Welcome To The
Stanford Vision and Learning Lab
The Stanford Vision and Learning Lab (SVL) at Stanford is directed by Professors Fei-Fei Li, Juan Carlos Niebles, Silvio Savarese and Jiajun Wu. We are tackling fundamental open problems in computer vision research and are intrigued by visual functionalities that give rise to semantically meaningful interpretations of the visual world.
JackRabbot
Our work at the SVL is making practical a new generation of autonomous agents that can operate safely alongside humans in dynamic crowded environments such as terminals, malls, or campuses. The Stanford “Jackrabbot”, which takes it name from the nimble yet shy Jackrabbit, is a self-navigating automated electric delivery cart capable of carrying small payloads.
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Stanford People, AI & Robots Group (PAIR)
Stanford People, AI & Robots Group (PAIR) is a research group under the Stanford Vision & Learning Lab that focuses on developing methods and mechanisms for generalizable robot perception and control. We work on challenging open problems at the intersection of computer vision, machine learning, and robotics. We develop algorithms and systems that unify in reinforcement learning, control theoretic modeling, and 2D/3D visual scene understanding to teach robots to perceive and to interact with the physical world.
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ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding
Our work at the SVL is making practical a new generation of autonomous agents that can operate safely alongside humans in dynamic crowded environments such as terminals, malls, or campuses. The Stanford “Jackrabbot”, which takes it name from the nimble yet shy Jackrabbit, is a self-navigating automated electric delivery cart capable of carrying small payloads.
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Partnership in AI-Assisted Care.
The Partnership in AI-Assisted Care (PAC) is an interdisciplinary collaboration between the School of Medicine and the Computer Science department focusing on cutting edge computer vision and machine learning technologies to solve some of healthcare's most important problems.
Link MediaOur research addresses the theoretical foundations and practical applications of computational vision. We are focused on discovering and proposing the fundamental principles, algorithms and implementations for solving high-level visual perception and cognition problems involving computational geometry, automated image and video analysis, and visual reasoning. At the same time, our curiosity leads us to study the underlying neural mechanisms that enable the human visual system to perform high level visual tasks with amazing speed and efficiency.
Press Coverage
Join the Lab
If you are interested in research opportunities at SVL, please fill out this application survey. (Stanford students only)
Fei-Fei Li
(publishes under L.Fei-Fei)
Sequoia Professor of Computer Science
Denning Co-Director
Stanford HAIRead More
Silvio Savarese
Adjunct Professor and Inaugural Mindtree Faculty Scholar at Stanford University
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