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Computer Science

D-Index
59
Citations
14119
World Ranking
3418
National Ranking
206

Overview

Niki Trigoni is affiliated with the University of Oxford in the United Kingdom. Their research focuses primarily on computer science and engineering, with a significant number of publications in these areas. The scientist has a substantial presence in several subfields, notably computer vision and pattern recognition, aerospace engineering, electrical and electronic engineering, signal processing, and computational mechanics.

Their work spans multiple specialized topics, including robotics and sensor-based localization, advanced vision and imaging, indoor and outdoor localization technologies, 3D shape modeling and analysis, 3D surveying and cultural heritage, advanced image and video retrieval techniques, and human pose and action recognition.

Niki Trigoni has contributed to several research publications, with frequent authorship in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), the Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Neural Networks and Learning Systems, and the IEEE Sensors Journal.

Some of the recent papers authored or coauthored by Niki Trigoni include:

  • Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • AtLoc: Attention Guided Camera Localization, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference, 2020, IEEE Internet of Things Journal
  • Milli-RIO: Ego-Motion Estimation With Low-Cost Millimetre-Wave Radar, 2020, IEEE Sensors Journal
  • Deep learning-based robust positioning for all-weather autonomous driving, 2022, Nature Machine Intelligence

Collaboration is a notable aspect of Niki Trigoni's research activity, with frequent coauthors including Andrew Markham, Chris Xiaoxuan Lu, Changhao Chen, Peijun Zhao, and Zhuangzhuang Dai.

Best Publications

  • RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

    Qingyong Hu;Bo Yang;Linhai Xie;Stefano Rosa

  • DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks

    Sen Wang;Ronald Clark;Hongkai Wen;Niki Trigoni

  • Supporting Search and Rescue Operations with UAVs

    Sonia Waharte;Niki Trigoni

  • Visual SLAM and Structure from Motion in Dynamic Environments: A Survey

    Muhamad Risqi U. Saputra;Andrew Markham;Niki Trigoni

  • VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

    Ronald Clark;Sen Wang;Hongkai Wen;Andrew Markham

  • IONet: Learning to Cure the Curse of Drift in Inertial Odometry

    Changhao Chen;Xiaoxuan Lu;Andrew Markham;Niki Trigoni

  • VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

    Ronald Clark;Sen Wang;Andrew Markham;Niki Trigoni

  • Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength

    Zhuoling Xiao;Hongkai Wen;Andrew Markham;Niki Trigoni

  • Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

    Bo Yang;Jianan Wang;Ronald Clark;Qingyong Hu

  • Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model

    Shuyu Lin;Ronald Clark;Robert Birke;Sandro Schonborn

  • mID: Tracking and Identifying People with Millimeter Wave Radar

    Peijun Zhao;Chris Xiaoxuan Lu;Jianan Wang;Changhao Chen

  • End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks:

    Sen Wang;Sen Wang;Ronald Clark;Hongkai Wen;Niki Trigoni

  • Delay-bounded routing in vehicular ad-hoc networks

    Antonios Skordylis;Niki Trigoni

  • Evolution and sustainability of a wildlife monitoring sensor network

    Vladimir Dyo;Stephen A. Ellwood;David W. Macdonald;Andrew Markham

  • GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

    Yasin Almalioglu;Muhamad Risqi U. Saputra;Pedro P. B. de Gusmao;Andrew Markham

  • Multi-query optimization for sensor networks

    Niki Trigoni;Yong Yao;Alan Demers;Johannes Gehrke

  • Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges

    Qingyong Hu;Bo Yang;Sheikh Khalid;Wen Xiao

  • Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling.

    Qingyong Hu;Bo Yang;Linhai Xie;Stefano Rosa

  • 3D Object Reconstruction from a Single Depth View with Adversarial Learning

    Bo Yang;Hongkai Wen;Sen Wang;Ronald Clark

  • Does BTLE measure up against WiFi? A comparison of indoor location performance

    Xiaojie Zhao;Zhuoling Xiao;Andrew Markham;Niki Trigoni

  • The Cougar Project: a work-in-progress report

    Alan Demers;Johannes Gehrke;Rajmohan Rajaraman;Niki Trigoni

  • Lightweight map matching for indoor localisation using conditional random fields

    Zhuoling Xiao;Hongkai Wen;Andrew Markham;Niki Trigoni

  • Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning

    Linhai Xie;Sen Wang;Andrew Markham;Niki Trigoni

Frequent Co-Authors

Andrew Markham
Andrew Markham University of Oxford
Phil Blunsom
Phil Blunsom University of Oxford
Alan Demers
Alan Demers Cornell University
Johannes Gehrke
Johannes Gehrke Microsoft (United States)
Rajmohan Rajaraman
Rajmohan Rajaraman Northeastern University
Cecilia Mascolo
Cecilia Mascolo University of Cambridge
Stephen J. Roberts
Stephen J. Roberts University of Oxford
Mark Levene
Mark Levene Birkbeck, University of London
John A. Stankovic
John A. Stankovic University of Virginia
Bhaskar Krishnamachari
Bhaskar Krishnamachari University of Southern California

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