Eddy Ilg

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Reverse Engineer

Unlabeled Images

Domain Adaptation

Top Venues

Int. J. Comput. Vis.

Publications

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) (2024)
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 (2024)
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 (2024)
Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. CoRR (2024)
Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction. CoRR (2024)
Cameron Braunstein, Eddy Ilg, Vladislav Golyanik
Quantum-Hybrid Stereo Matching With Nonlinear Regularization and Spatial Pyramids. 3DV (2024)
Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos. CoRR (2024)
Jonas Kälble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg
Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory. CoRR (2024)
Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
SimNP: Learning Self-Similarity Priors Between Neural Points. CoRR (2023)
Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation. CoRR (2023)
Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction. CoRR (2023)
Cameron Braunstein, Eddy Ilg, Vladislav Golyanik
Quantum-Hybrid Stereo Matching With Nonlinear Regularization and Spatial Pyramids. CoRR (2023)
Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
SimNP: Learning Self-Similarity Priors Between Neural Points. ICCV (2023)
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 (2022)
Samir Aroudj, Steven Lovegrove, Eddy Ilg, Tanner Schmidt, Michael Goesele, Richard A. Newcombe
ERF: Explicit Radiance Field Reconstruction From Scratch. CoRR (2022)
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)
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)
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 (2021)
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)
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 (2021)
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)
Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Christopher Sweeney
Domain Adaptation of Learned Featuresfor Visual Localization. BMVC (2020)
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 (2020)
Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Chris Sweeney
Domain Adaptation of Learned Features for Visual Localization. CoRR (2020)
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) (2020)
Wenxin Liu, David Caruso, Eddy Ilg, Jing Dong, Anastasios I. Mourikis, Kostas Daniilidis, Vijay Kumar, Jakob Engel
TLIO: Tight Learned Inertial Odometry. CoRR (2020)
Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele
Lucid Data Dreaming for Video Object Segmentation. Int. J. Comput. Vis. 127 (9) (2019)
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)
Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. CoRR (2019)
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)
Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox
Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks. CoRR (2018)
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 (2018)
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) (2018)
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 (2018)
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)
Osama Makansi, Eddy Ilg, Thomas Brox
FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images. CoRR (2018)
Osama Makansi, Eddy Ilg, Thomas Brox
End-to-End Learning of Video Super-Resolution with Motion Compensation. GCPR (2017)
Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele
Lucid Data Dreaming for Object Tracking. CoRR (2017)
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)
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)
Osama Makansi, Eddy Ilg, Thomas Brox
End-to-End Learning of Video Super-Resolution with Motion Compensation. CoRR (2017)
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)
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CoRR (2016)
Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CoRR (2016)
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)
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 (2015)
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 (2015)
Eddy Ilg, Rainer Kümmerle, Wolfram Burgard, Thomas Brox
Reconstruction of rigid body models from motion distorted laser range data using optical flow. ICRA (2014)