Computer Vision Presentations
My Research:
- Slides related to my ICCV2011 Exemplar-SVM paper
Ensemble of Exemplar-SVMs for Object Detection and Beyond - Slides to a talk about my NIPS 2009 paper
Beyond Categories: The Visual Memex Model - A talk about my CVPR2008 paper given at the CMU VASC Seminar Recognition by Association: Ask not "What is this?" but "What is it like?"
- Here are the slides to the talk that I gave at BMVC2007 Improving Spatial Support for Objects via Multiple Segmentations
Other presentations:
- Here is another presentation for CMU's Computer Vision 'Misc-Read' reading group. The first half of the presentation was dedicated to Supervised Distance Metric Learning and the second half focuses on Andrea Frome's NIPS 2006 paper, "Image Retrieval and Classification Using Local Distance Functions." supervised metric learning
- Here is a presentation for CMU's Computer Vision 'Misc-Read' reading group. It is about John Winn's Layout Conditional Random Field for Segmenting and Detecting Partially Occluded Objects. layout conditional random field
- Here is a short presentation against Window-Scanning approaches in Computer Vision. Opposition to Window Scanning in Vision
- Here is a talk on Data-Driven Markov Chain Monte Carlo for Image Segmentation. This is a really cool way of searching through the space of all image segmentations. DD-MCMC
- For the Advanced Perception Class, I gave a talk on applying LDA-like bayesian hierarchical models for scene classification and applying pLSA for object discovery. pLSA and LDA applied to images
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