Shiyi Lan 兰石懿
I am a Ph.D. candidate supervised by Dr. Larry S. Davis at University of Maryland, College Park. I obtained my Bachelor's degree of Computer Science at Fudan University. Currently, I'm on the job market.
My research interests lie in the fields of 2D and 3D Object Detection , and Instance Segmentation. My long-term research goal is to apply Continual Learning on Detection and Segmentation, e.g. Weakly/Semi- supervised Instance Segmentation, Weakly/Semi- supervised Object Detection, and Semi-supervised 3D Object Detection.
Email: sylan [at] umd [dot] edu
CV
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Google Scholar
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GitHub
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DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
Shiyi Lan,
Zhiding Yu,
Christopher Choy,
Subhashree Radhakrishnan,
Guilin Liu,
Yuke Zhu,
Larry S. Davis,
Anima Anandkumar
ICCV, 2021
arXiv
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code
The first-place weakly supervised instance segmentation model using box labels.
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M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
Tianrui Guan*,
Jun Wang*,
Shiyi Lan†,
Rohan Chandra,
Zuxuan Wu,
Larry S. Davis,
Dinesh Manocha
† Correspondence Author. * means equal contribution.
WACV, 2022
arXiv
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code
The multi-representation, multi-scale, mutual-relation 3D object detector with transformers.
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InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling
Jun Wang*,
Shiyi Lan*,
Mingfei Gao,
Yi Wu,
Larry S. Davis,
* means equal contribution.
ECCV, 2020
arXiv
3D Object Detection with the effective dynamic attention module.
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SaccadeNet: A Fast and Accurate Object Detector
Shiyi Lan,
Zhou Ren,
Yi Wu,
Larry S. Davis,
Gang Hua
CVPR, 2020
arXiv
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code
A real-time and high-performance object detector.
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Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN
Shiyi Lan,
Ruichi Yu,
Gang Yu,
Larry S. Davis
CVPR, 2019
arXiv
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code
Modeling point cloud by leveraging geometric information of point clouds.
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FastMask: Segment Multi-scale Object Candidates in One Shot
Hexiang Hu*,
Shiyi Lan*,
Yuning Jiang,
Zhimin Cao,
Fei Sha
* means equal contribution.
CVPR, 2017 (Spotlight)
arXiv
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code
Generating instance segmentation candidates by leveraging multi-scale feature paramids.
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Selected Projects
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Neural style transfer on Android.
Fudan University, 2017
This project is able to run neural style transfer on Android devices with less 300MB memory. To achieve this goal, I applied the highly optimized deep learning architecture MXNet and extremely compact neural network SqueezeNet.
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ASA.tv
Fudan University, 2015
code
A full-stack project that implements basic functions of a UGC (User Generated Content) Video Platform. I implemented the backend and frontend independently with Django (Python) and ReactJS (JavaScript).
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Canvas Danmaku
Fudan University, 2015
code
A full-stack project that implements basic functions of online video player with floating comments. I implemented the backend and frontend independently with KoaJS (NodeJS) and ReactJS (JavaScript).
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Chunked Videos Uploader
Fudan University, 2015
code
A smart widget for uploading videos written in Python. The users can start/suspend/resume uploading the video. The videos are chunked before uploading for robustness and safety. This widget is designed for the user of ASA.tv to upload their videos.
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