91 citations · 160 across the 4 of their papers we have counts for
5 papers
Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery
Menglong Ye, Edward Johns, Ankur Handa +3
Robotic surgery has become a powerful tool for performing minimally invasive procedures, providing advantages in dexterity, precision, and 3D vision, over traditional surgery. One…
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth
John McCormac, Ankur Handa, Stefan Leutenegger +1
We introduce SceneNet RGB-D, expanding the previous work of SceneNet to enable large scale photorealistic rendering of indoor scene trajectories. It provides pixel-perfect ground t…
HDRFusion: HDR SLAM using a low-cost auto-exposure RGB-D sensor
Shuda Li, Ankur Handa, Yang Zhang +1
We describe a new method for comparing frame appearance in a frame-to-model 3-D mapping and tracking system using an low dynamic range (LDR) RGB-D camera which is robust to brightn…
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…