Special Topics in Computer Vision
Spring 2014, Cornell University
Instructor: Noah Snavely (snavely@cs.cornell.edu)
Organizer: Kevin Matzen (kmatzen@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
Slides
Feb 6
Kevin Matzen
Geo-referenced 3D Reconstruction
B. Klingner, D. Martin, and J. Roseborough. Street View Motion-from-Structure-from-Motion. ICCV 2013. [Project][PDF]
R. Diaz, S. Hallman, C. Fowlkes. Detecting Dynamic Objects with Multi-View Background Subtraction. ICCV 2013. [PDF]
[PDF]
Feb 13
Amir Sadovnik
Attributes
V. Ordonez, J. Deng, Y. Choi, A.C. Berg, T.L. Berg. From Large Scale Image Categorization to Entry-Level Categories. ICCV 2013. (Best paper award) [Project][PDF]
N. Turakhia, D. Parikh. Attribute Dominance: What Pops Out? ICCV 2013. [Project][PDF]
Feb 20
Sean Bell
Automatic Hyperparameter Selection
J. Snoek, H. Larochelle, and R.P. Adams. Practical Bayesian Optimization of Machine Learning Algorithms. NIPS 2012. [PDF]
J. Snoek, K. Swersky, R. Zemel, R.P. Adams. Input Warping for Bayesian Optimization of Non-stationary Functions. NIPS - Workshop on Bayesian Optimization 2013. [PDF]
Feb 27
Paul Upchurch
Material and texture recognition
L. Sharan, C. Liu, R. Rosenholtz, E.H. Adelson. Recognizing Materials Using Perceptually Inspired Features. CVPR 2010 & IJCV 2013. [CVPR Project][CVPR PDF][IJCV PDF]
X. Qi, R. Xiao, J. Guo, L. Zhang. Pairwise Rotation Invariant Co-occurrence Local Binary Pattern. ECCV 2012. [Project][PDF]
[PDF]
March 13
Song Cao
Object Detection and Recognition
J.R.R. Uijlings, K.E.A. van de Sande, T. Gevers, A.W.M. Smeulders, "Selective Search for Object Recognition", In International Journal of Computer Vision, 2013. [PDF]
Girshick, Ross, Jeff Donahue, Trevor Darrell, and Jitendra Malik. "Rich feature hierarchies for accurate object detection and semantic segmentation." arXiv preprint arXiv:1311.2524 (2013). [url] [pdf]
[PDF]
March 20
Kyle Wilson
Approximate Nearest Neighbors
Yannis Avrithis. Quantize and Conquer: A dimensionality-recursive solution to clustering, vector quantization, and image retrieval. ICCV 2013. [PDF]
Dror Aiger, Efi Kokiopoulou, Ehud Rivlin. Random Grids: Fast Approximate Nearest Neighbors and Range Searching for Image Search. ICCV 2013. [PDF]
[Coming Soon]
March 27
Kevin Matzen
Deep Learning for Vision
Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf. DeepFace: Closing the Gap to Human-Level Performance in Face Verification. CVPR 2014. [Project][PDF]
Alexander Toshev, Christian Szegedy. DeepPose: Human Pose Estimation via Deep Neural Networks. CVPR 2014. [arxiv][PDF]
[PDF]
April 10
Scott Wehrwein
Photometric Stereo
Jens Ackermann, Fabian Langguth, Simon Fuhrmann, and Michael Goesele. Photometric Stereo for Outdoor Webcams. CVPR 2012. [Project][PDF]
Austin Abrams, Christopher Hawley, and Robert Pless. Heliometric Stereo: Shape from Sun Position. ECCV 2012. [Project][PDF]
[Coming Soon]
April 17
Daniel Cabrini Hauagge
Mid-level Patches
Y.J. Lee, A.A. Efros, M. Hebert. Style-aware Mid-level Representation for Discovering Visual Connections in Space and Time. ICCV 2013. [Project][PDF]
M. Juneja, A. Vedaldi, C.V. Jawahar, A. Zisserman. Blocks that Shout: Distinctive Parts for Scene Classification. CVPR 2013. [PDF]
[Coming Soon]
April 24
Ivo Boyadzhiev
G. Wetzstein, D. Roodnick, W. Heidrich, R. Raskar. Refractive Shape from Light Field Distortion. ICCV 2011. [PDF]
Q. Shan, S. Agarwal, B. Curless. Refractive Height Fields from Single and Multiple Images. CVPR 2012. [PDF]
[Coming Soon]
April 30
Yue Gao
Wei-Chen Chiu, Mario Fritz. Multi-Class Video Co-Segmentation with a Generative Multi-Video Model. CVPR 2013. [PDF]
Huazhu Fu, Dong Xu, Bao Zhang, Stephen Lin. Object-based Multiple Foreground Video Co-segmentation. CVPR 2014. [PDF]
[Coming Soon]
May 7
Kevin Matzen
A. Owens, C. Barnes, A. Flint, H. Singh, and W. Freeman. Camouflaging an Object from Many Viewpoints. CVPR 2014. [PDF]
S.K. Divvala, A. Farhadi, and C. Guestrin. Learning Everything about Anything: Webly-Supervised Visual Concept Learning. CVPR 2014. [PDF]
[Coming Soon]
May 14
Anshumali Shrivastava
T. Dean, M.A. Ruzon, M. Segal, J. Shlens, S. Vijayanarasimhan, J. Yagnik. Fast, Accurate Detection of 100,000 Object Classes on a Single Machine. CVPR 2013. [Project][PDF]
F. Li, G. Lebanon, C. Sminchisescu. A Linear Approximation to the X^2 Kernel with Geometric Convergence. [PDF]
[Coming Soon]
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.