Eddy Ilg
21 papers · 2015–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π£ Hot Topic Early Bird
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Conference Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(96)
Venues
Top co-authors
Research topics
Computer Vision
(16)
Deep Learning
(11)
Analysis
(11)
Machine Learning
(10)
Learning Types Β· Machine Learning
(7)
Models
(6)
Processing
(5)
Artificial Intelligence
(4)
Architectures
(4)
Core AI
(4)
Core Methods
(4)
Domain-Specific
(4)
Learning Types Β· Deep Learning
(4)
Application Areas
(2)
Generation
(2)
Keywords
convolutional neural network
(4)
optical flow estimation
(3)
3d reconstruction
(3)
autonomous driving
(2)
point cloud
(2)
pose estimation
(2)
evidence theory
(2)
diffusion model
(2)
3d vision
(2)
uncertainty modeling
(2)
optical flow
(2)
neural radiance field
(2)
supervised learning
(1)
motion estimation
(1)
robustness
(1)
zero-shot learning
(1)
3d shape generation
(1)
image reconstruction
(1)
object detection
(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
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
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
CVPR 2024
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
CVPR 2024
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
ICML 2024
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
CVPR 2024
SimNP: Learning Self-Similarity Priors Between Neural Points
ICCV 2023
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning
CVPR 2022
Recurrent Video Restoration Transformer with Guided Deformable Attention
NeurIPS 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
DeMoN: Depth and Motion Network for Learning Monocular Stereo
CVPR 2017
FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks
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