Vongani
Maluleke

I develop models that understand and generate human motion and social interaction, aiming to enable socially intelligent behavior in humanoids and autonomous systems. My research explores generative modeling and representation learning for multi-agent motion and human–humanoid interaction, spanning 3D vision, generative models, and AI for social good.

I am a Ph.D. student at UC Berkeley in BAIR, co-advised by Prof. Jitendra Malik and Prof. Angjoo Kanazawa. Before Berkeley, I worked as an AI consultant at Deloitte, delivering AI solutions across industries including logistics, banking, entertainment, insurance, and telecommunications.

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Vongani H. Maluleke
UC Berkeley
BAIR
Berkeley Artificial Intelligence Research

01 Publications

Under Review
Diffusion Forcing for Multi-Agent Interaction Sequence Modeling
Vongani H. Maluleke, Kie Horiuchi, Lea Wilken, Evonne Ng, Jitendra Malik, Angjoo Kanazawa
Under Review
Synergy and Synchrony in Couple Dances
Vongani H. Maluleke, Lea Müller, Jathushan Rajasegaran, Georgios Pavlakos, Shiry Ginosar, Angjoo Kanazawa, Jitendra Malik
Studying Bias in GANs through the Lens of Race
Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory

02 Experience

  Education

Ph.D., Computer Science
UC Berkeley
3D Vision, Generative Models, AI for Social Good. Advised by Prof. Malik & Prof. Kanazawa.
2021–Present
MSc Advanced Analytics (Distinction)
University of Cape Town
Estimating poverty from aerial imagery with CNNs. Advised by Prof. Er & Dr. Williams.
2019
BBusSci in Analytics
University of Cape Town
Cryptic frog species identification from acoustic data. Advised by Prof. Durbach.
2016

  Industry

AI Senior Consultant
Deloitte Consulting, Johannesburg
2020–21
AI Consultant
Deloitte Consulting, Johannesburg
2019–20
Masters Studentship Candidate
CSIR, Pretoria
2017–19
Full Resume