ONR MURI 2011-2012 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 2011-2012
Song-Chun Zhu
8:25-8:30
Comments from ONR
Behzad Kamghar-Parsi
Session 2: Object, Scene and Action Recognition
8:30-9:00
Large-scale learning of 3D object models
Deva Ramanan (UC Irvine)
9:00-9:30
Detecting and annotating 3D objects in scenes and panoramas
Antonio Torralba (MIT)
9:30-10:00
Rich and scalable models for scene understanding
Michael Stark and Daphne Koller (Stanford)
10:15-10:45
Pose and Actions in Behavior Analysis
Pietro Perona (Caltech)
10:45-11:15
Human Activity Recognition
Li Fei-Fei (Stanford)
11:15-11:45
The three R’s of Computer Vision: Recognition, Reconstruction and Reorganization
Jitendra Malik (UC Berkeley)
Session 3: Learning, Inference and Evaluation
1:00-1:30
Compositional Models
Alan Yuille (UCLA)
1:30-2:00
Learning Compositional Patterns in Sparse Representation
Yingnian Wu (UCLA)
2:00-2:30
A Restricted Turing Test
Stuart Geman (Brown)
Session 4: Knowledge Representation, Causality and Reasoning
2:45-3:15
Modeling intuitive physics and intuitive psychology for richer scene understanding
Josh Tenenbaum (MIT)
3:15-3:45
Generalizability in Causal Inference
Elias Barenboin and Judea Pearl (UCLA)
4:45-4:15
Knowledge Representation and inference by Spatial, Temporal, and Causal AOGs
Song-Chun Zhu (UCLA)
Session 5: Panel Discussion
4:30-5:00
Challenges and Collaboration Plan