Martin Kiefel
Martin Kiefel
Applied Scientist, Amazon, Tübingen
在 amazon.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Unite the people: Closing the loop between 3d and 2d human representations
C Lassner, J Romero, M Kiefel, F Bogo, MJ Black, PV Gehler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2522017
Learning sparse high dimensional filters: Image filtering, dense crfs and bilateral neural networks
V Jampani, M Kiefel, PV Gehler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1492016
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance.
PV Gehler, C Rother, M Kiefel, L Zhang, B Schölkopf
NIPS 2, 4, 2011
148*2011
Quasi-Newton Method: A New Direction
P Hennig, M Kiefel
Journal of Machine Learning Research 14 (Mar), 843-865, 2013
982013
Quasi-Newton method: A new direction
P Hennig, M Kiefel
Journal of Machine Learning Research 14 (Mar), 843-865, 2013
982013
Semantic instance annotation of street scenes by 3D to 2D label transfer
J Xie, M Kiefel, MT Sun, A Geiger
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
862016
Superpixel convolutional networks using bilateral inceptions
R Gadde, V Jampani, M Kiefel, D Kappler, PV Gehler
European Conference on Computer Vision, 597-613, 2016
852016
Human pose estimation with fields of parts
M Kiefel, PV Gehler
European Conference on Computer Vision, 331-346, 2014
842014
Permutohedral Lattice CNNs
M Kiefel, V Jampani, PV Gehler
arXiv preprint arXiv:1412.6618, 2014
252014
Learning an event sequence embedding for dense event-based deep stereo
S Tulyakov, F Fleuret, M Kiefel, P Gehler, M Hirsch
Proceedings of the IEEE International Conference on Computer Vision, 1527-1537, 2019
132019
Nonlinear Bayesian estimation with compactly supported wavelets
A Hekler, M Kiefel, UD Hanebeck
Decision and Control (CDC), 2010 49th IEEE Conference on, 5701-5706, 2010
92010
Sparse Convolutional Networks using the Permutohedral Lattice
M Kiefel, V Jampani, PV Gehler
arXiv preprint arXiv:1503.04949, 2015
62015
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
AS Wannenwetsch, M Kiefel, PV Gehler, S Roth
German Conference on Pattern Recognition, 345-359, 2019
22019
Probabilistic Progress Bars
M Kiefel, C Schuler, P Hennig
German Conference on Pattern Recognition, 331-341, 2014
12014
Tractable Structured Prediction using the Permutohedral Lattice
M Kiefel
ETH Zurich, 2017
2017
Barrista: Caffe Well-Served
C Lassner, D Kappler, M Kiefel, P Gehler
Proceedings of the 24th ACM international conference on Multimedia, 1210-1213, 2016
2016
Supplementary materials for paper: Learning an event sequence embedding for dense event-based deep stereo.
S Tulyakov, F Fleuret, M Kiefel, P Gehler, M Hirsch
Supplementary Material for Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
J Xie, M Kiefel, MT Sun, A Geiger
Unite the People: Closing the loop between 3D and 2D Human Representations Supplementary Material
C Lassner, J Romero, M Kiefel, F Bogo, MJ Black, PV Gehler
Supplementary Material for Superpixel Convolutional Networks using Bilateral Inceptions
R Gadde, V Jampani, M Kiefel, D Kappler, PV Gehler
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