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ORCIDAgathoniki Trigoni
Niki Trigoni
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- affiliation: University of Oxford, UK
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2020 – today
- 2024
[j46]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)- [j45]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) - [j44]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) - [c123]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 - [c122]Ada Alevizaki, Nhat Pham, Niki Trigoni:
Revealing semantic mappings across HAR datasets. DCOSS-IoT 2024: 93-100 - [c121]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 - [c120]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 - [c119]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 - [c118]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 - [i76]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) - [i75]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) - [i74]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) - [i73]Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni:
WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization. CoRR abs/2403.15272 (2024) - [i72]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) - [i71]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) - [i70]Yiyuan Yang, Niki Trigoni, Andrew Markham:
Pre-training Feature Guided Diffusion Model for Speech Enhancement. CoRR abs/2406.07646 (2024) - [i69]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) - 2023
- [j43]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) - [c117]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 - [c116]Marion Sbai, Niki Trigoni, Andrew Markham:
Multiple Early-Exits Strategy for Distributed Deep Neural Network Inference. DCOSS-IoT 2023: 34-38 - [c115]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 - [c114]Ada Alevizaki, Nhat Pham, Niki Trigoni:
Invited Paper: Hierarchical Activity Recognition with Smartwatch IMU. ICDCN 2023: 48-57 - [c113]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 - [c112]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 - [c111]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 - [c110]Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni:
DynPoint: Dynamic Neural Point For View Synthesis. NeurIPS 2023 - [i68]Savvas Papaioannou, Andrew Markham, Niki Trigoni:
Tracking People in Highly Dynamic Industrial Environments. CoRR abs/2302.00503 (2023) - [i67]Savvas Papaioannou, Hongkai Wen, Andrew Markham, Niki Trigoni:
Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning. CoRR abs/2302.02952 (2023) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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
- [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [c109]Ta Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu:
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction. AAAI 2022: 427-435 - [c108]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 - [c107]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 - [c106]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 - [c105]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 - [c104]Shuyu Lin, Ronald Clark, Niki Trigoni, Stephen J. Roberts:
Uncertainty Estimation with a VAE-Classifier Hybrid Model. ICASSP 2022: 3548-3552 - [c103]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 - [c102]Vu Tran, Zhuangzhuang Dai, Niki Trigoni, Andrew Markham:
DeepCIR: Insights into CIR-based Data-driven UWB Error Mitigation. IROS 2022: 13300-13307 - [c101]Ada Alevizaki, Niki Trigoni:
RoomE and WatchBLoc: A BLE and Smartwatch IMU Algorithm and Dataset for Room-Level Localisation in Privacy-Preserving Environments. MobiQuitous 2022: 266-289 - [c100]Niki Trigoni:
Scene Understanding in Emergency Applications: Challenges and Lessons Learnt. SENSORNETS 2022: 9 - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]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
- [j35]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) - [j34]Niki Trigoni, Gian Pietro Picco, Tarek F. Abdelzaher:
Editorial for special issue on "D-Sense: Algorithms, systems and applications of distributed sensing". Ad Hoc Networks 120: 102585 (2021) - [j33]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) - [j32]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) - [j31]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) - [c99]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 - [c98]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 - [c97]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 - [c96]Yuhang He, Niki Trigoni, Andrew Markham:
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform. ICML 2021: 4160-4170 - [c95]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 - [c94]Wei Wang, Pedro Porto Buarque de Gusmão, Bo Yang, Andrew Markham, Niki Trigoni:
RadarLoc: Learning to Relocalize in FMCW Radar. ICRA 2021: 5809-5815 - [c93]Marion Sbai, Muhamad Risqi Utama Saputra, Niki Trigoni, Andrew Markham:
Cut, Distil and Encode (CDE): Split Cloud-Edge Deep Inference. SECON 2021: 1-9 - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]Yuhang He, Niki Trigoni, Andrew Markham:
SoundDet: Polyphonic Sound Event Detection and Localization from Raw Waveform. CoRR abs/2106.06969 (2021) - [i46]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) - [i45]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) - [i44]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) - [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) - [i42]Ta Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu:
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction. CoRR abs/2112.12484 (2021) - 2020
- [j30]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) - [j29]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) - [j28]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) - [c92]Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham:
AtLoc: Attention Guided Camera Localization. AAAI 2020: 10393-10401 - [c91]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 - [c90]Shuyu Lin, Ronald Clark, Robert Birke, Sandro Schönborn, Niki Trigoni, Stephen J. Roberts:
Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model. ICASSP 2020: 4322-4326 - [c89]Linhai Xie, Andrew Markham, Niki Trigoni:
SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference. ICRA 2020: 1682-1688 - [c88]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 - [c87]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 - [c86]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 - [c85]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 - [i41]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) - [i40]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) - [i39]Rui Zhou, Changhao Chen, Bing Wang, Andrew Markham, Niki Trigoni:
MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization. CoRR abs/2003.07289 (2020) - [i38]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) - [i37]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) - [i36]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) - [i35]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) - [i34]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)
2010 – 2019
- 2019
- [j27]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) - [j26]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) - [j25]Stefano Rosa, Andrea Patane, Chris Xiaoxuan Lu, Niki Trigoni:
Semantic Place Understanding for Human-Robot Coexistence - Toward Intelligent Workplaces. IEEE Trans. Hum. Mach. Syst. 49(2): 160-170 (2019) - [j24]Hongkai Wen, Ronald Clark, Sen Wang, Xiaoxuan Lu, Bowen Du, Wen Hu, Niki Trigoni:
Efficient Indoor Positioning with Visual Experiences via Lifelong Learning. IEEE Trans. Mob. Comput. 18(4): 814-829 (2019) - [c84]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 - [c83]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 - [c82]Johan Wahlström, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni:
Map-aided Navigation for Emergency Searches. DCOSS 2019: 25-32 - [c81]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 - [c80]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 - [c79]Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts:
WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding. DGS@ICLR 2019 - [c78]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 - [c77]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 - [c76]