Antonio Robles-Kelly

Prof Antonio Robles-Kelly

School of Computer Science and Information Technology

College of Engineering and Information Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Prior to becoming an Adjunct Professor at Adelaide University, Prof. Robles-Kelly held a Professorial Chair in AI and Machine Learning at Deakin, where he also served as the Associate Head (Research) of the School of Information Technology. Previously, he held Senior Researcher positions at CSIRO's Data61 and the NICTA Canberra Lab at the ANU. He has been a Visiting Scientist at CSIRO Astronomy and Space, a Postdoctoral Fellow of the Australian Research Council and an adjunct academic at both the Australian National University and UNSW@ADFA. He is an associate editor of the Pattern Recognition Journal and IET Computer Vision and a Senior Member of the IEEE. He has been a technical and program committee member of several mainstream computer vision and pattern recognition conferences. 

His research interests are in the areas of pattern recognition, machine learning, computer vision and artificial intelligence.  

Year Citation
2025 Williams, J., & Robles-Kelly, A. (2025). Spectral Contrastive Clustering. Pattern Recognition, 166, 111671.
DOI Scopus6
2025 González-Sabbagh, S., Robles-Kelly, A., & Gao, S. (2025). Scene-cGAN: A GAN for underwater restoration and scene depth estimation. Computer Vision and Image Understanding, 250, 104225.
DOI Scopus10
2025 Noor, K. T., Luo, W., Robles-Kelly, A., Zhang, L. Y., & Bouadjenek, M. R. (2025). Taxonomy-guided routing in capsule network for hierarchical image classification. Knowledge Based Systems, 329, 114444.
DOI Scopus3
2024 Edirimuni, D. D. S., Lu, X., Li, G., & Robles-Kelly, A. (2024). Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering. IEEE Transactions on Visualization and Computer Graphics, 30(8), 4527-4541.
DOI Scopus17 WoS16 Europe PMC10
2024 Noor, K. T., & Robles-Kelly, A. (2024). H-CapsNet: A capsule network for hierarchical image classification. Pattern Recognition, 147, 110135.
DOI Scopus22
2024 Gonzalez-Sabbagh, S., Robles-Kelly, A., & Gao, S. (2024). DGD-cGAN: A dual generator for image dewatering and restoration. Pattern Recognition, 148, 110159.
DOI Scopus34
2024 Mashrur, A., Luo, W., Zaidi, N. A., & Robles-Kelly, A. (2024). Robust visual question answering via semantic cross modal augmentation. Computer Vision and Image Understanding, 238, 103862.
DOI Scopus12
2024 Noor, K. T., Robles-Kelly, A., Zhang, L. Y., Bouadjenek, M. R., & Luo, W. (2024). A consistency-aware deep capsule network for hierarchical multi-label image classification. Neurocomputing, 604, 128376.
DOI Scopus10
2023 Gupta, S., Bouadjenek, M. R., & Robles-Kelly, A. (2023). PERCY: A post-hoc explanation-based score for logic rule dissemination consistency assessment in sentiment classification. Knowledge Based Systems, 275, 110685.
DOI Scopus6
2023 González-Sabbagh, S. P., & Robles-Kelly, A. (2023). A Survey on Underwater Computer Vision. ACM Computing Surveys, 55(13s), 1-39.
DOI Scopus121
2023 Ahmad, A., Luo, W., & Robles-Kelly, A. (2023). Robust federated learning under statistical heterogeneity via Hessian spectral decomposition. Pattern Recognition, 141, 109635.
DOI Scopus16
2023 Ahmad, A., Luo, W., & Robles-Kelly, A. (2023). Robust federated learning under statistical heterogeneity via hessian-weighted aggregation. Machine Learning, 112(2), 633-654.
DOI Scopus23
2023 Khan, T. M., Naqvi, S. S., Robles-Kelly, A., & Razzak, I. (2023). Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning. Neural Networks, 165, 310-320.
DOI Scopus37 Europe PMC14
2023 Ansarizadeh, F., Tay, D. B., Thiruvady, D., & Robles-kelly, A. (2023). Deterministic sampling in heterogeneous graph neural networks. Pattern Recognition Letters, 172, 74-81.
DOI Scopus7
2023 Agrahari Baniya, A., Lee, T. K., Eklund, P. W., Aryal, S., & Robles-Kelly, A. (2023). Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model. Neurocomputing, 546, 126355.
DOI Scopus10
2023 Yi, Y., Lu, X., Gao, S., Robles-Kelly, A., & Zhang, Y. (2023). Graph classification via discriminative edge feature learning. Pattern Recognition, 143, 109799.
DOI Scopus13
2021 Zhu, H., Guo, M., Li, H., Wang, Q., & Robles-Kelly, A. (2021). Revisiting Spatio-Angular Trade-off in Light Field Cameras and Extended Applications in Super-Resolution. IEEE Transactions on Visualization and Computer Graphics, 27(6), 3019-3033.
DOI Scopus42 WoS39 Europe PMC10
2021 Ge, M., Syed, N. F., Fu, X., Baig, Z., & Robles-Kelly, A. (2021). Towards a deep learning-driven intrusion detection approach for Internet of Things. Computer Networks, 186, 107784.
DOI Scopus202
2020 Zhu, H., Sun, X., Zhang, Q., Wang, Q., Robles-Kelly, A., Li, H., & You, S. (2020). Full View Optical Flow Estimation Leveraged From Light Field Superpixel. IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 6, 12-23.
DOI WoS12
2020 Khan, T. M., & Robles-Kelly, A. (2020). Machine Learning: Quantum vs Classical. IEEE Access, 8, 219275-219294.
DOI Scopus203 WoS128
2020 Mashrur, A., Luo, W., Zaidi, N. A., & Robles-Kelly, A. (2020). Machine learning for financial risk management: A survey. IEEE Access, 8, 203203-203223.
DOI Scopus176 WoS87
2018 Mutimbu, L., & Robles-Kelly, A. (2018). A factor graph evidence combining approach to image defogging. Pattern Recognition, 82, 56-67.
DOI Scopus9 WoS9
2018 Bai, X., Zhou, J., & Robles-Kelly, A. (2018). Pattern recognition for high performance imaging. Pattern Recognition, 82, 38-39.
DOI Scopus7 WoS7
2018 Bai, X., Hancock, E. R., Ho, T. K., Wilson, R. C., Biggio, B., & Robles-Kelly, A. (2018). Preface. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 11004 LNCS, v.
2017 Rahman, S., & Robles-Kelly, A. (2017). Estimating Reflectance Parameters, Light Direction, and Shape From a Single Multispectral Image. IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 3(4), 837-852.
DOI WoS2
2016 Mutimbu, L., & Robles-Kelly, A. (2016). Multiple Illuminant Color Estimation via Statistical Inference on Factor Graphs. IEEE Transactions on Image Processing, 25(11), 5383-5396.
DOI Scopus15 WoS15 Europe PMC3
2016 Robles-Kelly, A., Loog, M., Biggio, B., Escolano, F., & Wilson, R. (2016). Preface. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 10029 LNCS, V.
2015 Sohaib, A., & Robles-Kelly, A. (2015). Exposure time calculation for spectral cameras. Journal of Electronic Imaging, 24(5), 053025.
DOI Scopus2
2014 Gu, L., & Robles-Kelly, A. (2014). Shadow modelling based upon Rayleigh scattering and Mie theory. Pattern Recognition Letters, 43(1), 89-97.
DOI Scopus10 WoS7
2014 Gu, L., Huynh, C. P., & Robles-Kelly, A. (2014). Segmentation and estimation of spatially varying illumination. IEEE Transactions on Image Processing, 23(8), 3478-3489.
DOI Scopus20 WoS15 Europe PMC3
2013 Sohaib, A., Habili, N., & Robles-Kelly, A. (2013). Automatic exposure control for multispectral cameras. 2013 IEEE International Conference on Image Processing Icip 2013 Proceedings, 2043-2047.
DOI Scopus3 WoS2
2013 Robles-Kelly, A., & Simpson-Young, B. (2013). Imaging spectroscopy for scene analysis: Challenges and opportunities. Iet Computer Vision, 7(6), 467-477.
DOI Scopus5 WoS4
2013 Gu, L., Robles-Kelly, A. A., & Zhou, J. (2013). Efficient estimation of reflectance parameters from imaging spectroscopy. IEEE Transactions on Image Processing, 22(9), 3648-3663.
DOI Scopus20 WoS15 Europe PMC4
2013 Huynh, C. P., Robles-Kelly, A., & Hancock, E. R. (2013). Shape and refractive index from single-view spectro-polarimetric images. International Journal of Computer Vision, 101(1), 64-94.
DOI Scopus50 WoS43
2013 Rahman, S., & Robles-Kelly, A. (2013). An optimisation approach to the recovery of reflection parameters from a single hyperspectral image. Computer Vision and Image Understanding, 117(12), 1672-1688.
DOI Scopus3 WoS4
2012 Prakash, S., & Robles-Kelly, A. (2012). Geometric graph comparison from an alignment viewpoint. Pattern Recognition, 45(10), 3780-3794.
DOI Scopus1 WoS1
2011 Qian, Y., Jia, S., Zhou, J., & Robles-Kelly, A. (2011). Hyperspectral unmixing via L1/2 sparsity-constrained nonnegative matrix factorization. IEEE Transactions on Geoscience and Remote Sensing, 49(11 PART 1), 4282-4297.
DOI Scopus595 WoS523
2011 Fu, Z., Robles-Kelly, A., & Zhou, J. (2011). MILIS: Multiple instance learning with instance selection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(5), 958-977.
DOI Scopus172 WoS135 Europe PMC19
2011 Fu, Z., & Robles-Kelly, A. (2011). Discriminant absorption-feature learning for material classification. IEEE Transactions on Geoscience and Remote Sensing, 49(5), 1536-1556.
DOI Scopus19 WoS18
2011 Zhou, J., Fu, Z., & Robles-Kelly, A. (2011). Structured learning approach to image descriptor combination. Iet Computer Vision, 5(2), 134-142.
DOI Scopus3 WoS2
2011 Zhao, H., Robles-Kelly, A., Zhou, J., Lu, J., & Yang, J. Y. (2011). Graph attribute embedding via Riemannian submersion learning. Computer Vision and Image Understanding, 115(7), 962-975.
DOI Scopus14 WoS14
2010 Huynh, C. P., & Robles-Kelly, A. (2010). A solution of the dichromatic model for multispectral photometric invariance. International Journal of Computer Vision, 90(1), 1-27.
DOI Scopus44 WoS40
2010 Prakash, S., & Robles-Kelly, A. (2010). A semi-supervised approach to space carving. Pattern Recognition, 43(2), 506-518.
DOI Scopus12 WoS5
2010 Fu, Z., Robles-Kelly, A., & Zhou, J. (2010). Mixing linear SVMs for nonlinear classification. IEEE Transactions on Neural Networks, 21(12), 1963-1975.
DOI Scopus84 WoS57 Europe PMC10
2009 Robles-Kelly, A. (2009). IET Computer Vision: Editorial. Iet Computer Vision, 3(4), 175.
DOI
2008 Robles-Kelly, A. (2008). Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008: Message from the General Chair. Proceedings Digital Image Computing Techniques and Applications Dicta 2008, xiii.
DOI
2008 Fu, Z., & Robles-Kelly, A. (2008). A quadratic programming approach to image labelling. Iet Computer Vision, 2(4), 193-207.
DOI Scopus3 WoS2
2007 Torsello, A., Robles-Kelly, A., & Hancock, E. R. (2007). Discovering shape classes using tree edit-distance and pairwise clustering. International Journal of Computer Vision, 72(3), 259-285.
DOI Scopus38 WoS34
2007 Fu, Z., Robles-Kelly, A., Caelli, T., & Tan, R. T. (2007). On automatic absorption detection for imaging spectroscopy: A comparative study. IEEE Transactions on Geoscience and Remote Sensing, 45(11), 3827-3844.
DOI Scopus25 WoS21
2007 Robles-Kelly, A., & Hancock, E. R. (2007). A Riemannian approach to graph embedding. Pattern Recognition, 40(3), 1042-1056.
DOI Scopus87 WoS74
2007 Robles-Kelly, A., & Hancock, E. R. (2007). Shape-from-shading using the heat equation. IEEE Transactions on Image Processing, 16(1), 7-21.
DOI Scopus15 WoS12 Europe PMC1
2007 Prakash, S., Lee, P., & Robles-Kelly, A. (2007). Stereo techniques for 3d mapping of object surface temperatures. Quantitative Infrared Thermography Journal, 4(1), 63-84.
DOI Scopus15
2005 Robles-Kelly, A., & Hancock, E. R. (2005). A graph-spectral method for surface height recovery. Pattern Recognition, 38(8), 1167-1186.
DOI Scopus9 WoS7
2005 Robles-Kelly, A., & Hancock, E. R. (2005). Estimating the surface radiance function from single images. Graphical Models, 67(6), 518-548.
DOI Scopus15
2005 Robles-Kelly, A., & Hancock, E. R. (2005). Graph edit distance from spectral seriation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(3), 365-378.
DOI Scopus171 WoS135 Europe PMC11
2004 ROBLESKELLY, A. (2004). A probabilistic spectral framework for grouping and segmentation. Pattern Recognition, 37(7), 1387-1405.
DOI
2004 Robles-Kelly, A., & Hancock, E. R. (2004). A graph-spectral approach to shape-from-shading. IEEE Transactions on Image Processing, 13(7), 912-926.
DOI Scopus24 WoS15 Europe PMC4
2004 Robles-Kelly, A., & Hancock, E. R. (2004). Steady State Random Walks for Path Estimation. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 3138, 143-152.
DOI Scopus5 WoS3
2004 Robles-Kelly, A., & Hancock, E. R. (2004). A probabilistic spectral framework for grouping and segmentation. Pattern Recognition, 37(7), 1387-1405.
DOI Scopus22 WoS19
2004 Robles-Kelly, A., & Hancock, E. R. (2004). Radiance function estimation for object classification. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 3287, 67-75.
DOI Scopus4 WoS3
2004 Robles-Kelly, A., & Hancock, E. R. (2004). String edit distance, random walks and graph matching. International Journal of Pattern Recognition and Artificial Intelligence, 18(3), 315-327.
DOI Scopus41
2004 Robles-Kelly, A., & Hancock, E. R. (2004). Spanning tree recovery via random walks in a riemannian manifold. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 3287, 303-311.
DOI Scopus3 WoS3
2003 Robles-Kelly, A., & Hancock, E. R. (2003). Graph matching using spectral seriation. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2683, 517-532.
DOI Scopus5 WoS6
2003 Robles-Kelly, A., & Hancock, E. R. (2003). Graph matching using spectral seriation and string edit distance. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2726, 154-165.
DOI Scopus4 WoS2
2003 Robles-Kelly, A., & Hancock, E. R. (2003). A graph-spectral method for surface height recovery. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2768, 163-181.
DOI
2002 Robles-Kelly, A., & Hancock, E. R. (2002). An expectation-maximisation framework for segmentation and grouping. Image and Vision Computing, 20(9-10), 725-738.
DOI Scopus8 WoS7
2002 Ribeiro, E., Robles-Kelly, A., & Hancock, E. R. (2002). Detecting multiple texture planes using local spectral distortion. Image and Vision Computing, 20(9-10), 739-750.
DOI

Year Citation
2017 Bergamasco, F., Torsello, A., & Robles-Kelly, A. (2017). Spectral dichromatic parameter recovery from two views via total variation hyper-priors. In C. S. Chen, J. Lu, & K. K. Ma (Eds.), Lecture Notes in Computer Science (Vol. 10116 LNCS, pp. 317-333). SPRINGER INTERNATIONAL PUBLISHING AG.
DOI
2016 Robles-Kelly, A. (2016). Least-squares regression with unitary constraints for network behaviour classification. In A. RoblesKelly, M. Loog, B. Biggio, F. Escolano, & R. Wilson (Eds.), Lecture Notes in Computer Science (Vol. 10029 LNCS, pp. 26-36). SPRINGER INTERNATIONAL PUBLISHING AG.
DOI
2015 Shahriari, A., Alvarez, J. M., & Robles-Kelly, A. (2015). Class-driven color transformation for semantic labeling. In D. Cremers, I. Reid, H. Saito, & M. H. Yang (Eds.), Lecture Notes in Computer Science (Vol. 9005, pp. 436-451). SPRINGER-VERLAG BERLIN.
DOI
2015 Rahman, S., Lam, A., Sato, I., & Robles-Kelly, A. (2015). Color photometric stereo using a rainbow light for non-lambertian multicolored surfaces. In D. Cremers, I. Reid, H. Saito, & M. H. Yang (Eds.), Lecture Notes in Computer Science (Vol. 9003, pp. 335-350). SPRINGER-VERLAG BERLIN.
DOI Scopus7 WoS3
2015 Gu, L., & Robles-Kelly, A. (2015). Outdoor shadow modelling and its applications. In Handbook of Pattern Recognition and Computer Vision 5th Edition (pp. 473-490). WORLD SCIENTIFIC.
DOI
2011 Khuwuthyakorn, P., Robles-Kelly, A., & Zhou, J. (2011). Affine Invariant Hyperspectral Image Descriptors Based upon Harmonic Analysis. In R. Hammoud, G. L. Fan, R. W. Mcmillan, & K. Ikeuchi (Eds.), MACHINE VISION BEYOND VISIBLE SPECTRUM (Vol. 1, pp. 179-199). SPRINGER-VERLAG BERLIN.
DOI WoS3

Year Citation
2025 Gonzalez-Sabbagh, S., Robles-Kelly, A., & Gao, S. (2025). DichroGAN: Towards Restoration of in-Air Colours of Seafloor from Satellite Imagery. In Proceedings 2025 International Conference on Digital Image Computing Techniques and Applications Dicta 2025 (pp. 315-322). AUSTRALIA, Adelaide: IEEE COMPUTER SOC.
DOI
2024 Yi, Y., de Silva Edirimuni, D., Zhu, Y., Gao, S., Wang, Z., Robles-Kelly, A., & Lu, X. (2024). Point Cloud Normal Estimation via Representation Learning on Height Maps. In Proceedings of the 6th ACM International Conference on Multimedia in Asia Mmasia 2024 (pp. 1-7). ACM.
DOI Scopus3
2024 Luckett, C., McCarthy, B., Cao, T. T., & Robles-Kelly, A. (2024). The SARFish Dataset and Challenge. In Proceedings 2024 IEEE Winter Conference on Applications of Computer Vision Workshops Wacvw 2024 (pp. 752-761). IEEE.
DOI Scopus8
2024 Gupta, S., Robles-Kelly, A., Bouadjenek, M. R., Nazari, A., & Thiruvady, D. (2024). MARKS-mech: A Mask-based Prior Knowledge Dissemination Mechanism for including Discourse Relations for Sentiment Classification. In Proceedings of the International Joint Conference on Neural Networks (pp. 1-8). IEEE.
DOI
2024 De Silva Edirimuni, D., Lu, X., Li, G., Wei, L., Robles-Kelly, A., & Li, H. (2024). StraightPCF: Straight Point Cloud Filtering. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 20721-20730). IEEE.
DOI Scopus19
2024 Gupta, S., Bouadjenek, M. R., Robles-Kelly, A., Lee, T. K., Nguyen, T. T., Nazari, A., & Thiruvady, D. (2024). Covid19-twitter: A Twitter-based Dataset for Discourse Analysis in Sentence-level Sentiment Classification. In International Conference on Information and Knowledge Management Proceedings (pp. 5370-5374). ACM.
DOI Scopus2
2023 Ahmad, A., Luo, W., & Robles-Kelly, A. (2023). A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 14177 LNAI (pp. 408-422). Springer Nature Switzerland.
DOI
2023 Gupta, S., Bouadjenek, M. R., & Robles-Kelly, A. (2023). A Mask-Based Logic Rules Dissemination Method for Sentiment Classifiers. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 13980 LNCS (pp. 394-408). Springer Nature Switzerland.
DOI Scopus2
2023 Ahmad, A., Luo, W., & Robles-Kelly, A. (2023). Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds. In Lecture Notes in Computer Science Vol. 13935 LNCS (pp. 380-392). Springer Nature Switzerland.
DOI Scopus1
2023 Noor, K. T., Robles-Kelly, A., Zhang, L. Y., & Bouadjenek, M. R. (2023). A Bottom-Up Capsule Network for Hierarchical Image Classification. In 2023 International Conference on Digital Image Computing Techniques and Applications Dicta 2023 (pp. 325-331). IEEE.
DOI Scopus3
2023 Mashrur, A., Luo, W., Zaidi, N. A., & Robles-Kelly, A. (2023). Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles. In 2023 International Conference on Digital Image Computing Techniques and Applications Dicta 2023 (pp. 478-485). IEEE.
DOI
2023 Khan, T. M., Naqvi, S. S., Robles-Kelly, A., & Meijering, E. (2023). Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 13623 LNCS (pp. 612-623). Springer International Publishing.
DOI Scopus3
2023 Williams, J., Yip, B., McCarthy, B., Cao, T. T., & Robles-Kelly, A. (2023). Contrastive Learning for Ship Classification Using Real and Complex SAR Imagery. In 2023 International Conference on Digital Image Computing Techniques and Applications Dicta 2023 (pp. 531-538). IEEE.
DOI
2023 Ahmad, A., Chau, V. L., Robles-Kelly, A., Gao, S., Gao, L., Chi, L., & Luo, W. (2023). Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning. In Proceedings of the International Joint Conference on Neural Networks Vol. 2023-June (pp. 1-8). IEEE.
DOI Scopus2
2023 De Silva Edirimuni, D., Lu, X., Shao, Z., Li, G., Robles-Kelly, A., & He, Y. (2023). IterativePFN: True Iterative Point Cloud Filtering. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 13530-13539). IEEE.
DOI Scopus68
2023 Wang, W., Lu, X., Shao, D., Liu, X., Dazeley, R., Robles-Kelly, A., & Pan, W. (2023). Weighted Point Cloud Normal Estimation. In Proceedings IEEE International Conference on Multimedia and Expo Vol. 2023-July (pp. 2015-2020). IEEE.
DOI Scopus8
2023 Abbasi, B. H., Zhong, Q., Zhang, L. Y., Gao, S., Robles-Kelly, A., & Doss, R. (2023). A Generic Enhancer for Backdoor Attacks on Deep Neural Networks. In Communications in Computer and Information Science Vol. 1794 CCIS (pp. 296-307). Springer Nature Singapore.
DOI Scopus1
2022 Noor, K. T., Robles-Kelly, A., & Kusy, B. (2022). A Capsule Network for Hierarchical Multi-label Image Classification. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 13813 LNCS (pp. 163-172). Springer International Publishing.
DOI Scopus9
2022 Gupta, S., Bouadjenek, M. R., & Robles-Kelly, A. (2022). An Analysis of Logic Rule Dissemination in Sentiment Classifiers. In Lecture Notes in Computer Science Vol. 13390 LNCS (pp. 118-124). Springer International Publishing.
DOI Scopus1
2022 Khan, T. M., Robles-Kelly, A., & Naqvi, S. S. (2022). T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation. In Proceedings 2022 IEEE Cvf Winter Conference on Applications of Computer Vision Wacv 2022 (pp. 1799-1808). IEEE.
DOI Scopus41
2022 Wang, W., Lu, X., De Silva Edirimuni, D., Liu, X., & Robles-Kelly, A. (2022). Deep Point Cloud Normal Estimation Via Triplet Learning. In Proceedings IEEE International Conference on Multimedia and Expo Vol. 2022-July (pp. 1-6). IEEE.
DOI Scopus8
2022 Wang, W., Lu, X., De Silva Edirimuni, D., Liu, X., & Robles-Kelly, A. (2022). Deep Point Cloud Normal Estimation via Triplet Learning (Demonstration). In Icmew 2022 IEEE International Conference on Multimedia and Expo Workshops 2022 Proceedings (pp. 1). IEEE.
DOI Scopus2
2022 Boone-Sifuentes, T., Nazari, A., Razzak, I., Bouadjenek, M. R., Robles-Kelly, A., Ierodiaconou, D., & Oh, E. S. (2022). Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification. In International Conference on Information and Knowledge Management Proceedings (pp. 3838-3842). ACM.
DOI Scopus14
2021 Mashrur, A., Luo, W., Zaidi, N. A., & Robles-Kelly, A. (2021). Robust Neural Regression via Uncertainty Learning. In Proceedings of the International Joint Conference on Neural Networks Vol. 2021-July (pp. 6 pages). ELECTR NETWORK: IEEE.
DOI Scopus2 WoS2
2021 Ansarizadeh, F., Tay, D. B., Thiruvady, D., & Robles-Kelly, A. (2021). Augmenting Graph Convolutional Neural Networks with Highpass Filters. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 12644 LNCS (pp. 77-86). Springer International Publishing.
DOI
2021 Collins, L., & Robles-Kelly, A. (2021). Single-image Object Classification Based on Illuminette Construction from Shadow Imaging. In Dicta 2021 2021 International Conference on Digital Image Computing Techniques and Applications (pp. 1-8). IEEE.
DOI
2021 Gupta, S., Robles-Kelly, A., & Bouadjenek, M. R. (2021). Feature Extraction Functions for Neural Logic Rule Learning. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 12644 LNCS (pp. 98-107). Springer International Publishing.
DOI Scopus1
2021 Khan, T. M., Robles-Kelly, A., & Naqvi, S. S. (2021). RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation. In Dicta 2021 2021 International Conference on Digital Image Computing Techniques and Applications (pp. 01-07). IEEE.
DOI Scopus16
2021 Khan, T. M., Robles-Kelly, A., Naqvi, S. S., & Arsalan, M. (2021). Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 12644 LNCS (pp. 324-333). Springer International Publishing.
DOI Scopus18
2021 Rashid, A. H., Razzak, I., Tanveer, M., & Robles-Kelly, A. (2021). RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection. In Proceedings of the International Joint Conference on Neural Networks Vol. 2021-July (pp. 1-6). IEEE.
DOI Scopus13
2020 Zaslavsky, A., Hassani, A., Haghighi, P. D., Robles-Kelly, A., & Chrysanthis, P. K. (2020). Crystal-Ball and Magic Wand Combined: Predicting Situations and Making Them Happen. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 12563 LNCS (pp. 683-697). Springer International Publishing.
DOI Scopus1
2020 Khan, T. M., & Robles-Kelly, A. (2020). A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks. In Communications in Computer and Information Science Vol. 1333 (pp. 241-250). Springer International Publishing.
DOI Scopus8
2020 Gupta, S., & Robles-Kelly, A. (2020). Feature-Extracting Functions for Neural Logic Rule Learning. In 2020 Digital Image Computing Techniques and Applications Dicta 2020 (pp. 1-2). IEEE.
DOI
2020 Khan, T. M., Robles-Kelly, A., & Naqvi, S. S. (2020). A Semantically Flexible Feature Fusion Network for Retinal Vessel Segmentation. In Communications in Computer and Information Science Vol. 1332 (pp. 159-167). Springer International Publishing.
DOI Scopus22
2020 Boone-Sifuentes, T., Robles-Kelly, A., & Nazari, A. (2020). Max-Variance Convolutional Neural Network Model Compression. In 2020 Digital Image Computing Techniques and Applications Dicta 2020 (pp. 1-6). IEEE.
DOI Scopus3
2020 Luo, W., Mashrur, A., Robles-Kelly, A., & Li, G. (2020). Bias-regularised Neural-Network Metamodelling of Insurance Portfolio Risk. In Proceedings of the International Joint Conference on Neural Networks (pp. 8 pages). ELECTR NETWORK: IEEE.
DOI Scopus1 WoS2
2020 Rashid, A. H., Razzak, I., Tanveer, M., & Robles-Kelly, A. (2020). RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents. In Communications in Computer and Information Science Vol. 1333 (pp. 172-179). Springer International Publishing.
DOI Scopus11
2020 Shoeiby, M., Petersson, L., Armin, M. A., Aliakbarian, S., & Robles-Kelly, A. (2020). Super-resolved chromatic mapping of snapshot mosaic image sensors via a texture sensitive residual network. In Proceedings 2020 IEEE Winter Conference on Applications of Computer Vision Wacv 2020 (pp. 2793-2802). IEEE.
DOI Scopus1
2020 Zhang, D., Fang, Z., Lu, X., Qin, H., Robles-Kelly, A., Zhang, C., & He, Y. (2020). Deep Patch-Based Human Segmentation. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 12532 LNCS (pp. 229-240). Springer International Publishing.
DOI Scopus4
2019 Shoeiby, M., Armin, M. A., & Robles-Kelly, A. (2019). Image Registration via Geometrically Constrained Total Variation Optical Flow. In 2018 International Conference on Digital Image Computing Techniques and Applications Dicta 2018 (pp. 1-7). IEEE.
DOI
2019 Zhu, H., Sun, X., Zhang, Q., Wang, Q., Robles-Kelly, A., & Li, H. (2019). Anti-occlusion Light-Field Optical Flow Estimation Using Light-Field Super-Pixels. In G. Carneiro, & S. You (Eds.), Lecture Notes in Computer Science Vol. 11367 LNCS (pp. 3-12). AUSTRALIA, Perth: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI WoS3
2019 Robles-Kelly, A., & Nazari, A. (2019). Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training. In 2019 Digital Image Computing Techniques and Applications Dicta 2019 (pp. 1-6). IEEE.
DOI Scopus2
2019 Li, J., Robles-Kelly, A., You, S., & Matsushita, Y. (2019). Learning to minify photometric stereo. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 7560-7568). CA, Long Beach: IEEE.
DOI Scopus87 WoS66
2019 Shoeiby, M., Robles-Kelly, A., Wei, R., & Timofte, R. (2019). PIRM2018 challenge on spectral image super-resolution: Dataset and study. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 11133 LNCS (pp. 276-287). Springer International Publishing.
DOI Scopus3
2019 Ge, M., Fu, X., Syed, N., Baig, Z., Teo, G., & Robles-Kelly, A. (2019). Deep learning-based intrusion detection for IoT networks. In Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing Prdc Vol. 2019-December (pp. 256-265). JAPAN, Kyoto: IEEE COMPUTER SOC.
DOI Scopus250 WoS138
2019 Shoeiby, M., Robles-Kelly, A., Timofte, R., Zhou, R., Lahoud, F., Süsstrunk, S., . . . Ganapathysubramanian, B. (2019). PIRM2018 challenge on spectral image super-resolution: Methods and results. In Lecture Notes in Computer Science Vol. 11133 LNCS (pp. 356-371). Springer International Publishing.
DOI Scopus5
2018 Robles-Kelly, A., & Wei, R. (2018). A Convolutional Neural Network for Pixelwise Illuminant Recovery in Colour and Spectral Images. In Proceedings International Conference on Pattern Recognition Vol. 2018-August (pp. 109-114). PEOPLES R CHINA, Chinese Acad Sci, Inst Automat, Beijing: IEEE.
DOI Scopus18 WoS16
2018 Robles-Kelly, A., Wei, R., & You, S. (2018). A multispectral light field camera for 3D imaging from a single lens. In Optics Infobase Conference Papers Vol. Part F95-3D 2018 (pp. JW5E.1). OSA.
DOI Scopus1
2018 Li, J., You, S., & Robles-Kelly, A. (2018). A Frequency Domain Neural Network for Fast Image Super-resolution. In Proceedings of the International Joint Conference on Neural Networks Vol. 2018-July (pp. 1-8). IEEE.
DOI Scopus39
2018 Wei, R., Robles-Kelly, A., & Álvarez, J. (2018). Context free band reduction using a convolutional neural network. In X. Bai, E. R. Hancock, T. K. Ho, R. C. Wilson, B. Biggio, & A. RoblesKelly (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 11004 LNCS (pp. 86-96). PEOPLES R CHINA, Beihang Univ, Sch Comp Sci & Engn, Beijing: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI Scopus1 WoS1
2017 Robles-Kelly, A., & Wei, R. (2017). A spectral clustering approach for online and streaming applications. In Proceedings of the International Joint Conference on Neural Networks Vol. 2017-May (pp. 3904-3911). AK, Anchorage: IEEE.
DOI Scopus2
2017 Li, J., You, S., & Robles-Kelly, A. (2017). Stereo Super-Resolution via a Deep Convolutional Network. In Dicta 2017 2017 International Conference on Digital Image Computing Techniques and Applications Vol. 2017-December (pp. 1-7). IEEE.
DOI
2017 Li, J., You, S., & Robles-Kelly, A. (2017). Stereo Super-resolution via a Deep Convolutional Network. In Y. Guo, H. Li, W. Cai, M. Murshed, Z. Wang, J. Gao, & D. D. Feng (Eds.), 2017 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING - TECHNIQUES AND APPLICATIONS (DICTA) (pp. 858-864). AUSTRALIA, Sydney: IEEE.
2016 Robles-Kelly, A., & Wei, R. (2016). Semi-supervised image labelling using barycentric graph embeddings. In Proceedings International Conference on Pattern Recognition Vol. 0 (pp. 1518-1523). MEXICO, Mexican Assoc Comp Vis Robot & Neural Comp, Cancun: IEEE COMPUTER SOC.
DOI Scopus3 WoS1
2016 Gu, L., & Robles-Kelly, A. (2016). A quadratic optimisation approach for shading and specularity recovery from a single image. In Proceedings International Conference on Image Processing Icip Vol. 2016-August (pp. 4072-4076). AZ, Phoenix: IEEE.
DOI Scopus3 WoS3
2016 Robles-Kelly, A., Gu, L., & Wei, R. (2016). Classification from a Riemannian graph embedding viewpoint. In Proceedings of the International Joint Conference on Neural Networks Vol. 2016-October (pp. 3288-3295). CANADA, Vancouver: IEEE.
DOI
2015 Robles-Kelly, A. (2015). Single image spectral reconstruction for multimedia applications. In Mm 2015 Proceedings of the 2015 ACM Multimedia Conference (pp. 251-260). AUSTRALIA, Brisbane: ASSOC COMPUTING MACHINERY.
DOI Scopus63 WoS63
2015 Mutimbu, L., & Robles-Kelly, A. (2015). Factor graphs for pixelwise illuminant estimation. In Proceedings of the International Joint Conference on Neural Networks Vol. 2015-September (pp. 1-8). IEEE.
DOI Scopus1
2015 Sohaib, A., & Robles-Kelly, A. (2015). Radiometric calibration for HDR imaging. In Proceedings International Conference on Image Processing Icip Vol. 2015-December (pp. 2815-2819). CANADA, Quebec City: IEEE.
DOI
2015 Sohaib, A., & Robles-Kelly, A. (2015). Exposure Adjustment for Hyperspectral Cameras. In 2015 International Conference on Digital Image Computing Techniques and Applications Dicta 2015 (pp. 1-7). IEEE.
DOI Scopus1
2015 Sohaib, A., & Robles-Kelly, A. (2015). Exposure Adjustment for Hyperspectral Cameras. In 2015 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA) (pp. 329-335). AUSTRALIA, Adelaide: IEEE.
2014 Mutimbu, L. D., & Robles-Kelly, A. (2014). Factor graphs for image processing. In Proceedings International Conference on Pattern Recognition (pp. 1443-1448). SWEDEN, Swedish Soc Automated Image Anal, Stockholm: IEEE COMPUTER SOC.
DOI
2014 Huynh, C. P., & Robles-Kelly, A. (2014). Recovery of Spectral Sensitivity Functions from a Colour Chart Image under Unknown Spectrally Smooth Illumination. In Proceedings International Conference on Pattern Recognition (pp. 708-713). SWEDEN, Swedish Soc Automated Image Anal, Stockholm: IEEE COMPUTER SOC.
DOI Scopus10 WoS8
2014 Robles-Kelly, A. (2014). Max-correlation embedding computation. In P. Franti, G. Brown, M. Loog, F. Escolano, & M. Pelillo (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 8621 LNCS (pp. 113-122). FINLAND, Univ Eastern Finland, Sch Comp, Joensuu: SPRINGER-VERLAG BERLIN.
DOI Scopus1 WoS1
2014 Jordan, J., Angelopoulou, E., & Robles-Kelly, A. (2014). An unsupervised material learning method for imaging spectroscopy. In Proceedings of the International Joint Conference on Neural Networks (pp. 2428-2435). PEOPLES R CHINA, Beijing: IEEE.
DOI Scopus1
2013 Huynh, C. P., & Robles-Kelly, A. (2013). A comparative evaluation of spectral reflectance representations for spectrum reconstruction, interpolation and classification. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 328-335). OR, Portland: IEEE.
DOI Scopus4 WoS3
2013 Ratnasingam, S., & Robles-Kelly, A. (2013). A spiking neural network for illuminant-invariant colour discrimination. In Proceedings of the International Joint Conference on Neural Networks (pp. 1-8). IEEE.
DOI Scopus4
2013 Mutimbu, L., & Robles-Kelly, A. (2013). A relaxed factorial Markov random field for colour and depth estimation from a single foggy image. In 2013 IEEE International Conference on Image Processing Icip 2013 Proceedings (pp. 355-359). AUSTRALIA, Melbourne: IEEE.
DOI Scopus13 WoS12
2013 Ratnasingam, S., & Robles-Kelly, A. (2013). A biologically motivated double-opponency approach to illumination invariance. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 7726 LNCS (pp. 296-309). Springer Berlin Heidelberg.
DOI Scopus2
2013 Rahman, S., & Robles-Kelly, A. (2013). A method for estimating light direction, shape, and reflection parameters from a single image. In 2013 IEEE International Conference on Image Processing Icip 2013 Proceedings (pp. 2034-2038). AUSTRALIA, Melbourne: IEEE.
DOI Scopus1 WoS1
2013 Gu, L., Huynh, C. P., & Robles-Kelly, A. (2013). Reconstructing polarisation components from unpolarised images. In 2013 International Conference on Digital Image Computing Techniques and Applications Dicta 2013 (pp. 1-8). IEEE.
DOI
2013 Gu, L., Cong, P. H., & Robles-Kelly, A. (2013). Reconstructing Polarisation Components from Unpolarised Images. In P. DeSouza, U. Engelke, & A. Rahman (Eds.), 2013 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES & APPLICATIONS (DICTA) (pp. 80-87). AUSTRALIA, Hobart: IEEE.
2012 Masschelein, B., Robles-Kelly, A., Blanch, C., Tack, N., Simpson-Young, B., & Lambrechts, A. (2012). Towards a colony counting system using hyperspectral imaging. In D. L. Farkas, D. V. Nicolau, & R. C. Leif (Eds.), IMAGING, MANIPULATION, AND ANALYSIS OF BIOMOLECULES, CELLS, AND TISSUES X Vol. 8225 (pp. 15 pages). CA, San Francisco: SPIE-INT SOC OPTICAL ENGINEERING.
DOI WoS5
2012 Bonilla, E. V., & Robles-Kelly, A. (2012). Discriminative probabilistic prototype learning. In Proceedings of the 29th International Conference on Machine Learning Icml 2012 Vol. 1 (pp. 735-742).
Scopus5
2012 Romero-Ortega, L., & Robles-Kelly, A. (2012). Colour matching function learning. In G. Gimelfarb, E. Hancock, A. Imiya, A. Kuijper, M. Kudo, S. Omachi, . . . K. Yamada (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 7626 LNCS (pp. 318-326). JAPAN, Hokkaido Univ, Hiroshima: SPRINGER-VERLAG BERLIN.
DOI
2012 Ratnasingam, S., & Robles-Kelly, A. (2012). A spectral reflectance representation for recognition and reproduction. In Proceedings International Conference on Pattern Recognition (pp. 1900-1903). JAPAN, Univ Tsukuba, Tsukuba: IEEE.
Scopus1 WoS1
2012 Huynh, C. P., & Robles-Kelly, A. (2012). Illuminant segmentation in non-uniformly lit scenes. In Proceedings International Conference on Pattern Recognition (pp. 3664-3667). JAPAN, Univ Tsukuba, Tsukuba: IEEE.
2012 Gu, L., & Robles-Kelly, A. (2012). Shadow detection via Rayleigh scattering and Mie theory. In Proceedings International Conference on Pattern Recognition (pp. 2165-2168). JAPAN, Univ Tsukuba, Tsukuba: IEEE.
Scopus3 WoS3
2011 Robles-Kelly, A. (2011). Learning a gaussian basis for spectra representation aimed at reflectance classification. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 88-95). IEEE.
DOI
2011 Gu, L., & Robles-Kelly, A. (2011). Specularity removal from imaging spectroscopy data via entropy minimisation. In Proceedings 2011 International Conference on Digital Image Computing Techniques and Applications Dicta 2011 (pp. 59-65). IEEE.
DOI Scopus2
2011 Rahman, S., & Robles-Kelly, A. (2011). On the recovery of shape and reflectance from a single multispectral image. In Proceedings 2011 International Conference on Digital Image Computing Techniques and Applications Dicta 2011 (pp. 572-578). IEEE.
DOI
2011 Zhao, H., Robles-Kelly, A., & Zhou, J. (2011). On the use of the Chi-squared distance for the structured learning of graph embeddings. In Proceedings 2011 International Conference on Digital Image Computing Techniques and Applications Dicta 2011 (pp. 422-428). IEEE.
DOI Scopus2
2011 Gu, L., Huynh, C. P., Robles-Kelly, A., & Zhou, J. (2011). Material-specific user colour profiles from imaging spectroscopy data. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1987-1994). SPAIN, Barcelona: IEEE.
DOI Scopus3 WoS3
2010 Hasan, M., Jia, X., Robles-Kelly, A., Zhou, J., & Pickering, M. R. (2010). Multi-spectral remote sensing image registration via spatial relationship analysis on sift keypoints. In International Geoscience and Remote Sensing Symposium IGARSS (pp. 1011-1014). HI, Honolulu: IEEE.
DOI Scopus56 WoS38
2010 Hasan, M., Pickering, M., Robles-Kelly, A., Zhou, J., & Jia, X. (2010). Regisration of hyperspectral and trichromatic images via cross cumulative residual entropy maximisation. In Proceedings International Conference on Image Processing Icip (pp. 2329-2332). PEOPLES R CHINA, Hong Kong: IEEE.
DOI Scopus9 WoS5
2010 Huynh, C. P., Robles-Kelly, A., & Hancock, E. (2010). Shape and refractive index recovery from single-view polarisation images. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1229-1236). CA, San Francisco: IEEE COMPUTER SOC.
DOI Scopus100 WoS73
2010 Huynh, C. P., & Robles-Kelly, A. (2010). HYPERSPECTRAL IMAGING FOR SKIN RECOGNITION AND BIOMETRICS. In 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (pp. 2325-2328). PEOPLES R CHINA, Hong Kong: IEEE.
DOI WoS9
2010 Huynh, C. P., & Robles-Kelly, A. (2010). A probabilistic approach to spectral unmixing. In E. R. Hancock, R. C. Wilson, T. Windeatt, I. Ulusoy, & F. Escolano (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 6218 LNCS (pp. 344-353). TURKEY, Izmir: SPRINGER-VERLAG BERLIN.
DOI Scopus1 WoS1
2010 Zhou, J., & Robles-Kelly, A. (2010). Image inpainting based on local optimisation. In Proceedings International Conference on Pattern Recognition (pp. 4440-4443). IEEE.
DOI Scopus9
2010 Huynh, C. P., Robles-Kelly, A., & Hancock, E. (2010). Robust shape from polarisation and shading. In Proceedings International Conference on Pattern Recognition (pp. 810-813). IEEE.
DOI Scopus1
2010 Khuwuthyakorn, P., Robles-Kelly, A., & Zhou, J. (2010). Object of interest detection by saliency learning. In K. Daniilidis, P. Maragos, & N. Paragios (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 6312 LNCS (pp. 636-649). GREECE, Heraklion: SPRINGER-VERLAG BERLIN.
DOI Scopus44 WoS32
2010 Zhao, H., Zhou, J., & Robles-Kelly, A. (2010). A structured learning approach to attributed graph embedding. In E. R. Hancock, R. C. Wilson, T. Windeatt, I. Ulusoy, & F. Escolano (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 6218 LNCS (pp. 70-79). TURKEY, Izmir: SPRINGER-VERLAG BERLIN.
DOI
2010 Nguyen, Q. A., Robles-Kelly, A., & Zhou, J. (2010). A graph-based feature combination approach to object tracking. In H. B. Zha, R. I. Taniguchi, & S. Maybank (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 5995 LNCS (pp. 224-235). PEOPLES R CHINA, Xian: SPRINGER-VERLAG BERLIN.
DOI
2009 Zhou, J., Fu, Z., & Robles-Kelly, A. (2009). Learning the optimal transformation of salient features for image classification. In H. Shi, Y. C. Zhang, M. J. Bottema, B. C. Lovell, & A. J. Maeder (Eds.), Dicta 2009 Digital Image Computing Techniques and Applications (pp. 125-131). AUSTRALIA, Melbourne: IEEE.
DOI
2009 Zhao, H., Zhou, J., Robles-Kelly, A., Lu, J., & Yang, J. Y. (2009). Automatic detection of defective zebrafish embryos via shape analysis. In H. Shi, Y. C. Zhang, M. J. Bottema, B. C. Lovell, & A. J. Maeder (Eds.), Dicta 2009 Digital Image Computing Techniques and Applications (pp. 431-438). AUSTRALIA, Melbourne: IEEE.
DOI Scopus2 WoS2
2009 Huynh, C. P., & Robles-Kelly, A. (2009). Simultaneous photometric invariance and shape recovery. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1757-1764). JAPAN, Kyoto: IEEE.
DOI Scopus6 WoS4
2009 Fu, Z., & Robles-Kelly, A. (2009). An instance selection approach to multiple instance learning. In 2009 IEEE Conference on Computer Vision and Pattern Recognition Cvpr 2009 (pp. 911-918). FL, Miami Beach: IEEE.
DOI Scopus24 WoS14
2009 Khuwuthyakorn, P., Robles-Kelly, A., & Zhou, J. (2009). An affine Invariant Hyperspectral Texture Descriptor Based Upon Heavy-tailed Distributions and Fourier Analysis. In 2009 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPR WORKSHOPS 2009), VOLS 1 AND 2 (pp. 378-+). FL, Miami Beach: IEEE.
2009 Khuwuthyakorn, P., Robles-Kelly, A., & Zhou, J. (2009). An affine invariant hyperspectral texture descriptor based upon heavy-tailed distributions and fourier analysis. In 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Cvpr Workshops 2009 (pp. 112-119). IEEE.
DOI Scopus4
2008 Huynh, C. P., & Robles-Kelly, A. (2008). Optimal solution of the dichromatic model for multispectral photometric invariance. In N. DaVitoria Lobo, T. Kasparis, F. Roli, J. T. Kwok, M. Georgiopoulos, G. C. Anagnostopoulos, & M. Loog (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 5342 LNCS (pp. 382-391). FL, Univ Central Florida, Orlando: SPRINGER-VERLAG BERLIN.
DOI Scopus4 WoS3
2008 Zhou, J., & Robles-Kelly, A. (2008). A quasi-random sampling approach to image retrieval. In 26th IEEE Conference on Computer Vision and Pattern Recognition Cvpr (pp. 1-8). IEEE.
DOI Scopus6
2008 Fu, Z., & Robles-Kelly, A. (2008). On mixtures of linear SVMs for nonlinear classification. In N. DaVitoria Lobo, T. Kasparis, F. Roli, J. T. Kwok, M. Georgiopoulos, G. C. Anagnostopoulos, & M. Loog (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 5342 LNCS (pp. 489-499). FL, Univ Central Florida, Orlando: SPRINGER-VERLAG BERLIN.
DOI Scopus16 WoS12
2008 Cong, P. H., & Robles-Kelly, A. (2008). A NURBS-based spectral reflectance descriptor with applications in computer vision and pattern recognition. In 26th IEEE Conference on Computer Vision and Pattern Recognition Cvpr (pp. 1-8). IEEE.
DOI Scopus10
2008 Prakash, S., & Robles-Kelly, A. (2008). A semisupervised approach to space carving. In Proceedings International Conference on Pattern Recognition (pp. 1-4). IEEE.
DOI Scopus1
2008 Fu, Z., & Robles-Kelly, A. (2008). A fast hierarchical approach to image segmentation. In Proceedings International Conference on Pattern Recognition (pp. 1598-1601). FL, Tampa: IEEE.
DOI Scopus1
2008 Fu, Z., & Robles-Kelly, A. (2008). Fast multiple instance learning via L1,2 logistic regression. In Proceedings International Conference on Pattern Recognition (pp. 3815-3818). FL, Tampa: IEEE.
DOI Scopus5
2008 Khuwuthyakorn, P., Robles-Kelly, A., & Zhou, J. (2008). Texture descriptors via stable distributions. In Proceedings Digital Image Computing Techniques and Applications Dicta 2008 (pp. 214-219). IEEE.
DOI
2008 Huang, J. H., Zia, A., Zhou, J., & Robles-Kelly, A. (2008). Content-based image retrieval via subspace-projected salient features. In Proceedings Digital Image Computing Techniques and Applications Dicta 2008 (pp. 593-599). IEEE.
DOI Scopus5
2008 Huynh, C. P., & Robles-Kelly, A. (2008). A NURBS-based spectral reflectance descriptor with applications in computer vision and pattern recognition. In 2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12 (pp. 3345-3352). AK, Anchorage: IEEE.
WoS1
2008 Zhou, J., & Robles-Kelly, A. (2008). A quasi-random sampling approach to image retrieval. In 2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12 (pp. 357-364). AK, Anchorage: IEEE.
2008 Prakash, S., & Robles-Kelly, A. (2008). A Semisupervised Approach to Space Carving. In 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 (pp. 3877-3880). FL, Tampa: IEEE.
2007 Nguyen, Q., Robles-Kelly, A., & Shen, C. (2007). Kernel-based tracking from a probabilistic viewpoint. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'07) (pp. 1-8). Online: IEEE.
DOI Scopus12
2007 Cong, P. H., & Robles-Kelly, A. (2007). Comparative colorimetric simulation and evaluation of digital cameras using spectroscopy data. In Proceedings Digital Image Computing Techniques and Applications 9th Biennial Conference of the Australian Pattern Recognition Society Dicta 2007 (pp. 309-316). IEEE.
DOI Scopus12
2007 Fu, Z., & Robles-Kelly, A. (2007). Convex optimisation for multiclass image labeling. In Proceedings Digital Image Computing Techniques and Applications 9th Biennial Conference of the Australian Pattern Recognition Society Dicta 2007 (pp. 438-445). IEEE.
DOI
2007 Fu, Z., & Robles-Kelly, A. (2007). Learning object material categories via pairwise discriminant analysis. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1-7). IEEE.
DOI Scopus7
2007 Fu, Z., & Robles-Kelly, A. (2007). An energy minimisation approach to attributed graph regularisation. In A. L. Yuille, S. C. Zhu, D. Cremers, & Y. T. Wang (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 4679 LNCS (pp. 71-86). PEOPLES R CHINA, Lotus Hill Inst, Ezhou: SPRINGER-VERLAG BERLIN.
DOI Scopus1
2007 Zhouyu, D., Robles-Kelly, A., & Fangfang, L. (2007). Robust surface reconstruction from gradient field using the L1 norm. In Proceedings Digital Image Computing Techniques and Applications 9th Biennial Conference of the Australian Pattern Recognition Society Dicta 2007 (pp. 203-209). IEEE.
DOI Scopus22
2007 Lu, F., Fu, Z., & Robles-Kelly, A. (2007). Efficient graph cuts for multiclass interactive image segmentation. In Y. Yagi, S. B. Kang, I. S. Kweon, & H. Zha (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 4844 LNCS (pp. 134-144). JAPAN, Tokyo: SPRINGER-VERLAG BERLIN.
DOI Scopus6 WoS3
2007 Fu, Z., Robles-Kelly, A., & Lu, F. (2007). A linear programming approach to surface fitting. In Proceedings Digital Image Computing Techniques and Applications 9th Biennial Conference of the Australian Pattern Recognition Society Dicta 2007 (pp. 189-195). IEEE.
DOI Scopus3
2007 Fu, Z., & Robles-Kelly, A. (2007). Learning object material categories via pairwise discriminant analysis. In 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8 (pp. 3487-+). MN, Minneapolis: IEEE.
2007 Nguyen, Q. A., Robles-Kelly, A., & Shen, C. (2007). Kernel-based tracking from a probabilistic viewpoint. In 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8 (pp. 2070-+). MN, Minneapolis: IEEE.
WoS1
2006 Nguyen, Q., Robles-Kelly, A., & Shen, C. (2006). Enhanced kernel-based tracking for monochromatic and thermographic video. In Proc. IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS'06) (pp. 1-6). Online: IEEE.
DOI Scopus10
2006 Robles-Kelly, A., & Moses, Y. (2006). Transitivity-based removal of correspondence outliers for motion analysis. In 2006 Conference on Computer Vision and Pattern Recognition Workshops Vol. 2006 (pp. 202). IEEE.
DOI Scopus1
2006 Robles-Kelly, A., & Goecke, R. (2006). A wavelet-based approach to image feature stability assessment. In 2006 Conference on Computer Vision and Pattern Recognition Workshops Vol. 2006 (pp. 25). IEEE.
DOI Scopus3
2006 Rahman, M. M., & Robles-Kelly, A. (2006). A tuned eigenspace technique for articulated motion recognition. In A. Leonardis, H. Bischof, & A. Pinz (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 3951 LNCS (pp. 174-185). AUSTRIA, Graz: SPRINGER-VERLAG BERLIN.
DOI Scopus3 WoS3
2006 Robles-Kelly, A., & Hancock, E. R. (2006). Point pattern matching via spectral geometry. In D. Y. Yeung, J. T. Kwok, A. Fred, F. Roli, & D. DeRidder (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 4109 LNCS (pp. 459-467). PEOPLES R CHINA, Hong Kong: SPRINGER-VERLAG BERLIN.
DOI Scopus1 WoS1
2006 Fu, Z., Robles-Kelly, A., Tan, R. T., & Caelli, T. (2006). Invariant object material identification via discriminant learning on absorption features. In 2006 Conference on Computer Vision and Pattern Recognition Workshops Vol. 2006 (pp. 140). IEEE.
DOI Scopus5
2006 Zhouyu, F., Caelli, T., Nianjun, L., & Robles-Kelly, A. (2006). Boosted band ratio feature selection for hyperspectral image classification. In Y. Y. Tang, S. P. Wang, G. Lorette, D. S. Yeung, & H. Yan (Eds.), Proceedings International Conference on Pattern Recognition Vol. 1 (pp. 1059-1062). PEOPLES R CHINA, Hong Kong: IEEE COMPUTER SOC.
DOI Scopus13 WoS9
2005 Robles-Kelly, A. (2005). A thermodynamics approach to graph similarity. In Proceedings of the Digital Imaging Computing Techniques and Applications Dicta 2005 Vol. 2005 (pp. 65-70). IEEE.
DOI
2005 Robles-Kelly, A. (2005). Segmentation via graph-spectral methods and Riemannian geometry. In A. Gagalowicz, & W. Philips (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 3691 LNCS (pp. 661-668). FRANCE, Versailles: SPRINGER-VERLAG BERLIN.
DOI Scopus3 WoS2
2005 Barnes, N., Loy, G., Shaw, D., & Robles-Kelly, A. (2005). Regular polygon detection. In Proceedings of the IEEE International Conference on Computer Vision Vol. I (pp. 778-785). PEOPLES R CHINA, Beijing: IEEE COMPUTER SOC.
DOI Scopus51 WoS29
2004 Ragheb, H., Robles-Kelly, A., & Hancock, E. R. (2004). Testing reflectance models Against radiance data. In Y. Aloimonos, & G. Taubin (Eds.), Proceedings 2nd International Symposium on 3D Data Processing Visualization and Transmission 3dpvt 2004 (pp. 880-887). GREECE, Thessaloniki: IEEE COMPUTER SOC.
DOI
2004 Robles-Kelly, A., & Hancock, E. R. (2004). Surface height recovery using heat flow and manifold embedding. In Y. Aloimonos, & G. Taubin (Eds.), Proceedings 2nd International Symposium on 3D Data Processing Visualization and Transmission 3dpvt 2004 (pp. 860-867). GREECE, Thessaloniki: IEEE COMPUTER SOC.
DOI
2004 Robles-Kelly, A., & Hancock, E. R. (2004). Vector field smoothing via heat flow. In J. Kittler, M. Petrou, & M. Nixon (Eds.), Proceedings International Conference on Pattern Recognition Vol. 2 (pp. 94-97). ENGLAND, British Machine Vis Assoc, Cambridge: IEEE COMPUTER SOC.
DOI Scopus1 WoS1
2004 Robles-Kelly, A., & Hancock, E. R. (2004). Estimating the surface radiance function from single images. In Y. Aloimonos, & G. Taubin (Eds.), Proceedings 2nd International Symposium on 3D Data Processing Visualization and Transmission 3dpvt 2004 (pp. 494-501). GREECE, Thessaloniki: IEEE COMPUTER SOC.
DOI Scopus1
2004 Smith, W. A. P., Robles-Kelly, A., & Hancock, E. R. (2004). Facial view synthesis from a single image using shape from shading. In Y. Aloimonos, & G. Taubin (Eds.), Proceedings 2nd International Symposium on 3D Data Processing Visualization and Transmission 3dpvt 2004 (pp. 510-517). GREECE, Thessaloniki: IEEE COMPUTER SOC.
DOI Scopus2 WoS2
2004 Robles-Kelly, A., & Hancock, E. R. (2004). Correction of underexposed images using scene radiance estimation. In Proceedings International Conference on Image Processing Icip Vol. 3 (pp. 1827-1830). SINGAPORE, Singapore: IEEE.
DOI Scopus1 WoS1
2004 Robles-Kelly, A., & Hancock, E. R. (2004). Surface height recovery from surface normals using manifold embedding. In Proceedings International Conference on Image Processing Icip Vol. 3 (pp. 2107-2110). SINGAPORE, Singapore: IEEE.
DOI Scopus3
2004 Smith, W. A. P., Robles-Kelly, A., & Hancock, E. R. (2004). Reflectance correction for perspiring faces. In Proceedings International Conference on Image Processing Icip Vol. 5 (pp. 1389-1392). SINGAPORE, Singapore: IEEE.
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2004 Smith, W. A. P., Robles-Kelly, A., & Hancock, E. R. (2004). Skin reflectance modelling for face recognition. In J. Kittler, M. Petrou, & M. Nixon (Eds.), Proceedings International Conference on Pattern Recognition Vol. 3 (pp. 210-213). ENGLAND, British Machine Vis Assoc, Cambridge: IEEE COMPUTER SOC.
DOI Scopus5 WoS4
2003 Robles-Kelly, A., & Hancock, E. R. (2003). An Eigenvector Method for Surface Recovery. In Institute of Mathematics and Its Applications Vision Video and Graphics 2003 Vvg 2003 (pp. 33-40).
2003 Robles-Kelly, A., & Hancock, E. R. (2003). An eigenvector method for shape-from-shading. In Proceedings 12th International Conference on Image Analysis and Processing Iciap 2003 (pp. 474-479). ITALY, MANTOVA: IEEE COMPUTER SOC.
DOI Scopus1
2003 Robles-Kelly, A., & Hancock, E. R. (2003). Lambertian Correction for Rough and Specular Surfaces. In Institute of Mathematics and Its Applications Vision Video and Graphics 2003 Vvg 2003 (pp. 213-220).
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2003 Robles-Kelly, A., & Hancock, E. R. (2003). Edit distance from graph spectra. In Proceedings of the IEEE International Conference on Computer Vision Vol. 1 (pp. 234-241). FRANCE, NICE: IEEE COMPUTER SOC.
DOI Scopus29 WoS20
2003 Robles-Kelly, A., Bors, A. G., & Hancock, E. R. (2003). Surface acquisition from single gray-scale images. In IEEE International Conference on Image Processing Vol. 3 (pp. 721-724). SPAIN, BARCELONA: IEEE.
Scopus1
2002 Robles-Kelly, A., & Hancock, E. R. (2002). Model acquisition using shape-from-shading. In F. J. Perales, & E. R. Hancock (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 2492 (pp. 43-55). SPAIN, PALMA: SPRINGER-VERLAG BERLIN.
DOI Scopus4
2002 Robles-Kelly, A., & Hancock, E. R. (2002). String edit distance, random walks and graph matching. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 2396 (pp. 104-112). Springer Berlin Heidelberg.
DOI Scopus6
2002 Robles-Kelly, A., & Hancock, E. R. (2002). A graph spectral approach to shape-from-shading. In IEEE International Conference on Image Processing Vol. 2 (pp. II/572).
2002 Robles-Kelly, A., & Hancock, E. R. (2002). Pairwise clustering with matrix factorisation and the EM algorithm. In A. Heyden, G. Sparr, M. Nielsen, & P. Johansen (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 2351 (pp. 63-77). DENMARK, COPENHAGEN: SPRINGER-VERLAG BERLIN.
DOI Scopus2 WoS1
2002 Robles-Kelly, A., & Hancock, E. R. (2002). A graph-spectral approach to surface segmentation. In R. Kasturi, D. Laurendeau, & C. Suen (Eds.), Proceedings International Conference on Pattern Recognition Vol. 16 (pp. 509-512). CANADA, QUEBEC CITY: IEEE COMPUTER SOC.
Scopus1 WoS1
2002 Robles-Kelly, A., & Hancock, E. R. (2002). A graph-spectral approach to correspondence matching. In R. Kasturi, D. Laurendeau, & C. Suen (Eds.), Proceedings International Conference on Pattern Recognition Vol. 16 (pp. 176-179). CANADA, QUEBEC CITY: IEEE COMPUTER SOC.
Scopus5 WoS1
2002 Robles-Kelly, A., Sarkar, S., & Hancock, E. R. (2002). A fast leading eigenvector approximation for segmentation and grouping. In R. Kasturi, D. Laurendeau, & C. Suen (Eds.), Proceedings International Conference on Pattern Recognition Vol. 16 (pp. 639-642). CANADA, QUEBEC CITY: IEEE COMPUTER SOC.
Scopus2 WoS2
2002 Robles-Kelly, A., & Hancock, E. R. (2002). A graph spectral approach to shape-from-shading. In 2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS (pp. 569-572). NY, ROCHESTER: IEEE.
2001 Robles-Kelly, A., & Hancock, E. R. (2001). Maximum likelihood motion segmentation using eigendecomposition. In E. Ardizzone, & V. DiGesu (Eds.), Proceedings 11th International Conference on Image Analysis and Processing Iciap 2001 (pp. 63-68). ITALY, PALERMO: IEEE COMPUTER SOC.
DOI Scopus2 WoS2
2001 Robles-Kelly, A., & Hancock, E. R. (2001). A maximum likelihood framework for iterative eigendecomposition. In Proceedings of the IEEE International Conference on Computer Vision Vol. 1 (pp. 654-661). CANADA, VANCOUVER: IEEE COMPUTER SOC.
Scopus8 WoS3
2001 Robles-Kelly, A., & Hancock, E. R. (2001). A maximum likelihood framework for grouping and segmentation. In M. A. T. Figueiredo, J. Zerubia, & A. K. Jain (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 2134 (pp. 251-267). FRANCE, SOPHIA ANTIPOLIS: SPRINGER-VERLAG BERLIN.
DOI Scopus1
2001 Robles-Kelly, A., & Hancock, E. R. (2001). A graph-spectral method for surface height recovery from needle-maps. In A. Jacobs, & T. Baldwin (Eds.), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 1 (pp. I141-I148). HI, KAUAI: IEEE COMPUTER SOC.
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2001 Robles-Kelly, A., Bors, A. G., & Hancock, E. R. (2001). Hierarchical iterative eigendecomposition for motion segmentation. In IEEE International Conference on Image Processing Vol. 2 (pp. 363-366). GREECE, THESSALONIKI: IEEE.
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2001 Luo, B., Robles-Kelly, A., Torsello, A., Wilson, R. C., & Hancock, E. R. (2001). Discovering shape categories by clustering shock trees. In Lecture Notes in Computer Science Vol. 2124 2124 LNCS (pp. 152-160). Springer Berlin Heidelberg.
DOI Scopus7
2001 Luo, B., Robles-Kelly, A., Torsello, A., Wilson, R. C., & Hancock, E. R. (2001). Learning shape categories by clustering shock trees. In IEEE International Conference on Image Processing Vol. 3 (pp. 672-675). GREECE, THESSALONIKI: IEEE.
Scopus1 WoS1
2001 Luo, B., Robles-Kelly, A., Torsello, A., Wilson, R. C., & Hancock, E. R. (2001). A probabilistic framework for graph clustering. In A. Jacobs, & T. Baldwin (Eds.), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 1 (pp. I912-I919). HI, KAUAI: IEEE COMPUTER SOC.
Scopus16 WoS6
2001 Robles-Kelly, A., & Hancock, E. R. (2001). An expectation-maximisation framework for perceptual grouping. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 2059 (pp. 594-605). Springer Berlin Heidelberg.
DOI Scopus1

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Co-Supervisor Foundation Deep Learning Models for Hyperspectral Imaging on Resource Contrained Space Platforms Doctor of Philosophy Doctorate Full Time Mr Adrian Chan

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