Computation Time, Natural Language Processing and Action Recognition.July 2017 - June 2021
Majored in Software Engineering (minor Data Science).
Graduated with distinction.
Shyamal Buch and Cristobal Eyzaguirre and Adrien Gaidon and Jiajun Wu and Li Fei-Fei and Juan Carlos Niebles
(Oral) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[arXiv] / [Blog] / [bibtex]
Cristobal Eyzaguirre and Felipe del Rio and Vladimir Araujo and Alvaro Soto
(ACL Workshop) NLP Power! The First Workshop on Efficient Benchmarking in NLP, 2022
[arXiv] / [GitHub] / [bibtex]
Cristobal Eyzaguirre and A. Soto
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[arXiv] / [GitHub] / [Blog] / [bibtex]
© 2022 Cristobal Eyzaguirre