Task Learning through Visual Demonstration and Situated Dialogue Changsong Liu and Joyce Y. Chai Nishant Shukla and Song-Chun Zhu Department of Computer Science and Engineering Center for Vision, Cognition, Learning and

Source URL: shukla.io

• Learning
• Humancomputer interaction
• Cognition
• Machine learning
• Multimodal interaction
• User interfaces
• Graphical model
• Artificial intelligence
• Robot learning
• Natural language processing
• Parsing
• Dialogue system

Science Europe Position Statement On a New Vision for More Meaningful Research Impact Assessment J uly 2017

Source URL: www.scienceeurope.org

• Knowledge
• Evaluation
• Research Excellence Framework
• Research
• Science
• Natural environment
• Impact assessment
• Social impact assessment
• Environmental impact assessment

2 ”Our vision is to be a world-leading research center that uses the unique opportunities offered by nanoscience to advance fundamental science and

Source URL: www.nano.lu.se

Toward a General Solution to the Symbol Grounding Problem: Combining Machine Learning and Computer Vision Paul Davidsson Department of Computer Science, Lund University Box 118, S{Lund, Sweden

Source URL: fileadmin.cs.lth.se

Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering Chong You† Chun-Guang Li∗ Daniel P. Robinson‡ Ren´e Vidal† † Center for Imaging Science, Johns Hopkins University ∗ SICE, Beijin

Source URL: www.vision.jhu.edu

IEEE RTSI 2018 – Track 2 – 2.1 COMPUTER VISION Computer vision is the science of automatic understanding of images and video. Main topics consists of computing properties of the 3D world from visual data, developing

Source URL: rtsi2018.ieeesezioneitalia.it

Invitation Ophthalmology Conferences welcomes you to attend International Conference on Ophthalmology and Vision Science 2018 which will be held during November, 2018 at Rome, Italy. This annual meeting melds br

Source URL: www.worldophthalmologyconferences.com

Hydrography Goals  Fiscal Year 2015­2016­2017    Future Vision    To drive new discoveries in the science and management of the Nation’s surface water resources by 

Source URL: nhd.usgs.gov

Industrielle Bildverarbeitung und Machine Vision Science School

Source URL: www.grace.kit.edu

Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TRMarch 18, 2006

Source URL: www.vision.caltech.edu