Schedule

Time Speaker Topic
  9:00 Workshop Opening
  9:05-  9:30 Brian Kulis "An Introduction to Distance Learning" (PDF)
  9:35-10:00 Tomasz Malisiewicz Invited talk: "Per-exemplar learning: Object Detection and Beyond" (PDF)
10:05-10:30 Deva Ramanan Invited Talk: "Local Distance Functions:
Some Thoughts and Experiments" (PDF)
10:35-11:00 coffee break
11:05-11:30 Fernando de la Torre Invited Talk: "Metric Learning for Image Alignment" (PDF)
11:35-12:00 Ahmed Elgammal "Towards Smooth Encoding of Local Features and Their Spatial Arrangement"
12:05-13:30 lunch break and discussions
13:30-14:30 poster session
14:30-14:55 Peter Gehler "An Introduction to Kernel Learning" (PDF)
15:00-15:25 Andrea Vedaldi Invited Talk: "Heavy Lifting with Kernels:
Efficient Linear Embeddings" (PDF)
15:30-15:55 Dhruv Batra, Gregory Shakhnarovich "Similarity Sensitive Nonlinear Embeddings"
16:00-16:25 Tinne Tuytelaars Invited Talk
16:30 Closing Remarks and Discussion


Invited Speakers

The "kernel speakers" list:

The "distance speakers" list: