Juan Carlos Niebles

bio

Juan Carlos Niebles received an Engineering degree in Electronics from Universidad del Norte (Colombia) in 2002, an M.Sc. degree in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign in 2007, and a Ph.D. degree in Electrical Engineering from Princeton University in 2011.

He is Research Director at Salesforce and Adjunct Professor of Computer Science at Stanford since 2021. He is co-Director of the Stanford Vision and Learning Lab. Before that, he was Associate Director of Research at the Stanford-Toyota Center for AI Research and a Senior Research Scientist at the Stanford AI Lab between 2015 and 2021. He was also an Associate Professor of Electrical and Electronic Engineering in Universidad del Norte (Colombia) between 2011 and 2019.

His research interests are in computer vision, machine learning, multimodal AI and autonomous agents. Juan Carlos has published over 100 research articles in top-tier academic conferences and journals.

He serves as Area Chair for CVPR, ICCV and ECCV, as well as Associate Editor for IEEE TPAMI. He is also a member of the AI Index Steering Committee and is the Curriculum Director for Stanford-AI4ALL.

Juan Carlos has received several awards, including the Google Faculty Research award (2015), the Microsoft Research Faculty Fellowship (2012), a Google Research award (2011) and a Fulbright Fellowship (2005).

He was named one of the Top 100 most prominent leaders in AI in Colombia (2025) and selected as a Forty Under Forty recipient (2018).

research

My core research work is in computer vision. The goal of my research is to enable computers and robots to perceive the visual world by developing novel computer vision algorithms for automatic analysis of images and videos.

From the scientific point of view, we tackle fundamental open problems in computer vision research related to the visual recognition and understanding of human actions and activities, objects, scenes, and events.

From the application perspective, we develop systems that solve practical world problems by introducing cutting-edge computer vision technologies into new application domains.

news

May 2025	I’m co-organizing the ICML 2025 Workshop on MAS Multi-Agent Systems in the Era of Foundation Models: Opportunities, Challenges and Futures.
Apr 2025	Our latest xLAM model ranks #1 in the BCFL function calling leaderboard! See our model and repo.
Apr 2025	The 2025 AI Index report is out!

latest posts

May 2025	Will AI Empower or Eclipse Human Creativity? An Emerging Question in the Age of Intelligent Machines
Apr 2025	The Generalization Gambit - Does It Still Matter in the Age of Big AI?
Apr 2025	Are your Visual Programs Right for the Wrong Reasons?

selected publications

ViUniT: Visual Unit Tests for More Robust Visual Programming

Artemis Panagopoulou, Honglu Zhou, Silvio Savarese, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, and Juan Carlos Niebles

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Nashville, Tennessee. Jun 2025

arXiv Bib Blog Code Website

@inproceedings{Artemis_CVPR_2025,
  title = {{ViUniT}: Visual Unit Tests for More Robust Visual Programming},
  author = {Panagopoulou, Artemis and Zhou, Honglu and Savarese, Silvio and Xiong, Caiming and Callison-Burch, Chris and Yatskar, Mark and Niebles, Juan Carlos},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  address = {Nashville, Tennessee},
  year = {2025},
  month = jun,
}

Streaming Detection of Queried Event Start

Cristobal Eyzaguirre, Eric Tang, Shyamal Buch, Adrien Gaidon, Jiajun Wu, and Juan Carlos Niebles

In Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track. Vancouver, Canada. Dec 2024

arXiv Bib Blog Code Website Data

@inproceedings{Eyzaguirre_NeurIPS_2024,
  author = {Eyzaguirre, Cristobal and Tang, Eric and Buch, Shyamal and Gaidon, Adrien and Wu, Jiajun and Niebles, Juan Carlos},
  title = {Streaming Detection of Queried Event Start},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track},
  address = {Vancouver, Canada},
  month = dec,
  year = {2024},
}

all publications