I am a graduating AI Ph.D. student at Stanford University, working with the Stanford AI Lab and Stanford Vision and Learning Lab on efficient and real-time video understanding. My research focuses on making video-language models practical for long-horizon and streaming settings, including linear-time video inference, multimodal reasoning, and evaluation of generative video models. I have interned at Meta, Toyota Research Institute, and Google Research, working on multimodal post-training, video question answering, and production computer vision systems. Previously I completed my M.Sc.Eng. and undergraduate degree at Pontificia Universidad Catolica de Chile, where I worked on machine reasoning, meta-learning, and adaptive computation. Outside research, I'm passionate about the outdoors (mountain biking, ultra-running, skiing, hiking, etc.) and scientific innovation in general.
Ph.D. student in Stanford Vision and Learning Lab (SVL) co-advised by Juan Carlos Niebles and Jiajun Wu.
Fall 2021 - PresentWorked on multimodal post-training for video understanding in Llama within Meta's GenAI Multimodal team.
Summer 2025Characterizing question complexity in video question answering.
Summer 2023Researched multimodal algorithms for active speaker detection, and integrated the model into a production MediaPipe pipeline (included face detection, facial landmark extraction, and audio processing models).
Oct. 2020 - Jan. 2021Research 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 2021Majored in Software Engineering (minor Data Science).
Graduated with distinction.
| Cristobal Eyzaguirre and Jiajun Wu and Juan Carlos Niebles arXiv preprint; submitted to ECCV 2026 (under review), 2026 [arXiv] / [GitHub] / [Webpage] / [bibtex] |
| Neha Balamurugan and Sarah Wu and Adam Chun and Gabe Gaw and Cristobal Eyzaguirre and Tobias Gerstenberg IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026 [arXiv] / [bibtex] |
| Seungwoo Kim and Khai Loong Aw and Klemen Kotar and Cristobal Eyzaguirre and Wanhee Lee and Yunong Liu and Jared Watrous and Stefan Stojanov and Juan Carlos Niebles and Jiajun Wu and Daniel L. K. Yamins Neural Information Processing Systems (NeurIPS), 2025 [arXiv] / [GitHub] / [Webpage] / [bibtex] |
| Cristobal Eyzaguirre Igor Vasiljevic and Achal Dave and Jiajun Wu and Rares Andrei Ambrus and Thomas Kollar and Juan Carlos Niebles and Pavel Tokmakov International Conference on Machine Learning (ICML), 2025 [arXiv] / [GitHub] / [Webpage] / [bibtex] |
| Jinhui Ye* and Zihan Wang* and Haosen Sun and Keshigeyan Chandrasegaran and Zane Durante and Cristobal Eyzaguirre and Yonatan Bisk and Juan Carlos Niebles and Ehsan Adeli and Li Fei-Fei and Jiajun Wu and Manling Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [arXiv] / [GitHub] / [Webpage] / [bibtex] |
| | Cristobal Eyzaguirre and Eric Tang and Shyamal Buch and Adrien Gaidon and Jiajun Wu and Juan Carlos Niebles Neural Information Processing Systems (NeurIPS), 2024 [arXiv] / [GitHub] / [Webpage] / [Blog] / [Poster] / [bibtex] |
| Yunong Liu and Cristobal Eyzaguirre and Manling Li and Shubh Khanna and Juan Carlos Niebles and Vineeth Ravi and Saumitra Mishra and Weiyu Liu and Jiajun Wu Neural Information Processing Systems (NeurIPS), 2024 [arXiv] / [GitHub] / [Webpage] / [bibtex] |
| Keshigeyan Chandrasegaran and Agrim Gupta and Lea M. Hadzic and Taran Kota and Jimming He and Cristobal Eyzaguirre and Zane Durante and Manling Li and Jiajun Wu and Fei-Fei Li Neural Information Processing Systems (NeurIPS), 2024 [arXiv] / [GitHub] / [Webpage] / [bibtex] |
| Rylan Schaeffer and Dan Valentine and Luke Bailey and James Chua and Cristobal Eyzaguirre and Zane Durante and Joe Benton and Brando Miranda and Henry Sleight and John Hughes and Rajashree Agrawal and Mrinank Sharma and Scott Emmons and Sanmi Koyejo and Ethan Perez ICLR 2025. The work also appeared at NeurIPS workshops RBFM (Best Paper), AdvMLFrontiers (Oral), Red Teaming GenAI (Oral), SoLaR (Spotlight), Safe & Trustworthy Agents., 2025 [arXiv] / [bibtex] |
| Rylan Schaeffer and Mikail Khona and Tzuhsuan Ma and Cristobal Eyzaguirre and Sanmi Koyejo and Ila Fiete Conference on Neural Information Processing Systems (NeurIPS), 2023 [arXiv] / [Webpage] / [Poster] / [bibtex] |
| 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] / [Webpage] / [Blog] / [Poster] / [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] |
| | MacMillan, Theodore and Ouellette, Nicholas T The Eurographics Association, 2022 [pdf] / [bibtex] |
| | Svicarovic, Lukas and Parra, Denis and Lobo, Maria Jesus The Eurographics Association, 2020 [pdf] / [bibtex] |
© 2026 Cristobal Eyzaguirre