[robotics-worldwide] [meetings] CFP: 2nd Workshop on Deep Learning for Visual SLAM at ICCV'19

Clark, Ronald ronald.clark at imperial.ac.uk
Sun Jul 21 01:05:28 PDT 2019

Dear colleagues,

This is a reminder that the submission deadline for the 2nd Workshop on Deep Learning for Visual SLAM to be held at ICCV'2019 is coming up on 10 August!

Website: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.visualslam.ai&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=W4VxCCaJ6vhii5LH9vft324Ha21vTTrrUb7gjZTYW6Q&s=o_79NTm89YntZBvBHd6O8pyiscnB5ow7Oc8YBlc4xvw&e= 

Paper submission: 10 August 2019
Notification of Acceptance: 20 August 2019
Final Schedule: 10 September 2019
Workshop date: 2 November 2019

Paper details:
Paper length must be limited to 8 pages.
Submissions may be accepted as either oral or poster presentations.
Accepted papers will be published in the ICCV workshop proceedings.
Submission is via CMT: https://urldefense.proofpoint.com/v2/url?u=https-3A__cmt3.research.microsoft.com_DL4vSLAM2019&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=W4VxCCaJ6vhii5LH9vft324Ha21vTTrrUb7gjZTYW6Q&s=8RepKcZ1xycXqBUBegmNBDJDAWNN8_-Db6BJUzAIK2g&e= 

Workshop overview:
Visual SLAM and ego-motion estimation are two of the key challenges and cornerstone requirements of machine perception. To enable the next generation of visual SLAM, we need to pursue better means of integrating prior knowledge and understanding of the world. This workshop will focus on the intersection of deep learning and real-time visual SLAM. The workshop will explore ways in which data-driven models can be harnessed for creating robust Visual SLAM algorithms which are less fragile and much more robust than existing state-of-the-art approaches. The workshop will also investigate ways in which we can use deep-learned models alongside traditional approaches in a unified and synergistic fashion.

We are particularly soliciting papers containing new and innovative ideas (with possibly preliminary experimental evaluation) related, but not limited to, the following topics:

- Dense, Direct and Sparse Visual SLAM methods
- Learning for Real-time Odometry, Tracking and Ego-Motion estimation
- Learning for Single and Multi-View 3D Reconstruction
- Visual Place recognition and Relocalisation
- Semantic SLAM methods
- Semantic elements are a fundamental component of human perception and scene understanding.
- New methods for 3D Scene Representation and Compression

More info: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.visualslam.ai&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=W4VxCCaJ6vhii5LH9vft324Ha21vTTrrUb7gjZTYW6Q&s=o_79NTm89YntZBvBHd6O8pyiscnB5ow7Oc8YBlc4xvw&e= 

We hope to see you all there!

Ronald Clark
Fellow, Imperial College London

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