CS 7670

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.

Schedule

Date

Presenter

Topic

Papers

Feb 14

Sean Bell

Crowdsourcing

N/A

Feb 21

Kevin Matzen

3D pose-sensitive object detection

S. Fidler, S. Dickinson, R. Urtasun. 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model. NIPS12. [PDF]

Pepik, B.; Stark, M.; Gehler, P.; Schiele, B.; "Teaching 3D geometry to deformable part models," Computer Vision and Pattern Recognition (CVPR), 2012. [PDF]

Feb 28

Andrew Gallagher

Fast interest points

Alahi, R. Ortiz, and P. Vandergheynst. FREAK: Fast Retina Keypoint. In IEEE Conference on Computer Vision and Pattern Recognition, 2012. [PDF]

ORB: an efficient alternative to SIFT or SURF, ICCV 2011, Rublee et al. [PDF]

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

Ebert, Sandra, Mario Fritz, and Bernt Schiele. "RALF: A reinforced active learning formulation for object class recognition." CVPR 2012. [PDF]

Sergey Karayev, Tobias Baumgartner, Mario Fritz, Trevor Darrell. "Timely Object Recognition." NIPS 2012. [Project] [PDF]

Mar 28

Kyle Wilson

Preconditioning in Bundle Adjustment

Jeong et. al, "Pushing the Envelope of Modern Methods for Bundle Adjustment", CVPR 2010. [PDF]

Kushal and Agarwal, Visibility Based Preconditioning for Bundle Adjustment, CVPR 2012. [PDF]

Apr 4

Adarsh Kowdle

Kevin Karsch, Ce Liu, Sing Bing Kang, "Depth Extraction from Video Using Non-parametric Sampling", ECCV 2012. [Project] [PDF]

Apr 11

Apr 18

Amir Sadovnik

Apr 25

Scott Wehrwein

May 2

Song Cao

Academic Integrity

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.