Computers & Graphics-UK

Papers
(The H4-Index of Computers & Graphics-UK is 22. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
ConvPoint: Continuous convolutions for point cloud processing171
ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation105
A survey of visual analytics for Explainable Artificial Intelligence methods76
A robot arm digital twin utilising reinforcement learning65
A comprehensive survey of LIDAR-based 3D object detection methods with deep learning for autonomous driving61
ARtention: A design space for gaze-adaptive user interfaces in augmented reality50
Single-View 3D reconstruction: A Survey of deep learning methods45
A collaborative virtual reality environment for liver surgery planning43
Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio35
SHREC 2020: Classification in cryo-electron tomograms33
A critical analysis on remote collaboration mediated by Augmented Reality: Making a case for improved characterization and evaluation of the collaborative process29
Graph neural network-accelerated Lagrangian fluid simulation26
A visual approach to explainable computerized clinical decision support26
Impact of avatar facial anthropomorphism on body ownership, attractiveness and social presence in collaborative tasks in immersive virtual environments26
A comparative study on inter-brain synchrony in real and virtual environments using hyperscanning25
A survey of multisensory VR and AR applications for cultural heritage24
SHREC’20: Shape correspondence with non-isometric deformations23
An application independent review of multimodal 3D registration methods23
Bringing full-featured mobile phone interaction into virtual reality23
Adversarial gesture generation with realistic gesture phasing23
REMOVED: SHREC 2021: 3D point cloud change detection for street scenes22
A vision for contextualized evaluation of remote collaboration supported by AR22
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