119 citations · 211 across the 27 of their papers we have counts for
5 papers · 1 filter
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…
Injecting Prior Knowledge into Image Caption Generation
Arushi Goel, Basura Fernando, Thanh-Son Nguyen +1
Automatically generating natural language descriptions from an image is a challenging problem in artificial intelligence that requires a good understanding of the visual and textua…
Action Anticipation with RBF Kernelized Feature Mapping RNN
Yuge Shi, Basura Fernando, Richard Hartley
We introduce a novel Recurrent Neural Network-based algorithm for future video feature generation and action anticipation called feature mapping RNN. Our novel RNN architecture bui…
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…
Weakly Supervised Gaussian Networks for Action Detection
Basura Fernando, Cheston Tan Yin Chet, Hakan Bilen
Detecting temporal extents of human actions in videos is a challenging computer vision problem that requires detailed manual supervision including frame-level labels. This expensiv…