All Outputs (3180)

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval (2024)
Presentation / Conference Contribution
Wu, S., Li, Y., Zhu, K., Zhang, G., Liang, Y., Ma, K., Xiao, C., Zhang, H., Yang, B., Chen, W., Huang, W., Al Moubayed, N., Fu, J., & Lin, C. (2024, August). SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. Presented at ACL 2024: Annual Meeting of the Association for Computational Linguistics, Bangkok, Thailand

Multi-modal information retrieval (MMIR) is a rapidly evolving field where significant progress has been made through advanced representation learning and cross-modality alignment research, particularly in image-text pairs. However, current benchmark... Read More about SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval.

Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical text (2024)
Journal Article
Davies, H., Nenadic, G., Alfattni, G., Arguello Casteleiro, M., Al Moubayed, N., Farrell, S., Radford, A. D., & Noble, P.-J. M. (2024). Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical text. Frontiers in Veterinary Science, 11, Article 1352726. https://doi.org/10.3389/fvets.2024.1352726

In part two of this mini-series, we evaluate the range of machine-learning tools now available for application to veterinary clinical text-mining. These tools will be vital to automate extraction of information from large datasets of veterinary clini... Read More about Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical text.

Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation (2024)
Presentation / Conference Contribution
Li, Y., Ren, H., Deng, J., Ma, X., & Xie, X. (2024, May). Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation. Presented at 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece

Nucleus segmentation is a vitally important task in biomedical image analysis which leads to multiple applications such as cellular behavior study, tumor detection and cancer diagnosis. However, challenges, such as ambiguous boundary for touching or... Read More about Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation.

Minimize BER without CSI for dynamic RIS-assisted wireless broadcast communication systems (2024)
Journal Article
Gong, B., Huang, G., & Tu, W. (2024). Minimize BER without CSI for dynamic RIS-assisted wireless broadcast communication systems. Computer Networks, 253, Article 110729. https://doi.org/10.1016/j.comnet.2024.110729

This paper studies a dynamic reconfigurable intelligent surface (RIS)-assisted broadcast communication system where a transmitter broadcasts information to multiple receivers with time-varying locations via a RIS. The goal is to min... Read More about Minimize BER without CSI for dynamic RIS-assisted wireless broadcast communication systems.

Code Gradients: Towards Automated Traceability of LLM-Generated Code (2024)
Presentation / Conference Contribution
North, M., Atapour-Abarghouei, A., & Bencomo, N. (2024, June). Code Gradients: Towards Automated Traceability of LLM-Generated Code. Presented at 2024 IEEE 32nd International Requirements Engineering Conference (RE), Reykjavik, Iceland

Large language models (LLMs) have recently seen huge growth in capability and usage. Within software engineering, LLMs are increasingly being used by developers to generate code. Code generated by an LLM can be seen essentially a continuous mapping f... Read More about Code Gradients: Towards Automated Traceability of LLM-Generated Code.

Dichotomies for Maximum Matching Cut: H-freeness, bounded diameter, bounded radius (2024)
Journal Article
Lucke, F., Paulusma, D., & Ries, B. (2024). Dichotomies for Maximum Matching Cut: H-freeness, bounded diameter, bounded radius. Theoretical Computer Science, 1017, Article 114795. https://doi.org/10.1016/j.tcs.2024.114795

Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments (2024)
Journal Article
Rekabi Bana, F., Krajník, T., & Arvin, F. (2024). Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments. Frontiers in Robotics and AI, 11, Article 1375393. https://doi.org/10.3389/frobt.2024.1375393

Cooperative multi-agent systems make it possible to employ miniature robots in order to perform different experiments for data collection in wide open areas to physical interactions with test subjects in confined environments such as a hive. This pap... Read More about Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments.

ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification (2024)
Book Chapter
Vijendran, M., Li, F. W. B., Deng, J., & Shum, H. P. H. (in press). ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification. In CCIS '24: Communications in Computer and Information Science. Springer

Hand gesture recognition for user-defined textual inputs and gestures (2024)
Journal Article
Wang, J., Ivrissimtzis, I., Li, Z., & Shi, L. (2025). Hand gesture recognition for user-defined textual inputs and gestures. Universal Access in the Information Society, 24, 1315–1329. https://doi.org/10.1007/s10209-024-01139-6

Despite recent progress, hand gesture recognition, a highly regarded method of human computer interaction, still faces considerable challenges. In this paper, we address the problem of individual user style variation, which can significantly affect s... Read More about Hand gesture recognition for user-defined textual inputs and gestures.

Responsible AI in Personalised Movie Recommender Systems for the Hearing Impaired Community (2024)
Presentation / Conference Contribution
Vachhani, R., & Hadzidedic, S. (2024, September). Responsible AI in Personalised Movie Recommender Systems for the Hearing Impaired Community. Presented at 2024 Intelligent Systems Conference (IntelliSys), Amsterdam, The Netherlands

The aim of this paper is to develop a personalised recommender system (RS) in the movie domain - MRSystem - with a focus on Responsible AI for the hearing impaired community. There is currently no movie RS that looks at protected characteristics when... Read More about Responsible AI in Personalised Movie Recommender Systems for the Hearing Impaired Community.

Fitting Room: Lung Transplantation Donor-Recipient Size-matching in Virtual Reality (2024)
Presentation / Conference Contribution
Sibrina, D., Novysedlak, R., Kolarik, J., Lischke, R., & Koulieris, G. A. (2024, July). Fitting Room: Lung Transplantation Donor-Recipient Size-matching in Virtual Reality. Poster presented at SIGGRAPH '24: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Denver CO USA

Optimising IT Security Research via a Low Cost, Instantly Available, Cloud Based Cyber Range (2024)
Presentation / Conference Contribution
Wake, P., Black, S., & Young, J. (2024, July). Optimising IT Security Research via a Low Cost, Instantly Available, Cloud Based Cyber Range. Presented at 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET), Sydney, Australia

Testing the effectiveness of IT security measures for enterprises, companies, and institutions can often incur substantial costs in terms of time and resources. These costs encompass not only the investment in infrastructure for creating a cyber rang... Read More about Optimising IT Security Research via a Low Cost, Instantly Available, Cloud Based Cyber Range.

Grundlagen des parallelen wissenschaftlichen Rechnens: Ein erster Leitfaden zu numerischen Konzepten und Programmiermethoden (2024)
Book
Weinzierl, T. (2024). Grundlagen des parallelen wissenschaftlichen Rechnens: Ein erster Leitfaden zu numerischen Konzepten und Programmiermethoden. Springer. https://doi.org/10.1007/978-3-031-49082-8

Neue Erkenntnisse in vielen wissenschaftlichen und technischen Bereichen sind ohne den Einsatz numerischer Simulationen, die auf modernen Computern effizient ablaufen, nicht denkbar. Je schneller wir neue Ergebnisse erhalten, desto größer und genauer... Read More about Grundlagen des parallelen wissenschaftlichen Rechnens: Ein erster Leitfaden zu numerischen Konzepten und Programmiermethoden.

Geometric Features Enhanced Human-Object Interaction Detection (2024)
Journal Article
Zhu, M., Ho, E. S. L., Chen, S., Yang, L., & Shum, H. P. H. (2024). Geometric Features Enhanced Human-Object Interaction Detection. IEEE Transactions on Instrumentation and Measurement, 73, Article 5026014. https://doi.org/10.1109/TIM.2024.3427800

Cameras are essential vision instruments to capture images for pattern detection and measurement. Human–object interaction (HOI) detection is one of the most popular pattern detection approaches for captured human-centric visual scenes. Recently, Tra... Read More about Geometric Features Enhanced Human-Object Interaction Detection.

SID-NERF: Few-Shot Nerf Based on Scene Information Distribution (2024)
Presentation / Conference Contribution
Li, Y., Wan, F., & Long, Y. (2024, July). SID-NERF: Few-Shot Nerf Based on Scene Information Distribution. Presented at 2024 IEEE International Conference on Multimedia and Expo (ICME), Niagara Falls, ON, Canada

The novel view synthesis from a limited set of images is a significant research focus. Traditional NeRF methods, relying mainly on color supervision, struggle with accurate scene geometry reconstruction when faced with sparse input images, leading to... Read More about SID-NERF: Few-Shot Nerf Based on Scene Information Distribution.

The complexity of computing optimum labelings for temporal connectivity (2024)
Journal Article
Klobas, N., Mertzios, G., Molter, H., & Spirakis, P. (2024). The complexity of computing optimum labelings for temporal connectivity. Journal of Computer and System Sciences, 146, Article 103564. https://doi.org/10.1016/j.jcss.2024.103564

A graph is temporally connected if a strict temporal path exists from every vertex u to every other vertex v. This paper studies temporal design problems for undirected temporally connected graphs. Given a connected undirected graph G, the goal is to... Read More about The complexity of computing optimum labelings for temporal connectivity.

Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials (2024)
Presentation / Conference Contribution
Wynn, A., Wang, J., & Valente, A. (2024, July). Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials. Presented at ITiCSE 2024: Innovation and Technology in Computer Science Education, Milan, Italy

Beginner programmers can develop an intuitive understanding of programming by leveraging the motivating field of multimedia to visually inspect outputs and experiment with different ways to solve problems. This paper presents MediaLib, a Python libra... Read More about Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials.

1-in-3 vs. Not-All-Equal: Dichotomy of a broken promise (2024)
Presentation / Conference Contribution
Ciardo, L., Kozik, M., Krokhin, A., Nakajima, T.-V., & Živný, S. (2024, July). 1-in-3 vs. Not-All-Equal: Dichotomy of a broken promise. Presented at LLICS '24: 39th Annual ACM/IEEE Symposium on Logic in Computer Science, Tallinn, Estonia

The 1-in-3 and Not-All-Equal satisfiability problems for Boolean CNF formulas are two well-known NP-hard problems. In contrast, the promise 1-in-3 vs. Not-All-Equal problem can be solved in polynomial time. In the present work, we investigate this co... Read More about 1-in-3 vs. Not-All-Equal: Dichotomy of a broken promise.

Parallel Derandomization for Coloring (2024)
Presentation / Conference Contribution
Coy, S., Czumaj, A., Davies-Peck, P., & Mishra, G. (2024, May). Parallel Derandomization for Coloring. Presented at 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2024), San Francisco

Graph coloring problems are among the most fundamental problems in parallel and distributed computing, and have been studied extensively in both settings. In this context, designing efficient deterministic algorithms for these problems has been found... Read More about Parallel Derandomization for Coloring.

Introducing Code Quality in the CS1 Classroom (2024)
Presentation / Conference Contribution
Izu, C., Mirolo, C., Börstler, J., Connamacher, H., Crosby, R., Glassey, R., Haldeman, G., Kiljunen, O., Kumar, A. N., Liu, D., Luxton-Reilly, A., Matsumoto, S., Carneiro de Oliveira, E., Russell, S., & Shah, A. (2024, July). Introducing Code Quality in the CS1 Classroom. Presented at ITiCSE 2024: Innovation and Technology in Computer Science Education, Milan Italy

Characterising code quality is a challenge that was addressed by Börstler et al. 's working group in 2017. As emerged from their study, educators, developers and students have different perceptions of the manifold aspects involved, and a major conclu... Read More about Introducing Code Quality in the CS1 Classroom.