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20082026
most citedUnifying Large Language Models and Knowledge Graphs: A Roadmap

1.2k citations

Showing 2023 · cs.CVShow all

7 papers · 2 filters

cs.CV2023★ 61 cited

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation

Jianghao Wu, Guotai Wang, Ran Gu +6

Domain Adaptation (DA) is important for deep learning-based medical image segmentation models to deal with testing images from a new target domain. As the source-domain data are us…

cs.CV2023★ 28 cited

SoccerNet 2023 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +99

The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…

cs.CV2023★ 35 cited

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Jianning Li, Zongwei Zhou, Jiancheng Yang +154

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…

cs.CV2023★ 2 cited

Bundle-specific Tractogram Distribution Estimation Using Higher-order Streamline Differential Equation

Yuanjing Feng, Lei Xie, Jingqiang Wang +4

Tractography traces the peak directions extracted from fiber orientation distribution (FOD) suffering from ambiguous spatial correspondences between diffusion directions and fiber…

cs.CV2023★ 12 cited

Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization

Yuheng Yang, Haipeng Chen, Zhenguang Liu +5

Action recognition has long been a fundamental and intriguing problem in artificial intelligence. The task is challenging due to the high dimensionality nature of an action, as wel…

cs.CV2023★ 57 cited

FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation

Yan Wang, Jian Cheng, Yixin Chen +5

Medical image segmentation methods normally perform poorly when there is a domain shift between training and testing data. Unsupervised Domain Adaptation (UDA) addresses the domain…

cs.CV2023★ 15 cited

EC-SfM: Efficient Covisibility-based Structure-from-Motion for Both Sequential and Unordered Images

Zhichao Ye, Chong Bao, Xin Zhou +3

Structure-from-Motion is a technology used to obtain scene structure through image collection, which is a fundamental problem in computer vision. For unordered Internet images, SfM…