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05/27/2019
Straight to Shapes++: Real-time Instance Segmentation Made More Accurate
Instance segmentation is an important problem in computer vision, with a...
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08/02/2017
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure
Volumetric models have become a popular representation for 3D scenes in ...
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07/22/2017
Spatio-temporal Human Action Localisation and Instance Segmentation in Temporally Untrimmed Videos
Current state-of-the-art human action recognition is focused on the clas...
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04/05/2017
Incremental Tube Construction for Human Action Detection
Current state-of-the-art action detection systems are tailored for offli...
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11/25/2016
Online Real-time Multiple Spatiotemporal Action Localisation and Prediction
We present a deep-learning framework for real-time multiple spatio-tempo...
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11/23/2016
Straight to Shapes: Real-time Detection of Encoded Shapes
Current object detection approaches predict bounding boxes, but these pr...
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08/04/2016
Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos
In this work, we propose an approach to the spatiotemporal localisation ...
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01/10/2016
Joint Object-Material Category Segmentation from Audio-Visual Cues
It is not always possible to recognise objects and infer material proper...
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10/13/2015
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes
We present an open-source, real-time implementation of SemanticPaint, a ...
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05/29/2014