Home
Projects
Publications
People
Join the Lab
Contact
Login
Richard Klein
PRIME Lab Director
University of the Witwatersrand
Interests
Computer Vision
Deep Learning
Latest
MiDaS: A Large-Scale Minecraft Dataset for Non-Natural Image Benchmarking
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
Creating Diverse Play-Style-Centric Agents through Behavioural Cloning
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement
Revisiting the Role of Relearning in Semantic Dementia
Generating Interpretable Play-style Descriptions through Deep Unsupervised Clustering of Trajectories
On The Specialization of Neural Modules
Improved Action Prediction through Multiple Model Processing of Player Trajectories
Play-style Identification through Deep Unsupervised Clustering of Trajectories
Accounting for the Sequential Nature of States to Learn Representations in Reinforcement Learning
Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa
Improving Pose Estimation through Contextual Activity Fusion
Generative Adversarial Networks for Global Illumination and Indirect Lighting as a Replacement for Ray-tracing in Older GPU Hardware
Defect Detection and Quantification in Electroluminescence Images of Solar PV Modules using U-net Semantic Segmentation
Confident in the Crowd: Bayesian Inference to Improve Data Labelling in Crowdsourcing
Quantisation and Pruning for Neural Network Compression and Regularisation
A Comparison Between Fully Connected and Deconvolutional Layers for Road Segmentation from Satellite Imagery
Single-labelled Music Genre Classification Using Content-Based Features
Cite
×