Klaus Greff
17 papers · 2014–2024 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (39) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Mega-Team · Squad
🧬
Topic Evolution
🧭
Keyword Pioneer
📈
Trend Setter
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Prolific Year · Productive
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Conference Pioneer
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Keyword Collector
(92)
Venues
Top co-authors
Research topics
Deep Learning
(13)
Machine Learning
(10)
Computer Vision
(9)
Architectures
(8)
Artificial Intelligence
(7)
Core AI
(6)
Core Methods
(6)
Analysis
(5)
Processing
(5)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(4)
Generation
(3)
Optimization & Theory · Machine Learning
(3)
Application Areas
(2)
Optimization & Theory · Deep Learning
(2)
Keywords
slot attention
(3)
3d reconstruction
(3)
novel view synthesis
(3)
object-centric representation
(3)
unsupervised learning
(3)
visual question answering
(2)
representation learning
(2)
neural scene representation
(2)
object-centric learning
(2)
scene representation
(2)
expectation maximization
(2)
scene understanding
(2)
video understanding
(2)
self-supervised learning
(2)
perceptual grouping
(2)
hyperparameter optimization
(1)
video segmentation
(1)
semi-supervised learning
(1)
pose estimation
(1)
sample efficiency
(1)
Papers
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
ICLR 2024
Moving Off-the-Grid: Scene-Grounded Video Representations
NeurIPS 2024
PaLM-E: An Embodied Multimodal Language Model
ICML 2023
RUST: Latent Neural Scene Representations From Unposed Imagery
CVPR 2023
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
ICLR 2023
Conditional Object-Centric Learning from Video
ICLR 2022
Kubric: A Scalable Dataset Generator
CVPR 2022
Object Scene Representation Transformer
NeurIPS 2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
NeurIPS 2022
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
CVPR 2022
Multi-Object Representation Learning with Iterative Variational Inference
ICML 2019
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
ICLR 2018
Neural Expectation Maximization
NeurIPS 2017
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
ICML 2016
Tagger: Deep Unsupervised Perceptual Grouping
NeurIPS 2016
Training Very Deep Networks
NeurIPS 2015
A Clockwork RNN
ICML 2014