All Outputs (63)

HGO-CNN: HYBRID GENERIC-ORGAN CONVOLUTIONAL NEURAL NETWORK FOR MULTI-ORGAN PLANT CLASSIFICATION (2017)
Presentation / Conference Contribution
Lee, S. H., Chang, Y. L., Chan, C. S., & Remagnino, P. (2017, December). HGO-CNN: HYBRID GENERIC-ORGAN CONVOLUTIONAL NEURAL NETWORK FOR MULTI-ORGAN PLANT CLASSIFICATION. Presented at 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) Inst Elect \& Elect Engineers; Inst Elect \& Elect Engineers Signal Proc Soc

Describing unseen classes by exemplars: Zero-shot learning using grouped simile ensemble (2017)
Presentation / Conference Contribution
Long, Y., & Shao, L. (2017, December). Describing unseen classes by exemplars: Zero-shot learning using grouped simile ensemble. Presented at 2017 IEEE winter conference on applications of computer vision (WACV) IEEE

Towards fine-grained open zero-shot learning: Inferring unseen visual features from attributes (2017)
Presentation / Conference Contribution
Long, Y., Liu, L., & Shao, L. (2017, December). Towards fine-grained open zero-shot learning: Inferring unseen visual features from attributes. Presented at 2017 IEEE Winter Conference on Applications of Computer Vision (WACV) IEEE

Learning to recognise unseen classes by a few similes (2017)
Presentation / Conference Contribution
Long, Y., & Shao, L. (2017, December). Learning to recognise unseen classes by a few similes. Presented at Proceedings of the 25th ACM international conference on Multimedia ACM

From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis (2017)
Presentation / Conference Contribution
Long, Y., Liu, L., Shao, L., Shen, F., Ding, G., & Han, J. (2017, December). From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis. Presented at Computer Vision and Pattern Recognition IEEE

Perceptual video quality evaluation by means of physiological signals (2017)
Presentation / Conference Contribution
Arnau-González, P., Althobaiti, T., Katsigiannis, S., & Ramzan, N. (2017, December). Perceptual video quality evaluation by means of physiological signals. Presented at 9th International Conference on Quality of Multimedia Experience (QoMEX), Erfurt, Germany

Automatic stylistic composition of Bach chorales with deep LSTM (2017)
Presentation / Conference Contribution
Liang, F., Gotham, M., Johnson, M., & Shotton, J. (2017, October). Automatic stylistic composition of Bach chorales with deep LSTM. Presented at ISMIR 2017: 18th International Society for Music Information Retrieval Conference, Suzhou

This paper presents "BachBot": an end-to-end automatic composition system for composing and completing music in the style of Bach's chorales using a deep long short-term memory (LSTM) generative model. We propose a new sequential encoding scheme for... Read More about Automatic stylistic composition of Bach chorales with deep LSTM.

Software Centric Innovative Methodology for Ontology Development. (2017)
Presentation / Conference Contribution
John, S., Shah, N., Stewart, C., & Samlov, L. (2017, December). Software Centric Innovative Methodology for Ontology Development. Presented at KEOD

An Evaluation Of Region Based Object Detection Strategies Within X-Ray Baggage Security Imagery (2017)
Presentation / Conference Contribution
Akcay, S., & Breckon, T. (2017, December). An Evaluation Of Region Based Object Detection Strategies Within X-Ray Baggage Security Imagery. Presented at IEEE International Conference on Image Processing (ICIP), Beijing, China

A user study on quantisation thresholds of triangle meshes (2017)
Presentation / Conference Contribution
Almutairi, A., Saarela, T., & Ivrissimtzis, I. (2017, September). A user study on quantisation thresholds of triangle meshes. Presented at Computer Graphics and Visual Computing (CGVC) 2017., Manchester, England

We present the results of a user study on estimating a quantisation threshold above which the quantised triangle mesh is perceived as indistinguishable from its unquantised original. The design of the experiment and the analysis of the results focus... Read More about A user study on quantisation thresholds of triangle meshes.

Labeling subtle conversational interactions within the CONVERSE dataset (2017)
Presentation / Conference Contribution
Edwards, M., Deng, J., & Xie, X. (2017, December). Labeling subtle conversational interactions within the CONVERSE dataset. Presented at 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) IEEE

An Optimised Deep Neural Network Approach for Forest Trail Navigation for UAV Operation within the Forest Canopy (2017)
Presentation / Conference Contribution
Maciel-Pearson, B., & Breckon, T. (2017, December). An Optimised Deep Neural Network Approach for Forest Trail Navigation for UAV Operation within the Forest Canopy. Presented at The UK-RAS Network Conference on Robotics and Autonomous Systems: robots working for and among us., Bristol, England

Autonomous flight within a forest canopy represents a key challenge for generalised scene understanding on-board a future Unmanned Aerial Vehicle (UAV) platform. Here we present an approach for automatic trail navigation within such an environment th... Read More about An Optimised Deep Neural Network Approach for Forest Trail Navigation for UAV Operation within the Forest Canopy.

Exploiting Variance Information in Monte-Carlo Tree Search (2017)
Presentation / Conference Contribution
Lieck, R., Ngo, V., & Toussaint, M. (2017, December). Exploiting Variance Information in Monte-Carlo Tree Search. Presented at ICAPS Workshop on Heuristics and Search for Domain-independent Planning

Active Tree Search (2017)
Presentation / Conference Contribution
Lieck, R., & Toussaint, M. (2017, December). Active Tree Search. Presented at ICAPS Workshop on Planning, Search, and Optimization

Detect face in the wild using CNN cascade with feature aggregation at multi-resolution (2017)
Presentation / Conference Contribution
Deng, J., & Xie, X. (2017, December). Detect face in the wild using CNN cascade with feature aggregation at multi-resolution. Presented at 2017 IEEE International Conference on Image Processing (ICIP) IEEE

Learning feature extractors for AMD classification in OCT using convolutional neural networks (2017)
Presentation / Conference Contribution
Ravenscroft, D., Deng, J., Xie, X., Terry, L., Margrain, T. H., North, R. V., & Wood, A. (2017, December). Learning feature extractors for AMD classification in OCT using convolutional neural networks. Presented at 2017 25th European Signal Processing Conference (EUSIPCO) IEEE

Nested shallow cnn-cascade for face detection in the wild (2017)
Presentation / Conference Contribution
Deng, J., & Xie, X. (2017, December). Nested shallow cnn-cascade for face detection in the wild. Presented at 2017 12th IEEE International Conference on Automatic Face \& Gesture Recognition (FG 2017) IEEE

Unsupervised Extraction of Training Data for Pre-Modern Chinese OCR (2017)
Presentation / Conference Contribution
(2017, December). Unsupervised Extraction of Training Data for Pre-Modern Chinese OCR. Presented at Thirtieth International Florida Artificial Intelligence Research Society Conference, Florida

Amd classification in choroidal oct using hierarchical texton mining (2017)
Presentation / Conference Contribution
Ravenscroft, D., Deng, J., Xie, X., Terry, L., Margrain, T. H., North, R. V., & Wood, A. (2017, December). Amd classification in choroidal oct using hierarchical texton mining. Presented at International Conference on Advanced Concepts for Intelligent Vision Systems Springer

Feature Discovery for Sequential Prediction of Monophonic Music (2017)
Presentation / Conference Contribution
Langhabel, J., Lieck, R., Toussaint, M., & Rohrmeier, M. (2017, December). Feature Discovery for Sequential Prediction of Monophonic Music. Presented at Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China