Niki Trigoni - Concepedia

Author

Niki Trigoni

Also Known As

A. Trigoni, Agathoniki Trigoni, Hu, Congying, Hutchison, David, Ji, Zhe, Murphy, Amy L, N. Trigoni, Niki Trigoni, Trigoni, N, Trigoni, Niki

341

Publications

14K

Citations

H-Index

199

Concepts

All Affiliations

University of Oxford University of Warwick National University of Defense Technology University of Edinburgh Heriot-Watt University

About

Niki Trigoni is an author at University of Oxford specializing in engineering, machine vision, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	55	119	11.8K
2	Health Sciences	7	7	370
3	Business	2	2	109
4	Education	1	1	45
5	Management	1	1	32

Niki Trigoni

134

Publications

12.6K

Citations

H-Index

Page 1

	Year	Citations
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds Qingyong Hu, Bo Yang, Linhai Xie, Geometric Modeling3D Computer VisionEfficient Semantic SegmentationMachine VisionImage Analysis	2020	1.9K
DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks Sen Wang, Ronald Clark, Hongkai Wen, Convolutional Neural NetworkImage AnalysisMachine LearningMachine VisionVo Problem	2017	910
Supporting Search and Rescue Operations with UAVs Sonia Waharte, Niki Trigoni Rescue RobotEngineeringLocal Search (Optimization)Aerospace EngineeringRescue Operations	2010	492
IONet: Learning to Cure the Curse of Drift in Inertial Odometry Changhao Chen, Xiaoxuan Lu, Andrew Markham, Proceedings of the AAAI Conference on Artificial Intelligence Location TrackingEngineeringMachine LearningLocation EstimationInertial Odometry	2018	341
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem Ronald Clark, Sen Wang, Hongkai Wen, Proceedings of the AAAI Conference on Artificial Intelligence EngineeringMachine Learning3D Pose EstimationAccurate Calibration DataField Robotics	2017	309
Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model Shu‐Yu Lin, Ronald Clark, Robert Birke, Anomaly DetectionMachine LearningData ScienceData MiningPattern Recognition	2020	261
mID: Tracking and Identifying People with Millimeter Wave Radar Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Location TrackingEngineeringVisual TrackingDeep Recurrent NetworkLocalization	2019	256
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization Ronald Clark, Sen Wang, Andrew Markham, EngineeringMachine LearningVideo Processing6-Dof LocalizationLocalization	2017	243
Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength Zhuoling Xiao, Hongkai Wen, Andrew Markham, IEEE Transactions on Wireless Communications EngineeringMachine LearningLocation EstimationSensor ArrayPositioning System	2014	242
End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks Sen Wang, Ronald Clark, Hongkai Wen, The International Journal of Robotics Research Geometric LearningConvolutional Neural NetworkDeep Neural NetworksMachine VisionMachine Learning	2017	237

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