450 citations · 1.1k across the 20 of their papers we have counts for
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SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan +2
Scene understanding is a prerequisite to many high level tasks for any automated intelligent machine operating in real world environments. Recent attempts with supervised learning…
TemplateNet for Depth-Based Object Instance Recognition
Ujwal Bonde, Vijay Badrinarayanan, Roberto Cipolla +1
We present a novel deep architecture termed templateNet for depth based object instance recognition. Using an intermediate template layer we exploit prior knowledge of an object's…
Symmetry-invariant optimization in deep networks
Vijay Badrinarayanan, Bamdev Mishra, Roberto Cipolla
Recent works have highlighted scale invariance or symmetry that is present in the weight space of a typical deep network and the adverse effect that it has on the Euclidean gradien…
Understanding symmetries in deep networks
Vijay Badrinarayanan, Bamdev Mishra, Roberto Cipolla
Recent works have highlighted scale invariance or symmetry present in the weight space of a typical deep network and the adverse effect it has on the Euclidean gradient based stoch…
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla
We present a deep learning framework for probabilistic pixel-wise semantic segmentation, which we term Bayesian SegNet. Semantic segmentation is an important tool for visual scene…
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla
We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine co…
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan, Ankur Handa, Roberto Cipolla
We propose a novel deep architecture, SegNet, for semantic pixel wise image labelling. SegNet has several attractive properties; (i) it only requires forward evaluation of a fully…
SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes
Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan +2
We are interested in automatic scene understanding from geometric cues. To this end, we aim to bring semantic segmentation in the loop of real-time reconstruction. Our semantic seg…