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20162024
most citedCross-Modality Deep Feature Learning for Brain Tumor Segmentation

290 citations · 448 across the 29 of their papers we have counts for

collaborators
Showing 2024Show all

14 papers · 1 filter

cs.CV20241 cited

CoSurfGS:Collaborative 3D Surface Gaussian Splatting with Distributed Learning for Large Scene Reconstruction

Yuanyuan Gao, Yalun Dai, Hao Li +7

3D Gaussian Splatting (3DGS) has demonstrated impressive performance in scene reconstruction. However, most existing GS-based surface reconstruction methods focus on 3D objects or…

cs.CV2024

Learning Camera Movement Control from Real-World Drone Videos

Yunzhong Hou, Liang Zheng, Philip Torr

This study seeks to automate camera movement control for filming existing subjects into attractive videos, contrasting with the creation of non-existent content by directly generat…

cs.CV2024

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes

Hao Li, Yuanyuan Gao, Haosong Peng +7

Novel-view synthesis (NVS) approaches play a critical role in vast scene reconstruction. However, these methods rely heavily on dense image inputs and prolonged training times, mak…

cs.CV2024

Physics-Guided Detector for SAR Airplanes

Zhongling Huang, Long Liu, Shuxin Yang +3

The disperse structure distributions (discreteness) and variant scattering characteristics (variability) of SAR airplane targets lead to special challenges of object detection and…

cs.CV20241 cited

X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images

Zhongling Huang, Yihan Zhuang, Zipei Zhong +3

SAR image simulation has attracted much attention due to its great potential to supplement the scarce training data for deep learning algorithms. Consequently, evaluating the quali…

eess.IV20244 cited

ASPS: Augmented Segment Anything Model for Polyp Segmentation

Huiqian Li, Dingwen Zhang, Jieru Yao +3

Polyp segmentation plays a pivotal role in colorectal cancer diagnosis. Recently, the emergence of the Segment Anything Model (SAM) has introduced unprecedented potential for polyp…