Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Sensors Engineering & Materials Science
learning Physics & Astronomy
sensors Physics & Astronomy
Cameras Engineering & Materials Science
Neural networks Engineering & Materials Science
Sensor Mathematics
cameras Physics & Astronomy
Costs Engineering & Materials Science

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2016 2017

  • 10 Conference contribution
  • 3 Article

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

Yang, B., Wen, H., Wang, S., Clark, R., Markham, A. & Trigoni, N. 19 Aug 2017 2017 IEEE International Conference on Computer Vision (ICCV) Workshop. IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

learning

DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

Wang, S., Clark, R., Wen, H. & Trigoni, N. 24 Jul 2017 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, p. 2043-2050 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Pipelines
learning
experiment
Feature matching

End-to-End, Sequence-to-Sequence Probabilistic Visual Odometry through Deep Neural Networks

Wang, S., Clark, R., Wen, H. & Trigoni, N. 31 Aug 2017 In : International Journal of Robotics Research.

Research output: Contribution to journalArticle

GraphTinker: Outlier Rejection and Inlier Injection for Pose Graph SLAM

Xie, L., Wang, S., Markham, A. & Trigoni, N. 30 Jun 2017 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Simultaneous localization and mapping
Rejection
Outlier
Injection
Graph in graph theory

Increasing the Efficiency of 6-DoF Localisation Using Multi-Modal Sensory Data

Clark, R., Wang, S., Wen, H., Trigoni, N. & Markham, A. 2 Jan 2017 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids). IEEE, p. 973-980 8 p. (IEEE-RAS International Conference on Humanoid Robots)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Human robot interaction
Museums
Mobile robots
Cameras
autonomy