Outputs (246)

Eye Tracking Interaction on Unmodified Mobile VR Headsets Using the Selfie Camera (2021)
Journal Article
Drakopoulos, P., Koulieris, G.-A., & Mania, K. (2021). Eye Tracking Interaction on Unmodified Mobile VR Headsets Using the Selfie Camera. ACM Transactions on Applied Perception, 18(3), 1-20. https://doi.org/10.1145/3456875

Input methods for interaction in smartphone-based virtual and mixed reality (VR/MR) are currently based on uncomfortable head tracking controlling a pointer on the screen. User fixations are a fast and natural input method for VR/MR interaction. Prev... Read More about Eye Tracking Interaction on Unmodified Mobile VR Headsets Using the Selfie Camera.

AraCust: a Saudi Telecom Tweets corpus for sentiment analysis (2021)
Journal Article
Almuqren, L., & Cristea, A. (2021). AraCust: a Saudi Telecom Tweets corpus for sentiment analysis. PeerJ Computer Science, 7, Article e510. https://doi.org/10.7717/peerj-cs.510

Comparing Arabic to other languages, Arabic lacks large corpora for Natural Language Processing (Assiri, Emam & Al-Dossari, 2018; Gamal et al., 2019). A number of scholars depended on translation from one language to another to construct their corpus... Read More about AraCust: a Saudi Telecom Tweets corpus for sentiment analysis.

Equitable scheduling on a single machine (2021)
Presentation / Conference Contribution
Heeger, K., Hermelin, D., Mertzios, G., Molter, H., Niedermeier, R., & Shabtay, D. (2021, February). Equitable scheduling on a single machine. Presented at 35th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada

We introduce a natural but seemingly yet unstudied generalization of the problem of scheduling jobs on a single machine so as to minimize the number of tardy jobs. Our generalization lies in simultaneously considering several instances of the problem... Read More about Equitable scheduling on a single machine.

Stable Hand Pose Estimation under Tremor via Graph Neural Network (2021)
Presentation / Conference Contribution
Leng, Z., Chen, J., Shum, H. P., Li, F. W., & Liang, X. (2021, March). Stable Hand Pose Estimation under Tremor via Graph Neural Network. Presented at 2021 IEEE Virtual Reality and 3D User Interfaces (VR), Lisboa

Hand pose estimation, which predicts the spatial location of hand joints, is a fundamental task in VR/AR applications. Although existing methods can recover hand pose competently, the tremor issue occurring in hand motion has not been completely solv... Read More about Stable Hand Pose Estimation under Tremor via Graph Neural Network.

A Decentralized Cluster Formation Containment Framework for Multirobot Systems (2021)
Journal Article
Hu, J., Bhowmick, P., Jang, I., Arvin, F., & Lanzon, A. (2021). A Decentralized Cluster Formation Containment Framework for Multirobot Systems. IEEE Transactions on Robotics, 37(6), 1936-1955. https://doi.org/10.1109/tro.2021.3071615

Cooperative control of multirobot systems (MRSs) has earned significant research interest over the past two decades due to its potential applications in multidisciplinary engineering problems. In contrast to a single specialized robot, the MRS can be... Read More about A Decentralized Cluster Formation Containment Framework for Multirobot Systems.

Directions of the 100 most cited chatbot-related human behavior research: A review of academic publications (2021)
Journal Article
Wang, J., Hwang, G.-H., & Chang, C.-Y. (2021). Directions of the 100 most cited chatbot-related human behavior research: A review of academic publications. Computers and Education: Artificial Intelligence, 2, https://doi.org/10.1016/j.caeai.2021.100023

Chatbots are becoming a common trend in the service industry, education, and daily life. Increasing evidence has shown that chatbots have the potential to change the way people learn and search for information in human behavior. However, a systematic... Read More about Directions of the 100 most cited chatbot-related human behavior research: A review of academic publications.

Makeup Style Transfer on Low-quality Images with Weighted Multi-scale Attention (2021)
Presentation / Conference Contribution
Organisciak, D., Ho, E. S., & Shum, H. P. (2021, January). Makeup Style Transfer on Low-quality Images with Weighted Multi-scale Attention. Presented at 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy

Facial makeup style transfer is an extremely challenging sub-field of image-to-image-translation. Due to this difficulty, state-of-the-art results are mostly reliant on the Face Parsing Algorithm, which segments a face into parts in order to easily e... Read More about Makeup Style Transfer on Low-quality Images with Weighted Multi-scale Attention.

Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery (2021)
Presentation / Conference Contribution
Sasaki, H., Willcocks, C., & Breckon, T. (2021, January). Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery. Presented at 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy

Machine learning driven object detection and classification within non-visible imagery has an important role in many fields such as night vision, all-weather surveillance and aviation security. However, such applications often suffer due to the limit... Read More about Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery.

Real Time Fencing Move Classification and Detection at Touch Time during a Fencing Match (2021)
Presentation / Conference Contribution
Sunal, C. E., Willcocks, C. G., & Obara, B. (2021, January). Real Time Fencing Move Classification and Detection at Touch Time during a Fencing Match. Presented at International Conference on Pattern Recognition (ICPR), Milan

Fencingis a fast-paced sport played with swords which are Épée, Foil, and Sabre. However, such fast-pace can cause referees to make wrong decisions. Review of slow-motion camera footage in tournaments helps referees' decision-making, but it interrupt... Read More about Real Time Fencing Move Classification and Detection at Touch Time during a Fencing Match.

Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI (2021)
Presentation / Conference Contribution
Aznan, N., Atapour-Abarghouei, A., Bonner, S., Connolly, J., & Breckon, T. (2021, January). Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI. Presented at 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy

Recently, substantial progress has been made in the area of Brain-Computer Interface (BCI) using modern machine learning techniques to decode and interpret brain signals. While Electroencephalography (EEG) has provided a non-invasive method of interf... Read More about Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.