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Outputs (3164)

PyTorch-based Implementation of Label-aware Graph Representation for Multi-class Trajectory Prediction (2021)
Journal Article
Men, Q., & Shum, H. P. (2022). PyTorch-based Implementation of Label-aware Graph Representation for Multi-class Trajectory Prediction. Software impacts, 11, Article 100201. https://doi.org/10.1016/j.simpa.2021.100201

Trajectory Prediction under diverse patterns has attracted increasing attention in multiple real-world applications ranging from urban traffic analysis to human motion understanding, among which graph convolution network (GCN) is frequently adopted w... Read More about PyTorch-based Implementation of Label-aware Graph Representation for Multi-class Trajectory Prediction.

Robust 3D U-Net Segmentation of Macular Holes (2021)
Presentation / Conference Contribution
Frawley, J., Willcocks, C. G., Habib, M., Geenen, C., Steel, D. H., & Obara, B. (2021, December). Robust 3D U-Net Segmentation of Macular Holes. Presented at The 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, Dublin, Republic of Ireland, December 9-10, 2021, Dublin, Ireland

Macular holes are a common eye condition which result in visual impairment. We look at the application of deep convolutional neural networks to the problem of macular hole segmentation. We use the 3D U-Net architecture as a basis and experiment with... Read More about Robust 3D U-Net Segmentation of Macular Holes.

Tree pivot-minors and linear rank-width (2021)
Journal Article
Dabrowski, K., Dross, F., Jeong, J., Kante, M., Kwon, O., Oum, S., & Paulusma, D. (2021). Tree pivot-minors and linear rank-width. SIAM Journal on Discrete Mathematics, 35(4), 2922-2945. https://doi.org/10.1137/21m1402339

Tree-width and its linear variant path-width play a central role for the graph minor relation. In particular, Robertson and Seymour (1983) proved that for every tree T, the class of graphs that do not contain T as a minor has bounded path-width. For... Read More about Tree pivot-minors and linear rank-width.

Cybernetics, listening, and sound-studio phenomenotechnique in Abraham Moles’s Théorie de l’information et perception esthétique (1958) (2021)
Journal Article
Bell, E. (2021). Cybernetics, listening, and sound-studio phenomenotechnique in Abraham Moles’s Théorie de l’information et perception esthétique (1958). Resonance (Oakland, Calif.), 2(4), 523-558. https://doi.org/10.1525/res.2021.2.4.523

In his Théorie de l’information et perception esthétique (1958), the sociologist of culture Abraham Moles (1920–1992) set out to demonstrate the applicability of information theory—a mathematical linchpin of cybernetics—to the arts more generally. Mo... Read More about Cybernetics, listening, and sound-studio phenomenotechnique in Abraham Moles’s Théorie de l’information et perception esthétique (1958).

Amnesia in the Atlantic: an AI Driven Serious Game on Marine Biodiversity (2021)
Presentation / Conference Contribution
Dionísio, M., Nisi, V., Xin, J., Bala, P., James, S., & Jardim Nunes, N. (2021, November). Amnesia in the Atlantic: an AI Driven Serious Game on Marine Biodiversity

The use of Conversational Interfaces has evolved rapidly in numerous fields; in particular, they are an interesting tool for Serious Games to leverage on. Conversational Interfaces can assist Serious Games’ goals, namely in presenting knowledge throu... Read More about Amnesia in the Atlantic: an AI Driven Serious Game on Marine Biodiversity.

Partitioning H-free graphs of bounded diameter (2021)
Presentation / Conference Contribution
Brause, C., Golovach, P. A., Martin, B., Paulusma, D., & Smith, S. (2021, December). Partitioning H-free graphs of bounded diameter. Presented at 32nd International Symposium on Algorithms and Computation (ISAAC 2021), Fukuoka, Japan

A natural way of increasing our understanding of NP-complete graph problems is to restrict the input to a special graph class. Classes of H-free graphs, that is, graphs that do not contain some graph H as an induced subgraph, have proven to be an ide... Read More about Partitioning H-free graphs of bounded diameter.

Re-ID-AR: Improved Person Re-identification in Video via Joint Weakly Supervised Action Recognition (2021)
Presentation / Conference Contribution
Alsehaim, A., & Breckon, T. (2021, November). Re-ID-AR: Improved Person Re-identification in Video via Joint Weakly Supervised Action Recognition. Presented at BMVC 2021, Online

We uniquely consider the task of joint person re-identification (Re-ID) and action recognition in video as a multi-task problem. In addition to the broader potential of joint Re-ID and action recognition within the context of automated multi-camera s... Read More about Re-ID-AR: Improved Person Re-identification in Video via Joint Weakly Supervised Action Recognition.

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark (2021)
Presentation / Conference Contribution
Isaac-Medina, B. K., Poyser, M., Organisciak, D., Willcocks, C. G., Breckon, T. P., & Shum, H. P. (2021, October). Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. Presented at 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Montreal, BC, Canada

Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to both negligent and malicious use. For this reason, the automated detection and tracking of UAV is a fundamental task in aerial security systems. Common technologies for... Read More about Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark.