Selected Research Publications
Journals
| [J40] S. P. Ang, S. L. Phung, L. Bui, and A. Bouzerdoum, "AdaptorNAS: A New Perturbation-based Neural Architecture Search for Hyperspectral Image Segmentation," IEEE Transactions on Circuits and Systems for Video Technology, 2023. (accepted 16/07/2023, IF = 8.4) |
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| [J39] S. P. Ang, S. L. Phung, S. T. M. Duong, and A. Bouzerdoum, "Multi-scale Dense Neural Architecture Search for Real-time Pedestrian Lane Detection," Applied Intelligence, vol. 53, pp. 25787-25801, 2023. (IF = 5.3) |
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| [J38] M. H. Phan, S. L. Phung, K. Luu, and A. Bouzerdoum, "Efficient hyperspectral image segmentation for biosecurity scanning using knowledge distillation from multi-head teacher," Neurocomputing, vol. 504, pp. 189-203, 2022. (IF = 6.0) |
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| [J37] H. T. Le, S. L. Phung, and A. Bouzerdoum, "Bayesian Gabor network with uncertainty estimation for pedestrian lane detection in assistive navigation," IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 8, pp. 5331-5345, 2022. (IF = 8.4) |
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| [J36] Y. Lei, S. L. Phung, A. Bouzerdoum, H. T. Le, and K. Luu, "Pedestrian lane detection for assistive navigation of vision-impaired people: Survey and experimental evaluation," IEEE Access, vol. 10, pp. 101071-101089, 2022. (IF = 3.9) |
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| [J35] V. H. Tang, A. Bouzerdoum, and S. L. Phung, "Variational Bayesian compressive multichannel indoor radar imaging," IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7459-7474, 2021. (IF = 8.2) |
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| [J34] H. T. Le, S. L. Phung, and A. Bouzerdoum, "A fast and compact deep Gabor network for micro-Doppler signal processing and human motion classification," IEEE Sensors Journal, vol. 21, no. 20, pp. 23085-23097, 2021. (IF = 4.3) |
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| [J33] J. L. Thompson, S. L. Phung, and A. Bouzerdoum, "D-Net: A generalised and optimised deep network for monocular depth estimation," IEEE Access, vol. 9, pp.
134543-134555,
2021. (IF = 3.9) |
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[J32] N. P. Le, L. C. Tran, X. Huang, E. Dutkiewicz, S. L. Phung, and A. Bouzerdoum, "Performance analysis of uplink NOMA systems with imperfect SIC detection and delay constraints over composite fading channels," IEEE Transactions on Vehicular Technology, vol. 70, no. 7, pp. 6881-6897, 2021. (IF = 6.8) |
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| [J31] M. H. Phan. Q. Nguyen, S. L. Phung, W. E. Zhang, T. D. Vo, Q. Z. Sheng, "CompactNet: A light-weight deep learning framework for smart intrusive load monitoring," IEEE Sensors Journal, vol. 21, no. 22, pp. 25181-25189, 2021. (IF = 4.3) |
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| [J30] N. P. Le, L. C. Tran, X. Huang, E. Dutkiewicz, C. Ritz, S. L. Phung, A. Bouzerdoum, D. Franklin, L. Hanzo, "Energy-harvesting aided unmanned aerial vehicles for reliable ground user localization under lognormal-Nakagami-m fading channels," IEEE Transactions on Vehicular Technology, vol. 70, no. 2, pp. 1632-1647, 2021. (IF = 6.8) |
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| [J29] S. T. M. Duong, S. L. Phung, A. Bouzerdoum, S. P.
Ang, M. M. Schira, "Correcting susceptibility artifacts of MRI sensors in brain scanning:
A 3D anatomy-guided deep learning approach," Sensors, vol. 21, no. 9, pp. 1-16, 2021. (IF = 3.9) |
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| [J28] T. N. A. Nguyen, S. L. Phung, and A. Bouzerdoum, "Hybrid deep learning-Gaussian process network for pedestrian lane detection in unstructured scenes," IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 12, pp-5324-5338, 2020. (IF = 10.4) |
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| [J27] V. H. Tang, A. Bouzerdoum, and S. L. Phung, "Compressive radar imaging of stationary indoor targets with low-rank plus jointly sparse and total variation regularizations," IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 4598-4613, 2020. (IF = 10.6) |
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| [J26] S. T. M. Duong, S. L. Phung, A. Bouzerdoum, and M. M. Schira, "An unsupervised deep learning technique for susceptibility artifact correction in reversed phase-encoding EPI images," Magnetic Resonance Imaging, vol. 71, pp. 1-10, 2020. (IF = 2.5) |
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| [J25] H. T. Le, S. L. Phung, P. B. Chapple, A. Bouzerdoum, C. H. Ritz, and L. C. Tran, "Deep Gabor neural network for automatic detection of mine-like objects in sonar imagery," IEEE Access, vol. 8, no. 1, pp.
94126-94139,
2020. (IF = 3.9) |
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| [J24] X. Peng, A. Bouzerdoum, and S. L. Phung, "A part-based spatial and temporal aggregation method for dynamic scene recognition," Neural Computing and Applications, 2020. (IF = 6.0) |
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| [J23] S. T. M. Duong, S. L. Phung, A. Bouzerdoum, H. G. Boyd Taylor, A. M. Puckett, and M. M. Schira, "Susceptibility artifact correction for sub-millimeter fMRI using inverse phase encoding registration and T1 weighted regularization," Journal of Neuroscience Methods, vol. 336, pp. 1-14, 2020. (IF = 3.0) |
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| [J22] T. N. A. Nguyen, A. Bouzerdoum, and S. L. Phung, "A scalable hierarchical Gaussian process classifier," IEEE Transactions on Signal Processing, vol. 67, no. 11, pp. 3042-3057, 2019. (IF = 5.4) |
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| [J21] L. Feng, H. Watanabe, P. Molino, G. Wallace, S. L. Phung, T. Uchihashi, M. J. Higgins, "Dynamics of inter-molecular interactions between single Aβ42 oligomeric and aggregate species by high-speed atomic force microscopy," Journal of Molecular Biology, vol. 431, no. 15, pp. 2687-2699, 2019. (IF = 5.6) |
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| [J20] M. R. Khokher, A. Bouzerdoum, and S. L. Phung, "A super descriptor tensor decomposition for dynamic scene recognition," IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 4, pp. 1063-1076, 2019. (IF = 8.4) |
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| [J19] T. N. A. Nguyen, A. Bouzerdoum, and S. L. Phung, "Stochastic variational hierarchical mixture of sparse
Gaussian processes for regression," Machine Learning, vol. 107, no. 12, pp. 1947-1986, 2018. (IF = 7.5) |
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| [J18] X. Peng, A. Bouzerdoum, and S. L. Phung, "Efficient cost aggregation for feature-vector-based wide-baseline stereo matching," EURASIP Journal on Image and Video Processing, vol. 2018, no. 24, pp. 1-16, 2018. (IF = 1.474) |
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| [J17] V. H. Tang, A. Bouzerdoum, and S. L. Phung, "Multipolarization through-wall radar imaging using low-rank and jointly-sparse representations," IEEE Transactions on Image Processing, vol. 27. no. 4, pp. 176-1776, 2018. (IF = 10.6) |
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| [J16] R. Rasti, M. Teshnehlabc, and S. L. Phung, "Breast cancer diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks," Pattern Recognition, vol. 72, no. 2017, pp. 381-390, 2017. (IF = 8.0) |
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[J15] V. H. Tang, A. Bouzerdoum, S. L. Phung, F. H. C. Tivive, "A sparse Bayesian learning approach for through-wall radar imaging of stationary targets," IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 5, pp. 2485-2501, 2017. (IF = 4.4) |
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| [J14] S. L. Phung, M. C. Le, and A. Bouzerdoum, “Pedestrian lane detection in unstructured scenes for assistive navigation,” Computer Vision and Image Understanding, vol. 2016, no. 149, pp. 186-196, 2016. (IF = 4.5) [Elsevier] |
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| [J13] X. Wei, S. L. Phung, and A. Bouzerdoum, “Visual descriptors for scene categorization: experimental evaluation,” Artificial Intelligence Review, vol. 45, no. 3, pp. 333-368, 2016. (IF =
12.0) [Springer] |
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| [J12] F. H. C. Tivive, S. L. Phung, and A. Bouzerdoum, “Classification of micro-Doppler signatures of human motion using log-Gabor filters,” IET Radar, Sonar & Navigation, vol. 9, no. 9, pp. 1188-1195, 2015. (IF = 1.908) |
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| [J11] W. Shao, A. Bouzerdoum, and S. L. Phung, “Signal classification for ground penetrating radar using sparse kernel feature selection,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 12, pp. 4670-4680, 2014. (IF = 3.827) |
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| [J10] X. Wei, S. L. Phung, and A. Bouzerdoum, “Object segmentation and classification using 3-D range camera,” Journal of Visual Communication and Image Representation (Elsevier), vol. 25, no. 1, pp. 74-85, 2014. (IF = 2.259) |
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| [J9] C. H. Seng, A. Bouzerdoum, M. G. Amin, and S. L. Phung, “Probabilistic fuzzy image fusion approach for radar through wall sensing,” IEEE Transactions on Image Processing, vol. 22, no. 12, pp. 4938-4951, 2013. (IF = 10.6) |
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| [J8] W. Shao, A. Bouzerdoum, and S. L. Phung, “Sparse representation of GPR traces with application to signal classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 51. no. 7, pp. 3922-3930, 2013. (IF = 8.2) |
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| [J7] V. H. Tang, A. Bouzerdoum, and S. L. Phung, “Two-stage through-the-wall radar image formation using compressive sensing,” Journal of Electronic Imaging, vol. 22, no. 2, 2013, doi: 10.1117/1.JEI.22.2.021006. (IF = 1.1) |
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| [J6] C. H. Seng, A. Bouzerdoum, M. G. Amin, and S. L. Phung, “Two-stage fuzzy fusion with applications to through-the-wall radar imaging,” IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 4, pp. 687-691, 2013. (IF = 4.8) |
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[J5] W. Shao, A. Bouzerdoum, S. L. Phung , L. Su, B. Indraratna, and C. Rujikiatkamjorn, "Automatic
classification of ground penetrating radar signals for railway ballast assessment," IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 10, pp. 3961-3972, 2011. (IF = 8.2)
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| [J4] P. L. M. Bouttefroy, A. Bouzerdoum, S. L. Phung and A. Beghdadi, "Integrating the projective transform with particle filtering for visual tracking," EURASIP Journal on Image and Video Processing (Springer), vol. 2011, article ID 839412, pp. 1-11, doi:10.1155/2011/839412, 2011. (IF = 1.474) |
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| [J3] F. H. C. Tivive, A. Bouzerdoum, S. L. Phung, K. Iftekharuddin, “Adaptive hierarchical architecture for visual recognition,” Applied Optics, vol. 49, no. 10, pp. B1-B8, 2010. (IF = 1.9) |
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| [J2] S. L. Phung and A. Bouzerdoum, "A pyramidal neural network for visual pattern recognition," IEEE Transactions on Neural Networks, vol. 18, no. 2, pp. 329-343, 2007. (aka IEEE Transactions on Neural Networks and Learning Systems, IF = 10.4) |
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| [J1] S. L. Phung, A. Bouzerdoum, and D. Chai, "Skin segmentation using color pixel classification: Analysis and comparison," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 1, pp. 148-154, 2005. (Journal Impact Factor IF = 23.6) |
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Refereed Conference Proceedings
| 2023 |
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| [C58] Y. Di, S. L. Phung, J. van den Berg, J. Clissold, A. Bouzerdoum, "TP-YOLO: A Lightweight Attention-based Architecture for Tiny Pest Detection," IEEE Inter. Conf. on Image Processing (ICIP), 2023. |
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| [C57] T. T. P. Nguyen, S. L. Phung, V. Godpaldasani, J. Whitelaw, "Bilateral Coarse-to-Fine Network For Point Cloud Completion," IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2023. |
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| 2022 |
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| [C56] M. H. Phan, T. A. Ta, S. L. Phung, L. T. Tran, A. Bouzerdoum, "Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. |
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| [C55] T. D. Truong, Q. H. Bui, C. H. Duong, H. S. Seo, S. L. Phung, X. Li, K. Luu, "DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. |
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| 2021 |
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| [C54] T. D. Truong, C. N. Duong, N. Le, S. L. Phung, C. Rainwater, K. Luu, "BiMaL: Bijective maximum likelihood approach to domain adaptation in semantic scene segmentation," Proc. Inter. Conf. on Computer Vision (ICCV), 2021. |
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| [C53] S. P. Ang, S. L. Phung, A. Bouzerdoum, T. N .A. Nguyen,
S. T. M. Duong, and M. M. Schira, "Real-time pedestrian lane detection for assistive nagivation using neural architecture search," Proc. Inter. Conf. on Pattern Recognition (ICPR), pp. 8392-8399, 2020. |
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| [C523] M. H. Phan, S. L. Phung, and A. Bouzerdoum, "Ordinal depth classification using region-based self-attention," Proc. Inter. Conf. on Pattern Recognition (ICPR), pp. 3620-3627, 2020. |
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| [C51] X. Peng, A. Bouzerdoum, and S. L. Phung, "Infer the input to the generator of auxiliary classifier generative adversarial networks," Proc. IEEE Inter . Conf. on Image Processing (ICIP), 2020. |
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| [C50] V. H. Tang, A. Bouzerdoum, S. L. Phung, "A variational Bayesian approach for multichannel through-wall radar imaging with low-rank and sparse priors," Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2020. |
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| 2019 |
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| [C49] S. L. Phung, T. N. A. Nguyen, H. T. Le, P. B. Chapple, C. H. Ritz, A. Bouzerdoum, L. C. Tran, "Mine-like object sensing in sonar imagery with a compact deep learning architecture for scarce data," Proc. Inter. Conf. Digital Image Computing: Techniques and Applications (DICTA), 2019. |
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| [C48] V. H. Tang , A. Bouzerdoum, S. L. Phung, "Radar stationary and moving indoor target localization with low-rank and sparse regularizations," Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP) , pp. 2172-2176, 2019. |
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| 2018 |
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| [C47] H. T. Le, S. L. Phung, and A. Bouzerdoum, "Human gait recognition with micro-Doppler radar
and deep autoencoder," Proc. Inter. Conf. on Pattern Recognition (ICPR), 2018. |
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| [C46] S. T. M. Duong, M. M. Schira, S. L. Phung, A. Bouzerdoum, and H. G. B. Taylor, "Anotomy-guided inverse-gradient succeptibility artefact correction method for high-resolution fMRI," Proc. IEEE Inter. Conf. on Acoustic Acoustics, Speech and Signal Processing (ICASSP), 2018. |
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| [C45] T. N. A. Nguyen, A. Bouzerdoum, S. L. Phung, "Scalable hierarchical mixture of Gaussian processes for pattern classification," Proc. IEEE Inter. Conf. on Acoustic Acoustics, Speech and Signal Processing (ICASSP), 2018. |
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| [C44] V. H. Tang, A. Bouzerdoum, S. L. Phung, "A matrix completion approach for wall-clutter mitigation in compressive radar imaging of indoor targets," Proc. IEEE Inter. Conf. on Acoustic Acoustics, Speech and Signal Processing (ICASSP), 2018. |
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| [C43] H. T. Le, S. L. Phung, A. Bouzerdoum, and F. H. C. Tivive, "Human motion classification with micro-Doppler radar and Bayesian-optimized convolutional neural networks," Proc. IEEE Inter. Conf. on Acoustic Acoustics, Speech and Signal Processing (ICASSP), 2018. |
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| 2017 |
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| [C42] X. Peng, A. Bouzerdoum, and S. L. Phung , "An efficient local method for stereo matching using daisy features," Proc. IEEE Inter. Conf. on Image Processing , pp. 1-4, 2017. |
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| [C41] M. R. Khokher, A. Bouzerdoum, and S. L. Phung , "Human interaction recognition using low-rank matrix approximation and super descriptor tensor decomposition ," Proc. IEEE Inter. Conf. on Acoustic Acoustics, Speech and Signal Processing (ICASSP), pp. 1847-1851, 2017. |
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| [C401] L. Nguyen, S. L. Phung , and A. Bouzerdoum, "Enhanced pixel-wise voting for image vanishing point detection for road scenes," Proc. IEEE Inter. Conf. on Acoustic Acoustics, Speech and Signal Processing (ICASSP), pp. 1852-1856, 2017. |
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| [C39] V. H. Tang, A. Bouzerdoum, and S. L. Phung, "A low-rank and jointly-sparse approach for multipolarization through-wall radar imaging," Proc. IEEE Radar Conf. (RadarConf), pp. 263-268, 2017 . |
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| 2016 |
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| [C38] A. Nguyen, A. Bouzerdoum, and S. L. Phung, "Variational inference for infinite mixtures of sparse Gaussian processes through KL-correction," Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP), pp. 2579-2583, 2016. |
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| [C37] V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, “Radar imaging of stationary indoor targets using joint low-rank and sparsity constraints,” Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP), pp. 1412–1416, 2016. (Best Student Paper of Image, Video, and Multidimensional Signal Processing track) |
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| 2015 |
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| [C36] X. Wei, S. L. Phung, A. Bouzerdoum, and A. Bermak, “Invariant image recognition under projective deformations: An image normalization approach,” Proc. IEEE Inter. Conf. on Visual Communications and Image Processing (VCIP), pp. 1-4, 2015. |
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| [C35] V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, “Enhanced wall clutter mitigation for through-the-wall radar imaging using joint Bayesian sparse signal recovery,” Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
pp. 2419-2423,
2015. |
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| [C34] H. Zheng, A. Bouzerdoum, and S. L. Phung, "Depth image super-resolution using internal and external information," Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
pp. 1206-1210,
2015. |
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| 2014 |
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| [C33] M. C. Le, S. L. Phung, and A. Bouzerdoum, “Pedestrian lane detection in unstructured environments for assistive navigation,” Proc. Inter. Conf. on Digital Image Computing: Techniques and Applications (DICTA), pp. 146-153, 2014 (Best Recognition Paper Prize). |
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[C32] X. Wei, S. L. Phung, and A. Bouzerdoum, “Affine-invariant scene categorization,” Proc. IEEE Inter. Conf. on Image Processing (ICIP), pp. 1031-1035, 2014. |
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| Previous years |
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| [C31] M. C. Le, S. L. Phung, and A. Bouzerdoum, “Pedestrian lane detection for assistive navigation of blind people,” Proc. Inter. Conf. on Pattern Recognition (ICPR 2012), Tsukuba, Japan, 2012. |
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[C30] P. Li, A. Bouzerdoum, and S. L. Phung, “Adaptive autoregressive logarithmic search for 3D human tracking,” Proc. IEEE Inter. Conf. on Advanced Video and Signal Based Surveillance (AVSS), Beijing, China, 2012. |
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[C29] X. Wei, S. L. Phung, and A. Bouzerdoum, "Scene segmentation and pedestrian detection from 3-D range and intensity images," Proc. IEEE Conf. on Multimedia and Expo (ICME 2012), Melbourne, Australia, 2012 (Accepted 28/02/2012).
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[C28] J. Li, S. L. Phung, F. H. C. Tivive, A. Bouzerdoum, "Automatic classification of human motions using Doppler radar," Proc. IEEE-INNS Inter. Joint Conf. on Neural Networks (IJCNN 2012), Brisbane, Australia (Accepted 22/02/2012).
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| [C27] W. Shao, A. Bouzerdoum, S. L. Phung, "Sparse signal decomposition for ground penetrating radar," Proc. 2011 IEEE Radar Conf., pp. 453-457, 2011. |
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| [C26] C. Seng, A. Bouzerdoum, S. L. Phung & M. Amin, "A two-stage image fusion method for enhanced through-the-wall radar target detection," Proc. 2011 IEEE Radar Conf., pp. 643-647, 2011. |
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[C25] M. W. Nawaz, A. Bouzerdoum, S. L. Phung, "Optical flow estimation using sparse gradient representation," Proc. IEEE Inter. Conf. on Image Processing (ICIP 2011), pp. 2681-2684, Brussels, Belgium, 2011.
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| [C24] M. A. Kitchener, S. L. Phung, and A. Bouzerdoum , "Adaptive regulariztion for multiple image restoration using an extended total variations approach," Proc. IEEE Inter. Conf. on Image Processing (ICIP 2011), pp. 697-700, Brussels, Belgium, 2011. |
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[C23] X. Wei, S. L. Phung, and A. Bouzerdoum , "Pedestrian sensing using time-of-flight ranging camera," Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition Workshops , pp. 46-52, Colorado Springs, USA, 2011.
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| [C22] P. Li, S. L. Phung, A. Bouzerdoum, and F. H. C. Tivive, "Automatic recognition of smiling and neutral facial expressions," Proc. Inter. Conf. on Digital Image Computing: Techniques and Applications (DICTA 2010), Sydney, Australia, 2010. |
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| [C21] M. W. Nawaz, A. Bouzerdoum, and S. L. Phung, "Motion estimation with adaptive regularization and neighborhood dependent constraint," Proc. Inter. Conf. on Digital Image Computing: Techniques and Applications (DICTA 2010), Sydney , Australia , 2010. |
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[C20] M. Kitchener, A. Bouzerdoum, and S. L. Phung, "A compressive sensing approach to image restoration," Proc. Inter. Conf. on Digital Image Computing: Techniques and Applications (DICTA 2010), Sydney , Australia , 2010. |
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| [C19] H. Zheng, A. Bouzerdoum, and S. L. Phung, "Wavelet based nonlocal-means super-resolution for video sequences," Proc. IEEE Inter. Conf. on Image Processing (ICIP 2010), pp. 2817-2820, Hongkong, China, 2010. |
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| [C18] M. Kitchener, A. Bouzerdoum, and S. L. Phung, "Adaptive regularization for image restoration using a variational inequality approach," Proc. IEEE Inter. Conf. on Image Processing (ICIP 2010), pp. 2513-2516, Hongkong, China, 2010. |
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| [C17] P. Li, S. L. Phung, A. Bouzerdoum, and F. H. C. Tivive, "Improved facial expression recognition with trainable 2-D Filters and support vector machines," Proc. Inter. Conf. Pattern Recognition (ICPR 2010), pp. 3732-3735, Istanbul , Turkey , 2010. |
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| [C16] J. Yang, A. Bouzerdoum, and S. L. Phung, "A particle swarm optimization algorithm based on orthogonal design," Proc. IEEE Conf. on Evolutionary Computation (CEC 2010), pp. 593-599, Barcelona, Spain , 2010. |
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[C15] G. Nguyen, S. L. Phung, and A. Bouzerdoum, "Efficient SVM training with reduced weighted samples," Proc. IEEE-INNS Inter. Joint Conf. on Neural Networks (IJCNN 2010), pp. 1764-1768, Barcelona, Spain, 2010. |
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| [C14] W. Shao, A. Bouzerdoum, S. L. Phung, L. Su, B. Indraratna, C. Rujikiatkamjorn, "Automatic classification of GPR signals," Proc. Inter. Conf. on Ground Penetrating Radar (GPR 2010), pp. 1-6, Lecce, Italy, 2010. |
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| [C13] J. Yang, A. Bouzerdoum, S. L. Phung, "A training algorithm for sparse LS-SVM using compressive sampling," Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2010), pp. 2054-2057, Dallas, USA, 2010. |
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| [C12] C. H. Seng, A. Bouzerdoum, S. L. Phung, "Automatic parameter selection for feature-enhanced radar image restoration," Proc. IEEE Inter. Radar Conf., pp. 1123-1127, Washington DC , USA , 2010. |
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| [C11] P. L. M. Bouttefroy, A. Bouzerdoum, A. Beghdadi, S. L. Phung, "On the analysis of background subtraction techniques using Gaussian mixture models," Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2010), pp. 4042-4045, Dallas, USA, 2010 |
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| [C10] P. Bouttefroy, A. Bouzerdoum, S. L. Phung, A. Beghdadi, "Vehicle tracking using projective particle filter," Proc. IEEE Inter. Conf. on Advanced Video and Signal Based Surveillance (AVSS 2009), pp. 7-12, Genoa, Italy, September 2009 (Best Student Paper Award). |
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| [C9] J. Yang, A. Bouzerdoum and S. L. Phung. "A neural network pruning approach based on compressive sampling," Proc. IEEE Inter. Joint Conf. on Neural Networks (IJCNN 2009), pp. 3428-3435, Atlanta, Georgia, USA, June 2009. |
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| [C8] G. H. Nguyen, A. Bouzerdoum, and S. L. Phung, "A supervised learning approach for imbalanced data sets," Proc. Inter. Conf. on Pattern Recognition , pp. 1-4, Tampa, Florida, USA, December, 2008. |
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| [C7] G. H. Nguyen, A. Bouzerdoum and S. L. Phung, "Efficient supervised learning with reduced training exemplars," Proc. IEEE Inter. Joint Conf. on Neural Networks (IJCNN 2008), pp. 2980-2986, Hong Kong, June 2008. |
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[C6] S. L. Phung and A. Bouzerdoum, "Detecting people in images: an edge density approach", Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2007), vol. I, pp. 1229-1232, Hawaii, USA, April 15-20, 2007. |
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| [C5] S. L. Phung, A. Bouzerdoum, D. Chai, and A. Watson, “Naïve Bayes face/nonface classifier: a study of preprocessing and feature extraction techniques,” Proc. IEEE Inter. Conf. on Image Processing (ICIP2004) , September 2004. |
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| [C4] S. L. Phung, D. Chai, and A. Bouzerdoum, "Adaptive skin segmentation in color images," Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2003), pp. 353-356, Hong Kong, April 2003. |
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| [C3] S. L. Phung, A. Bouzerdoum, and D. Chai, "A novel skin color model in YCbCr color space and its application to human face detection," Proc. IEEE Inter. Conf. on Image Processing , (ICIP 2002), vol. 1, pp. 289-292, Rochester, New York, Sep. 2002. |
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| [C2] S. L. Phung, D. Chai, and A. Bouzerdoum, "Skin color-based face detection," Proc. Seventh Australian and New Zealand Intelligent Information Systems Conf. (ANZIIS 2001), pp. 171 176, Perth, November 2001 (Third Prize Student Paper Award). |
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| [C1] S. L. Phung, D. Chai, and A. Bouzerdoum, "A universal and robust human skin color model using neural networks," Proc. Inter. Joint Conf. on Neural Networks (IJCNN 2001), Washington DC, July 2001, vol. 4, pp. 2844 -2849. |
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Book chapters
| B5. M. C. Le, S. L. Phung, and A. Bouzerdoum, "Lane detection in unstructured environments for autonomous navigation systems," Lecture Notes in Computer Science, LNCS 9003 (editors: D. Cremers et al.), pp. 414-429, Springer-Verlag, Berlin Heidelberg, 2015. |
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B4. J. Yang, A. Bouzerdoum and S. L. Phung. "A new approach to sparse image representa tion using MMV and K-SVD," in Lecture Notes in Computer Science: Advanced Concepts for Intelligent Vision Systems (eds. J. Blanc-Talon et al.), vol. LCNS 5807, pp. 200-209, Springer-Verlag , Berlin Heidelberg , 2009. |
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| B3. G. H. Nguyen, A. Bouzerdoum and S. L. Phung, "Learning pattern classification tasks with imbalanced data sets," in Pattern Recognition , (ed. P. Y. Yin), pp. 193-208, IN-TECH Publishing, 2009. |
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| B2. W. Shao, G. Naghdy, and S. L. Phung, "Automatic image annotation for semantic image retrieval," Lecture Notes in Computer Science: Visual Information Processing (eds. G. Qiu et al.), vol. 4781, pp. 372-381, Springer-Verlag, Berlin Heidelberg, 2007. |
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| B1. S. L. Phung and A. Bouzerdoum, “Gender classification using a new pyramidal neural network,” Lecture Notes in Computer Science: Neural Information Processing (eds. I. King, J. Wang, L. Chan, and D. Wang), vol. 4233, Part II, pp. 207–216, Springer-Verlag, Berlin Heidelberg, 2006. |
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