Harshala Gammulle — accepted AI-conference papers

2025

Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context

Harry Hughes, Michael Horton, Xinyu Wei, Harshala Gammulle, Clinton Fookes, Sridha Sridharan +1

AAAI 2025technical

Soccer is a rich testbed for studying multi-agent adversarial systems. In this work we focus on the task of reconstructing the noisy trajectories of soccer agents (players and the ball). Previous works that model the behaviours of agents in soccer are limited in two respects: (i) they only focus on…

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2019

Predicting the Future: A Jointly Learnt Model for Action Anticipation

Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

ICCV 2019poster

Inspired by human neurological structures for action anticipation, we present an action anticipation model that enables the prediction of plausible future actions by forecasting both the visual and temporal future. In contrast to current state-of-the-art methods which first learn a model to predict…

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