activity
20152021
most citedSegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling

56 citations · 70 across the 4 of their papers we have counts for

collaborators

12 papers

cs.LG20215 cited

Reimagining an autonomous vehicle

Jeffrey Hawke, Haibo E, Vijay Badrinarayanan +1

The self driving challenge in 2021 is this century's technological equivalent of the space race, and is now entering the second major decade of development. Solving the technology…

cs.CV2021

FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras

Anthony Hu, Zak Murez, Nikhil Mohan +5

Driving requires interacting with road agents and predicting their future behaviour in order to navigate safely. We present FIERY: a probabilistic future prediction model in bird's…

cs.CV2020

MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality

Zhengyang Wu, Srivignesh Rajendran, Tarrence van As +3

With the emergence of Virtual and Mixed Reality (XR) devices, eye tracking has received significant attention in the computer vision community. Eye gaze estimation is a crucial com…

cs.CV2020

Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes

Ameya Phalak, Vijay Badrinarayanan, Andrew Rabinovich

We introduce Scan2Plan, a novel approach for accurate estimation of a floorplan from a 3D scan of the structural elements of indoor environments. The proposed method incorporates a…

cs.CV2020

Atlas: End-to-End 3D Scene Reconstruction from Posed Images

Zak Murez, Tarrence van As, James Bartolozzi +3

We present an end-to-end 3D reconstruction method for a scene by directly regressing a truncated signed distance function (TSDF) from a set of posed RGB images. Traditional approac…

cs.CV2020

DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points

Ayan Sinha, Zak Murez, James Bartolozzi +2

Multi-view stereo (MVS) is the golden mean between the accuracy of active depth sensing and the practicality of monocular depth estimation. Cost volume based approaches employing 3…