Yujiao Shi

I am an assistant professor at ShanghaiTech University. I was a research fellow and completed my Ph.D. at the Australian National University, supervised by Prof. Hongdong Li. My research focuses on camera localization, 3D reconstruction, view synthesis, and scene generation, particularly from aerial perspectives.

Email / CV / Google Scholar / Twitter / Github / Linkedin

Potential Students:

Looking for highly self-motivated undergraduate/master students with strong learning and problem-solving abilities working on challenging computer vision research problems!
Postdoc, visiting undergraduate/master/PhD students, and RA positions are also available.

News

02/2025: I will serve as an Area Chair for NeurIPS 2025
01/2025: One paper is accepted at ICLR 2025, congrats Xianghui!
11/2024: Two papers are accepted at 3DV 2025
07/2024: One paper is accepted at Siggraph Asia 2024
07/2024: Two papers are accepted at ECCV 2024
05/2024: I am serving as an Area Chair for NeurIPS 2024
04/2024: Our workshop proposal "UAVs in Multimedia" is accepted at ACM MM 2024
02/2024: I am serving as a co-organizer for Women in Computer Vision Workshop at ECCV 2024
01/2024: One paper accepted to ICRA 2024
10/2023: Co-organizer of workshop "UAVs in Multimedia" at ACM MM 2023
09/2023: One paper accepted to NeurIPS 2023
06/2023: One paper accepted to IROS 2023
06/2023: Tutorial speaker on cross-model camera localization at CVPR 2023

Selected Publications

	BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization Qiwei Wang, Shaoxun Wu, and Yujiao Shi * 2025
	AerialGo: Walking-through City View Generation from Aerial Perspectives Fuqiang Zhao, Yijing Guo, Siyuan Yang, Xi Chen, Luo Wang, Lan Xu, Yingliang Zhang, Yujiao Shi , and Jingyi Yu 2025
	Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control Xianghui Ze, Zhenbo Song, Qiwei Wang, Jianfeng Lu, and Yujiao Shi * ICLR, 2025
	Letsgo: Large-scale garage modeling and rendering via lidar-assisted gaussian primitives Jiadi Cui, Junming Cao, Fuqiang Zhao, Zhipeng He, Yifan Chen, Yuhui Zhong, Lan Xu, Yujiao Shi , Yingliang Zhang , Jingyi Yu * ACM Transactions on Graphics (TOG), 2024
	FastGrasp: Efficient Grasp Synthesis with Diffusion Xiaofei Wu, Tao Liu, Caoji Li, Yuexin Ma, Yujiao Shi , and Xuming He 3DV, 2025
	Geometry-guided Cross-view Diffusion for One-to-many Cross-view Image Synthesis Tao Jun Lin, Wenqing Wang, Yujiao Shi , Akhil Perincherry, Ankit Vora, and Hongdong Li 3DV, 2025
	Weakly-supervised camera localization by ground-to-satellite image registration Yujiao Shi , Akhil Perincherry, Ankit Vora, and Hongdong Li ECCV, 2024
	Adapting fine-grained cross-view localization to areas without fine ground truth Zimin Xia, Yujiao Shi , Hongdong Li, and Julian FP Kooij ECCV, 2024
	Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer Yujiao Shi , Fei Wu, Akhil Perincherry, Ankit Vora, and Hongdong Li ICCV, 2023 paper / code This work proposes a decoupled rotation and translation estimation method for cross-view image matching, achieving significant performance improvement.
	CVLNet: Cross-View Semantic Correspondence Learning for Video-based Camera Localization Yujiao Shi , Xin Yu, Shan Wang, and Hongdong Li ACCV, 2022 paper / code This work addresses city-scale satellite image-based camera localization by using a sequence of ground-view images.
	Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image Yujiao Shi , Hongdong Li CVPR, 2022 paper / code We introduce a new pose optimization method to accurately pinpoint which pixel in a satellite image corresponds to the query camera location.
	Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching Yujiao Shi , Xin Yu, Liu Liu, Dylan Campbell, Piotr Koniusz, and Hongdong Li TPAMI, 2022 paper / code We propose projective transform, which (1) compliments polar transform to achieve better coarse localization performance and (2) provides a novel handcrafted method to accurately localize query camera on its matching satellite image.
	Geometry-Guided Street-View Panorama Synthesis from Satellite Imagery Yujiao Shi , Dylan Campbell, Xin Yu, and Hongdong Li TPAMI, 2022 paper / code Satellite to street-view panorama synthesis, implicit satellite image height map estimation.
	Self-Supervised Visibility Learning for Novel View Synthesis Yujiao Shi , Hongdong Li, and Xin Yu CVPR, 2021 paper / code We estimate target-view depth and source-view visibility in an end-to-end manner.
	Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching Yujiao Shi , Xin Yu, Dylan Campbell, and Hongdong Li CVPR, 2020 paper / code The first 3-DoF camera pose estimation framework via ground-to-satellite image matching.
	Optimal Feature Transport for Cross-View Image Geo-Localization Yujiao Shi , Xin Yu, Liu Liu, Tong Zhang, and Hongdong Li AAAI, 2020 paper / code Motivated by optimal transport, we invent a cross-view feature transport module to bridge the cross-view domain gap.
	Spatial-Aware Feature Aggregation for Cross-View Image based Geo-Localization Yujiao Shi , Liu Liu, Xin Yu, and Hongdong Li NeurIPS, 2019 paper / code A polar transform is introduced to bridge the ground-and-satellite domain gap, which significantly boosts the state-of-the-art cross-view localization performance.