Computer Vision Reading Group

[ Meeting Schedule | Proposed Papers | Previous Discussions | Participants ]

We read and discuss papers in the areas of computer vision and machine learning.

Regular Meeting Time & Place

The Computer Vision reading group will meet in ACES 5.444, 4:00pm-5:00pm on every other Thursday.

Next Scheduled Meetings

Date	Time	Place	agenda
09/11/2008	4:00PM	ACES 5.444	A. Gupta and L. Davis. Beyond nouns: Exploiting prepositions and comparators for learning visual classifiers, ECCV 2008.

Past Meetings

Date	Time	Place	agenda
08/20/2008	3:00PM	ACES 5.116	M. Maire, P. Arbelaez. C. Fowlkes, and J. Malik. Using Contours to Detect and Localize Junctions in Natural Images, CVPR 2008.
08/06/2008	3:00PM	ACES 5.116	J. Hays and A. Efros. IM2GPS: estimating geographic information from a single image, CVPR 2008.
07/23/2008	3:00PM	ACES 5.116	J. Shotton, M. Johnson, and R. Cipolla. Semantic Texton Forests for Image Categorization and Segmentation, CVPR 2008.
07/09/2008	4:15PM	ACES 5.116	C. Lampert, M. Blaschko, and T. Hofmann. Beyond Sliding Windows: Object Localization by Efficient Subwindow Search, CVPR 2008.
05/28/2008	3:00PM	ACES 5.116	P. Felzenszwalb, D. McAllester, and D. Ramanan. A Discriminatively Trained, Multiscale, Deformable Part Model, CVPR 2008.
04/23/2008	3:00PM	ACES 5.116	S. Wong and R. Cipolla. Extracting Spatiotemporal Interest Points using Global Information, ICCV 2007.
04/09/2008	3:00PM	ACES 5.116	D. Mackay. Introduction to Monte Carlo Methods C. Andrieu, N. De Freitas, A. Doucet, and M. Jordan. An Introduction to MCMC for Machine Learning, Machine Learning 2003. Z. Khan, T. Balch, and F. Dellaert. An MCMC-based Particle Filter for Tracking Multiple Interacting Targets, ECCV 2004.
03/26/2008	3:00PM	ACES 5.116	Tutorial on Markov Chain Monte Carlo
03/12/2008	3:00PM	ACES 5.116	P. Jain, B. Kulis, and K. Grauman. Fast Image Search for Learned Metrics, CVPR 2008.
02/27/2008	3:00PM	ACES 5.116	J. Verbeek and B. Triggs. Scene Segmentation with CRFs Learned from Partially Labeled Images, NIPS 2008.
02/13/2008	3:00PM	ACES 5.116	O. Boiman and M. Irani. Detecting Irregularities in Images and in Video, Accepted to IJCV 2008.
01/30/2008	3:00PM	ACES 3.116	A.N. Stein, D. Hoiem, and M. Hebert. Learning to Extract Object Boundaries using Motion Cues, ICCV 2007.
11/19/2007	4:30PM	ACES 5.116	T. Quack, V. Ferrari, B. Leibe, and L. Van Gool. Efficient Mining of Frequent and Distinctive Feature Configurations, ICCV 2007.
11/05/2007	4:30PM	ACES 5.116	A. Rabinovich, A. Vedaldi, C. Galleguillos, E. Wiewiora, S. Belongie. Objects in Context, ICCV 2007.
10/22/2007	4:30PM	ACES 5.116	R. Bekkerman and J. Jeon. Multi-modal Clustering for Multimedia Collections, CVPR 2007.
10/08/2007	4:30PM	ACES 5.116	A. Frome, Y. Singer, F. Sha, J. Malik. Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification, ICCV 2007.
09/24/2007	4:30PM	ACES 5.116	M. Marszałek and C. Schmid, Semantic Hierarchies for Visual Object Recognition, CVPR 2007.
09/10/2007	4:30PM	ACES 2.444	M. Leordeanu, M. Hebert, R. Sukthankar, Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features, CVPR 2007.

Currently Proposed Papers

A.I. Comport, E. Malis and P. Rives.
Accurate Quadrifocal Tracking for Robust 3D Visual Odometry, ICRA 2007.
Lu, Z. and Carreira-Perpinan, M.A. and Sminchisescu, C.
People Tracking with the Laplacian Eigenmaps Latent Variable Model, NIPS 2007.
Settles, B. and Craven, M. and Ray, S.
Multiple-Instance Active Learning, NIPS 2007.
Li-Jia Li, Li Fei-Fei
What, where and who? Classifying events by scene and object recognition, ICCV 2007.
Blei, D.M. and McAuliffe, J.D.
Supervised topic models, NIPS 2007.
Komodakis, N. and Tziritas, G.
Approximate Labeling via Graph Cuts Based on Linear Programming, PAMI 2007.
Hays, J. and Efros, A.A.
Scene completion using millions of photographs, SIGGRAPH 2007.
Y. Pritch, A. Rav-Acha, and S. Peleg
Non-Chronological Video Synopsis and Indexing, PAMI, to appear Nov. 2008.
Hui Fang and John C. Hart
Detail Preserving Shape Deformation in Image Editing, SIGGRAPH 2007.
X. Wang, E. Grimson
Spatial Latent Dirichlet Allocation, NIPS 2007.
Tiberio Caetano, Li Cheng, Quoc Le, Alex Smola
Learning Graph Matching, ICCV 2007.
Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, and Gökhan Bakir
Weighted Substructure Mining for Image Analysis, CVPR 2007.
Friedrich Fraundorfer, Henrik Stewénius, and David Nistér
A Binning Scheme for Fast Hard Drive Based Image Search, CVPR 2007.
J. J. Kivinen, E. B. Sudderth, and M. I. Jordan
Learning multiscale representations of natural scenes using Dirichlet processes, ICCV 2007.
B. Leibe, N. Cornelis, K. Cornelis, and L. Van Gool,
Dynamic 3D Scene Analysis from a Moving Vehicle , CVPR 2007.
R. Urtasun and T. Darrell,
Discriminative Gaussian Process Latent Variable Models for Classification, ICML 2007.
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer and Andrew Y. Ng,
Self-taught learning: Transfer learning from unlabeled data, ICML 2007.
Noah Snavely, Steven M. Seitz, Richard Szeliski,
Photo tourism: Exploring photo collections in 3D, SIGGRAPH 2006.
Alexander C. Berg, Tamara L. Berg, Jitendra Malik,
Shape Matching and Object Recognition using Low Distortion Correspondence, CVPR 2005.
Kobus Barnard, Pinar Duygulu, Nando de Freitas, David Forsyth, David Blei, and Michael I. Jordan,
Matching Words and Pictures, JMLR 2003.
Ying-li Tian, Member, Takeo Kanade, and Jeffrey F. Cohn ,
Recognizing action units for facial expression analysis, PAMI, 2001.

Current Participants

Prof. Kristen Grauman
Yong Jae Lee
Tuyen Huynh
Prateek Jain
JaeChul Kim
Harshdeep Singh
Andrew Dreher
Srivatsan Ramanujam
Sudheendra Vijayanarasimhan
Matt Riley
Xin Sui
Josh Harguess
Sonal Gupta