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09/15/2023
SSL-Net: A Synergistic Spectral and Learning-based Network for Efficient Bird Sound Classification
Efficient and accurate bird sound classification is of important for eco...
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08/27/2023
Deep Learning for Visual Localization and Mapping: A Survey
Deep learning based localization and mapping approaches have recently em...
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06/08/2023
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation
A truly generalizable approach to rigid segmentation and motion estimati...
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02/01/2023
Tracking People in Highly Dynamic Industrial Environments
To date, the majority of positioning systems have been designed to opera...
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02/01/2023
Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning
Indoor positioning systems have received a lot of attention recently due...
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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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03/30/2022
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds
Sampling is a key operation in point-cloud task and acts to increase com...
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03/21/2022
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces
Scene flow is a powerful tool for capturing the motion field of 3D point...
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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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12/23/2021
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
We present a pose adaptive few-shot learning procedure and a two-stage d...
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12/10/2021
Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment
Ubiquitous positioning for pedestrian in adverse environment has served ...
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12/01/2021
DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks
Direction finding and positioning systems based on RF signals are signif...
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11/07/2021
CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals
mmWave FMCW radar has attracted huge amount of research interest for hum...
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06/13/2021
SoundDet: Polyphonic Sound Event Detection and Localization from Raw Waveform
We present a new framework SoundDet, which is an end-to-end trainable an...
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04/15/2021
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks
Simultaneous Localization and Mapping (SLAM) system typically employ vis...
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03/01/2021
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
Accurately describing and detecting 2D and 3D keypoints is crucial to es...
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11/13/2020
3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar
Accurate motion capture of aerial robots in 3-D is a key enabler for aut...
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10/26/2020
Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors
Positional estimation is of great importance in the public safety sector...
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09/07/2020
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
An essential prerequisite for unleashing the potential of supervised dee...
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06/22/2020
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
Deep learning based localization and mapping has recently attracted sign...
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03/12/2020
MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization
Recent learning-based research has achieved impressive results in the fi...
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03/05/2020
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization
In this paper, we present a novel end-to-end learning-based LiDAR reloca...
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01/13/2020
Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference
Modern inertial measurements units (IMUs) are small, cheap, energy effic...
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12/30/2019
SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion
Autonomous vehicles and mobile robotic systems are typically equipped wi...
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12/10/2019
Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning
Demand for smartwatches has taken off in recent years with new models wh...
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11/25/2019
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
We study the problem of efficient semantic segmentation for large-scale ...
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11/22/2019
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation
In the last decade, numerous supervised deep learning approaches requiri...
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11/01/2019
FootSLAM meets Adaptive Thresholding
Calibration of the zero-velocity detection threshold is an essential pre...
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10/13/2019
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network
Odometry is of key importance for localization in the absence of a map. ...
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09/18/2019
Sensor Fusion for Magneto-Inductive Navigation
Magneto-inductive navigation is an inexpensive and easily deployable sol...
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09/16/2019
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination
Visual odometry shows excellent performance in a wide range of environme...
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09/12/2019
Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor
With the fast-growing demand of location-based services in various indoo...
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09/09/2019
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
A trade-off exists between reconstruction quality and the prior regulari...
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09/08/2019
AtLoc: Attention Guided Camera Localization
Deep learning has achieved impressive results in camera localization, bu...
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08/14/2019
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues
Facial recognition is a key enabling component for emerging Internet of ...
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08/11/2019
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
Dynamical models estimate and predict the temporal evolution of physical...
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08/02/2019
Distilling Knowledge From a Deep Pose Regressor Network
This paper presents a novel method to distill knowledge from a deep pose...
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06/04/2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
We propose a novel, conceptually simple and general framework for instan...
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03/25/2019
Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning
Inspired by the cognitive process of humans and animals, Curriculum Lear...
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03/19/2019
Zero-Velocity Detection -- A Bayesian Approach to Adaptive Thresholding
A Bayesian zero-velocity detector for foot-mounted inertial navigation s...
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03/04/2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Deep learning approaches for Visual-Inertial Odometry (VIO) have proven ...
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02/16/2019
WiSE-VAE: Wide Sample Estimator VAE
Variational Auto-encoders (VAEs) have been very successful as methods fo...
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12/12/2018
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) has been applied successfully to many ...
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11/27/2018
Learning with Stochastic Guidance for Navigation
Due to the sparse rewards and high degree of environment variation, rein...
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10/04/2018
Transferring Physical Motion Between Domains for Neural Inertial Tracking
Inertial information processing plays a pivotal role in ego-motion aware...
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09/20/2018
OxIOD: The Dataset for Deep Inertial Odometry
Advances in micro-electro-mechanical (MEMS) techniques enable inertial m...
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09/16/2018
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
In the last decade, supervised deep learning approaches have been extens...
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09/07/2018
Neural Allocentric Intuitive Physics Prediction from Real Videos
Humans are able to make rich predictions about the future dynamics of ph...
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08/02/2018