[visionlist] Speaker + Challenge Announcement C4AV Workshop @ ECCV20'

[Simon Vandenhende]

C4AV
Commands for Autonomous Vehicles Workshop @ 2020 European Conference on Computer Vision - ECCV 2020
Glasgow, UK, 23 August 2020
https://c4av-2020.github.io/

* Call for papers *
* Paper submission due: July 10th, 2020
* Acceptance notification: July 24th, 2020
* Workshop @ ECCV 2020: August 23rd, 2020


Dear Researchers,

We are happy to invite you to join the first 'Commands for Autonomous Vehicles Workshop' (C4AV) organized at ECCV2020. In this workshop, we aim to identify, and address the challenges for deploying vision-language models in practical applications.

* List of topics *

The list of workshop topics includes, but is not limited to:
    - Visual Dialog
    - Multi-modal feature learning
    - Object Referral/Visual Grounding
    - Visual Question Answering
    - Zero-shot/Few-shot in multi-modal learning
    - Applications in joint text/image understanding
    - Autonomous driving

Participants are invited to share their work as a poster or contributed talk during the workshop,
and the best paper will be awarded a cash prize of 750 euros.
More information about the call for papers can be found at https://c4av-2020.github.io/.

* Speakers *

We are proud to announce that the workshop will host talks given by four experts on the aforementioned topics:
    - Jean Oh (Carnegie Mellon University)
    - Dengxin Dai (ETH Zurich)
    - Dhruv Batra (Georgia Tech)
    - Qi Wu (University of Adelaide).

* Challenge *

The workshop hosts a challenge which requires participants to solve a visual grounding task within an autonomous driving setting.
The 1st, 2nd and 3rd team will be awarded a cash prize of 1500, 500 and 250 euro respectively,
and will be invited to present their solution at the C4AV workshop at ECCV2020.
More information about the challenge can be found at https://www.aicrowd.com/challenges/eccv-2020-commands-4-autonomous-vehicles.

* Sponsors *

We thank Huawei for supporting this workshop.


The C4AV team

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