Schedule

18 June 2018, Room 255-C

Time Title
08:30 Welcome: Ronald Clark (Imperial)
08:45 Invited Talk: Jitendra Malik (FAIR & UC Berkeley)
09:15 Invited Talk: Simon Lucey (CMU Robotics Institute)
09:45 Oral 1: SuperPoint: Self-Supervised Interest Point Detection and Description
10:15 Morning Break
10:35 Invited Talk: Jan Kautz (NVIDIA)
11:05 Invited Talk: Matthias Niessner (TUM)
11:35 Invited Talk: Katerina Frakiadaki (CMU)
12:05 Oral 2: Global Pose Estimation with an Attention-based Recurrent Network
12:35 Lunch and Poster Session
14:35 Invited Talk: Noah Snavely (Cornell / Google)
15:00 Invited Talk: Vladlen Koltun (Intel)
15:30 Coffee break
16:00 Panel Discussion: Challenges, Potentials and The Future of Machine Learning for SLAM: Chair - Andrew Davison (Imperial)
17:30 Dinner

Accepted Papers


Orals


SuperPoint: Self-Supervised Interest Point Detection and Description [pdf]
Daniel DeTone*, Magic Leap; Tomasz Malisiewicz, Magic Leap, Inc.; Andrew Rabinovich, Magic Leap, Inc.

Global Pose Estimation with an Attention-based Recurrent Network [pdf]
Emilio Parisotto*, Carnegie Mellon University; Devendra Singh Chaplot, Carnegie Mellon University; Jian Zhang, Apple Inc.; Ruslan Salakhutdinov, Carnegie Mellon University

Posters


Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning [pdf]
Senthil Yogamani*, Valeo Vision Systems; Stefan Milz, Valeo; Christian Witt, Valeo; Georg Arbeiter, Valeo; Bassam Abdallah, Valeo

Mask-SLAM: Robust feature-based monocular SLAM by masking using semantic segmentation [pdf]
Masaya Kaneko*, The University of Tokyo; Kazuya Iwami, The University of Tokyo; Toru Ogawa, The University of Tokyo; Toshihiko Yamasaki, The University of Tokyo; Kiyoharu Aizawa, The University of Tokyo

Geometric Consistency for Self-Supervised End-to-End Visual Odometry [pdf]
Ganesh Iyer, IIIT Hyderabad; Krishna Murthy Jatavallabhula*, Montreal Institute of Learning Algorithms (MILA); Gunshi Gupta, IIIT Hyderabad; Madhava Krishna, IIIT-Hyderabad; Liam Paull, Université de Montréal

Learning Descriptor, Confidence, and Depth Estimation in Multi-view Stereo [pdf]
Sungil Choi, Yonsei University; Seungryung Kim, Yonsei University; Kihong Park, Yonsei Univ.; Kwanghoon Sohn *, Yonsei Univ.

DepthNet: A Recurrent Neural Network Architecture for Monocular Depth Prediction [pdf]
Arun CS Kumar*, University of Georgia; Suchendra Bhandarkar, University of Georgia; Mukta Prasad, Trinity College, Dublin

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

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

Learning 3D Scene Semantics and Structure from a Single Depth Image [pdf]
Bo Yang*, University of Oxford; Zihang Lai, University of Oxford; Xianxuan Lu, University of Oxford; Shuyu Lin, University of Oxford; Hongkai Wen, University of Warwick; Andrew Markham, University of Oxford; Niki Trigoni, University of Oxford

QuadricSLAM: Constrained Dual Quadrics from Object Detections as Landmarks in Semantic SLAM (extended abstract) [pdf]
Lachlan Nicholson* QUT, ACRV; Michael Milford, ACRV and QUT, Australia; Niko Suenderhauf, Queensland University of Technology