Eddy Ilg
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
6
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory. | Jonas Klble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Unified Category-Level Object Detection and Pose Estimation from RGB Images Using 3D Prototypes. | Tom Fischer, Xiaojie Zhang, Eddy Ilg |
| 2024 | CVPR | Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction. | Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen |
| 2024 | CVPR | Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory. | Jonas Klble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg |
| 2024 | CVPR | Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation. | Philipp Schrppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox |
| 2024 | CVPR | Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos. | Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski |
| 2024 | ECCV | iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. | Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg |
| 2024 | ECCV | LatentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction. | Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen |
| 2024 | ICML | Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. | Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg |
| 2023 | ICCV | SimNP: Learning Self-Similarity Priors Between Neural Points. | Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen |
| 2022 | CVPR | NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning. | Tony Ng, Hyo Jin Kim, Vincent T. Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, Chris Sweeney |
| 2021 | BMVC | Mitigating Reverse Engineering Attacks on Local Feature Descriptors. | 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 |
| 2020 | BMVC | Domain Adaptation of Learned Featuresfor Visual Localization. | Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Christopher Sweeney |
| 2020 | ECCV | 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 |
| 2019 | CVPR | Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. | Osama Makansi, Eddy Ilg, zgn iek, Thomas Brox |
| 2018 | ECCV | Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow. | Eddy Ilg, zgn iek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox |
| 2018 | ECCV | 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 |
| 2017 | CVPR | FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. | Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox |
| 2017 | CVPR | DeMoN: Depth and Motion Network for Learning Monocular Stereo. | Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox |
| 2016 | CVPR | A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. | Nikolaus Mayer, Eddy Ilg, Philip Husser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox |
| 2015 | ICCV | FlowNet: Learning Optical Flow with Convolutional Networks. | Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Husser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox |
| 2014 | ICRA | Reconstruction of rigid body models from motion distorted laser range data using optical flow. | Eddy Ilg, Rainer Kmmerle, Wolfram Burgard, Thomas Brox |