Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Wenbin Li Mario Fritz Max Planck Institute for Informatics wenbinli,

Source URL: scalable.mpi-inf.mpg.de

• Computational neuroscience
• Artificial neural networks
• Computational statistics
• Computer vision
• Deep learning
• Recurrent neural network
• Convolutional neural network
• Conference on Computer Vision and Pattern Recognition
• Activity recognition

PhD Topic: Synthesis of animation for realistic virtual humans Closing Date: 30th June 2016 Post Status: 4 years Department: ADAPT Centre, Graphics, Vision and Visualisation Group, School of Computer

Source URL: adaptcentre.ie

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng Computer Science Department and Department of Elec

Source URL: cs.stanford.edu

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Machine learning
• Applied mathematics
• Cybernetics
• Computer vision
• Convolutional neural network
• Deep learning
• Feature detection
• Feature learning
• Supervised learning

Generating Notifications for Missing Actions: Don’t forget to turn the lights off! Bilge Soran*, Ali Farhadi*† , Linda Shapiro* † *University of Washington

Source URL: ai2-website.s3.amazonaws.com

• Artificial intelligence
• Machine learning
• Philosophy
• Conference on Computer Vision and Pattern Recognition
• Image segmentation
• Market segmentation
• Activity recognition
• Marketing
• Reinforcement learning
• Causality
• Support vector machine

Easy! Computer Vision Release 0.4 A Tutorial at CVPRJune 23, 2013

Source URL: movesinstitute.org

CS 558: Homework Assignment 3 - Image Segmentation Due: April 2, 11:59pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology

Source URL: www.cs.stevens.edu

• Digital photography
• Image processing
• Color space
• Computer graphics
• Image segmentation
• Vision
• K-means clustering
• RGB color model
• Pixel
• Channel
• Imaging

2013 IEEE Conference on Computer Vision and Pattern Recognition Exploring Compositional High Order Pattern Potentials for Structured Output Learning Yujia Li, Daniel Tarlow, Richard Zemel University of Toronto

Source URL: www.cv-foundation.org

International Journal of Computer Vision 33(1), 5–c 1999 Kluwer Academic Publishers. Manufactured in The Netherlands. ° Topographic Maps and Local Contrast Changes in Natural Images

Source URL: www.dtic.upf.edu

Determining depth in scene COMS30121 - Image Processing and Computer Vision Jaroslav Boroviˇ cka – , University of Bristol / Czech Technical University in Prague

Source URL: www.borovicka.org

Computer Vision Cameras, lenses and sensors Marc Pollefeys COMP 256

Source URL: www-inst.eecs.berkeley.edu