prajwalsingh / Awesome-Multimodality

A Survey on multimodal learning research.

Awesome Multimodality

A collection of resources on multimodal learning research.

Content

• • 1. Description
• • 2. Paper With Code
  • • Survey
  • • 2021
  • • 2020
• • 3. Courses

• Contact Me

1.Description

🐌 Markdown Format:

• (Conference/Journal Year) [Task/Keywords] Title, First Author et al. [Paper] [Code] [Project]

2.Paper With Code

• Survey

  • (arXiv preprint 2021) A Survey on Multi-modal Summarization, Anubhav Jangra et al. [v1](2021.09.11)

• 2021

  • (ICCV 2021 Oral) [Text-guided Image Manipulation] StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery, Or Patashnik et al. [Paper] [Code] [Play]
  • (ICCV 2021) [Facial Editing] Talk-to-Edit: Fine-Grained Facial Editing via Dialog, Yuming Jiang et al. [Paper] [Code] [Project] [Dataset Project] [Dataset(CelebA-Dialog Dataset)]
  • (arXiv preprint 2021) [Video Action Recognition] ActionCLIP: A New Paradigm for Video Action Recognition, Mengmeng Wang et al. [Paper]

• 2020

3.Courses

• CMU Multimodal Learning

Contact Me

• Yutong ZHOU in Interaction Laboratory, Ritsumeikan University. ଘ(੭*ˊᵕˋ)੭

• If you have any question, please feel free to contact Yutong ZHOU (E-mail: [e-mail]).