Stuart Golodetz | DeepAI

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∙ 09/21/2022

Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR

Deep learning has led to great progress in the detection of mobile (i.e....

0 Sangyun Shin, et al. ∙

∙ 06/28/2022

When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation

Self-supervised deep learning methods for joint depth and ego-motion est...

6 Madhu Vankadari, et al. ∙

∙ 03/04/2022

Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV

Unmanned aerial vehicles (UAVs) have been used for many applications in ...

0 Stuart Golodetz, et al. ∙

∙ 08/05/2020

Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes

Long-term camera re-localization is an important task with numerous comp...

5 Johanna Wald, et al. ∙

∙ 02/21/2020

Calibrating Deep Neural Networks using Focal Loss

Miscalibration – a mismatch between a model's confidence and its correct...

16 Jishnu Mukhoti, et al. ∙

∙ 07/17/2019

Real-Time Highly Accurate Dense Depth on a Power Budget using an FPGA-CPU Hybrid SoC

Obtaining highly accurate depth from stereo images in real time has many...

4 Oscar Rahnama, et al. ∙

∙ 06/20/2019

Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation

Many applications require a camera to be relocalised online, without exp...

2 Tommaso Cavallari, et al. ∙

∙ 05/27/2019

Straight to Shapes++: Real-time Instance Segmentation Made More Accurate

Instance segmentation is an important problem in computer vision, with a...

0 Laurynas Miksys, et al. ∙

∙ 10/30/2018

R^3SGM: Real-time Raster-Respecting Semi-Global Matching for Power-Constrained Systems

Stereo depth estimation is used for many computer vision applications. T...

0 Oscar Rahnama, et al. ∙

∙ 10/29/2018

Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade

Camera pose estimation is an important problem in computer vision. Commo...

8 Tommaso Cavallari, et al. ∙

∙ 01/25/2018

Collaborative Large-Scale Dense 3D Reconstruction with Online Inter-Agent Pose Optimisation

Reconstructing dense, volumetric models of real-world 3D scenes is impor...

0 Stuart Golodetz, et al. ∙

∙ 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 ...

0 Victor Adrian Prisacariu, et al. ∙

∙ 02/09/2017

On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation

Camera relocalisation is an important problem in computer vision, with a...

0 Tommaso Cavallari, et al. ∙

∙ 11/23/2016

Straight to Shapes: Real-time Detection of Encoded Shapes

Current object detection approaches predict bounding boxes, but these pr...

0 Saumya Jetley, et al. ∙

∙ 01/10/2016

Joint Object-Material Category Segmentation from Audio-Visual Cues

It is not always possible to recognise objects and infer material proper...

0 Anurag Arnab, et al. ∙

∙ 12/04/2015

Staple: Complementary Learners for Real-Time Tracking

Correlation Filter-based trackers have recently achieved excellent perfo...

0 Luca Bertinetto, et al. ∙

∙ 10/13/2015

SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes

We present an open-source, real-time implementation of SemanticPaint, a ...

0 Stuart Golodetz, et al. ∙

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