Eddy Ilg
Eddy Ilg
Facebook Reality Labs
Verified email at eddy-ilg.net - Homepage
Title
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Cited by
Year
Flownet: Learning optical flow with convolutional networks
A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ...
Proceedings of the IEEE International Conference on Computer Vision, 2758-2766, 2015
2142*2015
Flownet 2.0: Evolution of optical flow estimation with deep networks
E Ilg, N Mayer, T Saikia, M Keuper, A Dosovitskiy, T Brox
IEEE conference on computer vision and pattern recognition (CVPR) 2, 6, 2017
14332017
A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
N Mayer, E Ilg, P Hausser, P Fischer, D Cremers, A Dosovitskiy, T Brox
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
10642016
Demon: Depth and motion network for learning monocular stereo
B Ummenhofer, H Zhou, J Uhrig, N Mayer, E Ilg, A Dosovitskiy, T Brox
IEEE Conference on computer vision and pattern recognition (CVPR) 5, 6, 2017
3942017
Lucid Data Dreaming for Multiple Object Tracking
A Khoreva, R Benenson, E Ilg, T Brox, B Schiele
arXiv preprint arXiv:1703.09554, 2017
151*2017
Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation
E Ilg, T Saikia, M Keuper, T Brox
European Conference on Computer Vision (ECCV), 2018
912018
What makes good synthetic training data for learning disparity and optical flow estimation?
N Mayer, E Ilg, P Fischer, C Hazirbas, D Cremers, A Dosovitskiy, T Brox
International Journal of Computer Vision, 1-19, 2018
912018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
E Ilg, O Ciçek, S Galesso, A Klein, O Makansi, F Hutter, T Brox
European Conference on Computer Vision (ECCV), 2018
66*2018
Overcoming limitations of mixture density networks: A sampling and fitting framework for multimodal future prediction
O Makansi, E Ilg, O Cicek, T Brox
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
422019
End-to-end learning of video super-resolution with motion compensation
O Makansi, E Ilg, T Brox
German Conference on Pattern Recognition, 203-214, 2017
392017
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
R Chabra, JE Lenssen, E Ilg, T Schmidt, J Straub, S Lovegrove, ...
arXiv preprint arXiv:2003.10983, 2020
132020
Reconstruction of rigid body models from motion distorted laser range data using optical flow
E Ilg, R Ku, W Burgard, T Brox
Robotics and Automation (ICRA), 2014 IEEE International Conference on, 4627-4632, 2014
112014
FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images
O Makansi, E Ilg, T Brox
arXiv preprint arXiv:1808.06389, 2018
32018
TLIO: Tight Learned Inertial Odometry
W Liu, D Caruso, E Ilg, J Dong, A Mourikis, K Daniilidis, V Kumar, J Engel, ...
IEEE Robotics and Automation Letters, 2020
22020
Domain Adaptation of Learned Features for Visual Localization
S Baik, HJ Kim, T Shen, E Ilg, KM Lee, C Sweeney
arXiv preprint arXiv:2008.09310, 2020
2020
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Articles 1–15