Overview

The Computational Vision and Geometry Lab (CVGL) at Stanford is directed by Prof. Silvio Savarese. Our research addresses the theoretical foundations and practical applications of computational vision. Our interest lies in discovering and proposing the fundamental principles, algorithms and implementations for solving high level visual recognition and reconstruction problems such as object and scene understanding as well as human behavior recognition in the complex 3D world.

Photo Gallery

Here are some highlights from our featured projects:

Deep Metric Learning via Lifted Structured Feature Embedding Deep Metric Learning via Lifted Structured Feature Embedding

3D Semantic Parsing of Large-Scale Indoor Spaces 3D Semantic Parsing of Large-Scale Indoor Spaces

Enriching Object Detection Enriching Object Detection

Vision Groups retreat

Combining 3D Shape, Color, and Motion for Robust Anytime Tracking Combining 3D Shape, Color, and Motion for Robust Anytime Tracking

Monitoring with D4AR (4 Dimensional Augmented Reality) Models Monitoring with D4AR (4 Dimensional Augmented Reality) Models.

Learning to Track: Online Multi-Object Tracking by Decision Making 3DVP

Data-Driven 3D Voxel Patterns for Object Category Recognition 3DVP

Monocular Multiview Object Tracking with 3D Aspect Parts MVT

Contacts

Address
Computer Science Department, Stanford University
353 Serra Mall, Stanford, CA 94305-9025.

Faculty/Director: Prof Silvio Savarese

Assistant: Alex Sandra Pinedo
Email: asandra at cs dot Stanford dot edu, Phone: (650) 721-6625, Fax: (650) 725-1449