most citedLimited-View Photoacoustic Imaging Reconstruction Via High-quality Self-supervised Neural Representation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

XS-VID: An Extremely Small Video Object Detection Dataset

Jiahao Guo, Ziyang Xu, Lianjun Wu +3

Small Video Object Detection (SVOD) is a crucial subfield in modern computer vision, essential for early object discovery and detection. However, existing SVOD datasets are scarce…

cs.CV20241 cited

Limited-View Photoacoustic Imaging Reconstruction Via High-quality Self-supervised Neural Representation

Youshen xiao, Yuting Shen, Bowei Yao +3

In practical applications within the human body, it is often challenging to fully encompass the target tissue or organ, necessitating the use of limited-view arrays, which can lead…

cs.RO2024

Preserving Relative Localization of FoV-Limited Drone Swarm via Active Mutual Observation

Lianjie Guo, Zaitian Gongye, Ziyi Xu +4

Relative state estimation is crucial for vision-based swarms to estimate and compensate for the unavoidable drift of visual odometry. For autonomous drones equipped with the most c…

eess.IV2024

Sparse-view Signal-domain Photoacoustic Tomography Reconstruction Method Based on Neural Representation

Bowei Yao, Yi Zeng, Haizhao Dai +6

Photoacoustic tomography is a hybrid biomedical technology, which combines the advantages of acoustic and optical imaging. However, for the conventional image reconstruction method…

cs.RO2024

Sparse-Graph-Enabled Formation Planning for Large-Scale Aerial Swarms

Yuan Zhou, Lun Quan, Chao Xu +2

The formation trajectory planning using complete graphs to model collaborative constraints becomes computationally intractable as the number of drones increases due to the curse of…