Multimodal Segmentation with MGF-Net and the Focal Tversky Loss Function.
Abraham, N., & Khan, N. M.
In
International MICCAI Brainlesion Workshop, pages 191–198, 2019. Springer, Cham
link
bibtex
@inproceedings{abraham2019multimodal,
title={Multimodal Segmentation with MGF-Net and the Focal Tversky Loss Function},
author={Abraham, Nabila and Khan, Naimul Mefraz},
booktitle={International MICCAI Brainlesion Workshop},
pages={191--198},
year={2019},
organization={Springer, Cham}
}
Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition.
Liu, K., Gao, L., Khan, N. M., Qi, L., & Guan, L.
In
2019 IEEE International Symposium on Multimedia (ISM), pages 25–256, 2019. IEEE
link
bibtex
@inproceedings{liu2019graph,
title={Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition},
author={Liu, Kai and Gao, Lei and Khan, Naimul Mefraz and Qi, Lin and Guan, Ling},
booktitle={2019 IEEE International Symposium on Multimedia (ISM)},
pages={25--256},
year={2019},
organization={IEEE}
}
Deep Learning for Semantic Segmentation of Brachial Plexus Nervesin Ultrasound Images Using U-Net and M-Net.
Abraham, N., Illanko, K., Khan, N., & Androutsos, D.
In
2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC), pages 85–89, 2019. IEEE
link
bibtex
@inproceedings{abraham2019deep,
title={Deep Learning for Semantic Segmentation of Brachial Plexus Nervesin Ultrasound Images Using U-Net and M-Net},
author={Abraham, Nabila and Illanko, Kandasamy and Khan, Naimul and Androutsos, Dimitri},
booktitle={2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC)},
pages={85--89},
year={2019},
organization={IEEE}
}
Multidomain Multimodal Fusion for Human Action Recognition Using Inertial Sensors.
Ahmad, Z., & Khan, N. M.
In
2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), pages 429–434, 2019. IEEE
link
bibtex
@inproceedings{ahmad2019multidomain,
title={Multidomain Multimodal Fusion for Human Action Recognition Using Inertial Sensors},
author={Ahmad, Zeeshan and Khan, Naimul Mefraz},
booktitle={2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM)},
pages={429--434},
year={2019},
organization={IEEE}
}
Novel Segmentation Metrics for Use in Augmented Reality Advertisement Integration.
True, J., & Khan, N.
In
2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), pages 411–415, 2019. IEEE
link
bibtex
@inproceedings{true2019novel,
title={Novel Segmentation Metrics for Use in Augmented Reality Advertisement Integration},
author={True, Julian and Khan, Naimul},
booktitle={2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM)},
pages={411--415},
year={2019},
organization={IEEE}
}
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors.
Ahmad, Z., & Khan, N.
IEEE Sensors Journal. 2019.
link
bibtex
@article{ahmad2019human,
title={Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors},
author={Ahmad, Zeeshan and Khan, Naimul},
journal={IEEE Sensors Journal},
year={2019},
publisher={IEEE}
}
Human Action Recognition Using Convolutional Neural Network and Depth Sensor Data.
Ahmad, Z., Illanko, K., Khan, N., & Androutsos, D.
In
Proceedings of the 2019 International Conference on Information Technology and Computer Communications, of
ITCC 2019, pages 1–5, New York, NY, USA, 2019. ACM
Paper
doi
link
bibtex
1 download
@inproceedings{Ahmad:2019:HAR:3355402.3355419,
author = {Ahmad, Zeeshan and Illanko, Kandasamy and Khan, Naimul and Androutsos, Dimitri},
title = {Human Action Recognition Using Convolutional Neural Network and Depth Sensor Data},
booktitle = {Proceedings of the 2019 International Conference on Information Technology and Computer Communications},
series = {ITCC 2019},
year = {2019},
isbn = {978-1-4503-7228-2},
location = {Singapore, Singapore},
pages = {1--5},
numpages = {5},
url = {http://doi.acm.org/10.1145/3355402.3355419},
doi = {10.1145/3355402.3355419},
acmid = {3355419},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {Convolutional neural network, Depth sensors, human action recognition},
}
Discriminative Feature Selection Guided Deep Canonical Correlation Analysis.
El Madany, N. E. D., He, Y., & Guan, L.
In
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3487–3491, 2019. IEEE
link
bibtex
@inproceedings{el2019discriminative,
title={Discriminative Feature Selection Guided Deep Canonical Correlation Analysis},
author={El Madany, Nour El Din and He, Yifeng and Guan, Ling},
booktitle={ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={3487--3491},
year={2019},
organization={IEEE}
}
A Novel Weighted Hybrid Multi-View Fusion Algorithm for Semi-Supervised Classification.
Wang, S., Guo, X., Tie, Y., Qi, L., & Guan, L.
In
2019 IEEE International Symposium on Circuits and Systems (ISCAS), pages 1–5, 2019. IEEE
link
bibtex
@inproceedings{wang2019novel,
title={A Novel Weighted Hybrid Multi-View Fusion Algorithm for Semi-Supervised Classification},
author={Wang, Song and Guo, Xin and Tie, Yun and Qi, Lin and Guan, Ling},
booktitle={2019 IEEE International Symposium on Circuits and Systems (ISCAS)},
pages={1--5},
year={2019},
organization={IEEE}
}
A Novel Key-point Detector based on Sparse Coding.
Hong-Phuoc, T., & Guan, L.
IEEE Transactions on Image Processing. 2019.
link
bibtex
@article{hong2019novel,
title={A Novel Key-point Detector based on Sparse Coding},
author={Hong-Phuoc, Thanh and Guan, Ling},
journal={IEEE Transactions on Image Processing},
year={2019},
publisher={IEEE}
}
Safely Caching HOG Pyramid Feature Levels, to Speed up Facial Landmark Detection.
Higgins, G., Guan, L., Quddus, A., & Zandi, A. S.
In
International Conference on Image Analysis and Recognition, pages 357–363, 2019. Springer
link
bibtex
@inproceedings{higgins2019safely,
title={Safely Caching HOG Pyramid Feature Levels, to Speed up Facial Landmark Detection},
author={Higgins, Gareth and Guan, Ling and Quddus, Azhar and Zandi, Ali Shahidi},
booktitle={International Conference on Image Analysis and Recognition},
pages={357--363},
year={2019},
organization={Springer}
}
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems.
Zafar, M. R., & Khan, N. M.
arXiv preprint arXiv:1906.10263. 2019.
link
bibtex
@article{zafar2019dlime,
title={DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems},
author={Zafar, Muhammad Rehman and Khan, Naimul Mefraz},
journal={arXiv preprint arXiv:1906.10263},
year={2019}
}
A Scene-Based Augmented Reality Framework for Exhibits.
Li-Chee-Ming, J., Wu, Z., Tan, R., Tan, R., Khan, N. M., Ye, A., & Guan, L.
In
International Conference on Image Analysis and Recognition, pages 287–296, 2019. Springer
link
bibtex
@inproceedings{li2019scene,
title={A Scene-Based Augmented Reality Framework for Exhibits},
author={Li-Chee-Ming, Julien and Wu, Zheng and Tan, Randy and Tan, Ryan and Khan, Naimul Mefraz and Ye, Andy and Guan, Ling},
booktitle={International Conference on Image Analysis and Recognition},
pages={287--296},
year={2019},
organization={Springer}
}
Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer’s Disease.
Khan, N. M., Abraham, N., & Hon, M.
IEEE Access, 7: 72726–72735. 2019.
link
bibtex
@article{khan2019transfer,
title={Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer’s Disease},
author={Khan, Naimul Mefraz and Abraham, Nabila and Hon, Marcia},
journal={IEEE Access},
volume={7},
pages={72726--72735},
year={2019},
publisher={IEEE}
}
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond.
Khan, N. M., Abraham, N., Hon, M., & Guan, L.
In
2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), pages 85–90, 2019. IEEE
link
bibtex
@inproceedings{khan2019machine,
title={Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond},
author={Khan, Naimul Mefraz and Abraham, Nabila and Hon, Marcia and Guan, Ling},
booktitle={2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)},
pages={85--90},
year={2019},
organization={IEEE}
}