Sotabase

Career

· Researcher, Edinburgh Cyber Security, Privacy and Trust Institute2022–
· Lab Member / Researcher, MAPS-Lab, University of Edinburgh2022–

Publications (73)

IONet: Learning to Cure the Curse of Drift in Inertial Odometry
AAAI Conference on Artificial Intelligence · 2018
340
cited
mID: Tracking and Identifying People with Millimeter Wave Radar
International Conference on Distributed Computing in Sensor Systems · 2019
209
cited
See through smoke: robust indoor mapping with low-cost mmWave radar
ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services · 2019
196
cited
AtLoc: Attention Guided Camera Localization
AAAI Conference on Artificial Intelligence · 2019
185
cited
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Computer Vision and Pattern Recognition · 2019
153
cited
milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion
ACM International Conference on Embedded Networked Sensor Systems · 2020
152
cited
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
arXiv.org · 2020
151
cited
SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing
Patterns · 2022
140
cited
Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference
IEEE Internet of Things Journal · 2020
134
cited
Structured State Space Models for In-Context Reinforcement Learning
Neural Information Processing Systems · 2023
131
cited
MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
Neural Information Processing Systems · 2023
114
cited
OxIOD: The Dataset for Deep Inertial Odometry
arXiv.org · 2018
92
cited
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
IEEE International Conference on Computer Vision · 2021
70
cited
DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination
IEEE Robotics and Automation Letters · 2019
69
cited
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
IEEE Transactions on Neural Networks and Learning Systems · 2019
67
cited
Discovering Evolution Strategies via Meta-Black-Box Optimization
International Conference on Learning Representations · 2022
58
cited
GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning
IEEE Internet of Things Journal · 2022
58
cited
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
Computer Vision and Pattern Recognition · 2023
56
cited
MotionTransformer: Transferring Neural Inertial Tracking between Domains
AAAI Conference on Artificial Intelligence · 2019
55
cited
Deep Learning for Visual Localization and Mapping: A Survey
IEEE Transactions on Neural Networks and Learning Systems · 2023
54
cited
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Chris Xiaoxuan Lu | Researcher Profile | Sotabase | Sotabase