Special Topics in Computer Vision
Spring 2013, Cornell University
Thursdays at 12:30 in Upson 315
Instructor: Noah Snavely (snavely@cs.cornell.edu)
In the past decade computer vision has made incredible progress across the board, in geometry, recognition, image processing, and other areas. In this graduate seminar in computer vision, we will survey and discuss state-of-the-art research papers in this quickly moving field, with a focus on 3D geometry estimation, image matching and retrieval, use of the Internet to gather and annotate data, and scene understanding. This will draw on papers from both computer vision and computer graphics venues.
Date
Presenter
Topic
Papers
Feb 14
Sean Bell
Crowdsourcing
N/A
Feb 21
Kevin Matzen
3D pose-sensitive object detection
Feb 28
Andrew Gallagher
Fast interest points
Mar 7
Yue Gao
Segmentation
From Deformations to Parts: Motion-based Segmentation of 3D Objects. NIPS 2012. Soumya Ghosh, Erik B Sudderth, Matthew Loper, Michael J Black [PDF]
Spatial distance dependent Chinese restaurant processes for image segmentation, NIPS 2011, Soumya Ghosh, Andrei B Ungureanu, Erik B Sudderth, David Blei. [PDF]
Mar 14
Yun Jiang
Reinforcement learning in object recognition
Mar 28
Kyle Wilson
Preconditioning in Bundle Adjustment
Apr 4
Adarsh Kowdle
Apr 11
Apr 18
Amir Sadovnik
Apr 25
Scott Wehrwein
May 2
Song Cao
This course follows the Cornell University Code of Academic Integrity. Each student in this course is expected to abide by the Cornell University Code of Academic Integrity. Any work submitted by a student in this course for academic credit must be the student's own work. Violations of the rules will not be tolerated.