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Georgi Tinchev

Georgi Tinchev

DPhil Student

Biography

Georgi is currently a DPhil student with Dr. Maurice Fallon at the University of Oxford, Oxford Robotics Institute. He recently interned as an applied scientist at Amazon Research in Cambridge and is currently on internship with XYZ Reality working with Rigas Kouskouridas and Shuda Li. His areas of interest involve 3D perception, computer vision, and machine learning. During his DPhil he developed methods for LIDAR localization in challenging environments. He completed a MSc Artificial Intelligence degree at the University of Edinburgh in 2016 and holds a first class honours degree in computing science from the University of Aberdeen. Outside work you can find Georgi on the volleyball court or the ski slopes.

Research Interests

  • Computer Vision
  • Machine Learning

Publications

š¯•¸Resolution Correspondence Networks
(In review), arXiv.org, 2021.
G. Tinchev, Shuda Li, Kai Han, David Mitchell, Rigas Kouskouridas

Universal Neural Vocoding with Parallel WaveNet
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
Yunlong Jiao, Adam Gabrys, Georgi Tinchev, Bartosz Putrycz, Daniel Korzekwa, Viacheslav Klimkov

SKD: Unsupervised Keypoint Detecting for Point Clouds using Embedded Saliency Estimation
(In review), arXiv.org, 2020.
G. Tinchev, A. Penate-Sanchez, M. Fallon

Real-time LIDAR localization in natural and urban environments
(In Review), 2020.
G. Tinchev, A. Penate-Sanchez, M. Fallon

Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure
IEEE International Conference on Robotics and Automation (ICRA), 2020.
M. Ramezani, G. Tinchev, Egor Iuganov, Maurice Fallon

Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU
IEEE International Conference on Robotics and Automation (RAL+ICRA), 2019.
G. Tinchev, A. Penate-Sanchez, M. Fallon

Seeing the Wood for the Trees: Reliable Localization in Urban and Natural Environments
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.
G. Tinchev, S. Nobili, M. Fallon

Predicting Alignment Risk to Prevent Localization Failure
IEEE International Conference on Robotics and Automation (ICRA), 2018.
S. Nobili, G. Tinchev, M. Fallon