Recent Journal Articles
Correlation-aware Adversarial Domain Adaptation and Generalization,
M. Rahman, C. Fookes, and S. Sridharan, Pattern Recognition, 2020 (in print).
Joint Identification-Verification for Person Re-Identification: A Four Stream Deep Learning Approach with Improved Quartet Loss Function,
A. Khatun, S. Denman, S. Sridharan, C. Fookes, Computer Vision and Image Understanding, 2020 (in print).
Hierarchical Attention Network for Action Segmentation,
H. Gammulle, S. Denman, S. Sridharan, and C. Fookes, Pattern Recognition Letters, vol: 131, 442-448, 2020.
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection,
T. Fernando, S. Sridharan, M. McLaren, D. Priyasad, S. Denman, and C. Fookes IEEE Trans. on Audio, Speech, and Language Processing, 2020 (in print)
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach,
C. Park, P. Moghadam, S. Kim, C. Fookes, and S. Sridharan, IEEE Robotics and Automation Letters, 2020, (in print).
Deep Inverse Reinforcement Learning for Autonomous Driving,
T. Fernando, S. Denman, S. Sridharan, and C. Fookes, Signal Processing Magazine, 2020 (in print)
LSTM Guided Ensemble Correlation Filter Tracking with Appearance Model Pool,
M. Jain, A.V. Subramanyam, S. Denman, S. Sridharan, and C. Fookes, Computer Vision and Image Understanding, 2020 (in print).
Identification of children at risk of schizophrenia via deep learning and EEG responses,
D. Ahmedt-Aristizabal, T. Fernando, S. Denman, J. Edward, S. Sridharan, P. Johnston, K. Laurens, and C. Fookes, IEEE Journal of Biomedical and Health Informatics, pp. 1-7, 2020.
Neural memory plasticity for medical anomaly detection,
T. Fernando, S. Denman, D. Ahmedt-Aristizabal, S. Sridharan, K.Laurens, P. Johnston C. Fookes, Neural Networks, vol. 127, pp. 67-81, 2020.
Target-Specific Siamese Attention Network for Real-time Object Tracking,
K. Thanikasalam, C. Fookes, S. Sridharan, A. Ramanan and A. Pinidiyaarachchi, IEEE Trans. on Information, Forensics and Security, vol. 15, pp. 1276-1289, 2020.
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis,
T. Fernando, S. Denman, S. Sridharan and C. Fookes, IEEE Transactions on Knowledge and Data Engineering, 2019.
Sparse over-complete patch matching,
A. Pemasiri, K Nguyen Thanh, S. Sridharan , Pattern Recognition Letters, vol. 122, 1 pp. 1 – 6 , 2019.
Component-based Attention for Large-scale Trademark Retrieval,
O. Tursun, S. Denman, S. Sivapalan, S. Sridharan, C. Fookes and S. Mau, IEEE Transactions on Information Forensics and Security, 2019.
Heart Sound Segmentation using Bidirectional LSTMs with Attention,
T. Fernando, H. Ghaemmaghami, S. Denman, S. Sridharan, N. Hussain and C. Fookes, IEEE Journal of Biomedical and Health Informatics, 2019.
Study on pairwise LDA for x-vector-based speaker recognition,
A. Kanagasundaram, S. Sridharan, S. Ganapathy, and C.Fookes,
Electronics Letters, vol. 55-14 , pp. 813-816, 2019.
Fine-grained Action Segmentation using the Semi-Supervised Action GAN,
H. Gammulle, S. Denman, S. Sridharan, and C. Fookes,
Pattern Recognition, vol. 98, 2019.
Scene Invariant Virtual Gates using DCNNs,
S. Denman, C. Fookes, P.K.D.V. Yarlagadda, and S. Sridharan,
IEEE Transactions for Circuits and Systems, 2019, in press.
Understanding Patients’ Behavior: Vision-based Analysis of Seizure Disorders,
D. Ahmedt-Aristizabal, C. Fookes, S. Denman, K. Nguyen, S. Sridharan, and S. Dionisio,
IEEE Journal of Biomedical and Health Informatics, 2019, in press.
Robust Photogeometric Localization over Time for Map-Centric Loop Closure,
C. Park, S. Kim, P. Moghadam, J. Guo, S. Sridharan, and C. Fookes,
IEEE Robotics and Automation Letters, vol. 4, no. 2, pp. 1768 ‑ 1775, 2019.
Aberrant epileptic seizure identification: A computer vision perspective,
D. Ahmedt-Aristizabal, C. Fookes, S. Denman, N. Kien, S. Sridharan, and and S. Dionisio,
Seizure – European Journal of Epilepsy, vol. 65, pp. 65 ‑ 71, 2019.
Multimodal clothing recognition for semantic search in unconstrained surveillance imagery,
M. Halstead, S. Denman, S. Sridharan, Y. Tian, and C. Fookes,
Journal of Visual Communication and Image Representation, vol. 58, pp. 439 ‑ 452, 2019.
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection,
T. Fernando, S. Denman, S. Sridharan, and C. Fookes,
Neural Networks, vol. 108, pp. 466 ‑ 478, 2018.
Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition,
D. Nguyen, K. Nguyen, S. Sridharan, D. Dean, and C. Fookes,
Computer Vision and Image Understanding, vol. 174, pp. 33 ‑ 42, 2018.
Tree Memory Networks for Modelling Long-term Temporal Dependencies,
T. Fernando, S. Denman, A. McFadyen, S. Sridharan, and C. Fookes,
Neurocomputing, vol. 304, pp. 64 ‑ 81, 2018.
Super-resolution for biometrics: a comprehensive survey,
K. Nguyen, C. Fookes, S. Sridharan, M. Tisstarelli, and M. Nixon,
Pattern Recognition, vol. 78, pp. 23 ‑ 42, 2018.
Deep facial analysis: A new phase in epilepsy evaluation using computer vision,
D. Ahmedt-Aristizabal, C. Fookes, K. Nguyen, S. Denman, S. Sridharan, and S. Dionisio,
Epilepsy & Behaviour, vol. 82, pp. 17 ‑ 24, 2018.
Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics,
L. Sha, P. Lucey, Y. Yue, X. Wei, J. Hobbs, C. Rohlf, and S. Sridharan,
ACM Transactions on Computer-Human Interaction, vol. 25, no. 2, 2018.
Improving PLDA speaker verification performance using domain mismatch compensation techniques,
M.H. Rahman, A. Kanagasundaram, I. Himawan, D. Dean, and S. Sridharan,
Computer Speech and Language, vol. 47, pp. 240 ‑ 258, 2018.
Iris Recognition with Off-the-Shelf CNN Features: a Deep Learning Perspective,
K. Nguyen, C. Fookes, A. Ross, and S. Sridharan,
IEEE Access, vol. 6, pp. 18848 ‑ 18855, 2018.
Long Range Iris Recognition: A Survey,
K. Nguyen, C. Fookes, R. Jillela, S. Sridharan, and A. Ross,
Pattern Recognition, vol. 72, pp. 123 ‑ 143, 2017.
Automated analysis of seizure semiology and brain electrical activity in presurgery evaluation of epilepsy: A focused survey,
D. Ahmedt-Aristizabal, C. Fookes, S. Dionisio, K. Nguyen, J. P. S. Cunha, and S. Sridharan,
Epilepsia, vol. 58, no. 11, pp. 1817 ‑ 1831, 2017.
Cross database audio visual speech adaptation for phonetic spoken term detection,
S. Kalantari, D. Dean, and S. Sridharan,
Computer Speech and Language, vol. 44, pp. 1 ‑ 21, 2017.
Fine-grained action recognition of boxing punches from depth imagery,
S. Kasiri, C. Fookes, S. Sridharan, and S. Morgan,
Computer Vision and Image Understanding, vol. 159, pp. 143 ‑ 153, 2017.
Recent Conference Papers
Coupled Generative Adversarial Network for Continuous Fine-grained Action Segmentation,
H. Gammulle, T. Fernando, S. Denman, S. Sridharan, and C. Fookes,
in Proc., 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, pp. 200 ‑ 209.
Multi-component Image Translation for Deep Domain Generalization,
M. Rahman, C.Fookes, M. Baktashmotlagh, and S. Sridharan,
in Proc., 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, pp. 579 ‑ 588.
Semantic Correspondence in the Wild,
A. Pemasiri, K. Nguyen Thanh, S. Sridharan, and C. Fookes,
in Proc., 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, pp. 1137 ‑ 1146.
Investigating deep neural networks for speaker diarization in the DIHARD challenge,
I. Himawan, H. Rahman, S. Sridharan, C. Fookes, and A. Kanagasundaram,
in Proc., IEEE Workshop on Spoken Language Technology (SLT), 2018.
Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction,
S. Elanattil, P. Moghadam, S. Denman, S. Sridharan, and C. Fookes,
in Proc., 2018 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2018.
GD- GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds,
T. Fernando, S. Denman, S. Sridharan, and C. Fookes,
in Proc., 14th Asian Conference on Computer Vision (ACCV), 2018, pp. 314 ‑ 330.
Multi-Level Sequence GAN for Group Activity Recognition,
H. Gammulle, S. Denman, S. Sridharan, and C. Fookes,
in Proc., 14th Asian Conference on Computer Vision (ACCV), 2018, pp. 331 ‑ 346.
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction,
J. Pontes, C. Kong, S. Sridharan, S. Lucey, A. Eriksson, and C. Fookes,
in Proc., 14th Asian Conference on Computer Vision (ACCV), 2018, pp. 365 ‑ 381.
Rethinking Planar Homography Estimation Using Perspective Fields,
R. Zeng, S. Denman, S. Sridharan, and C. Fookes,
in Proc., 14th Asian Conference on Computer Vision (ACCV), 2018, pp. 571 ‑ 586.
Hierarchical Relational Attention for Video Question Answering,
M.I.H. Chowdhury, K. Nguyen, S. Sridharan, and C. Fookes,
in Proc., 2018 IEEE International Conference on Image Processing (ICIP), 2018, pp. 599 ‑ 603.
Deep match tracker: Classifying when dissimilar, similarity matching when not,
K. Thanikasalam, C. Fookes, S. Sridharan, R. Amirthalingam, and U.A.J. Pinidiyaarachchi,
in Proc., 2018 IEEE International Conference on Image Processing (ICIP), 2018, pp. 2730 ‑ 2734.
Pedestrian Trajectory Prediction with Structured Memory Hierarchies,
T. Fernando, S. Denman, S. Sridharan, and C. Fookes,
in Proc., European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2018, pp. 241 ‑ 256.
Employing phonetic information in DNN speaker embeddings to improve speaker recognition performance,
M.H. Rahman, I. Himawan, M. McLaren, C. Fookes, and S. Sridharan,
in Proc., 19th Annual Conference of the International Speech Communication Association (Interspeech), 2018, pp. 3593 ‑ 3597.
Non-rigid Reconstruction with a Single Moving RGB-D Camera,
S. Elanattil, P. Moghadam, S. Denman, S. Sridharan, and C. Fookes,
in Proc., 2018 International Conference on Pattern Recognition (ICPR), 2018, pp. 1049 ‑ 1055.
Meta transfer learning for facial emotion recognition,
D. Nguyen, K. Nguyen, S. Sridharan, I. Abbasnejad, D. Dean, and C. Fookes,
in Proc., 2018 International Conference on Pattern Recognition (ICPR), 2018, pp. 3543 ‑ 3548.
Deep Classification of Epileptic Signals,
D. Ahmedt-Aristizaba, C. Fookes, K. Nguyen, and S. Sridharan,
in Proc., 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 332 ‑ 335.
On Minimum Discrepancy Estimation for Deep Domain Adaptation,
M. Rahman, C. Fookes, M. Baktashmotlagh, and S. Sridharan,
in Proc., Workshop on Domain Adaptation for Visual Understanding (DAVU), 2018.
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning,
T. Fernando, S. Denman, S. Sridharan, and C. Fookes,
in Proc., International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018, pp. 113 ‑ 121.
Domain-invariant I-vector feature extraction for PLDA speaker verification,
M.H. Rahman, I. Himawan, D. Dean, C. Fookes, and S. Sridharan,
in Proc., Odyssey 2018: The Speaker and Language Recognition Workshop (Odyssey), 2018, pp. 155 ‑ 161.
Deep decision trees for discriminative dictionary learning with adversarial multi-agent trajectories,
T. Fernando, S. Sridharan, C. Fookes, and S. Denman,
in Proc., CVPR 2018: Workshop on Computer Vision in Sports (CVPR-W), 2018, pp. 1722 ‑ 1731.
Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM,
C. Park, P. Moghadam, S. Kim, A. Elfes, C. Fookes, and S. Sridharan,
in Proc., 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018, pp. 1206 ‑ 1213.
Calibrating cameras in poor-conditioned pitch-based sports games,
R. Zeng, R. Lakemond, S. Denman, S. Sridharan, C. Fookes, and S. Morgan,
in Proc., 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, pp. 1902 ‑ 1906.
Tracking by Prediction: A Deep Generative Model for Multi-Person localisation and Tracking,
T. Fernando, S. Denman, S. Sridharan, and C. Fookes,
in Proc., 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, pp. 1122 ‑ 1132.
A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-detection,
A. Khatun, S. Sridharan, C. Fookes, and S. Denman,
in Proc., 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, pp. 1292 ‑ 1301.
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks,
T. Fernando, S. Denman, S. Sridharan, and C. Fookes,
in Proc., 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, pp. 1539 ‑ 1548.
Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Network,
I. Abbasnejad, S. Sridharan, N. Tien, S. Denman, C. Fookes, and S. Lucey,
in Proc., International Conference on Computer Vision Workshops (ICCV-W), 2017, pp. 1609 ‑ 1618.
Probabilistic Surfel Fusion for Dense LiDAR Mapping,
C. Park, P. Moghadam, S. Kim, C. Fookes, and S. Sridharan,
in Proc., International Conference on Computer Vision Workshops (ICCV-W), 2017, pp. 2418 ‑ 2426.
Going Deeper: Autonomous Steering with Neural Memory Networks,
T. Fernando, S. Denman, S. Sridharan, and C. Fookes,
in Proc., International Conference on Computer Vision Workshops (ICCV-W), 2017, pp. 214 ‑ 221.
Compact Model Representation for 3D Reconstruction,
J. K. Pontes, C. Kong, A. Eriksson, C. Fookes, S. Sridharan, and S. Lucey,
in Proc., 2017 International Conference on 3D Vision (3DV), 2017, pp. 88 ‑ 96.
Deep Feature-based Expression-Invariant Tied Factor Analysis for Emotion Recognition,
S. Munasinghe, C. Fookes, and S. Sridharan,
in Proc., International Joint Conference on Biometrics (IJCB), 2017, pp. 546 ‑ 554.
Facial analysis in the wild with LSTM networks,
S. Kankanamge, C. Fookes, and S. Sridharan,
in Proc., 2017 IEEE International Conference on Image Processing (ICIP), 2017, pp. 1052 ‑ 1056.
Deep Discovery of Facial Motions using a Shallow Embedding Layer,
A. Ghasemi, M. Baktashmotlagh, S. Denman, S. Sridharan, D. Tien, and C. Fookes,
in Proc., 2017 IEEE International Conference on Image Processing (ICIP), 2017, pp. 1567 ‑ 1571.
A Cascaded Long Short-Term Memory Driven Generic Visual Question Answering,
M.I.H. Chowdhury, K. Nguyen, C. Fookes, and S. Sridharan,
in Proc., 2017 IEEE International Conference on Image Processing (ICIP), 2017, pp. 1842 ‑ 1846.
Domain mismatch modeling of out-domain i-vectors for PLDA speaker verification,
M.H. Rahman, I. Himawan, D. Dean, and S. Sridharan,
in Proc., 18th Annual Conference of the International Speech Communication Association (Interspeech), 2017, pp. 1581 ‑ 1585.
Fast, Dense Feature SDM on an iPhone,
A. Fagg, S. Lucey, and S. Sridharan,
in Proc., 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2017, pp. 95 ‑ 102.
Deep Context Modeling for Semantic Segmentation,
K. Nguyen Thanh, C. Fookes, and S. Sridharan,
in Proc., IEEE Winter Conference on Applications of Computer Vision (WACV), 2017, pp. 56 ‑ 63.
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition,
H. Gammulle, S. Denman, S. Sridharan, and C. Fookes,
in Proc., IEEE Winter Conference on Applications of Computer Vision (WACV), 2017, pp. 177 ‑ 186.
From Affine Rank Minimization Solution to Sparse Modeling,
I. Abbasnejad, S. Sridharan, S. Denman, C. Fookes, and S. Lucey,
in Proc., IEEE Winter Conference on Applications of Computer Vision (WACV), 2017, pp. 501 ‑ 509.
Deep spatio-temporal features for multimodal emotion recognition,
D. Nguyen, K. Nguyen Thanh, S. Sridharan, A. Ghasemi, D. Dean, and C. Fookes,
in Proc., IEEE Winter Conference on Applications of Computer Vision (WACV), 2017, pp. 1215 ‑ 1223.