2023 VizWiz Grand Challenge Workshop

Overview

Our goal for this workshop is to educate researchers about the technological needs of people with vision impairments while empowering researchers to improve algorithms to meet these needs. A key component of this event will be to track progress on four dataset challenges, where the tasks are to answer visual questions, ground answers, detect salient objects, and recognize objects in few-shot learning scenarios. The second key component of this event will be a discussion about current research and application issues, including invited speakers from both academia and industry who will share their experiences in building today’s state-of-the-art assistive technologies as well as designing next-generation tools.

Examples of image annotation tasks for the four dataset challenges of salient object detection, few-shot object recognition, visual question answering, and answer grounding.

Important Dates

Thursday, January 12: challenge submissions announced
Friday, January 13 [9:00am Central Standard Time]: challenges go live
Friday, May 5 [9:00am Central Standard Time]: challenge submissions due
Friday, May 12 [9:00am Central Standard Time]: extended abstracts due
Wednesday, May 17 [5:59pm Central Standard Time]: notification to authors about decisions for extended abstracts
Monday, June 19: half-day workshop

Submissions

We invite two types of submissions:

Challenge Submissions

We invite submissions about algorithms for the four challenge tasks: the visual question answering challenge task, the answer grounding challenge, the salient object detection challenge, and the few-shot object recognition challenge. We accept submissions for algorithms that are not published, currently under review, and already published.

The teams with the top-performing submissions will be invited to give short talks during the workshop. Microsoft Research will host the winning teams across all 4 challenges at a virtual event in July 2023. Teams will be invited to present their approaches to a wide audience of internal research and product teams working in machine learning and computer vision, a great opportunity to gain industry visibility for future job applicants.

Extended Abstracts

We invite submissions of extended abstracts on topics related to image captioning, visual question answering, visual grounding, salient object detection, few shot learning, and assistive technologies for people with visual impairments. Papers must be at most two pages (with references) and follow the CVPR formatting guidelines using the provided author kit. Reviewing will be single-blind and accepted papers will be presented as posters. We will accept submissions on work that is not published, currently under review, and already published. There will be no proceedings. Please send your extended abstracts to workshop@vizwiz.org.

Please note that we will require all camera-ready content to be accessible via a screen reader. Given that making accessible PDFs and presentations may be a new process for some authors, we will host training sessions beforehand to both educate and assist all authors to succeed in making their content accessible.

Program

Location:

Event is being held in a hybrid manner.

Schedule:

8:15-8:25: Opening remarks
8:25-8:55: Invited talk and QA with computer vision researcher (Xin (Eric) Wang)
8:55-9:15: Overview of VQA challenge, winner announcements, analysis of results, and talks by challenge winners
9:15-9:45: Invited talk and QA with Google Lookout representative (Haoran Qi)
9:45-10:00: Overview of few-shot object recognition challenge, winner
announcements, analysis of results, and talk by challenge winner
10:00-10:15: Break
10:15-10:45: Invited talk and QA with blind technology advocate (Thomas Reid)
10:45-11:00: Overview of VQA grounding and salient object detection challenge, winner announcements, analysis of results, and talk by challenge winner
11:00-11:30: Open QA panel with three invited speakers
11:30-11:45: Open discussion and closing remarks
11:45-12:30: Poster session