on June 18th, 2024

The 3rd Workshop on Transformers for Vision (T4V)

at CVPR 2024

Workshop location: Summit 347-348
Poster session location: Arch Building Exhibit Hall

A one-day summit to bring together the latest ideas in using Transformers for image, video, 3D and multi-modal visual processing

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.

Invited Speakers

Tel Aviv University

UC San Diego

Stanford University

Meta AI

UC Berkeley

Panelists

Tel Aviv University

UC San Diego

Meta AI

We accept abstract submissions to our workshop. All submissions shall have maximally 4 pages (excluding references) following the CVPR 2024 author guidelines.

Submission Portal: CMT

Important Dates:

Submission Deadline: April 15th, 2024 (11:59pm PST)

Notification of Acceptance: May 25th, 2024

Camera-Ready Submission Deadline: June 14th, 2024

Workshop Date: June 18th, 2024

Organizers

Tyler ZhuPrinceton University

Program Committee

Chien-Yi Wang (NVIDIA)

Guilin Liu (NVIDIA)

Haotian Zhang (Apple AI/ML)

Jiaqi Ding (UNC-CH)

Le An (NVIDIA)

Max Gonzalez Saez-Diez (Princeton)

Fuxiao Liu (UMD)

Maying Shen (NVIDIA)

Mingyu Ding (UC Berkeley)

Min-Hung Chen (NVIDIA)

Nadine Chang (NVIDIA)

Nishant Rai (Stanford)

Shoubin Yu (UNC-CH)

Subhashree Radhakrishnan (NVIDIA)

Xizi Wang (Indiana Univ.)

Xu Ma (Northeastern Univ.)

Yi-Lin Sung (UNC-CH)

Yimu Wang (University of Waterloo)

Yunhao Gou (HKUST)

Ziwei Zhao (Indiana University)

Ziyang Wang (UNC-CH)