Schedule Outline

2 November 2019 - Room 301

Time Title
08:30 Welcome
09:00 Invited Talk: Tomasz Malisiewicz (Magic Leap)
09:45 Invited Talk: Vladlen Koltun (Intel Labs)
10:30 Morning Break
11:00 Invited Talk: Victor Prisacariu (University of Oxford)
11:45 Invited Talk: Daniel Cremers (Technical University of Munich -TUM)
12:30 Lunch
13:30 Posters (Outside Room 301)
14:30 Oral I: Triangular Patch-based Deep Depth Prediction
15:00 Oral II: Camera Relocalization by Exploiting Multi-view Constraints for Scene Coordinates Regression
15:30 Coffee Break
16:00 Invited Talk: Yasir Latif (Univeristy of Adelaide)
16:45 Invited Talk: Angela Dai (TUM)
17:30 Panel Discussion: Challenges, Potentials and The Future of Machine Learning for SLAM

Accepted Papers


Orals


TriDepth: Triangular Patch-based Deep Depth Prediction [pdf]
Masaya Kaneko*, University of Tokyo; Ken Sakurada, National Institute of Advanced Industrial Science and Technology (AIST); Kiyoharu Aizawa, University of Tokyo

Camera Relocalization by Exploiting Multi-view Constraints for Scene Coordinates Regression [pdf]
Ming Cai, University of Adelaide; Huangying Zhan, University of Adelaide; Chamara Saroj Weerasekera, University of Adelaide; Kejie Li, University of Adelaide; Ian Reid, University of Adelaide

Posters


P56 - Spatial Perception by Object-Aware Visual Scene Representation [pdf]
Chung-Yeon Lee, Seoul National University; Hyundo Lee, Seoul National University; Injune Hwang, Seoul National University; Byoung-Tak Zhang, Seoul National University

P57 - SLAMANTIC - Leveraging Semantics to Improve VSLAM in Dynamic Environments [pdf]
Matthias Schörghuber, Austrian Institute Of Technology; Daniel Steininger, Austrian Institute Of Technology; Yohann Cabon, NAVER LABS Europe; Martin Humenberger, NAVER LABS Europe; Margrit Gelautz, Vienna University of Technology

P58 - Adversarial Networks for Camera Pose Regression and Refinement [pdf]
Mai Bui, TUM; Christoph Baur, TUM; Nassir Navab, TUM; Slobodan Ilic, TUM; Shadi Albarqouni, TUM

P59 - How to improve CNN-based 6-DoF camera pose estimation [pdf]
Soroush Seifi, KU Leuven; Tinne Tuytelaars, KU Leuven

P60 - A system framework for localization and mapping using high resolution cameras of mobile devices [pdf]
Lifeng Liu, Futurewei; Jian Li Futurewei

P61 - Towards CNN map representation and compression for camera relocalisation [pdf]
Luis Contreras*, National Autonomous University of Mexico, Walterio Mayol-Cuevas, University of Bristol

P62 - TriDepth: Triangular Patch-based Deep Depth Prediction [pdf]
Masaya Kaneko*, University of Tokyo; Ken Sakurada, National Institute of Advanced Industrial Science and Technology (AIST); Kiyoharu Aizawa, University of Tokyo

P63 - Camera Relocalization by Exploiting Multi-view Constraints for Scene Coordinates Regression [pdf]
Ming Cai, University of Adelaide; Huangying Zhan, University of Adelaide; Chamara Saroj Weerasekera, University of Adelaide; Kejie Li, University of Adelaide; Ian Reid, University of Adelaide

P64 - Monocular Depth Prediction using Generative Adversarial Networks [pdf]
Arun CS Kumar*, University of Georgia; Suchendra Bhandarkar, University of Georgia; Mukta Prasad, Trinity College, Dublin