Topics

We invite contributions on the following topics:

• Detecting and modelling ‘atomic’ events, intended as simple actions performed by a single agent.

• Detecting and modelling complex activities, contributed to by several agents over an extended period of time.

• Predicting agent intentions.

• Dynamic scene understanding from streaming videos.

• Predicting the trajectory of pedestrians, vehicles and other road users.

• Forecasting future road events (both atomic and complex).

• Decision making, both via reinforcement/imitation learning and via intermediate representations, and a critical/empirical comparison between the two approaches.

• Explicability of both perception and decision making components of autonomous driving.

• Modelling road scenarios in a multi-agent framework.

• Modelling the reasoning processes of road agents in terms of goals or mental states.

• Machine theory of mind for autonomous vehicles.

• The role of incremental, life-long and continual learning in autonomous driving, with a focus on situation awareness.

• The use of realistic simulations to generate training data for semantic scene understanding.

• Testing and certification of AI algorithms for autonomous driving.

• The ethical implications of situation awareness and automated decision making.

The list should not be considered exhaustive, but only a sample of possible related topics.

Awards

The Workshop will issue:

• A Best Paper Award to the author(s) of the best accepted paper, as judged by the Organising Committee based on the reviews assigned by PC members.

• A Best Student Paper Award, selected in the same way.

Submission Instructions

Submitted papers on the topic will follow the standard ICCV 2021 template. Authors are welcome to submit a supplementary material document with details on their implementation; however, reviewers are not required to consult this additional material when assessing the submission.

The Workshop will allow for the submission of papers concurrently submitted elsewhere, with the aim of aggregating all relevant efforts in this area.

Double-blind review: Authors must not include any identifying information (names, affiliations, etc.) or links and self-references that may reveal their identities.

The organisers aim to provide feedback from three reviewers per submission, which will assess the submission based on relevance, novelty and potential for impact. Reviewers are asked to assess the submission (Reject/Borderline/Accept) as well as provide written feedback. There will be no additional rebuttal period.

At least one author for each accepted paper or challenge winner will be required to register for the workshop.

CMT paper submission

All submissions will be handled electronically via the conference's CMT Website. By submitting a paper, the authors agree to the policies stipulated in this website. The paper and author registration deadline is March 10, 2021, the submission deadline is March 17, 2021. Supplementary material can be submitted until March 24, 2021.

Papers are limited to eight pages, including figures and tables, in the ICCV style. Additional pages containing only cited references are allowed. Please refer to the following files for detailed formatting instructions:

• Example submission paper with detailed instructions Download

• LaTeX Templates (zip): iccv2021AuthorKit.zip Download

• LaTeX Templates (zip): iccv2021RebuttalKit.zip Download

Papers that are not properly anonymized, or do not use the template, or have more than eight pages (excluding references) will be rejected without review.

1) Paper submission and review site:

Submission Site (now open)

Please make sure that your browser has cookies and Javascript enabled.

Please add "email@msr-cmt.org" to your list of safe senders (whitelist) to prevent important email announcements from being blocked by spam filters.

It is the primary author's responsibility to ensure that all authors on their paper have registered their institutional conflicts into CMT. Each author should list domains of all institutions they have worked for, or have had very close collaboration with, within the last 3 years (example: mit.edu; ox.ac.uk; microsoft.com). DO NOT enter the domain of email providers such as gmail.com. This institutional conflict information will be used in conjunction with prior authorship conflict information to resolve assignments to both reviewers and area chairs. If a paper is found to have an undeclared or incorrect institutional conflict, the paper may be summarily rejected.

4) Creating a paper submission: This step must be completed by the paper registration deadline. After this deadline, you will not be able to register new papers, but you will be able to edit the information for existing papers.

(a) Click the “+ Create new submission” button in the upper-left to create a new submission. There, you will be prompted to enter the title, abstract, authors, and subject areas. You are strongly encouraged to finalize the author list by the registration deadline.

(b) Check with your co-authors to make sure that: (1) you add them with their correct CMT email; and (2) they have entered their domain conflicts into CMT for ICCV 2021. If you add an author with an email that is not in CMT and the name and organization is not automatically filled, that means they are not yet in the system, and you should make sure to check that they do not already have an account under a different email before completing the requested information to add them.

(c) Enter subject (topic) areas for your paper. You must include at least one primary area. This information is used to help assign ACs and reviewers.

5) Paper Number

Once you have registered your paper (i.e. title/authors), you will be assigned a paper number. Insert this into the latex before generating the pdf of your paper for submission. Papers submitted without a number may not be reviewed.

6) Submission Requirements:

The maximum size of the abstract is 4000 characters.

The paper must be PDF only (maximum 50MB). Make sure your paper meets the formatting and anonymity requirements described above.

The supplementary material can be either PDF or ZIP only (maximum 100MB).

7) Supplementary Material Submission: By the supplementary material deadline, the authors may optionally submit additional material that was ready at the time of paper submission but could not be included due to constraints of format or space. The authors should refer to the contents of the supplementary material appropriately in the paper. Reviewers will be encouraged to look at it, but are not obligated to do so.

Supplementary material may include videos, proofs, additional figures or tables, more detailed analysis of experiments presented in the paper, or a concurrent submission to ICCV or another conference. Itmay not include results on additional datasets, results obtained with an improved version of the method (e.g., following additional parameter tuning or training), or an updated or corrected version of the submission PDF. Papers with supplementary materials violating the guidelines may be summarily rejected.

8) Code Submission and Reproducibility: To improve reproducibility in AI research, we highly encourage authors to voluntarily submit their code as part of supplementary material. Authors should also use the Reproducibility Checklist as a guide for writing reproducible papers. Reviewers are encouraged to check the submitted code to ensure that the paper’s results are trustworthy and reproducible. The code should be anonymized, e.g., author names, institutions and licenses should be removed. We do not expect authors to submit private/sensitive data, only sufficient data to demonstrate the method. All code/data will be reviewed confidentially and kept private.