Christoph H. Lampert
TítuloCitado porAño
Learning to detect unseen object classes by between-class attribute transfer
CH Lampert, H Nickisch, S Harmeling
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 951-958, 2009
15932009
Beyond sliding windows: Object localization by efficient subwindow search
CH Lampert, MB Blaschko, T Hofmann
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2008
8902008
Attribute-Based Classification for Zero-Shot Visual Object Categorization
CH Lampert, H Nickisch, S Harmeling
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 453 …, 2014
8122014
Efficient subwindow search: A branch and bound framework for object localization
CH Lampert, MB Blaschko, T Hofmann
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 31 …, 2009
4332009
Learning to localize objects with structured output regression
M Blaschko, CH Lampert
European Conference on Computer Vision (ECCV), 2008
3712008
Structured learning and prediction in computer vision
S Nowozin, CH Lampert
Foundations and Trends in Computer Graphics and Vision 6 (3-4), 2011
3302011
iCaRL: Incremental Classifier and Representation Learning
SA Rebuffi, A Kolesnikov, G Sperl, CH Lampert
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
2842017
Zero-shot learning-A comprehensive evaluation of the good, the bad and the ugly
Y Xian, CH Lampert, B Schiele, Z Akata
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
2332018
Unsupervised object discovery: A comparison
T Tuytelaars, CH Lampert, MB Blaschko, W Buntine
International Journal of Computer Vision 88 (2), 284-302, 2010
2172010
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
A Kolesnikov, CH Lampert
European Conference on Computer Vision (ECCV), 2016
2082016
Correlational spectral clustering
MB Blaschko, CH Lampert
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
1982008
Learning to Rank Using Privileged Information
V Sharmanska, N Quadrianto, CH Lampert
International Conference on Computer Vision (ICCV), 2013
1502013
Movement templates for learning of hitting and batting
J Kober, K Mülling, O Kromer, CH Lampert, B Schölkopf, J Peters
Robotics and Automation (ICRA), 2010 IEEE International Conference on, 853-858, 2010
1362010
Global connectivity potentials for random field models
S Nowozin, CH Lampert
2009 IEEE Conference on Computer Vision and Pattern Recognition, 818-825, 2009
1182009
Learning Multi-View Neighborhood Preserving Projections
N Quadrianto, CH Lampert
International Conference on Machine Learning, 2011
1072011
Document image dewarping using robust estimation of curled text lines
A Ulges, CH Lampert, TM Breuel
Eighth International Conference on Document Analysis and Recognition (ICDAR …, 2005
1072005
On parameter learning in CRF-based approaches to object class image segmentation
S Nowozin, P Gehler, C Lampert
European Conference on Computer Vision, 2010. ECCV 2010, 98-111, 2010
1032010
Curriculum Learning of Multiple Tasks
A Pentina, V Sharmanska, CH Lampert
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
1022015
Kernel methods in computer vision
CH Lampert
Foundations and Trends® in Computer Graphics and Vision 4 (3), 193-285, 2009
992009
Augmented Attribute Representations
V Sharmanska, N Quadrianto, CH Lampert
European Conference on Computer Vision (ECCV), 2012
902012
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20