Structured Models in Computer Vision

Time		Presenter(s)	Title
8:30	Workshop Opening
8:35	Keynote Talk	Dan Huttenlocher	Structured Models in Computer Vision
9:35		Nhon Trinh, Benjamin Kimia	Learning Prototypical Shapes for Object Categories
10:05-10:30	-------------- coffee break --------------
10:30	Keynote Talk	Daphne Koller	Structured Probabilistic Models for Holistic Scene Understanding
11:30		Chaitanya Desai, Deva Ramanan, Charless Fowlkes	Discriminative models for static human-object interactions
12:00-14:00	-------------- lunch break --------------
14:00	Keynote Talk	Antonio Torralba	Large scale scene and object recognition
15:00		Vivek Singh, Furqan Khan, Ram Nevatia	Multiple Pose Context Trees for estimating Human Pose in Object Context
15:30-16:00	-------------- coffee break --------------
16:00	Keynote Talk	Thomas Hofmann	Scalable Algorithms for Structured Prediction
17:00		Gary Huang, Erik Learned-Miller	Learning Class-Specific Image Transformations with Higher-Order Boltzmann Machines
17:30	Best Paper Award: V. Singh, F. Khan, R. Nevatia: Multiple Pose Context Trees for estimating Human Pose in Object Context