most cited3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers

38 citations · 44 across the 4 of their papers we have counts for

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cs.CV2024

Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning

Wenjin Hou, Shiming Chen, Shuhuang Chen +6

Generative Zero-shot learning (ZSL) learns a generator to synthesize visual samples for unseen classes, which is an effective way to advance ZSL. However, existing generative metho…

cs.CV2024

EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection

Zhe Wang, Siqi Fan, Xiaoliang Huo +5

In autonomous driving, cooperative perception makes use of multi-view cameras from both vehicles and infrastructure, providing a global vantage point with rich semantic context of…

cs.CV20243 cited

GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment

Zewen Chen, Juan Wang, Bing Li +7

Due to the subjective nature of image quality assessment (IQA), assessing which image has better quality among a sequence of images is more reliable than assigning an absolute mean…

cs.CV202338 cited

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers

Jieneng Chen, Jieru Mei, Xianhang Li +12

Medical image segmentation plays a crucial role in advancing healthcare systems for disease diagnosis and treatment planning. The u-shaped architecture, popularly known as U-Net, h…

cs.CV20231 cited

AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception

Dingkang Yang, Shuai Huang, Zhi Xu +12

Driver distraction has become a significant cause of severe traffic accidents over the past decade. Despite the growing development of vision-driven driver monitoring systems, the…