4 citations · 28 across the 22 of their papers we have counts for
6 papers · 1 filter
Towards CNN map representation and compression for camera relocalisation
Luis Contreras, Walterio Mayol-Cuevas
This paper presents a study on the use of Convolutional Neural Networks for camera relocalisation and its application to map compression. We follow state of the art visual relocali…
Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction Recognition
Michael Wray, Davide Moltisanti, Walterio Mayol-Cuevas +1
This work deviates from easy-to-define class boundaries for object interactions. For the task of object interaction recognition, often captured using an egocentric view, we show th…
Geometric Affordances from a Single Example via the Interaction Tensor
Eduardo Ruiz, Walterio Mayol-Cuevas
This paper develops and evaluates a new tensor field representation to express the geometric affordance of one object over another. We expand the well known bisector surface repres…
Towards CNN Map Compression for camera relocalisation
Luis Contreras, Walterio Mayol-Cuevas
This paper presents a study on the use of Convolutional Neural Networks for camera relocalisation and its application to map compression. We follow state of the art visual relocali…
Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination
Hazel Doughty, Dima Damen, Walterio Mayol-Cuevas
We present a method for assessing skill from video, applicable to a variety of tasks, ranging from surgery to drawing and rolling pizza dough. We formulate the problem as pairwise…
Trespassing the Boundaries: Labeling Temporal Bounds for Object Interactions in Egocentric Video
Davide Moltisanti, Michael Wray, Walterio Mayol-Cuevas +1
Manual annotations of temporal bounds for object interactions (i.e. start and end times) are typical training input to recognition, localization and detection algorithms. For three…