Outputs (2785)

Graphs with minimum degree-entropy (2024)
Journal Article
Dong, Y., Gadouleau, M., Wan, P., & Zhang, S. (2024). Graphs with minimum degree-entropy. Information Sciences, 671, 120629. https://doi.org/10.1016/j.ins.2024.120629

We continue studying extremal values of the degree-entropy, which is an information-theoretic measure defined as the Shannon entropy based on the information functional involving vertex degrees. For a graph with a given number of vertices and edges a... Read More about Graphs with minimum degree-entropy.

Advanced VR Calibration for Upper Limb Rehabilitation: Making Immersive Environments Accessible (2024)
Presentation / Conference Contribution
Herrera, V., Reyes-Guzmán, A., Vallejo, D., Castro-Schez, J., Monekosso, D., Carlos, G., & Albusac, J. (2024). Advanced VR Calibration for Upper Limb Rehabilitation: Making Immersive Environments Accessible. In Proceedings of the 26th International Conference on Enterprise Information Systems (378-389). https://doi.org/10.5220/0012624600003690

The creation of accessible spaces is essential for patients with motor injuries to conduct therapy safely and effectively. Disruptive technologies such as Virtual Reality (VR) are increasingly being used as a complement to traditional therapy, with e... Read More about Advanced VR Calibration for Upper Limb Rehabilitation: Making Immersive Environments Accessible.

Towards Cognition-Aligned Visual Language Models via Zero-Shot Instance Retrieval (2024)
Journal Article
Ma, T., Organisciak, D., Ma, W., & Long, Y. (2024). Towards Cognition-Aligned Visual Language Models via Zero-Shot Instance Retrieval. Electronics, 13(9), Article 1660. https://doi.org/10.3390/electronics13091660

The pursuit of Artificial Intelligence (AI) that emulates human cognitive processes is a cornerstone of ethical AI development, ensuring that emerging technologies can seamlessly integrate into societal frameworks requiring nuanced understanding and... Read More about Towards Cognition-Aligned Visual Language Models via Zero-Shot Instance Retrieval.

An Algorithmic Framework for Locally Constrained Homomorphisms (2024)
Journal Article
Bulteau, L., Dabrowski, K., Köhler, N., Ordyniak, S., & Paulusma, D. (2024). An Algorithmic Framework for Locally Constrained Homomorphisms. SIAM Journal on Discrete Mathematics, 38(2), 1315-1350. https://doi.org/10.1137/22M1513290

Improvement in rates of optimal cord management without an increase in admission hypothermia-results of two quality improvement projects (2024)
Journal Article
K. Loganathan, P., Oldham, S., Garg, A., Nair, V., Ashton, C., & Michie, L. (online). Improvement in rates of optimal cord management without an increase in admission hypothermia-results of two quality improvement projects. Journal of Neonatal Nursing, https://doi.org/10.1016/j.jnn.2024.04.006

Background
Improving the rates of Optimal cord management (OCM), and maintaining admission normothermia remains a challenge.

Objective
To improve OCM rates and admission normot... Read More about Improvement in rates of optimal cord management without an increase in admission hypothermia-results of two quality improvement projects.

Exploiting Automorphisms of Temporal Graphs for Fast Exploration and Rendezvous (2024)
Presentation / Conference Contribution
Dogeas, K., Erlebach, T., Kammer, F., Meintrup, J., & Moses Jr, W. K. (in press). Exploiting Automorphisms of Temporal Graphs for Fast Exploration and Rendezvous. In Proceedings of the 51st EATCS International Colloquium on Automata, Languages and Programming (62:1-62:19). https://doi.org/10.4230/LIPIcs.ICALP.2024.62

U3DS3 : Unsupervised 3D Semantic Scene Segmentation (2024)
Presentation / Conference Contribution
Liu, J., Yu, Z., Breckon, T. P., & Shum, H. P. H. (2024). U3DS3 : Unsupervised 3D Semantic Scene Segmentation. In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (3747-3756). https://doi.org/10.1109/WACV57701.2024.00372

Contemporary point cloud segmentation approaches largely rely on richly annotated 3D training data. However , it is both time-consuming and challenging to obtain consistently accurate annotations for such 3D scene data. Moreover, there is still a lac... Read More about U3DS3 : Unsupervised 3D Semantic Scene Segmentation.

CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs (2024)
Presentation / Conference Contribution
Shentu, J., & Al Moubayed, N. (2024). CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs. In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (5200-5209). https://doi.org/10.1109/WACV57701.2024.00513

Chest X-Ray (CXR) images play a crucial role in clinical practice, providing vital support for diagnosis and treatment. Augmenting the CXR dataset with synthetically generated CXR images annotated with radiology reports can enhance the performance of... Read More about CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs.

Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling (2024)
Presentation / Conference Contribution
Corona-Figueroa, A., Shum, H. P. H., & Willcocks, C. G. (in press). Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling.

Two-Person Interaction Augmentation with Skeleton Priors (2024)
Presentation / Conference Contribution
Li, B., Ho, E. S. L., Shum, H. P. H., & Wang, H. (2024, June). Two-Person Interaction Augmentation with Skeleton Priors. Presented at 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington