Please see my Google Scholar profile which should maintain an up-to-date list of all my publications with full citation information.

Real-Time Visual SLAM with an Event Camera
Hanme Kim, PhD Thesis, Imperial College London, UK, 2017 [Paper]

Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera
Hanme Kim, Stefan Leutenegger, and Andrew J. Davison
European Conference on Computer Vision (ECCV), Amsterdam, The  Netherlands, 2016
(Best Paper Award)
[Paper] | [Video] | [Presentation] | [Poster]
Towards Visual SLAM with Event-based Cameras
Michael Milford, Hanme Kim, Stefan Leutenegger, and Andrew J. Davison
The Problem of Mobile Sensors: Setting future goals and indicators of progress for SLAM
Workshop, Robotics Science and Systems (RSS), Rome, Italy, 2015
[Paper] | [Video]
Place Recognition with Event-based Cameras and a Neural Implementation of SeqSLAM
Michael Milford, Hanme Kim, Michael Mangan, Stefan Leutenegger, Tom Stone, Barbara Webb, Andrew J. Davison
The "Innovative Sensing for Robotics: Focus on Neuromorphic Sensors" workshop,
IEEE International Conference on Robotics and Automation (ICRA),
Seattle, Washington, USA, 2015
Simultaneous Mosaicing and Tracking with an Event Camera
Hanme Kim, Ankur Handa, Ryad Benosman, Sio-Hoi Ieng, and Andrew J. Davison
British Machine Vision Conference (BMVC), Nottingham, UK, 2014
(Best Industry Paper)
[Paper] | [Video] | [Presentation]

Please see my YouTube channel which should maintain an up-to-date list of all demonstration video clips.

ETAM 2D: Real-Time Event-Based Tracking and Mapping with an Event Camera
3-DoF tracking and panoramic mapping
Hanme Kim
Event-Based Camera Calibration
Hanme Kim
Event-Based Camera vs Standard Camera
We recreated this animation inspired by the associated animation of Mueggler, Huber, and
Scaramuzza, "Event-based, 6-DOF Pose Tracking for High-Speed Maneuvers", IROS, 2014:
Hanme Kim
Mostly industrial projects which I worked on in my previous companies.