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Block-Seminar "Machine Learning for Computer Vision"

Language

English

Termine und Informationen

Themen

Das Blockseminar wird Artikel der Machine Learning Methoden fuer die Aufgaben in Computer Vision besprechen.

• image representations including higher-order features and attributes
• object and scene categorization
• object detection and localization
• image segmentation
• large margin classifiers including multiple kernel learning
• conditional random fields and topic models
• learning (with) taxonomies
• active learning and user feedback

Paper Assignments

Literatur und Links

object and scene categorization

G. Csurka, C. Bray, C. Dance, and L. Fan, “Visual categorization with bags of keypoints,”in Workshop on Statistical Learning in Computer Vision, ECCV, Prague, Czech Republic, May 2004, pp. 1–22.
http://www.cs.utexas.edu/~grauman/courses/spring2007/395T/papers/csurka_dance_bags_keypoints.pdf
Betreuer: NN

S. Lazebnik, C. Schmid, and J. Ponce, “Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories,” in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, New York, USA, June 2006, pp. 2169–2178.
http://people.cs.ubc.ca/~lowe/525/lazebnik06.pdf
Betreuer: NN

M. Varma and D. Ray, “Learning the discriminative power-invariance trade-off,” in Proceedings of the IEEE 11th International Conference on Computer Vision (ICCV ’07), 2007, pp. 1–8.
http://dx.doi.org/10.1109/ICCV.2007.4408875
Betreuer: NN

P. Gehler and S. Nowozin, "On Feature Combination for Multiclass Object Classification", ICCV 2009.
ftp://ftp.vision.ee.ethz.ch/publications/proceedings/eth_biwi_00649.pdf
Betreuer: NN

image representations including higher-order features and attributes

D. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints", IJCV 2004.
http://people.cs.ubc.ca/~lowe/papers/ijcv04.pdf
Betreuer: NN

Moosmann, Triggs and Jurie, "Fast Discriminative Visual Codebooks using Randomized Clustering Forests", NIPS 2006.
http://books.nips.cc/papers/files/nips19/NIPS2006_0741.pdf
Betreuer: NN

Wei Zhang, Akshat Surve, Xiaoli Fern and Thomas Dietterich, "Learning Non-Redundant Codebooks for Classifying Complex Objects", ICML 2009.
http://www.cs.mcgill.ca/~icml2009/papers/525.pdf
Betreuer: NN

object detection and localization

P. Viola and M. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features", 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01), vol.1, pp. 511, 2001.
http://www.robots.ox.ac.uk/~cvrg/trinity2002/CVPR-2001.pdf
Betreuer: NN

M. B. Blaschko and C. H. Lampert, "Learning to Localize Objects with Structured Output Regression", Computer Vision: ECCV 2008, 2-15.
http://www.kyb.mpg.de/publications/attachments/ECCV2008-Blaschko_5247%5B0%5D.pdf
Betreuer: NN

Torralba, A., Murphy, K. and Freeman, W., "Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection", CVPR 2004
http://people.cs.ubc.ca/~murphyk/Papers/jointBoostCVPR04_camera.pdf
Betreuer: NN

Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester and Deva Ramanan, "Object Detection with Discriminatively Trained Part Based Models", PAMI 2009.
http://people.cs.uchicago.edu/~rbg/papers/Object-Detection-with-Discriminatively-Trained-Part-Based-Models--Felzenszwalb-Girshick-McAllester-Ramanan.pdf
Betreuer: NN

image segmentation

J. Shi and J. Malik, "Normalized Cuts and Image Segmentation", IEEE Transactions on Pattern Analysis and Machine Intel ligence, 22(8):888–905, August 2000.
http://people.csail.mit.edu/torralba/courses/6.870/papers/shi00.pdf
Betreuer: NN

A. Kannan, J. Winn, and C. Rother, "Clustering appearance and shape by learning jigsaws", NIPS 2006.
http://books.nips.cc/papers/files/nips19/NIPS2006_0909.pdf
Betreuer: NN

large margin classifiers including multiple kernel learning

G. R. G. Lanckriet, N. Cristianini, P. Bartlett, L. El Ghaoui, and M. I. Jordan, "Learning the kernel matrix with semidefinite programming", JMLR, 5:27–72, 2004.
http://jmlr.csail.mit.edu/papers/volume5/lanckriet04a/lanckriet04a.pdf
Betreuer: NN

S Andrews, I Tsochantaridis, T Hofmann, "Support vector machines for multiple-instance learning", NIPS 2003.
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.86.8281&rep=rep1&type=pdf
Betreuer: NN

multi-task/transfer?

conditional random fields and topic models

X. He, R. S. Zemel and M. A. Carreira-Perpinan, CVPR 2004. "Multiscale Conditional Random Fields for Image Labeling",
http://www.cs.utexas.edu/~grauman/courses/spring2007/395T/papers/he_zemel_multiscale_crfs_cvpr04.pdf
Betreuer: NN

A.Bosch, A.Zisserman, X.Muñoz. Scene classification using a hybrid generative/discriminative approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 30, Issue 4, pp.712-727, April 2008.
http://eia.udg.es/~aboschr/Publicacions/pami.pdf
Betreuer: NN

L. Cao and L. Fei-Fei, “Spatially coherent latent topic model for concurrent object segmentation and classification,” in Proceedings of the 11th IEEE International Conference on Computer Vision (ICCV '07), Rio de Janeiro, Brazil, October 2007.
http://vision.cs.princeton.edu/documents/CaoFei-Fei_ICCV2007.pdf
Betreuer: NN

J Winn and J Shotton, "The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects", CVPR 2006.
ftp://mi.eng.cam.ac.uk/pub/reports/shotton_cvpr06.pdf
Betreuer: NN

J Reynolds and K Murphy, "Figure-ground segmentation using a hierarchical conditional random field", Computer and Robot Vision, CRV 2007.
http://people.cs.ubc.ca/~murphyk/Papers/reynoldsCRV07.pdf
Betreuer: NN

learning (with) taxonomies

Griffin, G., Perona, P., "Learning and using taxonomies for fast visual categoriza- tion", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
http://www.cs.ualberta.ca/~jag/papersVis2/08cvpr/data/papers/070.pdf
Betreuer: NN

active learning and user feedback

other topics

Derek Hoiem, Alexei A. Efros, Martial Hebert, "Putting Objects in Perspective", Int J Comput Vis (2008) 80: 3–15.
http://www.cs.cmu.edu/~efros/hoiem_ijcv2008.pdf
Betreuer: NN

A Saxena, SH Chung, AY Ng, "3-D Depth Reconstruction from a Single Still Image", Int J Comput Vis (2008) 76: 53–69.
http://www-cs.stanford.edu/people/asaxena/learningdepth/saxena_ijcv07_learningdepth.pdf
Betreuer: NN