no code implementations • 4 Sep 2022 • Appan Rakaraddi, Siew Kei Lam, Mahardhika Pratama, Marcus de Carvalho
Continual learning on graphs is largely unexplored and existing graph continual learning approaches are limited to the task-incremental learning scenarios.
1 code implementation • 3 Jul 2020 • Sirin Haddad, Siew Kei Lam
Pedestrian trajectory prediction is a prominent research track that has advanced towards modelling of crowd social and contextual interactions, with extensive usage of Long Short-Term Memory (LSTM) for temporal representation of walking trajectories.
no code implementations • 13 Feb 2019 • Sirin Haddad, Meiqing Wu, He Wei, Siew Kei Lam
Pedestrian trajectory prediction is essential for collision avoidance in autonomous driving and robot navigation.