Supplementary Material A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues David Held, Devin Guillory, Brice Rebsamen, Sebastian Thrun, Silvio Savarese Computer Science Depa

Source URL: davheld.github.io

• Image segmentation
• Parameter
• Prior probability

Robust Single-View Instance Recognition David Held, Sebastian Thrun, Silvio Savarese Abstract— Some robots must repeatedly interact with a fixed set of objects in their environment. To operate correctly, it is helpful

Source URL: cvgl.stanford.edu

• Artificial intelligence
• Computational neuroscience
• Vision
• Cybernetics
• Artificial neural networks
• Computer vision
• Convolutional neural network
• Deep learning
• Outline of object recognition
• One-shot learning
• ImageNet
• Cross-validation

Learning Hierarchical Object Maps Of Non-Stationary Environments With Mobile Robots Dragomir Anguelov Rahul Biswas Daphne Koller Benson Limketkai Scott Sanner Sebastian Thrun

Source URL: robots.stanford.edu

The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces Dragomir Anguelov, Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis ∗ Stanford University, Stan

Source URL: ai.stanford.edu

Detecting and Modeling Doors with Mobile Robots Dragomir Anguelov, Daphne Koller, Evan Parker, Sebastian Thrun Computer Science Department Stanford University, Stanford, CAEmail:{drago, koller, nave, thrun} @cs.st

Source URL: ai.stanford.edu

Traffic Light Mapping, Localization, and State Detection for Autonomous Vehicles Jesse Levinson*, Jake Askeland†, Jennifer Dolson*, Sebastian Thrun* *Stanford Artificial Intelligence Laboratory, Stanford University, CA

Source URL: driving.stanford.edu

Robust Vehicle Localization in Urban Environments Using Probabilistic Maps Jesse Levinson, Sebastian Thrun Stanford Artificial Intelligence Laboratory {jessel,thrun}@stanford.edu

Source URL: driving.stanford.edu

Tracking-Based Semi-Supervised Learning Alex Teichman, Sebastian Thrun Stanford University Department of Computer Science {teichman,thrun}@stanford.edu

Source URL: cs.stanford.edu

Combining 3D Shape, Color, and Motion for Robust Anytime Tracking David Held, Jesse Levinson, Sebastian Thrun, Silvio Savarese Computer Science Department, Stanford University {davheld, jessel, thrun, ssilvio}@cs.stanfor

Source URL: www.roboticsproceedings.org

Practical object recognition in autonomous driving and beyond Alex Teichman and Sebastian Thrun Stanford University Computer Science Department

Source URL: cs.stanford.edu