1.7k citations · 2k across the 66 of their papers we have counts for
15 papers · 1 filter
OpenUS: A Fully Open-Source Foundation Model for Ultrasound Image Analysis via Self-Adaptive Masked Contrastive Learning
Xiaoyu Zheng, Xu Chen, Awais Rauf +6
Ultrasound (US) is one of the most widely used medical imaging modalities, thanks to its low cost, portability, real-time feedback, and absence of ionizing radiation. However, US i…
Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions: An Overview of the SEG.A. 2023 Segmentation of the Aorta Challenge
Yuan Jin, Antonio Pepe, Gian Marco Melito +36
The automated analysis of the aortic vessel tree (AVT) from computed tomography angiography (CTA) holds immense clinical potential, but its development has been impeded by a lack o…
ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs
Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay +3
Dynamic Novel View Synthesis aims to generate photorealistic views of moving subjects from arbitrary viewpoints. This task is particularly challenging when relying on monocular vid…
DanceChat: Large Language Model-Guided Music-to-Dance Generation
Qing Wang, Xiaohang Yang, Yilan Dong +3
Music-to-dance generation aims to synthesize human dance motion conditioned on musical input. Despite recent progress, significant challenges remain due to the semantic gap between…
FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection
Damith Chamalke Senadeera, Muhammad Awais, Shibo Li +2
The rapid proliferation of surveillance cameras has increased the demand for automated violence detection. While CNNs and Transformers have shown success in extracting spatio-tempo…
DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios
Dimitrios Kollias, Damith C. Senadeera, Jianian Zheng +4
Violence Detection (VD) has become an increasingly vital area of research. Existing automated VD efforts are hindered by the limited availability of diverse, well-annotated databas…