52cv/cvpr-2023-papers

cvpr-2023-papers's Issues

could you please add our paper to re-ID area?

Paper name/title: Large-scale Training Data Search for Object Re-identification
Paper link: https://arxiv.org/abs/2303.16186
Code link: https://github.com/yorkeyao/SnP

Many thanks!

可以根据workshop 来分类论文 会不会好一点

文章补全

请问可否参照 https://cvpr.thecvf.com/Conferences/2023/AcceptedPapers 的paperlist完善仓库，虽说有些paper没有公开论文。

谢谢 😃

How did you do this classification?

Hi, I always wanted to automatically do this kind of classification with recently published papers. How did you do this? Do you have a classification model with already defined classes? Or is it a clustering solution that finds clusters and consequently new words/groups?

Please update the information of our CVPR 2023 paper

Hi,

Could you please update the information of our CVPR 2023 paper on the list:

Title: A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images
Paper link: https://arxiv.org/pdf/2302.14434.pdf
Project Link: https://younglbw.github.io/HRN-homepage/

Thanks a lot!

Two more papers on vision-language

Hi,

Requesting to include the two papers that were recently accepted for CVPR 2023 on vision-language.

1. Fine-tuned CLIP models are efficient video learners
   This work explores the capability of a simple baseline called ViFi-CLIP (Video Fine-tuned CLIP) for adapting image pretrained CLIP to video domain tasks.
   Code: https://tinyurl.com/5xwv9uej
   Paper: https://arxiv.org/abs/2212.03640

2. MaPLe: Multi-modal Prompt Learning
   This paper learns prompts on both the language and vision branches of CLIP for better generalization to downstream tasks.
   Code: https://rb.gy/woe48
   Paper: https://arxiv.org/abs/2210.03117

It would be greatly appreciated if they could be included in the repository. Thank you for your time and assistance, and I must say, this is a great repository!

Update code link for one paper

Hi!

Here I wanna share the code link for Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior:
https://github.com/ykdai/BracketFlare

Thank you!