27 citations · 28 across the 8 of their papers we have counts for
7 papers · 1 filter
Geometry-guided Cross-view Diffusion for One-to-many Cross-view Image Synthesis
Tao Jun Lin, Wenqing Wang, Yujiao Shi +3
This paper presents a novel approach for cross-view synthesis aimed at generating plausible ground-level images from corresponding satellite imagery or vice versa. We refer to thes…
Weakly-supervised Camera Localization by Ground-to-satellite Image Registration
Yujiao Shi, Hongdong Li, Akhil Perincherry +1
The ground-to-satellite image matching/retrieval was initially proposed for city-scale ground camera localization. This work addresses the problem of improving camera pose accuracy…
Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth
Zimin Xia, Yujiao Shi, Hongdong Li +1
Given a ground-level query image and a geo-referenced aerial image that covers the query's local surroundings, fine-grained cross-view localization aims to estimate the location of…
Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer
Yujiao Shi, Fei Wu, Akhil Perincherry +2
Image retrieval-based cross-view localization methods often lead to very coarse camera pose estimation, due to the limited sampling density of the database satellite images. In thi…
CVLNet: Cross-View Semantic Correspondence Learning for Video-based Camera Localization
Yujiao Shi, Xin Yu, Shan Wang +1
This paper tackles the problem of Cross-view Video-based camera Localization (CVL). The task is to localize a query camera by leveraging information from its past observations, i.e…
Self-Supervised Visibility Learning for Novel View Synthesis
Yujiao Shi, Hongdong Li, Xin Yu
We address the problem of novel view synthesis (NVS) from a few sparse source view images. Conventional image-based rendering methods estimate scene geometry and synthesize novel v…
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision
Peng Wu, Jing Liu, Yujia Shi +4
Violence detection has been studied in computer vision for years. However, previous work are either superficial, e.g., classification of short-clips, and the single scenario, or un…