Richard Klein

Richard Klein

University of the Witwatersrand

H-index: 7

Africa-South Africa

About Richard Klein

Richard Klein, With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at University of the Witwatersrand, specializes in the field of Computer Vision, Deep Learning, Machine Learning, Artificial Intelligence.

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

A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images

DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning

Affine transformation estimation improves visual self-supervised learning

Dynamics generalisation in reinforcement learning via adaptive context-aware policies

MiDaS: a large-scale Minecraft dataset for non-natural image benchmarking

A benchmark dataset for defect detection and classification in electroluminescence images of PV modules using semantic segmentation

Generating Interpretable Play-style Descriptions through Deep Unsupervised Clustering of Trajectories

On The Specialization of Neural Modules

Richard Klein Information

University

Position

Senior Lecturer School of Computer Science

Citations(all)

313

Citations(since 2020)

248

Cited By

129

hIndex(all)

7

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

University of the Witwatersrand

Google Scholar

View Google Scholar Profile

Richard Klein Skills & Research Interests

Computer Vision

Deep Learning

Machine Learning

Artificial Intelligence

Top articles of Richard Klein

Title

Journal

Author(s)

Publication Date

A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images

arXiv preprint arXiv:2402.17611

David Torpey

Lawrence Pratt

Richard Klein

2024/2/27

DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning

arXiv preprint arXiv:2402.15598

David Torpey

Richard Klein

2024/2/23

Affine transformation estimation improves visual self-supervised learning

arXiv preprint arXiv:2402.09071

David Torpey

Richard Klein

2024/2/14

Dynamics generalisation in reinforcement learning via adaptive context-aware policies

Advances in Neural Information Processing Systems

Michael Beukman

Devon Jarvis

Richard Klein

Steven James

Benjamin Rosman

2024/2/13

MiDaS: a large-scale Minecraft dataset for non-natural image benchmarking

Journal of Electronic Imaging

David Torpey

Max Parkin

Jonah Alter

Richard Klein

Steven James

2024/1/1

A benchmark dataset for defect detection and classification in electroluminescence images of PV modules using semantic segmentation

Systems and Soft Computing

Lawrence Pratt

Jana Mattheus

Richard Klein

2023/12/1

Generating Interpretable Play-style Descriptions through Deep Unsupervised Clustering of Trajectories

IEEE Transactions on Games

Branden Ingram

Clint van Alten

Richard Klein

Benjamin Rosman

2023/7/26

On The Specialization of Neural Modules

Devon Jarvis

Richard Klein

Benjamin Rosman

Andrew Saxe

2023/5/5

Overlooked Implications of the Reconstruction Loss for VAE Disentanglement

Nathan Michlo

Richard Klein

Steven James

2023

Improving Pose Estimation Through Contextual Activity Fusion

David Poulton

Richard Klein

2022/1

Improved Action Prediction through Multiple Model Processing of Player Trajectories

Branden Ingram

Benjamin Rosman

Clint van Alten

Richard Klein

2022/8/21

Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning

arXiv preprint arXiv:2205.06000

Nathan Michlo

Devon Jarvis

Richard Klein

Steven James

2022/5/12

Generative Adversarial Networks for Non-Raytraced Global Illumination on Older GPU Hardware

arXiv preprint arXiv:2110.12039

Jared Harris-Dewey

Richard Klein

2021/10/22

Play-style Identification through Deep Unsupervised Clustering of Trajectories.

Branden Ingram

Benjamin Rosman

Clint van Alten

Richard Klein

2022/8/21

On the robustness of self-supervised representations for multi-view object classification

Pattern Recognition Letters

David Torpey

Richard Klein

2022/9/1

Dilated Convolution to Capture Scale Invariant Context in Crowd Density Estimation

Proceedings of 43rd Conference of the South African Insti

Thishen Packirisamy

Richard Klein

2022/7/18

Modeling E-Behaviour, Personality and Academic Performance with Machine Learning

Applied Sciences

Serepu Bill-William Seota

Richard Klein

Terence Van Zyl

2021/11/9

Defect detection and quantification in electroluminescence images of solar PV modules using U-net semantic segmentation

Renewable Energy

Lawrence Pratt

Devashen Govender

Richard Klein

2021/11/1

Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa

Raesetje Sefala

Timnit Gebru

Luzango Mfupe

Nyalleng Moorosi

Richard Klein

2021/8/29

Explicit homography estimation improves contrastive self-supervised learning

arXiv preprint arXiv:2101.04713

David Torpey

Richard Klein

2021/1/12

See List of Professors in Richard Klein University(University of the Witwatersrand)

Co-Authors

H-index: 40
Turgay Celik

Turgay Celik

University of the Witwatersrand

H-index: 23
Benjamin Rosman

Benjamin Rosman

University of the Witwatersrand

H-index: 23
Andrew Saxe

Andrew Saxe

University of Oxford

H-index: 14
Terence L van Zyl

Terence L van Zyl

University of Johannesburg

H-index: 12
Ritesh Ajoodha

Ritesh Ajoodha

University of the Witwatersrand

H-index: 9
Steven James

Steven James

University of the Witwatersrand

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