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Lanyun Zhu 祝澜耘 Ph.D. Student Singapore University of Technology and Design (SUTD) Email: [email protected] CV / Google Scholar |
About Me
I'm a PhD student in Singapore University of Technology and Design (SUTD) from 2021, advised by Prof. Jun Liu. I'm also a technical consultant for the startup Motion Tech. Before that, I got the bachelor’s degree in June, 2020 from Beihang University. I also spent some wonderful times in Megvii, Sensetime and Johns Hopkins University. Currently, I am honourably sponsored by AISG PhD Fellowship Programme (one of the top Singapore scholarships).My research direction is computer vision. At present, most of my works are focused on image segmentation and source-effecient learning. I’m also committed to the industrial applications of computer vision technology. I am always open to research collaborations. Please feel free to drop me an email if you are interested.
Resume
[English Resume] [Chinese Resume]News
(Jul 2023) One paper accepted to ICCV 2023 ! (Apr 2023) We release the paper and code for SAM-Adapter, a pioneering attempt to finetune SAM ! (Mar 2023) One paper accepted to CVPR 2023 ! (Mar 2021) One paper accepted to CVPR 2021 !Selected Publications
Conference Papers[ICCV2023] Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu, Learning Gabor Texture Features for Fine-Grained Recognition, International Conference on Computer Vision (ICCV) 2023 [paper]
[CVPR2023] Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu, Continual Semantic Segmentation with Automatic Memory Sample Selection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023 [paper]
[CVPR2021] Lanyun Zhu, Deyi Ji, Shiping Zhu, Weihao Gan, Wei Wu, Junjie Yan, Learning Statistical Texture for Semantic Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021 [paper]
[3DV2022] Xiao Fu, Shangzhan Zhang, Tianrun Chen, Yichong Lu, Lanyun Zhu, Xiaowei Zhou, Andreas Geiger, Yiyi Liao., Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation, International Conference on 3D Vision (3DV) 2021 [paper]
[TMM] Tianrun Chen, Chaotao Ding, Lanyun Zhu, Ying Zang, Yiyi Liao, Zejian Li, and Lingyun Su, Reality3DSketch: Rapid 3D Modeling of Objects from Single Free-hand Sketches, IEEE Transactions on Multimedia
[TMI] Yan Wang, Jian Cheng, Yixin Chen, Shuai Shao, Lanyun Zhu, Zhenzhou Wu, Tao Liu, Haogang Zhu, FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation, IEEE Transactions on Medical Imaging [paper]
- Tianrun Chen*, Lanyun Zhu*, Chaotao Ding, Runlong Cao, Shangzhan Zhang, Yan Wang, Zejian Li, Lingyun Sun, Papa Mao, Ying Zang, SAM Fails to Segment Anything? –SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More, Arxiv Preprint [paper] [code] (Github 520 Stars)
Note: * indicates equal contribution.
Full list of publications in Google Scholar.
Experiences
- Research Intern | CCVL Lab, Johns Hopkins University| Apr 2020 - Sep 2021 Mentor: Dr. Yingwei Li | Leader: Prof.Alan Yuille
- Research Intern | Sensetime, Beijing, China | June 2020 - July 2021 Mentor: Mr. Deyi Ji | Mr. Wei Wu
- Research Intern | Megvii, Beijing, China | Sep. 2019 - May 2020 Mentor: Dr. Zhikang Liu | Leader: Dr. Chi Zhang