Klaus Greff
17 papers · 2014–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (8) π§ Keyword Pioneer π Academic Marathon (10) π Conference Polyglot (4) π Renaissance Researcher (6)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(38)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π₯
Mega-Team
(34)
β‘
Prolific Year
(5)
π
Trend Setter
π₯
Unstoppable
(6)
π
Century Club
(17)
π
Conference Pioneer
ποΈ
Keyword Collector
(74)
Conferences
NIPS (6)
ICLR (4)
ICML (4)
CVPR (3)
Top co-authors
Keywords
3d reconstruction
(3)
novel view synthesis
(3)
scene understanding
(2)
unsupervised learning
(2)
scene representation
(2)
representation learning
(2)
perceptual grouping
(2)
slot attention
(2)
self-supervised learning
(2)
object-centric learning
(2)
vision transformer
(1)
video segmentation
(1)
hyperparameter optimization
(1)
gradient-based optimization
(1)
semi-supervised learning
(1)
pose estimation
(1)
expectation maximization
(1)
variational inference
(1)
multimodal learning
(1)
data annotation
(1)
Papers
Moving Off-the-Grid: Scene-Grounded Video Representations
NIPS 2024
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
ICLR 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
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
CVPR 2022
Kubric: A Scalable Dataset Generator
CVPR 2022
Object Scene Representation Transformer
NIPS 2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
NIPS 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
NIPS 2017
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
ICML 2016
Tagger: Deep Unsupervised Perceptual Grouping
NIPS 2016
Training Very Deep Networks
NIPS 2015
A Clockwork RNN
ICML 2014