One Day Meeting: Geometry and Deep Learning
Friday 19 July 2019
Chairs: Vassileios Balntas and Krystian Mikolajczyk
- Andrea Vedaldi
- Jiri Matas
- Stefan Leutenegger
- Daniyar Turmukhambetov & Michael Firman - Niantic Labs
- Relja Arandjelović - Deepmind
After the meeting the organisers prepare a short summary of the meeting. The report is available here.
Visual geometry is one of the areas where applying deep learning is less obvious than in other computer vision problems and has only just started to make an impact. In this meeting, we aim to explore the key challenges in addressing the geometry related tasks with end-to-end learning.
|Keynote: Jiri Matas
|Ignas Budvytis: Large Scale Semantic Re-Localisation
|Ronnie Clark: Deep Learning and Geometry: A Top-Down Approach
|Armin Mustafa: Semantically Coherent 4D Scene Flow of Dynamic Scenes
|Joao Miguel Vieira Cartucho: Data Augmentation with 3D CG for Surgical Vision
|Invited talk: Daniyar Turmukhambetov & Michael Firman - Niantic Labs
|Keynote: Andrea Vedaldi
|Jaime Spencer Martin: SAND: Feature Learning via Hierarchical Context Aggregation
|Josh Harris: Learning to infer 3D pose from 2D examples
|Invited Talk: Relja Arandjelović - Deepmind
|Keynote: Stefan Leutenegger
Videos of Talks
On our BMVA youtube channel there are recorded talks of the slides and speaker from the day here.
After the meeting the organisers will prepare a short summary of the meeting.
British Computer Society (BCS), 5 Southampton St, London WC2E 7HA