About Me

Cristobal Eyzaguirre

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.

My Career

Stanford University

Ph.D. student in Stanford Vision and Learning Lab (SVL) co-advised by Juan Carlos Niebles and Jiajun Wu.

Fall 2021 - Present
Ph.D. Student

Google Research

Multimodal algorithms for video understanding.

Oct. 2020 - Jan. 2021
Research Intern


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.

Winter 2019
Research Intern

Pontificia Universidad Católica de Chile

Worked on Adaptive Computation Time on recurrent and non-recurrent models (and ensembles).
Graduated with highest distinction.

July 2019 - June 2021
M.Sc. Engineering


Worked on DL models pertaining to Visual Reasoning, Adaptive Computation Time, Natural Language Processing and Action Recognition.

July 2017 - June 2021
Student Researcher

Pontificia Universidad Católica de Chile

Majored in Software Engineering (minor Data Science).
Graduated with distinction.

Jan. 2015 - Dec. 2019
B.Sc. Engineering


Revisiting the ''Video'' in Video-Language Understanding
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] / [GitHub] / [Blog] / [bibtex]

DACT-BERT Differentiable Adaptive Computation Time for an Efficient BERT Inference
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]

Differentiable Adaptive Computation Time for Visual Reasoning
Cristobal Eyzaguirre and A. Soto
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[arXiv] / [GitHub] / [Blog] / [bibtex]

Minor Contributions in Other Fields

Lagrangian scale decomposition via the graph Fourier transform
MacMillan, Theodore and Ouellette, Nicholas T
The Eurographics Association, 2022
[pdf] / [bibtex]

Evaluating Interactive Comparison Techniques in a Multiclass Density Map for Visual Crime Analytics
Svicarovic, Lukas and Parra, Denis and Lobo, Maria Jesus
The Eurographics Association, 2020
[pdf] / [bibtex]