![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Eddy Ilg
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j4]Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg:
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes. Comput. Graph. Forum 43(2): i-iii (2024) - [c16]Cameron Braunstein, Eddy Ilg, Vladislav Golyanik:
Quantum-Hybrid Stereo Matching With Nonlinear Regularization and Spatial Pyramids. 3DV 2024: 1340-1349 - [i28]Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg:
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes. CoRR abs/2403.15064 (2024) - [i27]Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen:
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction. CoRR abs/2403.16292 (2024) - [i26]Jonas Kälble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg:
Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory. CoRR abs/2405.10575 (2024) - [i25]Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg:
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. CoRR abs/2405.14599 (2024) - [i24]Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski:
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos. CoRR abs/2407.04384 (2024) - [i23]Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg:
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. CoRR abs/2407.09271 (2024) - 2023
- [c15]Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen:
SimNP: Learning Self-Similarity Priors Between Neural Points. ICCV 2023: 8807-8818 - [i22]Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen:
SimNP: Learning Self-Similarity Priors Between Neural Points. CoRR abs/2309.03809 (2023) - [i21]Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen:
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction. CoRR abs/2312.01196 (2023) - [i20]Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox:
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation. CoRR abs/2312.14124 (2023) - [i19]Cameron Braunstein, Eddy Ilg, Vladislav Golyanik:
Quantum-Hybrid Stereo Matching With Nonlinear Regularization and Spatial Pyramids. CoRR abs/2312.16118 (2023) - 2022
- [c14]Tony Ng, Hyo Jin Kim, Vincent T. Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, Chris Sweeney:
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning. CVPR 2022: 12787-12797 - [c13]Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. NeurIPS 2022 - [i18]Samir Aroudj, Steven Lovegrove, Eddy Ilg, Tanner Schmidt, Michael Goesele, Richard A. Newcombe:
ERF: Explicit Radiance Field Reconstruction From Scratch. CoRR abs/2203.00051 (2022) - [i17]Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao
, Kai Zhang
, Radu Timofte
, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. CoRR abs/2206.02146 (2022) - 2021
- [c12]Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg:
Mitigating Reverse Engineering Attacks on Local Feature Descriptors. BMVC 2021: 106 - [i16]Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg:
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors. CoRR abs/2105.03812 (2021) - [i15]Tony Ng, Hyo Jin Kim, Vincent T. Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, Chris Sweeney:
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning. CoRR abs/2112.12785 (2021) - 2020
- [j3]Wenxin Liu
, David Caruso, Eddy Ilg, Jing Dong, Anastasios I. Mourikis, Kostas Daniilidis
, Vijay Kumar
, Jakob Engel:
TLIO: Tight Learned Inertial Odometry. IEEE Robotics Autom. Lett. 5(4): 5653-5660 (2020) - [c11]Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Christopher Sweeney:
Domain Adaptation of Learned Featuresfor Visual Localization. BMVC 2020 - [c10]Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. ECCV (29) 2020: 608-625 - [i14]Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. CoRR abs/2003.10983 (2020) - [i13]Wenxin Liu, David Caruso, Eddy Ilg, Jing Dong, Anastasios I. Mourikis, Kostas Daniilidis, Vijay Kumar, Jakob Engel:
TLIO: Tight Learned Inertial Odometry. CoRR abs/2007.01867 (2020) - [i12]Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Chris Sweeney:
Domain Adaptation of Learned Features for Visual Localization. CoRR abs/2008.09310 (2020)
2010 – 2019
- 2019
- [b1]Eddy Ilg:
Estimating optical flow with convolutional neural networks. University of Freiburg, Freiburg im Breisgau, Germany, 2019 - [j2]Anna Khoreva
, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele
:
Lucid Data Dreaming for Video Object Segmentation. Int. J. Comput. Vis. 127(9): 1175-1197 (2019) - [c9]Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox:
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. CVPR 2019: 7144-7153 - [i11]Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox:
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. CoRR abs/1906.03631 (2019) - 2018
- [j1]Nikolaus Mayer
, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers
, Alexey Dosovitskiy, Thomas Brox:
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? Int. J. Comput. Vis. 126(9): 942-960 (2018) - [c8]Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox:
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. ECCV (12) 2018: 626-643 - [c7]Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox:
Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow. ECCV (7) 2018: 677-693 - [i10]Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? CoRR abs/1801.06397 (2018) - [i9]Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox:
Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks. CoRR abs/1802.07095 (2018) - [i8]Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox:
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. CoRR abs/1808.01838 (2018) - [i7]Osama Makansi, Eddy Ilg, Thomas Brox:
FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images. CoRR abs/1808.06389 (2018) - 2017
- [c6]Eddy Ilg, Nikolaus Mayer
, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox:
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CVPR 2017: 1647-1655 - [c5]Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer
, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox:
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CVPR 2017: 5622-5631 - [c4]Osama Makansi, Eddy Ilg, Thomas Brox:
End-to-End Learning of Video Super-Resolution with Motion Compensation. GCPR 2017: 203-214 - [i6]Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele:
Lucid Data Dreaming for Object Tracking. CoRR abs/1703.09554 (2017) - [i5]Osama Makansi, Eddy Ilg, Thomas Brox:
End-to-End Learning of Video Super-Resolution with Motion Compensation. CoRR abs/1707.00471 (2017) - 2016
- [c3]Nikolaus Mayer
, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers
, Alexey Dosovitskiy, Thomas Brox:
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CVPR 2016: 4040-4048 - [i4]Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox:
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CoRR abs/1612.01925 (2016) - [i3]Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox:
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CoRR abs/1612.02401 (2016) - 2015
- [c2]Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt
, Daniel Cremers
, Thomas Brox:
FlowNet: Learning Optical Flow with Convolutional Networks. ICCV 2015: 2758-2766 - [i2]Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox:
FlowNet: Learning Optical Flow with Convolutional Networks. CoRR abs/1504.06852 (2015) - [i1]Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CoRR abs/1512.02134 (2015) - 2014
- [c1]Eddy Ilg, Rainer Kümmerle, Wolfram Burgard
, Thomas Brox:
Reconstruction of rigid body models from motion distorted laser range data using optical flow. ICRA 2014: 4627-4632
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-16 18:34 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint