126 citations · 298 across the 13 of their papers we have counts for
6 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…
Visions of a generalized probability theory
Fabio Cuzzolin
In this Book we argue that the fruitful interaction of computer vision and belief calculus is capable of stimulating significant advances in both fields. From a methodological poin…
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…
Belief likelihood function for generalised logistic regression
Fabio Cuzzolin
The notion of belief likelihood function of repeated trials is introduced, whenever the uncertainty for individual trials is encoded by a belief measure (a finite random set). This…
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…