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2020 – today
- 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) - [c75]Yuhang He, Andrew Markham:
SoundSynp: Sound Source Detection from Raw Waveforms with Multi-Scale Synperiodic Filterbanks. AISTATS 2023: 9010-9023 - [c74]Kai Lu, Bo Yang, Bing Wang, Andrew Markham:
Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. ICRA 2023: 864-870 - [c73]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 - [i67]Savvas Papaioannou, Andrew Markham, Niki Trigoni:
Tracking People in Highly Dynamic Industrial Environments. CoRR abs/2302.00503 (2023) - [i66]Savvas Papaioannou, Hongkai Wen, Andrew Markham, Niki Trigoni:
Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning. CoRR abs/2302.02952 (2023) - [i65]Kai Lu, Bo Yang, Bing Wang, Andrew Markham:
Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. CoRR abs/2303.04016 (2023) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - 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) - [c72]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 - [c71]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 - [c70]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 - [c69]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 - [c68]Yuhang He, Andrew Markham:
SoundDoA: Learn Sound Source Direction of Arrival and Semantics from Sound Raw Waveforms. INTERSPEECH 2022: 2408-2412 - [c67]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 - [c66]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) - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]Yuhang He, Niki Trigoni, Andrew Markham:
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform. ICML 2021: 4160-4170 - [c60]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 - [c59]Wei Wang, Pedro Porto Buarque de Gusmão, Bo Yang, Andrew Markham, Niki Trigoni:
RadarLoc: Learning to Relocalize in FMCW Radar. ICRA 2021: 5809-5815 - [c58]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) - [c57]Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham:
AtLoc: Attention Guided Camera Localization. AAAI 2020: 10393-10401 - [c56]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 - [c55]Linhai Xie, Andrew Markham, Niki Trigoni:
SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference. ICRA 2020: 1682-1688 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]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) - [c49]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 - [c48]Richard Everett, Adam D. Cobb, Andrew Markham, Stephen J. Roberts:
Optimising Worlds to Evaluate and Influence Reinforcement Learning Agents. AAMAS 2019: 1943-1945 - [c47]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 - [c46]Johan Wahlström, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni:
Map-aided Navigation for Emergency Searches. DCOSS 2019: 25-32 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]Prince Abudu, Andrew Markham:
Distributed Communicating Neural Network Architecture for Smart Environments. SMARTCOMP 2019: 233-240 - [c37]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) - [c36]Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni:
IONet: Learning to Cure the Curse of Drift in Inertial Odometry. AAAI 2018: 6468-6476 - [c35]