← Authors

Eddy Ilg

21 papers · 2015–2025 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (38) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (21) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6) πŸ—ƒοΈ Keyword Collector (85)

Conferences

CVPR (10) ECCV (5) ICCV (4) ICML (1) NIPS (1)

Top co-authors

Thomas Brox (8) Christopher Wewer (4) Alexey Dosovitskiy (4) Jan Eric Lenssen (3) Tom Fischer (3) Margret Keuper (3) Nikolaus Mayer (3) Daniel Cremers (2) Osama Makansi (2) Ozgun Cicek (2)

Keywords

convolutional neural network (4) 3d reconstruction (3) optical flow estimation (3) autonomous driving (2) pose estimation (2) point cloud (2) uncertainty modeling (2) neural radiance field (2) optical flow (2) evidence theory (2) 3d vision (2) disparity estimation (1) supervised learning (1) depth estimation (1) zero-shot learning (1) motion estimation (1) video understanding (1) 3d shape generation (1) image reconstruction (1) privacy preservation (1)

Papers

EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory CVPR 2025
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis ICCV 2025
Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes ICCV 2025
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields ICML 2024
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction CVPR 2024
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos CVPR 2024
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation CVPR 2024
Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory CVPR 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning ECCV 2024
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction ECCV 2024
SimNP: Learning Self-Similarity Priors Between Neural Points ICCV 2023
Recurrent Video Restoration Transformer with Guided Deformable Attention NIPS 2022
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning CVPR 2022
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction ECCV 2020
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction CVPR 2019
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation ECCV 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow ECCV 2018
FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks CVPR 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo CVPR 2017
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation CVPR 2016
FlowNet: Learning Optical Flow With Convolutional Networks ICCV 2015