Reconstruction of rigid body models from motion distorted laser range data using optical flow. - Eddy Ilg; Rainer Kümmerle; Wolfram Burgard; Thomas Brox (ICRA, 2014)

FlowNet: Learning Optical Flow with Convolutional Networks. - Alexey Dosovitskiy; Philipp Fischer; Eddy Ilg; Philip Häusser; Caner Hazirbas; Vladimir Golkov; Patrick van der Smagt; Daniel Cremers; Thomas Brox (ICCV, 2015)

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. - Nikolaus Mayer; Eddy Ilg; Philip Häusser; Philipp Fischer; Daniel Cremers; Alexey Dosovitskiy; Thomas Brox (CVPR, 2016)

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. - Eddy Ilg; Nikolaus Mayer; Tonmoy Saikia; Margret Keuper; Alexey Dosovitskiy; Thomas Brox (CVPR, 2017)

DeMoN: Depth and Motion Network for Learning Monocular Stereo. - Benjamin Ummenhofer; Huizhong Zhou; Jonas Uhrig; Nikolaus Mayer; Eddy Ilg; Alexey Dosovitskiy; Thomas Brox (CVPR, 2017)

End-to-End Learning of Video Super-Resolution with Motion Compensation. - Osama Makansi; Eddy Ilg; Thomas Brox (GCPR, 2017)

Lucid Data Dreaming for Object Tracking. - Anna Khoreva; Rodrigo Benenson; Eddy Ilg; Thomas Brox; Bernt Schiele (CoRR, 2017)

Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow. - Eddy Ilg; Özgün Çiçek; Silvio Galesso; Aaron Klein; Osama Makansi; Frank Hutter; Thomas Brox (ECCV (7), 2018)

Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. - Eddy Ilg; Tonmoy Saikia; Margret Keuper; Thomas Brox (ECCV (12), 2018)

Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks. - Eddy Ilg; Özgün Çiçek; Silvio Galesso; Aaron Klein; Osama Makansi; Frank Hutter; Thomas Brox (CoRR, 2018)

FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images. - Osama Makansi; Eddy Ilg; Thomas Brox (CoRR, 2018)

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? - Nikolaus Mayer; Eddy Ilg; Philipp Fischer; Caner Hazirbas; Daniel Cremers; Alexey Dosovitskiy; Thomas Brox (Int. J. Comput. Vis., 2018)

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. - Osama Makansi; Eddy Ilg; Özgün Çiçek; Thomas Brox (CVPR, 2019)

Lucid Data Dreaming for Video Object Segmentation. - Anna Khoreva; Rodrigo Benenson; Eddy Ilg; Thomas Brox; Bernt Schiele (Int. J. Comput. Vis., 2019)

Estimating optical flow with convolutional neural networks. - Eddy Ilg (2019)

Domain Adaptation of Learned Featuresfor Visual Localization. - Sungyong Baik; Hyo Jin Kim 004; Tianwei Shen; Eddy Ilg; Kyoung Mu Lee; Christopher Sweeney (BMVC, 2020)

Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. - Rohan Chabra; Jan Eric Lenssen; Eddy Ilg; Tanner Schmidt; Julian Straub; Steven Lovegrove; Richard A. Newcombe (ECCV (29), 2020)

Domain Adaptation of Learned Features for Visual Localization. - Sungyong Baik; Hyo Jin Kim 004; Tianwei Shen; Eddy Ilg; Kyoung Mu Lee; Chris Sweeney (CoRR, 2020)

TLIO: Tight Learned Inertial Odometry. - Wenxin Liu 002; David Caruso; Eddy Ilg; Jing Dong 002; Anastasios I. Mourikis; Kostas Daniilidis; Vijay Kumar 001; Jakob J. Engel (IEEE Robotics Autom. Lett., 2020)

Mitigating Reverse Engineering Attacks on Local Feature Descriptors. - Deeksha Dangwal; Vincent T. Lee; Hyo Jin Kim 004; Tianwei Shen; Meghan Cowan; Rajvi Shah; Caroline Trippel; Brandon Reagen; Timothy Sherwood; Vasileios Balntas; Armin Alaghi; Eddy Ilg (BMVC, 2021)

Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors. - Deeksha Dangwal; Vincent T. Lee; Hyo Jin Kim 004; Tianwei Shen; Meghan Cowan; Rajvi Shah; Caroline Trippel; Brandon Reagen; Timothy Sherwood; Vasileios Balntas; Armin Alaghi; Eddy Ilg (CoRR, 2021)

NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning. - Tony Ng; Hyo Jin Kim 004; Vincent T. Lee; Daniel DeTone; Tsun-Yi Yang; Tianwei Shen; Eddy Ilg; Vassileios Balntas; Krystian Mikolajczyk; Chris Sweeney (CVPR, 2022)

Recurrent Video Restoration Transformer with Guided Deformable Attention. - Jingyun Liang; Yuchen Fan; Xiaoyu Xiang; Rakesh Ranjan; Eddy Ilg; Simon Green; Jiezhang Cao; Kai Zhang 008; Radu Timofte; Luc Van Gool (NeurIPS, 2022)

ERF: Explicit Radiance Field Reconstruction From Scratch. - Samir Aroudj; Steven Lovegrove; Eddy Ilg; Tanner Schmidt; Michael Goesele; Richard A. Newcombe (CoRR, 2022)

SimNP: Learning Self-Similarity Priors Between Neural Points. - Christopher Wewer; Eddy Ilg; Bernt Schiele; Jan Eric Lenssen (ICCV, 2023)

Quantum-Hybrid Stereo Matching With Nonlinear Regularization and Spatial Pyramids. - Cameron Braunstein; Eddy Ilg; Vladislav Golyanik (3DV, 2024)

Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction. - Devikalyan Das; Christopher Wewer; Raza Yunus; Eddy Ilg; Jan Eric Lenssen (CVPR, 2024)

Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory. - Jonas Kälble; Sascha Wirges; Maxim Tatarchenko; Eddy Ilg (CVPR, 2024)

Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation. - Philipp Schröppel; Christopher Wewer; Jan Eric Lenssen; Eddy Ilg; Thomas Brox (CVPR, 2024)

Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos. - Leonhard Sommer; Artur Jesslen; Eddy Ilg; Adam Kortylewski (CVPR, 2024)

iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. - Tom Fischer; Yaoyao Liu 001; Artur Jesslen; Noor Ahmed; Prakhar Kaushik; Angtian Wang; Alan L. Yuille; Adam Kortylewski; Eddy Ilg (ECCV (77), 2024)

LatentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction. - Christopher Wewer; Kevin Raj; Eddy Ilg; Bernt Schiele; Jan Eric Lenssen (ECCV (87), 2024)

Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. - Tom Fischer; Pascal Peter; Joachim Weickert; Eddy Ilg (ICML, 2024)

Spurfies: Sparse Surface Reconstruction using Local Geometry Priors. - Kevin Raj; Christopher Wewer; Raza Yunus; Eddy Ilg; Jan Eric Lenssen (CoRR, 2024)

SLayR: Scene Layout Generation with Rectified Flow. - Cameron Braunstein; Hevra Petekkaya; Jan Eric Lenssen; Mariya Toneva; Eddy Ilg (CoRR, 2024)

Recent Trends in 3D Reconstruction of General Non-Rigid Scenes. - Raza Yunus; Jan Eric Lenssen; Michael Niemeyer; Yiyi Liao; Christian Rupprecht 001; Christian Theobalt; Gerard Pons-Moll; Jia-Bin Huang; Vladislav Golyanik; Eddy Ilg (Comput. Graph. Forum, 2024)

Spurfies: Sparse-View Surface Reconstruction Using Local Geometry Priors. - Kevin Raj; Christopher Wewer; Raza Yunus; Eddy Ilg; Jan Eric Lenssen (3DV, 2025)

E-3DGS: Event-Based Novel View Rendering of Large-Scale Scenes Using 3D Gaussian Splatting. - Sohaib Zahid; Viktor Rudnev; Eddy Ilg; Vladislav Golyanik (3DV, 2025)

EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory. - Jonas Kälble; Sascha Wirges; Maxim Tatarchenko; Eddy Ilg (CVPR, 2025)

TikZero: Zero-Shot Text-Guided Graphics Program Synthesis. - Jonas Belouadi; Eddy Ilg; Margret Keuper; Hideki Tanaka; Masao Utiyama; Raj Dabre; Steffen Eger; Simone Paolo Ponzetto (CoRR, 2025)

Imaging for All-Day Wearable Smart Glasses. - Michael Goesele; Daniel Andersen; Yujia Chen; Simon Green; Eddy Ilg; Chao Li; Johnson Liu; Grace Kuo; Logan Wan; Richard A. Newcombe (CoRR, 2025)

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes. - Tom Fischer; Xiaojie Zhang; Eddy Ilg (CoRR, 2025)

3DFroMLLM: 3D Prototype Generation only from Pretrained Multimodal LLMs. - Noor Ahmed; Cameron Braunstein; Steffen Eger; Eddy Ilg (CoRR, 2025)