Shilong Liu

Self-intro of Shilong Liu

View the Project on GitHub SlongLiu/mycv

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Shilong Liu (刘世隆)

Ph.D. student, Tsinghua University.

I’m a second-year Ph.D. student at the Department of Computer Science and Technology, Tsinghua University, under the supervision of Prof. Lei Zhang, Prof. Hang Su, and Prof. Jun Zhu. I got my bachelor’s degree from the Department of Industrial Engineering, Tsinghua University in 2020.

I am an intern of computer vision at International Digital Economy Academy (IDEA). I was an intern at Megvii Research in 2019.

My research interest includes machine learning, deep learning and their applications in computer vision.

Email: liusl20@mails.tsinghua.edu.cn; slongliu86@gmail.com

Github: https://github.com/SlongLiu


News

[2022/6/7]: We release a unified detection and segmentation model Mask DINO that achieves the best results on all the three segmentation tasks (**54.7** AP on COCO instance leaderboard, **59.5** PQ on COCO panoptic leaderboard, and **60.8** mIoU on ADE20K semantic leaderboard! Code will be available here.
[2022/3/9]: We build a new repo awesome Detection Transformer to present papers about transformer for detection and segmenttion. Welcome to your attention!
[2022/3/8]: Our DINO reach the SOTA on MS-COCO leader board with **63.3AP**! Code is avaliable here!


Publications

Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation.
Feng Li, Hao Zhang, Huaizhe xu, Shilong Liu, Lei Zhang, Lionel M. Ni, Heung-Yeung Shum
arxiv 2022.
[paper] [code]

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.
Hao Zhang*, Feng Li*, Shilong Liu*, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum
arxiv 2022.
[paper] [code]

Vision-Language Intelligence: Tasks, Representation Learning, and Large Models.
Feng Li*, Hao Zhang*, Yi-Fan Zhang, Shilong Liu, Jian Guo, Lionel M Ni, PengChuan Zhang, Lei Zhang
arxiv 2022.
[paper]

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising.
Feng Li*, Hao Zhang*, Shilong Liu, Jian Guo, Lionel M. Ni, Lei Zhang.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022.
[paper] [code]

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.
Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang.
International Conference on Learning Representations (ICLR) 2022.
[paper] [code]

Query2Label: A Simple Transformer Way to Multi-Label Classification.
Shilong Liu, Lei Zhang, Xiao Yang, Hang Su and Jun Zhu.
arXiv, 2021.
[paper] [code]

Unsupervised Part Segmentation through Disentangling Appearance and Shape.
Shilong Liu, Lei Zhang, Xiao Yang, Hang Su and Jun Zhu.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Online (due to COVID-19), 2021.
[paper]


Competitions

Our team (Xiao Yang, Yichi Zhang, Chang Liu, Wenzhao Xiang, Shilong Liu) won the second place in the Unrestricted Adversarial Attacks on ImageNet Competition of CVPR-2021 AML-CV Workshop. (related paper)

Our team (Xiao Yang, Dingcheng Yang, Zihao Xiao, Yinpeng Dong, Shilong Liu) won the first place in the GeekPwn DeepFake competition (October 24th, 2020).


Services

I serve as a reviewer for CVPR, ECCV, and ICIP.