32 citations · 35 across the 4 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.CV2019★ 32 cited
Forecasting future action sequences with attention: a new approach to weakly supervised action forecasting
Yan Bin Ng, Basura Fernando
Future human action forecasting from partial observations of activities is an important problem in many practical applications such as assistive robotics, video surveillance and se…
cs.CV2019★ 3 cited
Human Action Sequence Classification
Yan Bin Ng, Basura Fernando
This paper classifies human action sequences from videos using a machine translation model. In contrast to classical human action classification which outputs a set of actions, our…