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2020 – today
- 2024
[j39]Zhuangzhuang Dai
, Vu Tran, Andrew Markham, Niki Trigoni, M. Arif Rahman, Lahiru N. S. Wijayasingha, John A. Stankovic, Chen Li:
EgoCap and EgoFormer: First-person image captioning with context fusion. Pattern Recognit. Lett. 181: 50-56 (2024)- [j38]Qian Xie, Ta Ying Cheng, Zhuangzhuang Dai, Vu H. Tran, Niki Trigoni, Andrew Markham:
Illumination-Aware Hallucination-Based Domain Adaptation for Thermal Pedestrian Detection. IEEE Trans. Intell. Transp. Syst. 25(1): 315-326 (2024) - [j37]Yang Xing, Stuart Golodetz, Aluna Everitt, Andrew Markham, Niki Trigoni:
Multiscale Human Activity Recognition and Anticipation Network. IEEE Trans. Neural Networks Learn. Syst. 35(1): 451-465 (2024) - [j36]Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
Deep Learning for Visual Localization and Mapping: A Survey. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17000-17020 (2024) - [c96]Yuhang He, Zhuangzhuang Dai, Niki Trigoni, Long Chen, Andrew Markham:
SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network. AAAI 2024: 12421-12429 - [c95]Sangyun Shin, Kaichen Zhou, Madhu Vankadari, Andrew Markham, Niki Trigoni:
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation. CVPR 2024: 4060-4069 - [c94]Ta Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomír Mech, Andrew Markham, Niki Trigoni:
Learning Continuous 3D Words for Text-to-Image Generation. CVPR 2024: 6753-6762 - [c93]Ta Ying Cheng, Prafull Sharma, Andrew Markham, Niki Trigoni, Varun Jampani:
ZeST: Zero-Shot Material Transfer from a Single Image. ECCV (1) 2024: 370-386 - [c92]Yiyuan Yang, Kaichen Zhou, Niki Trigoni, Andrew Markham:
SSL-Net: A Synergistic Spectral and Learning-Based Network for Efficient Bird Sound Classification. ICASSP 2024: 926-930 - [c91]Yuhang He, Anoop Cherian, Gordon Wichern, Andrew Markham:
Deep Neural Room Acoustics Primitive. ICML 2024 - [c90]Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham:
Learning to Catch Reactive Objects with a Behavior Predictor. ICRA 2024: 9205-9211 - [c89]Madhu Vankadari, Samuel Hodgson, Sangyun Shin, Kaichen Zhou, Andrew Markham, Niki Trigoni:
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models. ICRA 2024: 17976-17982 - [c88]Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni:
WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization via Radiance Field. IROS 2024: 8414-8420 - [c87]Kai Lu, Kim Tien Ly, William Hebberd, Kaichen Zhou, Ioannis Havoutis, Andrew Markham:
Learning Generalizable Manipulation Policy with Adapter-Based Parameter Fine-Tuning. IROS 2024: 13510-13517 - [c86]Sangyun Shin, Yuhang He, Madhu Vankadari, Ta Ying Cheng, Qian Xie, Andrew Markham, Niki Trigoni:
Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection. NeurIPS 2024 - [c85]Qian Xie, Ta Ying Cheng, Jia-Xing Zhong, Kaichen Zhou, Andrew Markham, Niki Trigoni:
Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection. WACV 2024: 644-653 - [c84]Yuhang He, Sangyun Shin, Anoop Cherian, Niki Trigoni, Andrew Markham:
Sound3DVDet: 3D Sound Source Detection using Multiview Microphone Array and RGB Images. WACV 2024: 5484-5495 - [i85]Ta Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomír Mech, Andrew Markham, Niki Trigoni:
Learning Continuous 3D Words for Text-to-Image Generation. CoRR abs/2402.08654 (2024) - [i84]Chun-Hsiao Yeh, Ta Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, Hsiang-Tsung Kung, Yubei Chen:
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. CoRR abs/2402.15504 (2024) - [i83]Chenyang Ma, Kai Lu, Ta Ying Cheng, Niki Trigoni, Andrew Markham:
See, Imagine, Plan: Discovering and Hallucinating Tasks from a Single Image. CoRR abs/2403.13438 (2024) - [i82]Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni:
WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization. CoRR abs/2403.15272 (2024) - [i81]Ta Ying Cheng, Prafull Sharma, Andrew Markham, Niki Trigoni, Varun Jampani:
ZeST: Zero-Shot Material Transfer from a Single Image. CoRR abs/2404.06425 (2024) - [i80]Madhu Vankadari, Samuel Hodgson, Sangyun Shin, Kaichen Zhou, Andrew Markham, Niki Trigoni:
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models. CoRR abs/2405.11158 (2024) - [i79]Yiyuan Yang, Niki Trigoni, Andrew Markham:
Pre-training Feature Guided Diffusion Model for Speech Enhancement. CoRR abs/2406.07646 (2024) - [i78]Yuhang He, Shitong Xu, Jia-Xing Zhong, Sangyun Shin, Niki Trigoni, Andrew Markham:
SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field. CoRR abs/2406.11006 (2024) - [i77]Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni:
MambaLoc: Efficient Camera Localisation via State Space Model. CoRR abs/2408.09680 (2024) - [i76]Qianyi Deng, Oishi Deb, Amir Patel, Christian Rupprecht, Philip Torr, Niki Trigoni, Andrew Markham:
Towards Multi-Modal Animal Pose Estimation: An In-Depth Analysis. CoRR abs/2410.09312 (2024) - [i75]Vít Ruzicka, Andrew Markham:
HyperspectralViTs: General Hyperspectral Models for On-board Remote Sensing. CoRR abs/2410.17248 (2024) - [i74]Yuhang He, Yash Jain, Xubo Liu, Andrew Markham, Vibhav Vineet:
RiTTA: Modeling Event Relations in Text-to-Audio Generation. CoRR abs/2412.15922 (2024) - [i73]Yuhang He, Sangyun Shin, Anoop Cherian, Niki Trigoni, Andrew Markham:
SoundLoc3D: Invisible 3D Sound Source Localization and Classification Using a Multimodal RGB-D Acoustic Camera. CoRR abs/2412.16861 (2024) - 2023
- [j35]Ben Moseley, Andrew Markham, Tarje Nissen-Meyer:
Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations. Adv. Comput. Math. 49(4): 62 (2023) - [j34]Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals. IEEE Internet Things J. 10(12): 10236-10249 (2023) - [j33]Sheng Ao, Yulan Guo, Qingyong Hu, Bo Yang, Andrew Markham, Zengping Chen:
You Only Train Once: Learning General and Distinctive 3D Local Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3949-3967 (2023) - [c83]Yuhang He, Andrew Markham:
SoundSynp: Sound Source Detection from Raw Waveforms with Multi-Scale Synperiodic Filterbanks. AISTATS 2023: 9010-9023 - [c82]Qian Xie, Qianyi Deng, Ta Ying Cheng, Peijun Zhao, Amir Patel, Niki Trigoni, Andrew Markham:
mmPoint: Dense Human Point Cloud Generation from mmWave. BMVC 2023: 194-196 - [c81]Marion Sbai, Niki Trigoni, Andrew Markham:
Multiple Early-Exits Strategy for Distributed Deep Neural Network Inference. DCOSS-IoT 2023: 34-38 - [c80]Ta Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Mech, Andrew Markham, Niki Trigoni:
3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets. ICCV 2023: 9297-9307 - [c79]Kai Lu, Bo Yang, Bing Wang, Andrew Markham:
Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. ICRA 2023: 864-870 - [c78]Sangyun Shin, Stuart Golodetz, Madhu Vankadari, Kaichen Zhou, Andrew Markham, Niki Trigoni:
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR. ICRA 2023: 7090-7096 - [c77]Vít Ruzicka, Gonzalo Mateo-García, Chris Bridges, Chris Brunskill, Cormac Purcell, Nicolas Longépé, Andrew Markham:
Fast Model Inference and Training On-Board of Satellites. IGARSS 2023: 2002-2005 - [c76]Jialu Wang, Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Conditions. IROS 2023: 3335-3342 - [c75]Jia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni:
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation. NeurIPS 2023 - [c74]Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni:
DynPoint: Dynamic Neural Point For View Synthesis. NeurIPS 2023 - [i72]Savvas Papaioannou, Andrew Markham, Niki Trigoni:
Tracking People in Highly Dynamic Industrial Environments. CoRR abs/2302.00503 (2023) - [i71]Savvas Papaioannou, Hongkai Wen, Andrew Markham, Niki Trigoni:
Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning. CoRR abs/2302.02952 (2023) - [i70]Kai Lu, Bo Yang, Bing Wang, Andrew Markham:
Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. CoRR abs/2303.04016 (2023) - [i69]Jia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni:
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation. CoRR abs/2306.05584 (2023) - [i68]Vít Ruzicka, Gonzalo Mateo-García, Chris Bridges, Chris Brunskill, Cormac Purcell, Nicolas Longépé, Andrew Markham:
Fast model inference and training on-board of Satellites. CoRR abs/2307.08700 (2023) - [i67]Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
Deep Learning for Visual Localization and Mapping: A Survey. CoRR abs/2308.14039 (2023) - [i66]Yiyuan Yang, Kaichen Zhou, Niki Trigoni, Andrew Markham:
SSL-Net: A Synergistic Spectral and Learning-based Network for Efficient Bird Sound Classification. CoRR abs/2309.08072 (2023) - [i65]Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni:
DynPoint: Dynamic Neural Point For View Synthesis. CoRR abs/2310.18999 (2023) - [i64]Ta Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Mech, Andrew Markham, Niki Trigoni:
3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets. CoRR abs/2310.19188 (2023) - [i63]Sangyun Shin, Kaichen Zhou, Madhu Vankadari, Andrew Markham, Niki Trigoni:
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation. CoRR abs/2312.11269 (2023) - [i62]Kaichen Zhou, Jia-Xing Zhong, Jia-Wang Bian, Qian Xie, Jian-Qing Zheng, Niki Trigoni, Andrew Markham:
MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios. CoRR abs/2312.15268 (2023) - [i61]Yuhang He, Zhuangzhuang Dai, Long Chen, Niki Trigoni, Andrew Markham:
SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network. CoRR abs/2312.16149 (2023) - 2022
- [j32]Zhuangzhuang Dai, Yuhang He, Vu Tran, Niki Trigoni, Andrew Markham:
DeepAoANet: Learning Angle of Arrival From Software Defined Radios With Deep Neural Networks. IEEE Access 10: 3164-3176 (2022) - [j31]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. Int. J. Comput. Vis. 130(2): 316-343 (2022) - [j30]Yasin Almalioglu, Mehmet Turan, Niki Trigoni, Andrew Markham:
Deep learning-based robust positioning for all-weather autonomous driving. Nat. Mac. Intell. 4(9): 749-760 (2022) - [j29]Yasin Almalioglu, Mehmet Turan, Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni:
SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation. Neural Networks 150: 119-136 (2022) - [j28]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8338-8354 (2022) - [j27]Bo Wei, Niki Trigoni, Andrew Markham:
iMag+: An Accurate and Rapidly Deployable Inertial Magneto-Inductive SLAM System. IEEE Trans. Mob. Comput. 21(10): 3644-3655 (2022) - [j26]Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Pedro Porto Buarque de Gusmão, Bing Wang, Andrew Markham, Niki Trigoni:
Graph-Based Thermal-Inertial SLAM With Probabilistic Neural Networks. IEEE Trans. Robotics 38(3): 1875-1893 (2022) - [c73]Madhu Vankadari, Stuart Golodetz, Sourav Garg, Sangyun Shin, Andrew Markham, Niki Trigoni:
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation. CoRL 2022: 1992-2003 - [c72]Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham:
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CVPR 2022: 8500-8510 - [c71]Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. ECCV (27) 2022: 600-619 - [c70]Ta Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham:
Meta-sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds. ECCV (2) 2022: 694-710 - [c69]Yuhang He, Andrew Markham:
SoundDoA: Learn Sound Source Direction of Arrival and Semantics from Sound Raw Waveforms. INTERSPEECH 2022: 2408-2412 - [c68]Stuart Golodetz, Madhu Vankadari, Aluna Everitt, Sangyun Shin, Andrew Markham, Niki Trigoni:
Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV. IROS 2022: 325-332 - [c67]Vu Tran, Zhuangzhuang Dai, Niki Trigoni, Andrew Markham:
DeepCIR: Insights into CIR-based Data-driven UWB Error Mitigation. IROS 2022: 13300-13307 - [i60]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. CoRR abs/2201.04494 (2022) - [i59]Stuart Golodetz, Madhu Vankadari, Aluna Everitt, Sangyun Shin, Andrew Markham, Niki Trigoni:
Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV. CoRR abs/2203.02453 (2022) - [i58]Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham:
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CoRR abs/2203.11113 (2022) - [i57]Ta Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham:
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds. CoRR abs/2203.16001 (2022) - [i56]Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby P. Breckon, Ling Shao, Niki Trigoni, Andrew Markham:
RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. CoRR abs/2204.09138 (2022) - [i55]Madhu Vankadari, Stuart Golodetz, Sourav Garg, Sangyun Shin, Andrew Markham, Niki Trigoni:
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation. CoRR abs/2206.13850 (2022) - [i54]Sangyun Shin, Stuart Golodetz, Madhu Vankadari, Kaichen Zhou, Andrew Markham, Niki Trigoni:
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR. CoRR abs/2209.10471 (2022) - 2021
- [j25]Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Changhao Chen, Wei Wang, Niki Trigoni, Andrew Markham:
Human tracking and identification through a millimeter wave radar. Ad Hoc Networks 116: 102475 (2021) - [j24]Changhao Chen, Chris Xiaoxuan Lu, Johan Wahlström, Andrew Markham, Niki Trigoni:
Deep Neural Network Based Inertial Odometry Using Low-Cost Inertial Measurement Units. IEEE Trans. Mob. Comput. 20(4): 1351-1364 (2021) - [j23]Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni:
Learning With Stochastic Guidance for Robot Navigation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 166-176 (2021) - [j22]Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5479-5491 (2021) - [c66]Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi Utama Saputra, Niki Trigoni, Andrew Markham:
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization. AAAI 2021: 6165-6173 - [c65]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. CVPR 2021: 4977-4987 - [c64]Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo:
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. CVPR 2021: 11753-11762 - [c63]Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham:
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. ICCV 2021: 15984-15993 - [c62]Yuhang He, Niki Trigoni, Andrew Markham:
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform. ICML 2021: 4160-4170 - [c61]Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
3D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar. ICRA 2021: 5186-5192 - [c60]Wei Wang, Pedro Porto Buarque de Gusmão, Bo Yang, Andrew Markham, Niki Trigoni:
RadarLoc: Learning to Relocalize in FMCW Radar. ICRA 2021: 5809-5815 - [c59]Marion Sbai, Muhamad Risqi Utama Saputra, Niki Trigoni, Andrew Markham:
Cut, Distil and Encode (CDE): Split Cloud-Edge Deep Inference. SECON 2021: 1-9 - [e2]Jorge Sá Silva, Fernando Boavida, André Rodrigues, Andrew Markham, Rong Zheng:
SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15 - 17, 2021. ACM 2021, ISBN 978-1-4503-9097-2 [contents] - [i53]Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham:
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. CoRR abs/2103.01055 (2021) - [i52]Wei Wang, Pedro P. B. de Gusmao, Bo Yang, Andrew Markham, Niki Trigoni:
RadarLoc: Learning to Relocalize in FMCW Radar. CoRR abs/2103.11562 (2021) - [i51]Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels. CoRR abs/2104.04891 (2021) - [i50]Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Pedro P. B. de Gusmao, Bing Wang, Andrew Markham, Niki Trigoni:
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks. CoRR abs/2104.07196 (2021) - [i49]Yuhang He, Niki Trigoni, Andrew Markham:
SoundDet: Polyphonic Sound Event Detection and Localization from Raw Waveform. CoRR abs/2106.06969 (2021) - [i48]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling. CoRR abs/2107.02389 (2021) - [i47]Ben Moseley, Andrew Markham, Tarje Nissen-Meyer:
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations. CoRR abs/2107.07871 (2021) - [i46]Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals. CoRR abs/2111.03976 (2021) - [i45]Zhuangzhuang Dai, Yuhang He, Tran Vu, Niki Trigoni, Andrew Markham:
DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks. CoRR abs/2112.00695 (2021) - [i44]Jialu Wang, Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Niki Trigon, Andrew Markham:
RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather. CoRR abs/2112.02469 (2021) - [i43]Zhuangzhuang Dai, Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Andrew Markham, Niki Trigoni:
Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment. CoRR abs/2112.05665 (2021) - 2020
- [j21]Prince Abudu, Andrew Markham:
Learning distributed communication and computation in the IoT. Comput. Commun. 161: 150-159 (2020) - [j20]Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni:
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction. Int. J. Comput. Vis. 128(1): 53-73 (2020) - [j19]Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni:
Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference. IEEE Internet Things J. 7(5): 4431-4441 (2020) - [j18]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:
DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination. IEEE Robotics Autom. Lett. 5(2): 1672-1679 (2020) - [c58]Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham:
AtLoc: Attention Guided Camera Localization. AAAI 2020: 10393-10401 - [c57]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CVPR 2020: 11105-11114 - [c56]Linhai Xie, Andrew Markham, Niki Trigoni:
SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference. ICRA 2020: 1682-1688 - [c55]Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Changhao Chen, Linhai Xie, Mengyu Wang, Niki Trigoni, Andrew Markham:
Heart Rate Sensing with a Robot Mounted mmWave Radar. ICRA 2020: 2812-2818 - [c54]Chris Xiaoxuan Lu, Stefano Rosa, Peijun Zhao, Bing Wang, Changhao Chen, John A. Stankovic, Niki Trigoni, Andrew Markham:
See through smoke: robust indoor mapping with low-cost mmWave radar. MobiSys 2020: 14-27 - [c53]Chris Xiaoxuan Lu, Muhamad Risqi Utama Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham:
milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion. SenSys 2020: 109-122 - [c52]Zhuangzhuang Dai, Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
Indoor positioning system in visually-degraded environments with millimetre-wave radar and inertial sensors: demo abstract. SenSys 2020: 623-624 - [c51]Prince Abudu, Andrew Markham:
Deep Emergent Communication for the IoT. SMARTCOMP 2020: 130-137 - [i42]Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni:
Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference. CoRR abs/2001.04061 (2020) - [i41]Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni:
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. CoRR abs/2003.02392 (2020) - [i40]Rui Zhou, Changhao Chen, Bing Wang, Andrew Markham, Niki Trigoni:
MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization. CoRR abs/2003.07289 (2020) - [i39]Chris Xiaoxuan Lu, Muhamad Risqi Utama Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham:
milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion. CoRR abs/2006.02266 (2020) - [i38]Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence. CoRR abs/2006.12567 (2020) - [i37]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. CoRR abs/2009.03137 (2020) - [i36]Zhuangzhuang Dai, Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors. CoRR abs/2010.13750 (2020) - [i35]Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar. CoRR abs/2011.06730 (2020) - [i34]Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo:
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. CoRR abs/2011.12149 (2020)
2010 – 2019
- 2019
- [j17]Chris Xiaoxuan Lu, Yuanbo Xiangli, Peijun Zhao, Changhao Chen, Niki Trigoni, Andrew Markham:
Autonomous Learning of Speaker Identity and WiFi Geofence From Noisy Sensor Data. IEEE Internet Things J. 6(5): 8284-8295 (2019) - [j16]Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen:
Dense 3D Object Reconstruction from a Single Depth View. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2820-2834 (2019) - [c50]Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni:
MotionTransformer: Transferring Neural Inertial Tracking between Domains. AAAI 2019: 8009-8016 - [c49]Richard Everett, Adam D. Cobb, Andrew Markham, Stephen J. Roberts:
Optimising Worlds to Evaluate and Influence Reinforcement Learning Agents. AAMAS 2019: 1943-1945 - [c48]Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni:
Selective Sensor Fusion for Neural Visual-Inertial Odometry. CVPR 2019: 10542-10551 - [c47]Johan Wahlström, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni:
Map-aided Navigation for Emergency Searches. DCOSS 2019: 25-32 - [c46]Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Changhao Chen, Wei Wang, Niki Trigoni, Andrew Markham:
mID: Tracking and Identifying People with Millimeter Wave Radar. DCOSS 2019: 33-40 - [c45]Yuanbo Xiangli, Chris Xiaoxuan Lu, Peijun Zhao, Changhao Chen, Andrew Markham:
iSCAN: automatic speaker adaptation via iterative cross-modality association. UbiComp/ISWC Adjunct 2019: 529-533 - [c44]Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Yasin Almalioglu, Andrew Markham, Niki Trigoni:
Distilling Knowledge From a Deep Pose Regressor Network. ICCV 2019: 263-272 - [c43]Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning. ICRA 2019: 3549-3555 - [c42]Yasin Almalioglu, Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni:
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks. ICRA 2019: 5474-5480 - [c41]Wei Wang, Muhamad Risqi Utama Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni:
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. IROS 2019: 3248-3254 - [c40]Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. NeurIPS 2019: 6737-6746 - [c39]Prince Abudu, Andrew Markham:
Distributed Communicating Neural Network Architecture for Smart Environments. SMARTCOMP 2019: 233-240 - [c38]Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John A. Stankovic:
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues. WWW 2019: 1175-1186 - [i33]Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni:
Selective Sensor Fusion for Neural Visual-Inertial Odometry. CoRR abs/1903.01534 (2019) - [i32]Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning. CoRR abs/1903.10543 (2019) - [i31]Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. CoRR abs/1906.01140 (2019) - [i30]Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Yasin Almalioglu, Andrew Markham, Niki Trigoni:
Distilling Knowledge From a Deep Pose Regressor Network. CoRR abs/1908.00858 (2019) - [i29]Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction. CoRR abs/1908.03918 (2019) - [i28]Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John A. Stankovic:
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues. CoRR abs/1908.09002 (2019) - [i27]Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham:
AtLoc: Attention Guided Camera Localization. CoRR abs/1909.03557 (2019) - [i26]Yasin Almalioglu, Mehmet Turan, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor. CoRR abs/1909.05774 (2019) - [i25]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:
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination. CoRR abs/1909.07231 (2019) - [i24]Adam D. Cobb, Atilim Günes Baydin, Andrew Markham, Stephen J. Roberts:
Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo. CoRR abs/1910.06243 (2019) - [i23]Wei Wang, Muhamad Risqi Utama Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni:
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. CoRR abs/1910.11088 (2019) - [i22]Yasin Almalioglu, Mehmet Turan, Alp Eren Sari, Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni:
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation. CoRR abs/1911.09968 (2019) - [i21]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CoRR abs/1911.11236 (2019) - [i20]Chris Xiaoxuan Lu, Bowen Du, Hongkai Wen, Sen Wang, Andrew Markham, Ivan Martinovic, Yiran Shen, Niki Trigoni:
Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning. CoRR abs/1912.04836 (2019) - [i19]Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion. CoRR abs/1912.13077 (2019) - 2018
- [j15]Muhamad Risqi Utama Saputra, Andrew Markham, Niki Trigoni:
Visual SLAM and Structure from Motion in Dynamic Environments: A Survey. ACM Comput. Surv. 51(2): 37:1-37:36 (2018) - [c37]Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni:
IONet: Learning to Cure the Curse of Drift in Inertial Odometry. AAAI 2018: 6468-6476 - [c36]Bo Yang, Zihang Lai, Xiaoxuan Lu, Shuyu Lin, Hongkai Wen, Andrew Markham, Niki Trigoni:
Learning 3D Scene Semantics and Structure From a Single Depth Image. CVPR Workshops 2018: 309-312 - [c35]Lennin Arriola, Andrew Markham:
Towards an enterprise architecture controlling framework. ECSA (Companion) 2018: 38:1-38:7 - [c34]Chris Xiaoxuan Lu, Bowen Du, Peijun Zhao, Hongkai Wen, Yiran Shen, Andrew Markham, Niki Trigoni:
Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics. UbiComp 2018: 204-207 - [c33]Bo Wei, Niki Trigoni, Andrew Markham:
iMag: Accurate and Rapidly Deployable Inertial Magneto-Inductive Localisation. ICRA 2018: 99-106 - [c32]Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham:
DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks. ICRA 2018: 2440-2447 - [c31]Linhai Xie, Sen Wang, Stefano Rosa, Andrew Markham, Niki Trigoni:
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning. ICRA 2018: 6276-6283 - [c30]Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham:
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations. IJCAI 2018: 4958-4964 - [c29]Adam D. Cobb, Richard Everett, Andrew Markham, Stephen J. Roberts:
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus. KDD 2018: 1254-1262 - [c28]Chris Xiaoxuan Lu, Peijun Zhao, Bowen Du, Hongkai Wen, Andrew Markham, Stefano Rosa, Niki Trigoni:
Automatic Face Recognition Adaptation via Ambient Wireless Identifiers. SenSys 2018: 377-378 - [i18]Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen:
3D Object Dense Reconstruction from a Single Depth View. CoRR abs/1802.00411 (2018) - [i17]Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni:
IONet: Learning to Cure the Curse of Drift in Inertial Odometry. CoRR abs/1802.02209 (2018) - [i16]Adam D. Cobb, Richard Everett, Andrew Markham, Stephen J. Roberts:
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus. CoRR abs/1802.10446 (2018) - [i15]Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham:
Defo-Net: Learning Body Deformation using Generative Adversarial Networks. CoRR abs/1804.05928 (2018) - [i14]Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham:
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations. CoRR abs/1805.00328 (2018) - [i13]Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni:
Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction. CoRR abs/1808.00758 (2018) - [i12]Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni:
Neural Allocentric Intuitive Physics Prediction from Real Videos. CoRR abs/1809.03330 (2018) - [i11]Yasin Almalioglu, Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Andrew Markham, Niki Trigoni:
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks. CoRR abs/1809.05786 (2018) - [i10]Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni:
OxIOD: The Dataset for Deep Inertial Odometry. CoRR abs/1809.07491 (2018) - [i9]Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni:
Transferring Physical Motion Between Domains for Neural Inertial Tracking. CoRR abs/1810.02076 (2018) - [i8]Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni:
Learning with Stochastic Guidance for Navigation. CoRR abs/1811.10756 (2018) - [i7]Linhai Xie, Sen Wang, Stefano Rosa, Andrew Markham, Niki Trigoni:
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning. CoRR abs/1812.05027 (2018) - 2017
- [j14]Chris Xiaoxuan Lu, Bowen Du, Hongkai Wen, Sen Wang, Andrew Markham, Ivan Martinovic, Yiran Shen, Niki Trigoni:
Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(4): 152:1-152:29 (2017) - [j13]Savvas Papaioannou, Andrew Markham, Niki Trigoni:
Tracking People in Highly Dynamic Industrial Environments. IEEE Trans. Mob. Comput. 16(8): 2351-2365 (2017) - [c27]Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni:
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. AAAI 2017: 3995-4001 - [c26]Lianlong Wu, Andrew Markham:
Evolutionary Machine Learning for RTS Game StarCraft. AAAI 2017: 5007-5008 - [c25]Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen:
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization. CVPR 2017: 2652-2660 - [c24]Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni:
3D Object Reconstruction from a Single Depth View with Adversarial Learning. ICCV Workshops 2017: 679-688 - [c23]Chris Xiaoxuan Lu, Hongkai Wen, Sen Wang, Andrew Markham, Niki Trigoni:
SCAN: learning speaker identity from noisy sensor data. IPSN 2017: 67-78 - [c22]Linhai Xie, Sen Wang, Andrew Markham, Niki Trigoni:
GraphTinker: Outlier rejection and inlier injection for pose graph SLAM. IROS 2017: 6777-6784 - [c21]Chris Xiaoxuan Lu, Bowen Du, Xuan Kan, Hongkai Wen, Andrew Markham, Niki Trigoni:
VeriNet: User Verification on Smartwatches via Behavior Biometrics. CrowdSenSys@SenSys 2017: 68-73 - [c20]Chris Xiaoxuan Lu, Xuan Kan, Stefano Rosa, Bowen Du, Hongkai Wen, Andrew Markham, Niki Trigoni:
Towards Self-supervised Face Labeling via Cross-modality Association. SenSys 2017: 70:1-70:2 - [c19]Neil Dhir, Matthijs Vákár, Matthew Wijers, Andrew Markham, Frank D. Wood:
Interpreting Lion Behaviour as Probabilistic Programs. UAI 2017 - [i6]Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni:
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. CoRR abs/1701.08376 (2017) - [i5]Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen:
VidLoc: 6-DoF Video-Clip Relocalization. CoRR abs/1702.06521 (2017) - [i4]Linhai Xie, Sen Wang, Andrew Markham, Niki Trigoni:
Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning. CoRR abs/1706.09829 (2017) - [i3]Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni:
3D Object Reconstruction from a Single Depth View with Adversarial Learning. CoRR abs/1708.07969 (2017) - [i2]Adam D. Cobb, Andrew Markham, Stephen J. Roberts:
Learning from lions: inferring the utility of agents from their trajectories. CoRR abs/1709.02357 (2017) - 2016
- [j12]Traian E. Abrudan, Orfeas Kypris, Niki Trigoni, Andrew Markham:
Impact of Rocks and Minerals on Underground Magneto-Inductive Communication and Localization. IEEE Access 4: 3999-4010 (2016) - [j11]Traian E. Abrudan, Zhuoling Xiao, Andrew Markham, Niki Trigoni:
Underground Incrementally Deployed Magneto-Inductive 3-D Positioning Network. IEEE Trans. Geosci. Remote. Sens. 54(8): 4376-4391 (2016) - [j10]Orfeas Kypris, Traian E. Abrudan, Andrew Markham:
Magnetic Induction-Based Positioning in Distorted Environments. IEEE Trans. Geosci. Remote. Sens. 54(8): 4605-4612 (2016) - [c18]Zhihua Wang, Orfeas Kypris, Andrew Markham:
RePWR: Wireless Power Transfer within Reinforced Concrete. ENSsys@SenSys 2016: 1-6 - [c17]Ronald Clark, Sen Wang, Hongkai Wen, Niki Trigoni, Andrew Markham:
Increasing the efficiency of 6-DoF visual localization using multi-modal sensory data. Humanoids 2016: 973-980 - [i1]Ronald Clark, Sen Wang, Hongkai Wen, Niki Trigoni, Andrew Markham:
Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data. CoRR abs/1612.09257 (2016) - 2015
- [j9]Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni:
Robust Indoor Positioning With Lifelong Learning. IEEE J. Sel. Areas Commun. 33(11): 2287-2301 (2015) - [j8]Traian E. Abrudan, Zhuoling Xiao, Andrew Markham, Niki Trigoni:
Distortion Rejecting Magneto-Inductive Three-Dimensional Localization (MagLoc). IEEE J. Sel. Areas Commun. 33(11): 2404-2417 (2015) - [j7]Hongkai Wen, Zhuoling Xiao, Andrew Markham, Niki Trigoni:
Accuracy Estimation for Sensor Systems. IEEE Trans. Mob. Comput. 14(7): 1330-1343 (2015) - [j6]Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni:
Indoor Tracking Using Undirected Graphical Models. IEEE Trans. Mob. Comput. 14(11): 2286-2301 (2015) - [j5]Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni, Phil Blunsom, Jeff Frolik:
Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength. IEEE Trans. Wirel. Commun. 14(3): 1689-1702 (2015) - [c16]Ronald Clark, Niki Trigoni, Andrew Markham:
Robust vision-based indoor localization. IPSN 2015: 378-379 - [c15]Savvas Papaioannou, Hongkai Wen, Zhuoling Xiao, Andrew Markham, Niki Trigoni:
Accurate Positioning via Cross-Modality Training. SenSys 2015: 239-251 - 2014
- [c14]Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni:
Robust pedestrian dead reckoning (R-PDR) for arbitrary mobile device placement. IPIN 2014: 187-196 - [c13]Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni:
Lightweight map matching for indoor localisation using conditional random fields. IPSN 2014: 131-142 - [c12]Savvas Papaioannou, Hongkai Wen, Andrew Markham, Niki Trigoni:
Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning. MASS 2014: 109-117 - 2013
- [j4]Xin Huang, Bangdao Chen, Andrew Markham, Qinghua Wang, Zheng Yan, A. W. Roscoe:
Human interactive secure key and identity exchange protocols in body sensor networks. IET Inf. Secur. 7(1): 30-38 (2013) - [c11]Hongkai Wen, Zhuoling Xiao, Andrew Colquhoun Symington, Andrew Markham, Niki Trigoni:
Comparison of Accuracy Estimation Approaches for Sensor Networks. DCOSS 2013: 28-35 - [c10]Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni, Phil Blunsom, Jeff Frolik:
Identification and mitigation of non-line-of-sight conditions using received signal strength. WiMob 2013: 667-674 - 2012
- [j3]Xin Huang, Xiao Ma, Bangdao Chen, Andrew Markham, Qinghua Wang, Andrew William Roscoe:
Human Interactive Secure ID Management in Body Sensor Networks. J. Networks 7(9): 1400-1406 (2012) - [j2]Vladimir Dyo, Stephen A. Ellwood, David W. Macdonald, Andrew Markham, Niki Trigoni, Ricklef Wohlers, Cecilia Mascolo, Bence Pásztor, Salvatore Scellato, Kharsim Yousef:
WILDSENSING: Design and deployment of a sustainable sensor network for wildlife monitoring. ACM Trans. Sens. Networks 8(4): 29:1-29:33 (2012) - [c9]Andrew Markham, Niki Trigoni:
Magneto-inductive networked rescue system (MINERS): taking sensor networks underground. IPSN 2012: 317-328 - 2011
- [j1]Andrew Markham, Niki Trigoni:
The Automatic Evolution of Distributed Controllers to Configure Sensor Network Operation. Comput. J. 54(3): 421-438 (2011) - [c8]Xin Huang, Qinghua Wang, Chen Bangdao, Andrew Markham, Riku Jäntti, A. W. Roscoe:
Body sensor network key distribution using human interactive channels. ISABEL 2011: 143:1-143:5 - 2010
- [c7]Andrew Markham, Agathoniki Trigoni:
Discrete Gene Regulatory Networks (dGRNs): A Novel Approach to Configuring Sensor Networks. INFOCOM 2010: 641-649 - [c6]Vladimir Dyo, Stephen A. Ellwood, David W. Macdonald, Andrew Markham, Cecilia Mascolo, Bence Pásztor, Salvatore Scellato, Niki Trigoni, Ricklef Wohlers, Kharsim Yousef:
Evolution and sustainability of a wildlife monitoring sensor network. SenSys 2010: 127-140 - [c5]Andrew Markham, Niki Trigoni, Stephen A. Ellwood, David W. Macdonald:
Revealing the hidden lives of underground animals using magneto-inductive tracking. SenSys 2010: 281-294 - [c4]Andrew Markham, Niki Trigoni, Stephen A. Ellwood, David W. Macdonald:
Magneto-inductive tracking of underground animals. SenSys 2010: 365-366 - [c3]Andrew Markham, Niki Trigoni, Stephen A. Ellwood:
Effect of Rainfall on Link Quality in an Outdoor Forest Deployment. WINSYS 2010: 148-153
2000 – 2009
- 2009
- [c2]Vladimir Dyo, Stephen A. Ellwood, David W. Macdonald, Andrew Markham, Cecilia Mascolo, Bence Pásztor, Niki Trigoni, Ricklef Wohlers:
Wildlife and environmental monitoring using RFID and WSN technology. SenSys 2009: 371-372 - [e1]Niki Trigoni, Andrew Markham, Sarfraz Nawaz:
GeoSensor Networks, Third International Conference, GSN 2009, Oxford, UK, July 13-14, 2009. Proceedings. Lecture Notes in Computer Science 5659, Springer 2009, ISBN 978-3-642-02902-8 [contents] - 2006
- [c1]Andrew Markham, Andrew Wilkinson:
The adaptive social hierarchy: a self organizing network based on naturally occurring structures. BIONETICS 2006: 35
Coauthor Index
Pedro Porto Buarque de Gusmão
aka: Pedro P. B. de Gusmao
aka: Pedro P. B. de Gusmao
Xiaoxuan Lu 0001
aka: Chris Xiaoxuan Lu
aka: Chris Xiaoxuan Lu
[j36] [j34] [c76] [i67] [j26] [j25] [j24] [j22] [c63] [c61] [i53] [i50] [i46] [i44] [i43] [j19] [j18] [c58] [c55] [c54] [c53] [c52] [i42] [i39] [i38] [i36] [i35] [j17] [c50] [c48] [c46] [c45] [c38] [i33] [i29] [i28] [i27] [i26] [i25] [i20] [i19] [c37] [c36] [c34] [c28] [i17] [i10] [i9] [j14] [c23] [c21] [c20]
Sang-Yun Shin
aka: Sangyun Shin
aka: Sangyun Shin
Agathoniki Trigoni
aka: Niki Trigoni
aka: Niki Trigoni
[j39] [j38] [j37] [j36] [c96] [c95] [c94] [c93] [c92] [c89] [c88] [c86] [c85] [c84] [i85] [i84] [i83] [i82] [i81] [i80] [i79] [i78] [i77] [i76] [i73] [j34] [c82] [c81] [c80] [c78] [c76] [c75] [c74] [i72] [i71] [i69] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [c73] [c72] [c71] [c70] [c68] [c67] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [j25] [j24] [j23] [j22] [c66] [c65] [c63] [c62] [c61] [c60] [c59] [i53] [i52] [i51] [i50] [i49] [i48] [i46] [i45] [i43] [j20] [j19] [j18] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [j17] [j16] [c50] [c48] [c47] [c46] [c44] [c43] [c42] [c41] [c40] [c38] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i23] [i22] [i21] [i20] [i19] [j15] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c28] [i18] [i17] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [j14] [j13] [c27] [c25] [c24] [c23] [c22] [c21] [c20] [i6] [i5] [i4] [i3] [j12] [j11] [c17] [i1] [j9] [j8] [j7] [j6] [j5] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [j2] [c9] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [e1]
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2025-02-08 00:48 CET by the dblp team
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