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   /   Google Scholar   /   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 / code

The first-place weakly supervised instance segmentation model using box labels.

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 / code

The multi-representation, multi-scale, mutual-relation 3D object detector with transformers.

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

3D Object Detection with the effective dynamic attention module.

SaccadeNet: A Fast and Accurate Object Detector
Shiyi Lan, Zhou Ren, Yi Wu, Larry S. Davis, Gang Hua
CVPR, 2020
arXiv / code

A real-time and high-performance object detector.

Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN
Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis
CVPR, 2019
arXiv / code

Modeling point cloud by leveraging geometric information of point clouds.

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 / code

Generating instance segmentation candidates by leveraging multi-scale feature paramids.

Selected Projects
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.

Fudan University, 2015

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).

Canvas Danmaku

Fudan University, 2015

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).

Chunked Videos Uploader

Fudan University, 2015

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 to upload their videos.