101 citations · 277 across the 15 of their papers we have counts for
4 papers · 1 filter
Recurrent Convolutions for Causal 3D CNNs
Gurkirt Singh, Fabio Cuzzolin
Recently, three dimensional (3D) convolutional neural networks (CNNs) have emerged as dominant methods to capture spatiotemporal representations in videos, by adding to pre-existin…
Predicting Action Tubes
Gurkirt Singh, Suman Saha, Fabio Cuzzolin
In this work, we present a method to predict an entire `action tube' (a set of temporally linked bounding boxes) in a trimmed video just by observing a smaller subset of it. Predic…
TraMNet - Transition Matrix Network for Efficient Action Tube Proposals
Gurkirt Singh, Suman Saha, Fabio Cuzzolin
Current state-of-the-art methods solve spatiotemporal action localisation by extending 2D anchors to 3D-cuboid proposals on stacks of frames, to generate sets of temporally connect…
Action Detection from a Robot-Car Perspective
Valentina Fontana, Gurkirt Singh, Stephen Akrigg +3
We present the new Road Event and Activity Detection (READ) dataset, designed and created from an autonomous vehicle perspective to take action detection challenges to autonomous d…