Learning Selective Sensor Fusion for State Estimation - Changhao Chen; Stefano Rosa; Chris Xiaoxuan Lu; Bing Wang; Niki Trigoni; Andrew Markham (IEEE Trans. Neural Networks Learn. Syst., 2025)

Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments - Shitong Xu; Yiyuan Yang; Niki Trigoni; Andrew Markham (CoRR, 2025)

EgoCap and EgoFormer: First-person image captioning with context fusion - Zhuangzhuang Dai; Vu Tran; Andrew Markham; Niki Trigoni; M. Arif Rahman; Lahiru N. S. Wijayasingha; John A. Stankovic; Chen Li (Pattern Recognit. Lett., 2024)

Illumination-Aware Hallucination-Based Domain Adaptation for Thermal Pedestrian Detection - Qian Xie; Ta Ying Cheng; Zhuangzhuang Dai; Vu H. Tran; Niki Trigoni; Andrew Markham (IEEE Trans. Intell. Transp. Syst., 2024)

Multiscale Human Activity Recognition and Anticipation Network - Yang Xing; Stuart Golodetz; Aluna Everitt; Andrew Markham; Niki Trigoni (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Learning for Visual Localization and Mapping: A Survey - Changhao Chen; Bing Wang; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (IEEE Trans. Neural Networks Learn. Syst., 2024)

SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network - Yuhang He; Zhuangzhuang Dai; Niki Trigoni; Long Chen; Andrew Markham (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation - Sangyun Shin; Kaichen Zhou; Madhu Vankadari; Andrew Markham; Niki Trigoni (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Learning Continuous 3D Words for Text-to-Image Generation - Ta Ying Cheng; Matheus Gadelha; Thibault Groueix; Matthew Fisher; Radomír Mech; Andrew Markham; Niki Trigoni (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

ZeST: Zero-Shot Material Transfer from a Single Image - Ta Ying Cheng; Prafull Sharma; Andrew Markham; Niki Trigoni; Varun Jampani (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part I, 2024)

SSL-Net: A Synergistic Spectral and Learning-Based Network for Efficient Bird Sound Classification - Yiyuan Yang; Kaichen Zhou; Niki Trigoni; Andrew Markham (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

Deep Neural Room Acoustics Primitive - Yuhang He; Anoop Cherian; Gordon Wichern; Andrew Markham (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Learning to Catch Reactive Objects with a Behavior Predictor - Kai Lu; Jia-Xing Zhong; Bo Yang; Bing Wang; Andrew Markham (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models - Madhu Vankadari; Samuel Hodgson; Sangyun Shin; Kaichen Zhou; Andrew Markham; Niki Trigoni (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization via Radiance Field - Jialu Wang; Kaichen Zhou; Andrew Markham; Niki Trigoni (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

Learning Generalizable Manipulation Policy with Adapter-Based Parameter Fine-Tuning - Kai Lu; Kim Tien Ly; William Hebberd; Kaichen Zhou; Ioannis Havoutis; Andrew Markham (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors - Chenyang Ma; Kai Lu; Ta Ying Cheng; Niki Trigoni; Andrew Markham (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection - Sangyun Shin; Yuhang He; Madhu Vankadari; Ta Ying Cheng; Qian Xie; Andrew Markham; Niki Trigoni (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection - Qian Xie; Ta Ying Cheng; Jia-Xing Zhong; Kaichen Zhou; Andrew Markham; Niki Trigoni (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

Sound3DVDet: 3D Sound Source Detection using Multiview Microphone Array and RGB Images - Yuhang He; Sangyun Shin; Anoop Cherian; Niki Trigoni; Andrew Markham (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

Learning Continuous 3D Words for Text-to-Image Generation - Ta Ying Cheng; Matheus Gadelha; Thibault Groueix; Matthew Fisher; Radomír Mech; Andrew Markham; Niki Trigoni (CoRR, 2024)

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition - Chun-Hsiao Yeh; Ta Ying Cheng; He-Yen Hsieh; Chuan-En Lin; Yi Ma; Andrew Markham; Niki Trigoni; Hsiang-Tsung Kung; Yubei Chen (CoRR, 2024)

See, Imagine, Plan: Discovering and Hallucinating Tasks from a Single Image - Chenyang Ma; Kai Lu; Ta Ying Cheng; Niki Trigoni; Andrew Markham (CoRR, 2024)

WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization - Jialu Wang; Kaichen Zhou; Andrew Markham; Niki Trigoni (CoRR, 2024)

ZeST: Zero-Shot Material Transfer from a Single Image - Ta Ying Cheng; Prafull Sharma; Andrew Markham; Niki Trigoni; Varun Jampani (CoRR, 2024)

Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models - Madhu Vankadari; Samuel Hodgson; Sangyun Shin; Kaichen Zhou; Andrew Markham; Niki Trigoni (CoRR, 2024)

Pre-training Feature Guided Diffusion Model for Speech Enhancement - Yiyuan Yang; Niki Trigoni; Andrew Markham (CoRR, 2024)

SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field - Yuhang He; Shitong Xu; Jia-Xing Zhong; Sangyun Shin; Niki Trigoni; Andrew Markham (CoRR, 2024)

MambaLoc: Efficient Camera Localisation via State Space Model - Jialu Wang; Kaichen Zhou; Andrew Markham; Niki Trigoni (CoRR, 2024)

Towards Multi-Modal Animal Pose Estimation: An In-Depth Analysis - Qianyi Deng; Oishi Deb; Amir Patel; Christian Rupprecht; Philip Torr; Niki Trigoni; Andrew Markham (CoRR, 2024)

HyperspectralViTs: General Hyperspectral Models for On-board Remote Sensing - Vít Ruzicka; Andrew Markham (CoRR, 2024)

RiTTA: Modeling Event Relations in Text-to-Audio Generation - Yuhang He; Yash Jain; Xubo Liu; Andrew Markham; Vibhav Vineet (CoRR, 2024)

SoundLoc3D: Invisible 3D Sound Source Localization and Classification Using a Multimodal RGB-D Acoustic Camera - Yuhang He; Sangyun Shin; Anoop Cherian; Niki Trigoni; Andrew Markham (CoRR, 2024)

Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations - Ben Moseley; Andrew Markham; Tarje Nissen-Meyer (Adv. Comput. Math., 2023)

CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang; Niki Trigoni; Andrew Markham (IEEE Internet Things J., 2023)

You Only Train Once: Learning General and Distinctive 3D Local Descriptors - Sheng Ao; Yulan Guo; Qingyong Hu; Bo Yang; Andrew Markham; Zengping Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SoundSynp: Sound Source Detection from Raw Waveforms with Multi-Scale Synperiodic Filterbanks - Yuhang He; Andrew Markham (International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023)

mmPoint: Dense Human Point Cloud Generation from mmWave - Qian Xie; Qianyi Deng; Ta Ying Cheng; Peijun Zhao; Amir Patel; Niki Trigoni; Andrew Markham (34th British Machine Vision Conference 2023, BMVC 2023, Aberdeen, UK, November 20-24, 2023, 2023)

Multiple Early-Exits Strategy for Distributed Deep Neural Network Inference - Marion Sbai; Niki Trigoni; Andrew Markham (19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023, Pafos, Cyprus, June 19-21, 2023, 2023)

3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets - Ta Ying Cheng; Matheus Gadelha; Sören Pirk; Thibault Groueix; Radomír Mech; Andrew Markham; Niki Trigoni (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation - Kai Lu; Bo Yang; Bing Wang; Andrew Markham (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR - Sangyun Shin; Stuart Golodetz; Madhu Vankadari; Kaichen Zhou; Andrew Markham; Niki Trigoni (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Fast Model Inference and Training On-Board of Satellites - Vít Ruzicka; Gonzalo Mateo-García; Chris Bridges; Chris Brunskill; Cormac Purcell; Nicolas Longépé; Andrew Markham (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023, 2023)

RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Conditions - Jialu Wang; Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (IROS, 2023)

Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation - Jia-Xing Zhong; Ta Ying Cheng; Yuhang He; Kai Lu; Kaichen Zhou; Andrew Markham; Niki Trigoni (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

DynPoint: Dynamic Neural Point For View Synthesis - Kaichen Zhou; Jia-Xing Zhong; Sangyun Shin; Kai Lu; Yiyuan Yang; Andrew Markham; Niki Trigoni (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Tracking People in Highly Dynamic Industrial Environments - Savvas Papaioannou; Andrew Markham; Niki Trigoni (CoRR, 2023)

Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning - Savvas Papaioannou; Hongkai Wen; Andrew Markham; Niki Trigoni (CoRR, 2023)

Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation - Kai Lu; Bo Yang; Bing Wang; Andrew Markham (CoRR, 2023)

Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation - Jia-Xing Zhong; Ta Ying Cheng; Yuhang He; Kai Lu; Kaichen Zhou; Andrew Markham; Niki Trigoni (CoRR, 2023)

Fast model inference and training on-board of Satellites - Vít Ruzicka; Gonzalo Mateo-García; Chris Bridges; Chris Brunskill; Cormac Purcell; Nicolas Longépé; Andrew Markham (CoRR, 2023)

Deep Learning for Visual Localization and Mapping: A Survey - Changhao Chen; Bing Wang; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (CoRR, 2023)

SSL-Net: A Synergistic Spectral and Learning-based Network for Efficient Bird Sound Classification - Yiyuan Yang; Kaichen Zhou; Niki Trigoni; Andrew Markham (CoRR, 2023)

DynPoint: Dynamic Neural Point For View Synthesis - Kaichen Zhou; Jia-Xing Zhong; Sangyun Shin; Kai Lu; Yiyuan Yang; Andrew Markham; Niki Trigoni (CoRR, 2023)

3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets - Ta Ying Cheng; Matheus Gadelha; Sören Pirk; Thibault Groueix; Radomír Mech; Andrew Markham; Niki Trigoni (CoRR, 2023)

Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation - Sangyun Shin; Kaichen Zhou; Madhu Vankadari; Andrew Markham; Niki Trigoni (CoRR, 2023)

MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios - Kaichen Zhou; Jia-Xing Zhong; Jia-Wang Bian; Qian Xie; Jian-Qing Zheng; Niki Trigoni; Andrew Markham (CoRR, 2023)

SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network - Yuhang He; Zhuangzhuang Dai; Long Chen; Niki Trigoni; Andrew Markham (CoRR, 2023)

DeepAoANet: Learning Angle of Arrival From Software Defined Radios With Deep Neural Networks - Zhuangzhuang Dai; Yuhang He; Vu Tran; Niki Trigoni; Andrew Markham (IEEE Access, 2022)

SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds - Qingyong Hu; Bo Yang; Sheikh Khalid; Wen Xiao; Niki Trigoni; Andrew Markham (Int. J. Comput. Vis., 2022)

Deep learning-based robust positioning for all-weather autonomous driving - Yasin Almalioglu; Mehmet Turan; Niki Trigoni; Andrew Markham (Nat. Mac. Intell., 2022)

SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation - Yasin Almalioglu; Mehmet Turan; Muhamad Risqi Utama Saputra; Pedro Porto Buarque de Gusmão; Andrew Markham; Niki Trigoni (Neural Networks, 2022)

Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling - Qingyong Hu; Bo Yang; Linhai Xie; Stefano Rosa; Yulan Guo; Zhihua Wang; Niki Trigoni; Andrew Markham (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

iMag+: An Accurate and Rapidly Deployable Inertial Magneto-Inductive SLAM System - Bo Wei; Niki Trigoni; Andrew Markham (IEEE Trans. Mob. Comput., 2022)

Graph-Based Thermal-Inertial SLAM With Probabilistic Neural Networks - Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Pedro Porto Buarque de Gusmão; Bing Wang; Andrew Markham; Niki Trigoni (IEEE Trans. Robotics, 2022)

When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation - Madhu Vankadari; Stuart Golodetz; Sourav Garg; Sangyun Shin; Andrew Markham; Niki Trigoni (Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand, 2022)

No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces - Jia-Xing Zhong; Kaichen Zhou; Qingyong Hu; Bing Wang; Niki Trigoni; Andrew Markham (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds - Qingyong Hu; Bo Yang; Guangchi Fang; Yulan Guo; Ales Leonardis; Niki Trigoni; Andrew Markham (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVII, 2022)

Meta-sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds - Ta Ying Cheng; Qingyong Hu; Qian Xie; Niki Trigoni; Andrew Markham (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part II, 2022)

SoundDoA: Learn Sound Source Direction of Arrival and Semantics from Sound Raw Waveforms - Yuhang He; Andrew Markham (23rd Annual Conference of the International Speech Communication Association, Interspeech 2022, Incheon, Korea, September 18-22, 2022, 2022)

Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV - Stuart Golodetz; Madhu Vankadari; Aluna Everitt; Sangyun Shin; Andrew Markham; Niki Trigoni (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

DeepCIR: Insights into CIR-based Data-driven UWB Error Mitigation - Vu Tran; Zhuangzhuang Dai; Niki Trigoni; Andrew Markham (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds - Qingyong Hu; Bo Yang; Sheikh Khalid; Wen Xiao; Niki Trigoni; Andrew Markham (CoRR, 2022)

Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV - Stuart Golodetz; Madhu Vankadari; Aluna Everitt; Sangyun Shin; Andrew Markham; Niki Trigoni (CoRR, 2022)

No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces - Jia-Xing Zhong; Kaichen Zhou; Qingyong Hu; Bing Wang; Niki Trigoni; Andrew Markham (CoRR, 2022)

Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds - Ta Ying Cheng; Qingyong Hu; Qian Xie; Niki Trigoni; Andrew Markham (CoRR, 2022)

RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds - Bing Wang; Zhengdi Yu; Bo Yang; Jie Qin; Toby P. Breckon; Ling Shao; Niki Trigoni; Andrew Markham (CoRR, 2022)

When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation - Madhu Vankadari; Stuart Golodetz; Sourav Garg; Sangyun Shin; Andrew Markham; Niki Trigoni (CoRR, 2022)

Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR - Sangyun Shin; Stuart Golodetz; Madhu Vankadari; Kaichen Zhou; Andrew Markham; Niki Trigoni (CoRR, 2022)

Human tracking and identification through a millimeter wave radar - Peijun Zhao; Chris Xiaoxuan Lu; Jianan Wang; Changhao Chen; Wei Wang; Niki Trigoni; Andrew Markham (Ad Hoc Networks, 2021)

Deep Neural Network Based Inertial Odometry Using Low-Cost Inertial Measurement Units - Changhao Chen; Chris Xiaoxuan Lu; Johan Wahlström; Andrew Markham; Niki Trigoni (IEEE Trans. Mob. Comput., 2021)

Learning With Stochastic Guidance for Robot Navigation - Linhai Xie; Yishu Miao; Sen Wang; Phil Blunsom; Zhihua Wang; Changhao Chen; Andrew Markham; Niki Trigoni (IEEE Trans. Neural Networks Learn. Syst., 2021)

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction - Changhao Chen; Chris Xiaoxuan Lu; Bing Wang; Niki Trigoni; Andrew Markham (IEEE Trans. Neural Networks Learn. Syst., 2021)

VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization - Kaichen Zhou; Changhao Chen; Bing Wang; Muhamad Risqi Utama Saputra; Niki Trigoni; Andrew Markham (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges - Qingyong Hu; Bo Yang; Sheikh Khalid; Wen Xiao; Niki Trigoni; Andrew Markham (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration - Sheng Ao; Qingyong Hu; Bo Yang; Andrew Markham; Yulan Guo (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching - Bing Wang; Changhao Chen; Zhaopeng Cui; Jie Qin; Chris Xiaoxuan Lu; Zhengdi Yu; Peijun Zhao; Zhen Dong; Fan Zhu; Niki Trigoni; Andrew Markham (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform - Yuhang He; Niki Trigoni; Andrew Markham (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

3D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang; Niki Trigoni; Andrew Markham (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

RadarLoc: Learning to Relocalize in FMCW Radar - Wei Wang; Pedro Porto Buarque de Gusmão; Bo Yang; Andrew Markham; Niki Trigoni (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

Cut, Distil and Encode (CDE): Split Cloud-Edge Deep Inference - Marion Sbai; Muhamad Risqi Utama Saputra; Niki Trigoni; Andrew Markham (18th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2021, Rome, Italy, July 6-9, 2021, 2021)

SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15 - 17, 2021 - Jorge Sá Silva; Fernando Boavida; André Rodrigues; Andrew Markham; Rong Zheng (ACM, 2021)

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching - Bing Wang; Changhao Chen; Zhaopeng Cui; Jie Qin; Chris Xiaoxuan Lu; Zhengdi Yu; Peijun Zhao; Zhen Dong; Fan Zhu; Niki Trigoni; Andrew Markham (CoRR, 2021)

RadarLoc: Learning to Relocalize in FMCW Radar - Wei Wang; Pedro P. B. de Gusmao; Bo Yang; Andrew Markham; Niki Trigoni (CoRR, 2021)

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels - Qingyong Hu; Bo Yang; Guangchi Fang; Yulan Guo; Ales Leonardis; Niki Trigoni; Andrew Markham (CoRR, 2021)

Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks - Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Pedro P. B. de Gusmao; Bing Wang; Andrew Markham; Niki Trigoni (CoRR, 2021)

SoundDet: Polyphonic Sound Event Detection and Localization from Raw Waveform - Yuhang He; Niki Trigoni; Andrew Markham (CoRR, 2021)

Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling - Qingyong Hu; Bo Yang; Linhai Xie; Stefano Rosa; Yulan Guo; Zhihua Wang; Niki Trigoni; Andrew Markham (CoRR, 2021)

Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations - Ben Moseley; Andrew Markham; Tarje Nissen-Meyer (CoRR, 2021)

CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang; Niki Trigoni; Andrew Markham (CoRR, 2021)

DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks - Zhuangzhuang Dai; Yuhang He; Tran Vu; Niki Trigoni; Andrew Markham (CoRR, 2021)

RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather - Jialu Wang; Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Niki Trigon; Andrew Markham (CoRR, 2021)

Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment - Zhuangzhuang Dai; Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Andrew Markham; Niki Trigoni (CoRR, 2021)

Learning distributed communication and computation in the IoT - Prince Abudu; Andrew Markham (Comput. Commun., 2020)

Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction - Bo Yang; Sen Wang; Andrew Markham; Niki Trigoni (Int. J. Comput. Vis., 2020)

Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference - Changhao Chen; Peijun Zhao; Chris Xiaoxuan Lu; Wei Wang; Andrew Markham; Niki Trigoni (IEEE Internet Things J., 2020)

DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination - Muhamad Risqi Utama Saputra; Niki Trigoni; Pedro P. B. de Gusmao; Chris Xiaoxuan Lu; Yasin Almalioglu; Stefano Rosa; Changhao Chen; Johan Wahlström; Wei Wang; Andrew Markham (IEEE Robotics Autom. Lett., 2020)

AtLoc: Attention Guided Camera Localization - Bing Wang; Changhao Chen; Chris Xiaoxuan Lu; Peijun Zhao; Niki Trigoni; Andrew Markham (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds - Qingyong Hu; Bo Yang; Linhai Xie; Stefano Rosa; Yulan Guo; Zhihua Wang; Niki Trigoni; Andrew Markham (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference - Linhai Xie; Andrew Markham; Niki Trigoni (2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, 2020)

Heart Rate Sensing with a Robot Mounted mmWave Radar - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang; Changhao Chen; Linhai Xie; Mengyu Wang; Niki Trigoni; Andrew Markham (2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, 2020)

See through smoke: robust indoor mapping with low-cost mmWave radar - Chris Xiaoxuan Lu; Stefano Rosa; Peijun Zhao; Bing Wang; Changhao Chen; John A. Stankovic; Niki Trigoni; Andrew Markham (MobiSys '20: The 18th Annual International Conference on Mobile Systems, Applications, and Services, Toronto, Ontario, Canada, June 15-19, 2020, 2020)

milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion - Chris Xiaoxuan Lu; Muhamad Risqi Utama Saputra; Peijun Zhao; Yasin Almalioglu; Pedro P. B. de Gusmao; Changhao Chen; Ke Sun; Niki Trigoni; Andrew Markham (SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, Virtual Event, Japan, November 16-19, 2020, 2020)

Indoor positioning system in visually-degraded environments with millimetre-wave radar and inertial sensors: demo abstract - Zhuangzhuang Dai; Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, Virtual Event, Japan, November 16-19, 2020, 2020)

Deep Emergent Communication for the IoT - Prince Abudu; Andrew Markham (IEEE International Conference on Smart Computing, SMARTCOMP 2020, Bologna, Italy, September 14-17, 2020, 2020)

Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference - Changhao Chen; Peijun Zhao; Chris Xiaoxuan Lu; Wei Wang; Andrew Markham; Niki Trigoni (CoRR, 2020)

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization - Wei Wang; Bing Wang; Peijun Zhao; Changhao Chen; Ronald Clark; Bo Yang; Andrew Markham; Niki Trigoni (CoRR, 2020)

MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization - Rui Zhou; Changhao Chen; Bing Wang; Andrew Markham; Niki Trigoni (CoRR, 2020)

milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion - Chris Xiaoxuan Lu; Muhamad Risqi Utama Saputra; Peijun Zhao; Yasin Almalioglu; Pedro P. B. de Gusmao; Changhao Chen; Ke Sun; Niki Trigoni; Andrew Markham (CoRR, 2020)

A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence - Changhao Chen; Bing Wang; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (CoRR, 2020)

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges - Qingyong Hu; Bo Yang; Sheikh Khalid; Wen Xiao; Niki Trigoni; Andrew Markham (CoRR, 2020)

Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors - Zhuangzhuang Dai; Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (CoRR, 2020)

3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang; Niki Trigoni; Andrew Markham (CoRR, 2020)

SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration - Sheng Ao; Qingyong Hu; Bo Yang; Andrew Markham; Yulan Guo (CoRR, 2020)

Autonomous Learning of Speaker Identity and WiFi Geofence From Noisy Sensor Data - Chris Xiaoxuan Lu; Yuanbo Xiangli; Peijun Zhao; Changhao Chen; Niki Trigoni; Andrew Markham (IEEE Internet Things J., 2019)

Dense 3D Object Reconstruction from a Single Depth View - Bo Yang; Stefano Rosa; Andrew Markham; Niki Trigoni; Hongkai Wen (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

MotionTransformer: Transferring Neural Inertial Tracking between Domains - Changhao Chen; Yishu Miao; Chris Xiaoxuan Lu; Linhai Xie; Phil Blunsom; Andrew Markham; Niki Trigoni (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Optimising Worlds to Evaluate and Influence Reinforcement Learning Agents - Richard Everett; Adam D. Cobb; Andrew Markham; Stephen J. Roberts (Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019, 2019)

Selective Sensor Fusion for Neural Visual-Inertial Odometry - Changhao Chen; Stefano Rosa; Yishu Miao; Chris Xiaoxuan Lu; Wei Wu; Andrew Markham; Niki Trigoni (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Map-aided Navigation for Emergency Searches - Johan Wahlström; Pedro Porto Buarque de Gusmão; Andrew Markham; Niki Trigoni (15th International Conference on Distributed Computing in Sensor Systems, DCOSS 2019, Santorini, Greece, May 29-31, 2019, 2019)

mID: Tracking and Identifying People with Millimeter Wave Radar - Peijun Zhao; Chris Xiaoxuan Lu; Jianan Wang; Changhao Chen; Wei Wang; Niki Trigoni; Andrew Markham (15th International Conference on Distributed Computing in Sensor Systems, DCOSS 2019, Santorini, Greece, May 29-31, 2019, 2019)

iSCAN: automatic speaker adaptation via iterative cross-modality association - Yuanbo Xiangli; Chris Xiaoxuan Lu; Peijun Zhao; Changhao Chen; Andrew Markham (Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 Adjunct, London, UK, September 9-13, 2019, 2019)

Distilling Knowledge From a Deep Pose Regressor Network - Muhamad Risqi Utama Saputra; Pedro Porto Buarque de Gusmão; Yasin Almalioglu; Andrew Markham; Niki Trigoni (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning - Muhamad Risqi Utama Saputra; Pedro P. B. de Gusmao; Sen Wang; Andrew Markham; Niki Trigoni (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks - Yasin Almalioglu; Muhamad Risqi Utama Saputra; Pedro Porto Buarque de Gusmão; Andrew Markham; Niki Trigoni (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network - Wei Wang; Muhamad Risqi Utama Saputra; Peijun Zhao; Pedro P. B. de Gusmao; Bo Yang; Changhao Chen; Andrew Markham; Niki Trigoni (2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, 2019)

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds - Bo Yang; Jianan Wang; Ronald Clark; Qingyong Hu; Sen Wang; Andrew Markham; Niki Trigoni (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

Distributed Communicating Neural Network Architecture for Smart Environments - Prince Abudu; Andrew Markham (IEEE International Conference on Smart Computing, SMARTCOMP 2019, Washington, DC, USA, June 12-15, 2019, 2019)

Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues - Chris Xiaoxuan Lu; Xuan Kan; Bowen Du; Changhao Chen; Hongkai Wen; Andrew Markham; Niki Trigoni; John A. Stankovic (The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, 2019)

Selective Sensor Fusion for Neural Visual-Inertial Odometry - Changhao Chen; Stefano Rosa; Yishu Miao; Chris Xiaoxuan Lu; Wei Wu; Andrew Markham; Niki Trigoni (CoRR, 2019)

Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning - Muhamad Risqi Utama Saputra; Pedro P. B. de Gusmao; Sen Wang; Andrew Markham; Niki Trigoni (CoRR, 2019)

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds - Bo Yang; Jianan Wang; Ronald Clark; Qingyong Hu; Sen Wang; Andrew Markham; Niki Trigoni (CoRR, 2019)

Distilling Knowledge From a Deep Pose Regressor Network - Muhamad Risqi Utama Saputra; Pedro P. B. de Gusmao; Yasin Almalioglu; Andrew Markham; Niki Trigoni (CoRR, 2019)

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction - Changhao Chen; Chris Xiaoxuan Lu; Bing Wang; Niki Trigoni; Andrew Markham (CoRR, 2019)

Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues - Chris Xiaoxuan Lu; Xuan Kan; Bowen Du; Changhao Chen; Hongkai Wen; Andrew Markham; Niki Trigoni; John A. Stankovic (CoRR, 2019)

AtLoc: Attention Guided Camera Localization - Bing Wang; Changhao Chen; Chris Xiaoxuan Lu; Peijun Zhao; Niki Trigoni; Andrew Markham (CoRR, 2019)

Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor - Yasin Almalioglu; Mehmet Turan; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (CoRR, 2019)

DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination - Muhamad Risqi Utama Saputra; Pedro P. B. de Gusmao; Chris Xiaoxuan Lu; Yasin Almalioglu; Stefano Rosa; Changhao Chen; Johan Wahlström; Wei Wang; Andrew Markham; Niki Trigoni (CoRR, 2019)

Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo - Adam D. Cobb; Atilim Günes Baydin; Andrew Markham; Stephen J. Roberts (CoRR, 2019)

DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network - Wei Wang; Muhamad Risqi Utama Saputra; Peijun Zhao; Pedro P. B. de Gusmao; Bo Yang; Changhao Chen; Andrew Markham; Niki Trigoni (CoRR, 2019)

SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation - Yasin Almalioglu; Mehmet Turan; Alp Eren Sari; Muhamad Risqi Utama Saputra; Pedro Porto Buarque de Gusmão; Andrew Markham; Niki Trigoni (CoRR, 2019)

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds - Qingyong Hu; Bo Yang; Linhai Xie; Stefano Rosa; Yulan Guo; Zhihua Wang; Niki Trigoni; Andrew Markham (CoRR, 2019)

Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning - Chris Xiaoxuan Lu; Bowen Du; Hongkai Wen; Sen Wang; Andrew Markham; Ivan Martinovic; Yiran Shen; Niki Trigoni (CoRR, 2019)

SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion - Changhao Chen; Stefano Rosa; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (CoRR, 2019)

Visual SLAM and Structure from Motion in Dynamic Environments: A Survey - Muhamad Risqi Utama Saputra; Andrew Markham; Niki Trigoni (ACM Comput. Surv., 2018)

IONet: Learning to Cure the Curse of Drift in Inertial Odometry - Changhao Chen; Xiaoxuan Lu; Andrew Markham; Niki Trigoni (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Learning 3D Scene Semantics and Structure From a Single Depth Image - Bo Yang; Zihang Lai; Xiaoxuan Lu; Shuyu Lin; Hongkai Wen; Andrew Markham; Niki Trigoni (2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Towards an enterprise architecture controlling framework - Lennin Arriola; Andrew Markham (Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings, ECSA 2018, Madrid, Spain, September 24-28, 2018, 2018)

Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics - Chris Xiaoxuan Lu; Bowen Du; Peijun Zhao; Hongkai Wen; Yiran Shen; Andrew Markham; Niki Trigoni (Proceedings of the 2018 ACM International Symposium on Wearable Computers, ISWC 2018, Singapore, Singapore, October 8-12, 2018, 2018)

iMag: Accurate and Rapidly Deployable Inertial Magneto-Inductive Localisation - Bo Wei; Niki Trigoni; Andrew Markham (2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, 2018)

DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks - Zhihua Wang; Stefano Rosa; Linhai Xie; Bo Yang; Sen Wang; Niki Trigoni; Andrew Markham (2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, 2018)

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning - Linhai Xie; Sen Wang; Stefano Rosa; Andrew Markham; Niki Trigoni (2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, 2018)

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations - Zhihua Wang; Stefano Rosa; Bo Yang; Sen Wang; Niki Trigoni; Andrew Markham (Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden, 2018)

Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus - Adam D. Cobb; Richard Everett; Andrew Markham; Stephen J. Roberts (Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018, 2018)

Automatic Face Recognition Adaptation via Ambient Wireless Identifiers - Chris Xiaoxuan Lu; Peijun Zhao; Bowen Du; Hongkai Wen; Andrew Markham; Stefano Rosa; Niki Trigoni (Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, Shenzhen, China, November 4-7, 2018, 2018)

3D Object Dense Reconstruction from a Single Depth View - Bo Yang; Stefano Rosa; Andrew Markham; Niki Trigoni; Hongkai Wen (CoRR, 2018)

IONet: Learning to Cure the Curse of Drift in Inertial Odometry - Changhao Chen; Xiaoxuan Lu; Andrew Markham; Niki Trigoni (CoRR, 2018)

Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus - Adam D. Cobb; Richard Everett; Andrew Markham; Stephen J. Roberts (CoRR, 2018)

Defo-Net: Learning Body Deformation using Generative Adversarial Networks - Zhihua Wang; Stefano Rosa; Linhai Xie; Bo Yang; Sen Wang; Niki Trigoni; Andrew Markham (CoRR, 2018)

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations - Zhihua Wang; Stefano Rosa; Bo Yang; Sen Wang; Niki Trigoni; Andrew Markham (CoRR, 2018)

Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction - Bo Yang; Sen Wang; Andrew Markham; Niki Trigoni (CoRR, 2018)

Neural Allocentric Intuitive Physics Prediction from Real Videos - Zhihua Wang; Stefano Rosa; Yishu Miao; Zihang Lai; Linhai Xie; Andrew Markham; Niki Trigoni (CoRR, 2018)

GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks - Yasin Almalioglu; Muhamad Risqi Utama Saputra; Pedro P. B. de Gusmao; Andrew Markham; Niki Trigoni (CoRR, 2018)

OxIOD: The Dataset for Deep Inertial Odometry - Changhao Chen; Peijun Zhao; Chris Xiaoxuan Lu; Wei Wang; Andrew Markham; Niki Trigoni (CoRR, 2018)

Transferring Physical Motion Between Domains for Neural Inertial Tracking - Changhao Chen; Yishu Miao; Chris Xiaoxuan Lu; Phil Blunsom; Andrew Markham; Niki Trigoni (CoRR, 2018)

Learning with Stochastic Guidance for Navigation - Linhai Xie; Yishu Miao; Sen Wang; Phil Blunsom; Zhihua Wang; Changhao Chen; Andrew Markham; Niki Trigoni (CoRR, 2018)

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning - Linhai Xie; Sen Wang; Stefano Rosa; Andrew Markham; Niki Trigoni (CoRR, 2018)

Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning - Chris Xiaoxuan Lu; Bowen Du; Hongkai Wen; Sen Wang; Andrew Markham; Ivan Martinovic; Yiran Shen; Niki Trigoni (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Tracking People in Highly Dynamic Industrial Environments - Savvas Papaioannou; Andrew Markham; Niki Trigoni (IEEE Trans. Mob. Comput., 2017)

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem - Ronald Clark; Sen Wang; Hongkai Wen; Andrew Markham; Niki Trigoni (Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA, 2017)

Evolutionary Machine Learning for RTS Game StarCraft - Lianlong Wu; Andrew Markham (Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA, 2017)

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization - Ronald Clark; Sen Wang; Andrew Markham; Niki Trigoni; Hongkai Wen (2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017, 2017)

3D Object Reconstruction from a Single Depth View with Adversarial Learning - Bo Yang; Hongkai Wen; Sen Wang; Ronald Clark; Andrew Markham; Niki Trigoni (2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29, 2017, 2017)

SCAN: learning speaker identity from noisy sensor data - Chris Xiaoxuan Lu; Hongkai Wen; Sen Wang; Andrew Markham; Niki Trigoni (Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2017, Pittsburgh, PA, USA, April 18-21, 2017, 2017)

GraphTinker: Outlier rejection and inlier injection for pose graph SLAM - Linhai Xie; Sen Wang; Andrew Markham; Niki Trigoni (2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017, 2017)

VeriNet: User Verification on Smartwatches via Behavior Biometrics - Chris Xiaoxuan Lu; Bowen Du; Xuan Kan; Hongkai Wen; Andrew Markham; Niki Trigoni (Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications, CrowdSenSys@SenSys 2017, Delft, The Netherlands, November 5, 2017, 2017)

Towards Self-supervised Face Labeling via Cross-modality Association - Chris Xiaoxuan Lu; Xuan Kan; Stefano Rosa; Bowen Du; Hongkai Wen; Andrew Markham; Niki Trigoni (Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, SenSys 2017, Delft, Netherlands, November 06-08, 2017, 2017)

Interpreting Lion Behaviour as Probabilistic Programs - Neil Dhir; Matthijs Vákár; Matthew Wijers; Andrew Markham; Frank D. Wood (Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017, 2017)

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem - Ronald Clark; Sen Wang; Hongkai Wen; Andrew Markham; Niki Trigoni (CoRR, 2017)

VidLoc: 6-DoF Video-Clip Relocalization - Ronald Clark; Sen Wang; Andrew Markham; Niki Trigoni; Hongkai Wen (CoRR, 2017)

Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning - Linhai Xie; Sen Wang; Andrew Markham; Niki Trigoni (CoRR, 2017)

3D Object Reconstruction from a Single Depth View with Adversarial Learning - Bo Yang; Hongkai Wen; Sen Wang; Ronald Clark; Andrew Markham; Niki Trigoni (CoRR, 2017)

Learning from lions: inferring the utility of agents from their trajectories - Adam D. Cobb; Andrew Markham; Stephen J. Roberts (CoRR, 2017)

Impact of Rocks and Minerals on Underground Magneto-Inductive Communication and Localization - Traian E. Abrudan; Orfeas Kypris; Niki Trigoni; Andrew Markham (IEEE Access, 2016)

Underground Incrementally Deployed Magneto-Inductive 3-D Positioning Network - Traian E. Abrudan; Zhuoling Xiao; Andrew Markham; Niki Trigoni (IEEE Trans. Geosci. Remote. Sens., 2016)

Magnetic Induction-Based Positioning in Distorted Environments - Orfeas Kypris; Traian E. Abrudan; Andrew Markham (IEEE Trans. Geosci. Remote. Sens., 2016)

RePWR: Wireless Power Transfer within Reinforced Concrete - Zhihua Wang; Orfeas Kypris; Andrew Markham (Proceedings of the 4th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems, Stanford, CA, USA, November 14 - 16, 2016, 2016)

Increasing the efficiency of 6-DoF visual localization using multi-modal sensory data - Ronald Clark; Sen Wang; Hongkai Wen; Niki Trigoni; Andrew Markham (16th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2016, Cancun, Mexico, November 15-17, 2016, 2016)

Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data - Ronald Clark; Sen Wang; Hongkai Wen; Niki Trigoni; Andrew Markham (CoRR, 2016)

Robust Indoor Positioning With Lifelong Learning - Zhuoling Xiao; Hongkai Wen; Andrew Markham; Niki Trigoni (IEEE J. Sel. Areas Commun., 2015)

Distortion Rejecting Magneto-Inductive Three-Dimensional Localization (MagLoc) - Traian E. Abrudan; Zhuoling Xiao; Andrew Markham; Niki Trigoni (IEEE J. Sel. Areas Commun., 2015)

Accuracy Estimation for Sensor Systems - Hongkai Wen; Zhuoling Xiao; Andrew Markham; Niki Trigoni (IEEE Trans. Mob. Comput., 2015)

Indoor Tracking Using Undirected Graphical Models - Zhuoling Xiao; Hongkai Wen; Andrew Markham; Niki Trigoni (IEEE Trans. Mob. Comput., 2015)

Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength - Zhuoling Xiao; Hongkai Wen; Andrew Markham; Niki Trigoni; Phil Blunsom; Jeff Frolik (IEEE Trans. Wirel. Commun., 2015)

Robust vision-based indoor localization - Ronald Clark; Niki Trigoni; Andrew Markham (Proceedings of the 14th International Conference on Information Processing in Sensor Networks, IPSN 2015, Seattle, WA, USA, April 14-16, 2015, 2015)

Accurate Positioning via Cross-Modality Training - Savvas Papaioannou; Hongkai Wen; Zhuoling Xiao; Andrew Markham; Niki Trigoni (Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015, Seoul, South Korea, November 1-4, 2015, 2015)

Robust pedestrian dead reckoning (R-PDR) for arbitrary mobile device placement - Zhuoling Xiao; Hongkai Wen; Andrew Markham; Niki Trigoni (2014 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2014, Busan, South Korea, October 27-30, 2014, 2014)

Lightweight map matching for indoor localisation using conditional random fields - Zhuoling Xiao; Hongkai Wen; Andrew Markham; Niki Trigoni (IPSN'14, Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (part of CPS Week), April 15-17, 2014, Berlin, Germany, 2014)

Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning - Savvas Papaioannou; Hongkai Wen; Andrew Markham; Niki Trigoni (11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2014, Philadelphia, PA, USA, October 28-30, 2014, 2014)

Human interactive secure key and identity exchange protocols in body sensor networks - Xin Huang; Bangdao Chen; Andrew Markham; Qinghua Wang; Zheng Yan; A. W. Roscoe (IET Inf. Secur., 2013)

Comparison of Accuracy Estimation Approaches for Sensor Networks - Hongkai Wen; Zhuoling Xiao; Andrew Colquhoun Symington; Andrew Markham; Niki Trigoni (IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2013, Cambridge, MA, USA, May 20-23, 2013, 2013)

Identification and mitigation of non-line-of-sight conditions using received signal strength - Zhuoling Xiao; Hongkai Wen; Andrew Markham; Niki Trigoni; Phil Blunsom; Jeff Frolik (9th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013, Lyon, France, October 7-9, 2013, 2013)

Human Interactive Secure ID Management in Body Sensor Networks - Xin Huang; Xiao Ma; Bangdao Chen; Andrew Markham; Qinghua Wang; Andrew William Roscoe (J. Networks, 2012)

WILDSENSING: Design and deployment of a sustainable sensor network for wildlife monitoring - Vladimir Dyo; Stephen A. Ellwood; David W. Macdonald; Andrew Markham; Niki Trigoni; Ricklef Wohlers; Cecilia Mascolo; Bence Pásztor; Salvatore Scellato; Kharsim Yousef (ACM Trans. Sens. Networks, 2012)

Magneto-inductive networked rescue system (MINERS): taking sensor networks underground - Andrew Markham; Niki Trigoni (The 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), IPSN 2012, Beijing, China, April 16-19, 2012, 2012)

The Automatic Evolution of Distributed Controllers to Configure Sensor Network Operation - Andrew Markham; Niki Trigoni (Comput. J., 2011)

Body sensor network key distribution using human interactive channels - Xin Huang; Qinghua Wang; Chen Bangdao; Andrew Markham; Riku Jäntti; A. W. Roscoe (Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL '11, Barcelona, Spain, October 26-29, 2011, 2011)

Discrete Gene Regulatory Networks (dGRNs): A Novel Approach to Configuring Sensor Networks - Andrew Markham; Agathoniki Trigoni (INFOCOM 2010. 29th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies, 15-19 March 2010, San Diego, CA, USA, 2010)

Evolution and sustainability of a wildlife monitoring sensor network - Vladimir Dyo; Stephen A. Ellwood; David W. Macdonald; Andrew Markham; Cecilia Mascolo; Bence Pásztor; Salvatore Scellato; Niki Trigoni; Ricklef Wohlers; Kharsim Yousef (Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, SenSys 2010, Zurich, Switzerland, November 3-5, 2010, 2010)

Revealing the hidden lives of underground animals using magneto-inductive tracking - Andrew Markham; Niki Trigoni; Stephen A. Ellwood; David W. Macdonald (Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, SenSys 2010, Zurich, Switzerland, November 3-5, 2010, 2010)

Magneto-inductive tracking of underground animals - Andrew Markham; Niki Trigoni; Stephen A. Ellwood; David W. Macdonald (Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, SenSys 2010, Zurich, Switzerland, November 3-5, 2010, 2010)

Effect of Rainfall on Link Quality in an Outdoor Forest Deployment - Andrew Markham; Niki Trigoni; Stephen A. Ellwood (WINSYS 2010 - Proceedings of the International Conference on Wireless Information Networks and Systems, Athens, Greece, July 26 - 28, 2010, WINSYS is part of ICETE - The International Joint Conference on e-Business and Telecommunications, 2010)

Wildlife and environmental monitoring using RFID and WSN technology - Vladimir Dyo; Stephen A. Ellwood; David W. Macdonald; Andrew Markham; Cecilia Mascolo; Bence Pásztor; Niki Trigoni; Ricklef Wohlers (Proceedings of the 7th International Conference on Embedded Networked Sensor Systems, SenSys 2009, Berkeley, California, USA, November 4-6, 2009, 2009)

GeoSensor Networks, Third International Conference, GSN 2009, Oxford, UK, July 13-14, 2009. Proceedings - Niki Trigoni; Andrew Markham; Sarfraz Nawaz (Springer, 2009)

The adaptive social hierarchy: a self organizing network based on naturally occurring structures - Andrew Markham; Andrew Wilkinson (1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems, BIONETICS 2006, Cavalese, Italy, December 11-13, 2006, 2006)