Juan Carlos Niebles

Research Director, Salesforce AI Research
Co-Director, Stanford Vision and Learning Lab
Adjunct Professor, CS Dept., Stanford University

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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).

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

Mar 2025 I am one of the 100 most prominent leaders in Artificial Intelligence in Colombia.
Mar 2025 I am an Area Chair for ICCV 2025.
Jan 2025 xGen-MM-Vid (BLIP-3-Video) is now available on HuggingFace. Try out our 32 token and 128 token models!

latest posts

selected publications

  1. viunit_cvpr25.jpg
    ViUniT: Visual Unit Tests for More Robust Visual Programming
    Artemis PanagopoulouHonglu 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
  2. neurips24-sdqes.jpg
    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

all publications