Klaus Greff

About Klaus Greff

Klaus Greff, With an exceptional h-index of 25 and a recent h-index of 24 (since 2020), a distinguished researcher at Università della Svizzera Italiana, specializes in the field of Machine Learning, Neural Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

Geometry-Free Neural Scene Representations Through Novel-View Synthesis

Sensitivity of slot-based object-centric models to their number of slots

Palm-e: An embodied multimodal language model

Rust: Latent neural scene representations from unposed imagery

Inverted-Attention Transformers can Learn Object Representations: Insights from Slot Attention

Getting aligned on representational alignment

Dyst: Towards dynamic neural scene representations on real-world videos

Klaus Greff Information

University

Position

Machine Learning PhD Student

Citations(all)

16334

Citations(since 2020)

12098

Cited By

7556

hIndex(all)

25

hIndex(since 2020)

24

i10Index(all)

29

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Klaus Greff Skills & Research Interests

Machine Learning

Neural Networks

Top articles of Klaus Greff

Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

2024/4/11

Geometry-Free Neural Scene Representations Through Novel-View Synthesis

2024/3/21

Sensitivity of slot-based object-centric models to their number of slots

arXiv preprint arXiv:2305.18890

2023/5/30

Klaus Greff
Klaus Greff

H-Index: 13

Palm-e: An embodied multimodal language model

The International Conference on Machine Learning

2023/3/6

Rust: Latent neural scene representations from unposed imagery

2023

Klaus Greff
Klaus Greff

H-Index: 13

Inverted-Attention Transformers can Learn Object Representations: Insights from Slot Attention

2023/10/27

Yi-Fu Wu
Yi-Fu Wu

H-Index: 2

Klaus Greff
Klaus Greff

H-Index: 13

Dyst: Towards dynamic neural scene representations on real-world videos

arXiv preprint arXiv:2310.06020

2023/10/9

Klaus Greff
Klaus Greff

H-Index: 13

Audioslots: A slot-centric generative model for audio separation

2023/6/4

Pradyumna Reddy
Pradyumna Reddy

H-Index: 3

Klaus Greff
Klaus Greff

H-Index: 13

Savi++: Towards end-to-end object-centric learning from real-world videos

Advances in Neural Information Processing Systems

2022/12/6

Klaus Greff
Klaus Greff

H-Index: 13

Object scene representation transformer

Advances in Neural Information Processing Systems

2022/12/6

Klaus Greff
Klaus Greff

H-Index: 13

Conditional Object-Centric Learning with Slot Attention for Video and Other Sequential Data

2022/12/1

Segmentation of data

2022/10/25

Slotformer: Unsupervised visual dynamics simulation with object-centric models

2023/4/30

Nesf: Neural semantic fields for generalizable semantic segmentation of 3d scenes

arXiv preprint arXiv:2111.13260

2021/11/25

SlotFormer: Long-Term Dynamic Modeling in Object-Centric Models

2022/7/9

Towards unsupervised multi-object perception in neural networks

2022

Klaus Greff
Klaus Greff

H-Index: 13

Scene representation transformer: Geometry-free novel view synthesis through set-latent scene representations

2022

Conditional object-centric learning from video

arXiv preprint arXiv:2111.12594

2021/11/24

Klaus Greff
Klaus Greff

H-Index: 13

See List of Professors in Klaus Greff University(Università della Svizzera Italiana)