Christoph H. Lampert

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Matthew BlaschkoKU LeuvenVerified email at esat.kuleuven.be
Alexander A. KolesnikovGoogle Research, Brain team.Verified email at google.com
Sebastian NowozinPartner Research Manager, Machine Intelligence, Microsoft Research (Cambridge, UK)Verified email at microsoft.com
Stefan HarmelingProfessor at Heinrich-Heine-Universität DüsseldorfVerified email at hhu.de
Hannes NickischSenior Scientist at Philips ResearchVerified email at philips.com
Thomas BreuelResearcher, NVIDIA Inc.Verified email at 9x9.com
Novi QuadriantoReader in Machine Learning, Predictive Analytics Lab (WeArePAL), University of SussexVerified email at sussex.ac.uk
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Anastasia PentinaBayer AGVerified email at bayer.com
Viktoriia SharmanskaImperial College Research FellowVerified email at imperial.ac.uk
Thomas HofmannProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Oliver KroemerCarnegie Mellon University - The Robotics InstituteVerified email at andrew.cmu.edu
Sylvestre-Alvise RebuffiDeepMindVerified email at deepmind.com
Georg SperlPhD Student, IST AustriaVerified email at ist.ac.at
Yongqin XianPostDoc, ETH ZurichVerified email at vision.ee.ethz.ch
Zeynep AkataProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Vladimir KolmogorovIST AustriaVerified email at ist.ac.at
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Nikola KonstantinovPhD Student, Institute of Science and Technology Austria (IST Austria)Verified email at ist.ac.at

Christoph H. Lampert

Professor at IST Austria

Verified email at ist.ac.at - Homepage

Transfer Learning Lifelong Machine Learning Trustworthy Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2252	2009
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	1378	2014
iCaRL: Incremental Classifier and Representation Learning SA Rebuffi, A Kolesnikov, G Sperl, CH Lampert IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017	1221	2017
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	987	2008
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	839	2018
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation A Kolesnikov, CH Lampert European Conference on Computer Vision (ECCV), 2016	495	2016
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	487	2009
Learning to localize objects with structured output regression M Blaschko, CH Lampert European Conference on Computer Vision (ECCV), 2008	437	2008
Structured learning and prediction in computer vision S Nowozin, CH Lampert Foundations and Trends in Computer Graphics and Vision 6 (3-4), 2011	411	2011
Unsupervised object discovery: A comparison T Tuytelaars, CH Lampert, MB Blaschko, W Buntine International Journal of Computer Vision 88 (2), 284-302, 2010	240	2010
Correlational spectral clustering MB Blaschko, CH Lampert 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	236	2008
Learning to Rank Using Privileged Information V Sharmanska, N Quadrianto, CH Lampert International Conference on Computer Vision (ICCV), 2013	197	2013
Curriculum Learning of Multiple Tasks A Pentina, V Sharmanska, CH Lampert IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015	191	2015
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	170	2010
A PAC-Bayesian Bound for Lifelong Learning A Pentina, CH Lampert International Conference on Machine Learning (ICML), 2014	141	2014
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	138	2005
Global connectivity potentials for random field models S Nowozin, CH Lampert 2009 IEEE Conference on Computer Vision and Pattern Recognition, 818-825, 2009	133	2009
Learning Multi-View Neighborhood Preserving Projections N Quadrianto, CH Lampert International Conference on Machine Learning, 2011	128	2011
Kernel methods in computer vision CH Lampert Foundations and Trends® in Computer Graphics and Vision 4 (3), 193-285, 2009	124	2009
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	115	2010

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