Siyan Dong (董思言)

I am a PhD candidate advised by Prof. Baoquan Chen at the Interdisciplinary Research Center (IRC), Shandong University (SDU). My research interests lie in the field of computer vision, graphics and robotics, in particular 3D reconstruction and visual localization.

I was a visiting researcher in the Computer Vision and Geometry Group (CVG), ETH Zurich, advised by Prof. Marc Pollefeys. Before this, I spent most of my research time in the Visual Computing and Learning Lab (VCL), The Center on Frontiers of Computing Studies (CFCS), Peking University (PKU). Due to COVID-19, I remotely collaborated with Prof. Leonidas J. Guibas and Prof. Thomas Funkhouser. I was also a research intern in the Advanced Innovation Center for Future Visual Entertainment (AICFVE), in Beijing Film Academy (BFA), in collaboration with Prof. Kai Xu.

Email: siyandong.3 [at] gmail.com
Google Scholar  /  Github

Selected Publications

Visual Localization via Few-Shot Scene Region Classification

Siyan Dong*, Shuzhe Wang*, Yixin Zhuang, Juho Kannala, Marc Pollefeys, Baoquan Chen

International Conference on 3D Vision (3DV) 2022

Paper  /  Code  /  Video

Towards Accurate Active Camera Localization

Qihang Fang*, Yingda Yin*, Qingnan Fan, Fei Xia, Siyan Dong, Sheng Wang, Jue Wang, Leonidas Guibas, Baoquan Chen

European Conference on Computer Vision (ECCV) 2022

Paper  /  Code  /  Video

Multi-Robot Active Mapping via Neural Bipartite Graph Matching

Kai Ye*, Siyan Dong*, Qingnan Fan, He Wang, Li Yi, Fei Xia, Jue Wang, Baoquan Chen

IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) 2022

Paper  /  Code  /  Video

Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments

Siyan Dong*, Qingnan Fan*, He Wang, Ji Shi, Li Yi, Thomas Funkhouser, Baoquan Chen, Leonidas Guibas

IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) 2021 (Oral)

Paper  /  Code  /  Video  /  Poster

Multi-Robot Collaborative Dense Scene Reconstruction

Siyan Dong, Kai Xu, Qiang Zhou, Andrea Tagliasacchi, Shiqing Xin, Matthias Nießner, Baoquan Chen

ACM Transactions on Graphics (SIGGRAPH) 2019

Paper  /  Code

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