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Stephen Marshall
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2020 – today
- 2024
- [j57]Christian Schott
, Andrea Milligan, Stephen Marshall
Immersive VR for K-12 experiential education - proposing a pedagogies, practicalities, and perspectives informed framework. Comput. Educ. X Real. 4: 100068 (2024) - [j56]Alexander Ulrichsen
Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1470-1484 (2024) - [i3]Simão da Graça Marto, Massimiliano Vasile, Andrew Campbell, Paul Murray, Stephen Marshall, Vasili Savitski:
Hyperspectral Lightcurve Inversion for Attitude Determination. CoRR abs/2401.05397 (2024) - 2023
- [j55]Guoliang Xie, Jinchang Ren
Self-attention enhanced deep residual network for spatial image steganalysis. Digit. Signal Process. 139: 104063 (2023) - [j54]Mohammed Q. Alkhatib
Tri-CNN: A Three Branch Model for Hyperspectral Image Classification. Remote. Sens. 15(2): 316 (2023) - [j53]Guoliang Xie
A Novel Gradient-guided Post-processing Method for Adaptive Image Steganography. Signal Process. 203: 108813 (2023) - [j52]Nour Aburaed
A Review of Spatial Enhancement of Hyperspectral Remote Sensing Imaging Techniques. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2275-2300 (2023) - [c68]Nour Aburaed, Mohammed Q. Alkhatib, Stephen Marshall, Jaime Zabalza, Hussain Al-Ahmad
Attention-Infused 3D-SRCNN for Hyperspectral Image Super Resolution. EUSIPCO 2023: 456-460 - [c67]Nour Aburaed, Mohammed Q. Alkhatib, Stephen Marshall, Jaime Zabalza, Hussain Al-Ahmad
Bayesian Hybrid Loss for Hyperspectral SISR Using 3D Wide Residual CNN. ICIP 2023: 2115-2119 - [c66]Nour Aburaed, Mohammed Q. Alkhatib, Stephen Marshall, Jaime Zabalza, Hussain Al-Ahmad
Hyperspectral Data Scarcity Problem from a Super Resolution Perspective: Data Augmentation Analysis and Scheme. IGARSS 2023: 5057-5056 - [c65]Matthew Gil
A Deep Learning Based Approach to Semantic Segmentation of Lung Tumour Areas in Gross Pathology Images. MIUA 2023: 18-32 - [c64]Jonathan Hoffman
Creating Elemental Characters: From Sparks to Fire. SIGGRAPH Talks 2023: 51:1-51:2 - [i2]Massimiliano Vasile, Lewis Walker, Andrew Campbell, Simão Marto, Paul Murray, Stephen Marshall, Vasili Savitski:
Space Object Identification and Classification from Hyperspectral Material Analysis. CoRR abs/2308.07481 (2023) - 2022
- [j51]Viet Khanh Ha
Multiscale Spatial Fusion and Regularization Induced Unsupervised Auxiliary Task CNN Model for Deep Super-Resolution of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4583-4598 (2022) - [c63]Nour Aburaed, Mohammed Q. Alkhatib, Stephen Marshall, Jaime Zabalza, Hussain Al-Ahmad:
A Comparative Study of Loss Functions for Hyperspectral SISR. EUSIPCO 2022: 484-487 - [c62]Jack Bringardner, Han-Chieh Chao, Edward J. Coyle
Level-up: Expand Undergraduate Research Capacity (and Serve Faculty) through Vertically Integrated Projects. FIE 2022: 1-4 - [c61]Nour Aburaed
SISR of Hyperspectral Remote Sensing Imagery Using 3D Encoder-Decoder RUNet Architecture. IGARSS 2022: 1516-1519 - 2021
- [j50]Guoliang Xie
A New Cost Function for Spatial Image Steganography Based on 2D-SSA and WMF. IEEE Access 9: 30604-30614 (2021) - [j49]Dina Ahmed Ragab
A framework for breast cancer classification using Multi-DCNNs. Comput. Biol. Medicine 131: 104245 (2021) - [j48]Fraser Macfarlane
Robust Object Detection in Colour Images Using a Multivariate Percentage Occupancy Hit-or-Miss Transform. Math. Morphol. Theory Appl. 5(1): 128-152 (2021) - [j47]Zhenyu Fang
Topological optimization of the DenseNet with pretrained-weights inheritance and genetic channel selection. Pattern Recognit. 109: 107608 (2021) - [j46]Fraser Macfarlane
Investigating the Effects of a Combined Spatial and Spectral Dimensionality Reduction Approach for Aerial Hyperspectral Target Detection Applications. Remote. Sens. 13(9): 1647 (2021) - [j45]Stuart Bennett
Compressive Sampling Using a Pushframe Camera. IEEE Trans. Computational Imaging 7: 1069-1079 (2021) - [j44]Suha Tuna
Iterative Enhanced Multivariance Products Representation for Effective Compression of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 59(11): 9569-9584 (2021) - [c60]Nour Aburaed
A Hybrid Rexception Network for COVID-19 Classification from Chest X-Ray Images. ICECS 2021: 1-5 - [c59]Nour Aburaed
3D Expansion of SRCNN for Spatial Enhancement of Hyperspectral Remote Sensing Images. ICSPIS 2021: 9-12 - 2020
- [j43]Samson Damilola Fabiyi
Varietal Classification of Rice Seeds Using RGB and Hyperspectral Images. IEEE Access 8: 22493-22505 (2020) - [j42]Zhenyu Fang
Triple loss for hard face detection. Neurocomputing 398: 20-30 (2020) - [j41]Zhenyu Fang
SAFDet: A Semi-Anchor-Free Detector for Effective Detection of Oriented Objects in Aerial Images. Remote. Sens. 12(19): 3225 (2020) - [c58]Marwa Chendeb El Rai, Nour Aburaed
Integrating Deep Learning with Active Contour Models in Remote Sensing Image Segmentation. ICECS 2020: 1-4
2010 – 2019
- 2019
- [j40]Adam Polak
Use of hyperspectral imaging for cake moisture and hardness prediction. IET Image Process. 13(7): 1152-1160 (2019) - [j39]Julius Tschannerl
MIMR-DGSA: Unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm. Inf. Fusion 51: 189-200 (2019) - [j38]He Sun
Superpixel based Feature Specific Sparse Representation for Spectral-Spatial Classification of Hyperspectral Images. Remote. Sens. 11(5): 536 (2019) - [j37]Stephen Marshall, Katharine Andrea Scott, Randall K. Scharien
Passive Microwave Melt Onset Retrieval Based on a Variable Threshold: Assessment in the Canadian Arctic Archipelago. Remote. Sens. 11(11): 1304 (2019) - [c57]Samson Damilola Fabiyi
Comparative Study of PCA and LDA for Rice Seeds Quality Inspection. AFRICON 2019: 1-4 - [c56]Guoliang Xie, Jinchang Ren, Huimin Zhao, Sophia Zhao, Stephen Marshall
Evaluation of Deep Learning and Conventional Approaches for Image Steganalysis. BICS 2019: 342-352 - [c55]Yuren Liu, Yijun Yan
Sequence Similarity Alignment Algorithm in Bioinformatics: Techniques and Challenges. BICS 2019: 550-560 - 2018
- [j36]Yijun Yan
Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos. Cogn. Comput. 10(1): 94-104 (2018) - [j35]Christian Schott
Virtual reality and situated experiential education: A conceptualization and exploratory trial. J. Comput. Assist. Learn. 34(6): 843-852 (2018) - [j34]Tong Qiao, Zhijing Yang, Jinchang Ren
Joint bilateral filtering and spectral similarity-based sparse representation: A generic framework for effective feature extraction and data classification in hyperspectral imaging. Pattern Recognit. 77: 316-328 (2018) - [j33]Yijun Yan
Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement. Pattern Recognit. 79: 65-78 (2018) - [c54]Fraser Macfarlane
A Colour Hit-or-Miss Transform Based on a Rank Ordered Distance Measure. EUSIPCO 2018: 588-592 - [c53]Julius Tschannerl, Jinchang Ren, Jaime Zabalza
Segmented Autoencoders for Unsupervised Embedded Hyperspectral Band Selection. EUVIP 2018: 1-6 - [i1]Chigozie Nwankpa, Winifred Ijomah, Anthony Gachagan, Stephen Marshall:
Activation Functions: Comparison of trends in Practice and Research for Deep Learning. CoRR abs/1811.03378 (2018) - 2017
- [j32]Syed Muhammad Zaigham Abbas Shah, Stephen Marshall
Removal of specular reflections from image sequences using feature correspondences. Mach. Vis. Appl. 28(3-4): 409-420 (2017) - [j31]Faxian Cao
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification. Remote. Sens. 9(12): 1255 (2017) - [j30]Siti Salwa Md Noor, Jinchang Ren
Hyperspectral Image Enhancement and Mixture Deep-Learning Classification of Corneal Epithelium Injuries. Sensors 17(11): 2644 (2017) - [j29]Tong Qiao, Jinchang Ren
Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis. IEEE Trans. Geosci. Remote. Sens. 55(1): 119-133 (2017) - [c52]Zhenyu Fang, He Sun, Jinchang Ren
3D Sensing Techniques for Multimodal Data Analysis and Integration in Smart and Autonomous Systems. CSPS 2017: 582-590 - [c51]Neha Mathur
Error model of misalignment error in a radial 3D scanner. IEEE SENSORS 2017: 1-3 - [c50]Bert Berry, David Bianchi, Stephen Marshall, George Nguyen, Paul Oakley, Sudeep Rangaswamy, Frank Tai:
Crazy eight: the making of a race sequence in Disney/Pixar's "Cars 3". SIGGRAPH Production Sessions 2017: 6 - [c49]Stephen Marshall, Tim Speltz, Greg Gladstone, Krzysztof Rost, Jon Reisch:
Racing to the finish line: effects challenges on Cars 3. SIGGRAPH Talks 2017: 32:1-32:2 - 2016
- [j28]Jaime Zabalza
Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging. Neurocomputing 185: 1-10 (2016) - [c48]Siti Salwa Md Noor, Kaleena Michael, Stephen Marshall
The properties of the cornea based on hyperspectral imaging: Optical biomedical engineering perspective. IWSSIP 2016: 1-4 - [c47]Hai Vu
Spatial and spectral features utilization on a Hyperspectral imaging system for rice seed varietal purity inspection. RIVF 2016: 169-174 - [c46]Jon Reisch, Stephen Marshall, Magnus Wrenninge, Tolga Göktekin, Michael Hall, Michael K. O'Brien, Jason Johnston, Jordan Rempel, Andy Lin:
Simulating rivers in the good dinosaur. SIGGRAPH Talks 2016: 40:1 - 2015
- [j27]Tong Qiao, Jinchang Ren
Singular spectrum analysis for improving hyperspectral imaging based beef eating quality evaluation. Comput. Electron. Agric. 115: 21-25 (2015) - [j26]Jaime Zabalza
Fast Implementation of Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2845-2853 (2015) - [j25]Jaime Zabalza
Novel Two-Dimensional Singular Spectrum Analysis for Effective Feature Extraction and Data Classification in Hyperspectral Imaging. IEEE Trans. Geosci. Remote. Sens. 53(8): 4418-4433 (2015) - [c45]Jaime Zabalza
'On the fly' dimensionality reduction for hyperspectral image acquisition. EUSIPCO 2015: 749-753 - [c44]Trung-Kien Dao
Automatic cattle location tracking using image processing. EUSIPCO 2015: 2636-2640 - [c43]Stephen Marshall
Hyperspectral imaging for food applications. EUSIPCO 2015: 2854-2858 - 2014
- [j24]Jaime Zabalza
Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging. IEEE Geosci. Remote. Sens. Lett. 11(11): 1886-1890 (2014) - [j23]Xuexing Zeng, Jinchang Ren
Copulas for statistical signal processing (Part II): Simulation, optimal selection and practical applications. Signal Process. 94: 681-690 (2014) - [j22]Xuexing Zeng, Jinchang Ren
Copulas for statistical signal processing (Part I): Extensions and generalization. Signal Process. 94: 691-702 (2014) - [j21]Jinchang Ren
Effective Feature Extraction and Data Reduction in Remote Sensing Using Hyperspectral Imaging [Applications Corner]. IEEE Signal Process. Mag. 31(4): 149-154 (2014) - [c42]Fraser K. Coutts, Stephen Marshall, Paul Murray:
Human detection and tracking through temporal feature recognition. EUSIPCO 2014: 2180-2184 - [c41]Jaime Zabalza
Singular Spectrum Analysis for effective noise removal and improved data classification in Hyperspectral Imaging. WHISPERS 2014: 1-4 - 2013
- [j20]Timothy Kelman, Jinchang Ren
Effective classification of Chinese tea samples in hyperspectral imaging. Artif. Intell. Res. 2(4): 87-96 (2013) - [c40]Aravinda S. Rao
Design of low-cost autonomous water quality monitoring system. ICACCI 2013: 14-19 - 2012
- [j19]Haidawati Nasir, Vladimir Stankovic
Singular value decomposition based fusion for super-resolution image reconstruction. Signal Process. Image Commun. 27(2): 180-191 (2012) - 2011
- [c39]Mahmuda Khatun, Alison J. Gray, Stephen Marshall:
Morphological granulometry for classification of evolving and ordered texture images. EUSIPCO 2011: 759-763 - [c38]Paul Murray, Stephen Marshall:
A fast method for computing the output of rank order filters within arbitrarily shaped windows. EUSIPCO 2011: 1668-1672 - [c37]Kevin Gill, Jinchang Ren, Stephen Marshall, Suvitha Karthick, John R. Gilchrist:
Quality-assured fingerprint image enhancement and extraction using hyperspectral imaging. ICDP 2011: 1-6 - [c36]Haidawati Nasir, Vladimir Stankovic
Singular value decomposition based fusion for super-resolution image reconstruction. ICSIPA 2011: 393-398 - [c35]Mahmuda Khatun, Alison J. Gray
Classification of Ordered Texture Images Using Regression Modelling and Granulometric Features. IMVIP 2011: 64-69 - 2010
- [c34]Haidawati Nasir, Vladimir Stankovic, Stephen Marshall:
Image registration for super resolution using scale invariant feature transform, belief propagation and random sampling consensus. EUSIPCO 2010: 299-303
2000 – 2009
- 2009
- [j18]Eusebio Scornavacca Jr.
Mobile phones in the classroom: if you can't beat them, join them. Commun. ACM 52(4): 142-146 (2009) - [j17]Tarek A. Mahmoud
Document image sharpening using a new extension of the aperture filter. Signal Image Video Process. 3(4): 403-419 (2009) - [c33]Paul Murray, Stephen Marshall, E. Bullinger:
The Percentage Occupancy Hit or Miss Transform. EUSIPCO 2009: 253-257 - [c32]Le Yu, Stephen Marshall
The partition of temporal gene expression sequence using discrete wavelet transform for modelling. GENSiPS 2009: 1-4 - [c31]Le Yu, Steven Watterson, Stephen Marshall, Peter Ghazal
Inference of transition probabilities between the attractors in Boolean networks with perturbation. GENSiPS 2009: 1-4 - 2008
- [j16]Tarek A. Mahmoud
Edge-Detected Guided Morphological Filter for Image Sharpening. EURASIP J. Image Video Process. 2008 (2008) - [c30]Tarek A. Mahmoud, Stephen Marshall:
Medical image enhancement using threshold decomposition driven adaptive morphological filter. EUSIPCO 2008: 1-5 - 2007
- [j15]Le Yu, Stephen Marshall:
Inferring context-sensitive Probabilistic Boolean Networks from gene expression data under multi-biological conditions. BMC Syst. Biol. 1(S-1): P63 (2007) - [j14]Stephen Marshall
Inference of a Probabilistic Boolean Network from a Single Observed Temporal Sequence. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [c29]Robin J. Bruce, Caroline Ruet, Stephen Marshall, Malachy Devlin:
Minimum entropy restoration using FPGAs and high-level techniques. EUSIPCO 2007: 1014-1018 - [c28]Jakub Chlapinski, Stephen Marshall:
Releasing aperture filter constraints. EUSIPCO 2007: 1492-1496 - [c27]Eusebio Scornavacca Jr.
TXT-2-LRN: improving students' learning exper ience in the classroom through interactive SMS. HICSS 2007: 5 - [c26]Tarek A. Mahmoud, Stephen Marshall:
Threshold decomposition driven adaptive morphological filter for image sharpening. VISAPP (1) 2007: 40-45 - 2006
- [c25]Stephen Marshall, Le Yu:
A method for analysing gene expression data temporal sequence using Probabalistic Boolean Networks. EUSIPCO 2006: 1-5 - [c24]Zhe Wang, Stephen Marshall:
Dual watermarking algorithm exploiting the logarithmic characteristic of the Human eye's sensitivity to luminance. EUSIPCO 2006: 1-5 - [c23]Robin J. Bruce, Richard Chamberlain, Malachy Devlin, Stephen Marshall
Poster reception - Implementing algorithms on FPGAs using high-level languages and low-level libraries. SC 2006: 153 - 2005
- [j13]Le Yu, Stephen Marshall:
A Method of Gene Expression Data Partitioning for the Construction of Context-Sensitive PBNs. BMC Bioinform. 6(S-3) (2005) - [c22]Tim Wright, James Noble, Stephen Marshall:
Tim Wright James Noble Stephen Marshall. ACE 2005: 187-192 - 2004
- [j12]Giovanni L. Sicuranza
Editorial. EURASIP J. Adv. Signal Process. 2004(16): 2397-2399 (2004) - [j11]Alan C. Green, Edward R. Dougherty, Stephen Marshall
Optimal Filters with Multiresolution Apertures. J. Math. Imaging Vis. 20(3): 237-250 (2004) - [c21]Stephen Marshall, Geoff Mitchell:
Applying SPICE to e-Learning: An e-Learning Maturity Model? ACE 2004: 185-191 - [c20]James Noble, Stuart Marshall, Stephen Marshall, Robert Biddle:
Less Extreme Programming. ACE 2004: 217-226 - [c19]Stephen Marshall, Edward R. Dougherty:
New challenges in non-linear signal and image processing. EUSIPCO 2004: 1883-1886 - 2003
- [j10]J. McKenzie, Stephen Marshall
Morphological Texture Analysis Using the Texture Evolution Function. Int. J. Pattern Recognit. Artif. Intell. 17(2): 167-186 (2003) - [j9]Alan C. Green, Stephen Marshall
Design of multi-mask aperture filters. Signal Process. 83(9): 1961-1971 (2003) - [j8]M. S. Hamid, Neal R. Harvey, Stephen Marshall
Genetic algorithm optimization of multidimensional grayscale soft morphological filters with applications in film archive restoration. IEEE Trans. Circuits Syst. Video Technol. 13(5): 406-416 (2003) - [j7]M. S. Hamid, Neal R. Harvey, Stephen Marshall:
Corrections to "Genetic algorithm optimization of multidimensional grayscale soft morphological filters with applications in film archive restoration". IEEE Trans. Circuits Syst. Video Technol. 13(7): 726 (2003) - 2002
- [c18]Virginie Fresse, Stephen Marshall, Olivier Déforges:
A high-level development tool dedicated to the generation of cores for the implementation of image processing applications. EUSIPCO 2002: 1-4 - [c17]Stephen Marshall:
Optimum non linear document restoration through linear greyscale operators. EUSIPCO 2002: 1-4 - 2000
- [j6]Neal R. Harvey, Stephen Marshall:
Defect detection from scratched 2 in. quadruplex video tape. J. Electronic Imaging 9(2): 203-216 (2000) - [j5]David Greenhalgh, Stephen Marshall:
Convergence Criteria for Genetic Algorithms. SIAM J. Comput. 30(1): 269-282 (2000) - [c16]Stephen Marshall, Neal R. Harvey, David Greenhalgh:
Design of morphological filters using genetic algorithms. EUSIPCO 2000: 1-4 - [c15]Wei Yi, Stephen Marshall:
A novel approach for automatic aircraft detection. EUSIPCO 2000: 1-4 - [c14]Neal R. Harvey, Stephen Marshall:
GA Optimisation of Multidimensional Grey-Scale Soft Morphological Filters with Applications in Archive Film Restoration. ISMM 2000: 129-138
1990 – 1999
- 1999
- [j4]Giovanni Ramponi, Stephen Marshall:
Guest Editorial: Special Section on Nonlinear and Model-Based Image Analysis. J. Electronic Imaging 8(3): 217-218 (1999) - [j3]Druti Shah, Stephen Marshall:
Processing of audio and visual speech for telecommunication systems. J. Electronic Imaging 8(3): 263-269 (1999) - [c13]Neal R. Harvey, Stephen Marshall:
GA Optimisation of Spatio-Temporal Grey-Scale Soft Morphological Filters with Applications in Archive Film Restoration. EvoWorkshops 1999: 31-45 - [c12]Neal R. Harvey, Stephen Marshall:
Restoration of archive film material using multi-dimensional soft morphological filters. NSIP 1999: 811-815 - 1998
- [c11]Neil Woolfries, Patrick Lysaght, Stephen Marshall, Gordon Charles McGregor, David Robinson:
Fast Adaptive Image Processing in FPGAs Using Stack Filters. FPL 1998: 406-410 - [c10]Druti Shah, Stephen Marshall:
Parametric method for tracking and analysing lip movements. NMBIA 1998: 158-163 - [c9]Neil Woolfries, Patrick Lysaght, Stephen Marshall, Gordon Charles McGregor, David Robinson:
Non Linear Image Processing on Field Programmable Gate Arrays. NMBIA 1998: 301-306 - [e1]Stephen Marshall, Neal R. Harvey, Druti Shah:
Noblesse Workshop on Non-Linear Model Based Image Analysis, NMBIA 1998, 1.3 July 1998, Glasgow, UK. Springer 1998, ISBN 978-3-540-76258-4 [contents] - 1997
- [j2]Peter Kraft, Neal R. Harvey, Stephen Marshall:
Parallel genetic algorithms in the optimization of morphological filters: a general design tool. J. Electronic Imaging 6(4): 504-516 (1997) - [c8]Neal R. Harvey, Stephen Marshall:
Application of Non-Linear Image Processing: Digital Video Archive Restoration. ICIP (1) 1997: 731-734 - 1996
- [j1]Neal R. Harvey, Stephen Marshall:
The use of genetic algorithms in morphological filter design. Signal Process. Image Commun. 8(1): 55-71 (1996) - [c7]Neal R. Harvey, Stephen Marshall:
Grey-Scale Soft Morphological Filter Optimization by Genetic Algorithms. ISMM 1996: 179-186 - 1994
- [c6]Neal R. Harvey, Stephen Marshall:
Using Genetic Algorithms in the Design of Morphological Filters. ISMM 1994: 53-59 - 1993
- [c5]Druti Shah, Stephen Marshall, W. J. Welsh:
Principal component coding of mouth sequences. ICASSP (5) 1993: 373-376 - 1991
- [c4]Stephen Marshall:
Image Coding Based on Contour Models. BMVC 1991: 1-4
1980 – 1989
- 1988
- [c3]N. Saeed, Tariq S. Durrani, Stephen Marshall:
Automatic Extraction of High Texture Features used for Patient Realignment in Medical Imaging of the Head. Alvey Vision Conference 1988: 1-6 - [c2]Stephen Marshall, John J. Soraghan:
Shape analysis for object recognition using number theoretic transforms. ICASSP 1988: 964-967 - 1986
- [c1]Stephen Marshall, Roy Chapman, Tariq S. Durrani, Louis L. Scharf:
Contour coding of images. ICASSP 1986: 1009-1012
Coauthor Index
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