ONR MURI 2012-2013 Annual Meeting on
Knowledge Representation, Reasoning and Learning for Understanding Scenes and Events
Session 1: Overview
8:15-8:25
Report on the Project theme and Progress in 2012-2013
Song-Chun Zhu
8:25-8:30
Comments from ONR
Behzad Kamghar-Parsi
Session 2: Object, Scene and Event Recognition
8:30-9:00
Large-scale learning of object shape and function
Deva Ramanan (UC Irvine)
9:00-9:30
3D scenes: SUN 3D database, and parsing IKEA furniture
Hamed Pirsiavash and Antonio Torralba (MIT)
9:30-10:00
Analyzing Three-Dimensional Scenes
Jitendra Malik (UC Berkeley)
10:15-10:30
Scene understanding – the mid-level soft underbelly
Michael Maire and Pietro Perona (Caltech)
10:30-10:45
Towards a causal analysis of behavior
Xavi Burgos and Pietro Perona (Caltech)
10:45-11:15
Scene Understanding by reasoning functionality and physics
Yibiao Zhao (UCLA)
11:15-12:00
Predicting Visual Memorability
Aude Oliva (MIT)
Session 3: Theories and Models
1:00-1:30
Unsupervised learning of generative image models: theory and applications
Yingnian Wu (UCLA)
1:30-2:00
Mini-Epitomes for Image Labeling and Image Modeling
Alan Yuille (UCLA)
2:00-2:30
Appearance Models
Stuart Geman (Brown)
2:30-3:00
Recent results on Transportability and Missing Data
Elias Barenboin, Karthika Mohan and Judea Pearl (UCLA)
Session 4: Knowledge Representation, Cognition, Reasoning and Queries
3:15-3:45
Simulation for physical scene understanding and social goal inference
Peter Battaglia, Tao Gao, and Josh Tenenbaum (MIT)
3:45-4:15
Crowd engineering and humans-in-the-loop learning
Jia Deng (Stanford)
4:15-4:45
Knowledge representation: ‘dark matters’, minds and dialogues
Song-Chun Zhu (UCLA)
Session 5: Panel Discussion
4:45-5:30
Challenges and Collaboration Plan