T4V: Transformers for Vision

UPDATES

[June 19 2022 3:30pm] Poster sessions: Due to the technical difficulties leading to delays, we will be doing the spotlight presentations 2 and 3 at 3:30-4:30pm, panel session from 4:30-5pm, and poster session from 5:00-6:00pm

[June 19 2022 11AM] Poster sessions: As we confirmed with the organizers and staff, there is NO ID number assigned to the poster boards, please find a brown paper on a board with a note "Transformer for Vision 33b-82b", which is at the Hall-E lobby. We recommend the authors to put their posters around there so that all are gathered in the same area.

[June 19 2022 11AM] Poster sessions: As per the latest update from workshop chairs this morning, the new poster location is the lobby of Halls D-E spots 33b-82b. Please use any open poster spot in that range.

Overview

Transformers have recently emerged as promising and versatile deep neural architecture in various domains. Since the introduction of Vision Transformers (ViT) in 2020, the vision community has witnessed an explosion of transformer-based computer vision models with applications ranging from image classification to dense prediction (e.g., object detection, segmentation), video, self-supervised learning, 3D and multi-modal learning. This workshop presents a timely opportunity to bring together researchers across computer vision and machine learning communities to discuss the opportunities and open challenges in designing transformer models for vision tasks.

Panelists

Call for Papers

We accept abstract submissions to our workshop. All submissions shall have maximally 4 pages (excluding references) following the CVPR 2022 author guidelines.

Submission Portal: CMT

Important Dates:

Abstract Submission Due: April 15th, 2022

Notification to Authors: May 15th 23rd, 2022

Workshop: June 19th, 2022

Organizers

Program Committee