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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....
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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...
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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 ...
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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...
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02/21/2020
Calibrating Deep Neural Networks using Focal Loss
Miscalibration – a mismatch between a model's confidence and its correct...
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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...
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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...
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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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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...
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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...
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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...
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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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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...
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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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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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12/04/2015
Staple: Complementary Learners for Real-Time Tracking
Correlation Filter-based trackers have recently achieved excellent perfo...
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10/13/2015
