Sjoerd van Steenkiste
21 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (5)
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(5)
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(7)
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Taxonomy Completionist
(42)
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Topic Evolution
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Dynamic Duo
(10)
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Mega-Team
(42)
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Keyword Champion
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Grand Slam
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(5)
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Conference Pioneer
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Century Club
(21)
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Unstoppable
(9)
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Keyword Collector
(82)
β
The Questioner
(2)
Conferences
NIPS (7)
ICLR (6)
ICML (4)
EMNLP (2)
AAAI (1)
NAACL (1)
Top co-authors
Keywords
self-supervised learning
(4)
object-centric learning
(3)
slot attention
(3)
unsupervised learning
(3)
representation learning
(2)
scene understanding
(2)
text-to-image generation
(2)
vision language model
(2)
novel view synthesis
(2)
vision transformer
(1)
visual question answering
(1)
benchmark evaluation
(1)
prompt engineering
(1)
expectation maximization
(1)
video segmentation
(1)
reinforcement learning
(1)
visual reasoning
(1)
video understanding
(1)
visual perception
(1)
test-time adaptation
(1)
Papers
Direct Motion Models for Assessing Generated Videos
ICML 2025
CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics
EMNLP 2025
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback
NAACL 2025
Benchmarking Vision Language Models for Cultural Understanding
EMNLP 2024
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
NIPS 2024
DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
ICLR 2024
Moving Off-the-Grid: Scene-Grounded Video Representations
NIPS 2024
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
ICLR 2024
Test-time Adaptation with Slot-Centric Models
ICML 2023
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
ICML 2023
Scaling Vision Transformers to 22 Billion Parameters
ICML 2023
Exploring through Random Curiosity with General Value Functions
NIPS 2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
NIPS 2022
Object Scene Representation Transformer
NIPS 2022
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
ICLR 2021
Hierarchical Relational Inference
AAAI 2021
Unsupervised Object Keypoint Learning using Local Spatial Predictability
ICLR 2021
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
ICLR 2020
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
NIPS 2019
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
ICLR 2018
Neural Expectation Maximization
NIPS 2017