ONR MURI 2010-2011 Annual Meeting on
Knowledge Representation, Reasoning and Learning for Understanding Scenes and Events
Session 1: Overview
8:30-8:45
Report on the Project Progress in 2010-2011
Song-Chun Zhu
8:45-9:00
Comments from ONR
Behzad Kamghar-Parsi
Session 2: Recognition
9:00-9:30
Detecting Human and Poses: What Have We Learned?
Deva Ramanan (UC Irvine)
9:30-10:00
Parsing Humans and Vehicles in Real World Applications
Brandon Rothrock and Benjamin Yao (UCLA)
10:00-10:30
Large-Scale Object Recognition
Jia Deng and Li Fei-Fei (Stanford)
10:30-10:45
Coffee break
10:45-11:15
Recovering Shape and Albedo from a Single Image and Impact to Object Recognition
Jitendra Malik (UC Berkeley)
Session 3: Representation, learning and Inference
11:15-11:45
Towards a Computational Approach to the Study of Behavior
Pietro Perona (Caltech)
11:45-12:15
Unsupervised and Weakly-Supervised Learning of Object Models
Alan Yuille (UCLA)
12:00-1:15
Lunch Break
1:15-1:45
Coarse and Fine: Practical Models for Pixels
Hoy Loper and Stuart Geman (Brown)
1:45-2:15
Recognition Across Different Visual Domains
Tomasz Malisiewicz and Antonio Torralba (MIT)
2:15-2:45
Intuitive Mechanics in Visual Reasoning
Peter Battaglia and Josh Tenenbaum (MIT)
Session 4: Knowledge Representation, Causality and Reasoning
2:45-3:15
Learning Higher-Level Representations with Latent Variables Using Ideas from Human Learning
Daphne Koller (Stanford)
3:15-3:45
Learning and Inferring Causality from Video
Amy Morrow and Song-Chun Zhu (UCLA)
4:45-4:15
Recent advances in Causal Reasoning from Mediation and Selection Bias to Transfer Learning and Meta Analysis
Judea Pearl (UCLA)
4:25-4:40
Coffee break
Session 5: Panel Discussion
4:40-5:20
Challenges and Collaboration Plan