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All Outputs (112)

Adaptive Visual-Depth Fusion Transfer (2018)
Presentation / Conference Contribution
Cai, Z., Long, Y., & Shao, L. (2018, December). Adaptive Visual-Depth Fusion Transfer. Presented at ACCV

Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics (2018)
Presentation / Conference Contribution
Wang, J., & Kojima, K. (2018, July). Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics. Presented at 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI), Yonago, Japan

In this paper, we present a mathematical model for forming heterogeneous groups of learners under different teaching strategies. This model requires a formulation which can effectively predict the learning performance of cooperative learning groups.... Read More about Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics.

DLopC: Data Locality Independency-Aware VM Clustering in Cloud Computing (2018)
Presentation / Conference Contribution
Mudgill, V., Aujla, G. S., Kumar, N., Obaidat, M. S., & Prodan, R. (2018, December). DLopC: Data Locality Independency-Aware VM Clustering in Cloud Computing. Presented at 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates

AMNet: Memorability Estimation with Attention (2018)
Presentation / Conference Contribution
Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2018, December). AMNet: Memorability Estimation with Attention. Presented at 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) IEEE; CVF; IEEE Comp Soc

Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments (2018)
Presentation / Conference Contribution
McGough, S., Forshaw, M., Brennan, J., Al Moubayed, N., & Bonner, S. (2018, October). Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. Presented at 9th International Green and Sustainable Computing Conference., Pittsburgh, PA, US

High Throughput Computing (HTC) provides a convenient mechanism for running thousands of tasks. Many HTC systems exploit computers which are provisioned for other purposes by utilising their idle time - volunteer computing. This has great advantages... Read More about Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments.

Deterministic Dispersion of Mobile Robots in Dynamic Rings (2018)
Presentation / Conference Contribution
Agarwalla, A., Augustine, J., Moses Jr., W. K., Sankar K., M., & Sridhar, A. K. (2018, December). Deterministic Dispersion of Mobile Robots in Dynamic Rings. Presented at Proceedings of the 19th International Conference on Distributed Computing and Networking

Φ Clust: Pheromone-Based Aggregation for Robotic Swarms (2018)
Presentation / Conference Contribution
Arvin, F., Turgut, A. E., Krajnik, T., Rahimi, S., Okay, I. E., Yue, S., Watson, S., & Lennox, B. (2018, October). Φ Clust: Pheromone-Based Aggregation for Robotic Swarms. Presented at 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain

In this paper, we proposed a pheromone-based aggregation method based on the state-of-the-art BEECLUST algorithm. We investigated the impact of pheromone-based communication on the efficiency of robotic swarms to locate and aggregate at areas with a... Read More about Φ Clust: Pheromone-Based Aggregation for Robotic Swarms.

Object 3D Reconstruction based on Photometric Stereo and Inverted Rendering (2018)
Presentation / Conference Contribution
Khadka, A. R., Remagnino, P., & Argyriou, V. (2018, December). Object 3D Reconstruction based on Photometric Stereo and Inverted Rendering. Presented at 2018 14TH INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGY \& INTERNET BASED SYSTEMS (SITIS) IEEE Comp Soc; Univ Las Palmas Gran Canaria; Univ Milan; Univ Bourgogne, Laboratoire Electronique Image Informatique Res Grp; Natl Res Council Italy, Inst High

A deep convolutional auto-encoder with embedded clustering (2018)
Presentation / Conference Contribution
Alqahtani, A., Xie, X., Deng, J., & Jones, M. W. (2018, December). A deep convolutional auto-encoder with embedded clustering. Presented at 2018 25th IEEE international conference on image processing (ICIP) IEEE

Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation (2018)
Presentation / Conference Contribution
Kaneko, K., & Wang, J. (2018, July). Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation. Presented at 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI), Yonago, Japan

This paper discusses about learning methods to overcome stress or pressure. We had an experiment in which learners were given a quiz game for each learner to need responsibility for their team. Each learner was also given learning time for the game s... Read More about Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation.

Remote Heart Rate Extraction Using Microsoft KinectTM v2.0 (2018)
Presentation / Conference Contribution
Malasinghe, L., Katsigiannis, S., Ramzan, N., & Dahal, K. (2018, December). Remote Heart Rate Extraction Using Microsoft KinectTM v2.0. Presented at 10th International Conference on Bioinformatics and Biomedical Technology (ICBBT), Amsterdam, Netherlands

Towards Universal Representation for Unseen Action Recognition (2018)
Presentation / Conference Contribution
Zhu, Y., Long, Y., Guan, Y., Newsam, S., & Shao, L. (2018, December). Towards Universal Representation for Unseen Action Recognition. Presented at 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) IEEE; CVF; IEEE Comp Soc, 345 E 47TH ST, NEW YORK, NY 10017 USA

A Perceptual Difference Scaling Study on Quantized 3D Models (2018)
Presentation / Conference Contribution
Almutairi, A., Saarela, T., & Ivrissimtzis, I. (2018, December). A Perceptual Difference Scaling Study on Quantized 3D Models. Paper presented at ACM Symposium on Applied Perception, Vancouver, Canada