default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichael W. Spratling
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j36]Nikolay Manchev
, Michael W. Spratling:
Learning multi-modal recurrent neural networks with target propagation. Comput. Intell. 40(4) (2024)- [j35]Maxime Fontana, Michael W. Spratling, Miaojing Shi:
When Multitask Learning Meets Partial Supervision: A Computer Vision Review. Proc. IEEE 112(6): 516-543 (2024) - [j34]Haoyan Guan, Michael W. Spratling:
Query semantic reconstruction for background in few-shot segmentation. Vis. Comput. 40(2): 799-810 (2024) - [c11]Lin Li, Haoyan Guan, Jianing Qiu, Michael W. Spratling:
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-Trained Vision-Language Models. CVPR 2024: 24408-24419 - [c10]Lin Li, Yifei Wang, Chawin Sitawarin, Michael W. Spratling:
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 - [i18]Lin Li, Haoyan Guan, Jianing Qiu, Michael W. Spratling:
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models. CoRR abs/2403.01849 (2024) - [i17]Chaoqin Huang, Haoyan Guan, Aofan Jiang, Yanfeng Wang, Michael W. Spratling, Xinchao Wang, Ya Zhang:
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning. CoRR abs/2406.08810 (2024) - 2023
- [j33]Lin Li, Michael W. Spratling:
Understanding and combating robust overfitting via input loss landscape analysis and regularization. Pattern Recognit. 136: 109229 (2023) - [j32]Bo Gao, Michael W. Spratling:
Explaining away results in more robust visual tracking. Vis. Comput. 39(5): 2081-2095 (2023) - [c9]Jinlai Ning, Michael W. Spratling:
The Importance of Anti-Aliasing in Tiny Object Detection. ACML 2023: 975-990 - [c8]Lin Li, Michael W. Spratling:
Data augmentation alone can improve adversarial training. ICLR 2023 - [c7]Jinlai Ning, Haoyan Guan, Michael W. Spratling:
Rethinking the Backbone Architecture for Tiny Object Detection. VISIGRAPP (5: VISAPP) 2023: 103-114 - [i16]Lin Li, Michael W. Spratling:
Data Augmentation Alone Can Improve Adversarial Training. CoRR abs/2301.09879 (2023) - [i15]Jinlai Ning, Haoyan Guan, Michael W. Spratling:
Rethinking the backbone architecture for tiny object detection. CoRR abs/2303.11267 (2023) - [i14]Lin Li, Michael W. Spratling:
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing. CoRR abs/2303.14077 (2023) - [i13]Lin Li, Jianing Qiu, Michael W. Spratling:
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation. CoRR abs/2306.07197 (2023) - [i12]Maxime Fontana, Michael W. Spratling, Miaojing Shi:
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review. CoRR abs/2307.14382 (2023) - [i11]Michael W. Spratling:
Comprehensive Assessment of the Performance of Deep Learning Classifiers Reveals a Surprising Lack of Robustness. CoRR abs/2308.04137 (2023) - [i10]Lin Li, Yifei Wang, Chawin Sitawarin, Michael W. Spratling:
OODRobustBench: benchmarking and analyzing adversarial robustness under distribution shift. CoRR abs/2310.12793 (2023) - [i9]Jinlai Ning, Michael W. Spratling:
The Importance of Anti-Aliasing in Tiny Object Detection. CoRR abs/2310.14221 (2023) - 2022
- [j31]Bo Gao, Michael W. Spratling:
Shape-Texture Debiased Training for Robust Template Matching. Sensors 22(17): 6658 (2022) - [j30]Bo Gao, Michael W. Spratling:
More robust object tracking via shape and motion cue integration. Signal Process. 199: 108628 (2022) - [c6]Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Yanfeng Wang:
Registration Based Few-Shot Anomaly Detection. ECCV (24) 2022: 303-319 - [c5]Haoyan Guan, Michael W. Spratling:
CobNet: Cross Attention on Object and Background for Few-Shot Segmentation. ICPR 2022: 39-45 - [i8]Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Yanfeng Wang:
Registration based Few-Shot Anomaly Detection. CoRR abs/2207.07361 (2022) - [i7]Haoyan Guan, Michael W. Spratling:
CobNet: Cross Attention on Object and Background for Few-Shot Segmentation. CoRR abs/2210.11968 (2022) - [i6]Haoyan Guan, Michael W. Spratling:
Query Semantic Reconstruction for Background in Few-Shot Segmentation. CoRR abs/2210.12055 (2022) - [i5]Nikolay Manchev, Michael W. Spratling:
On the biological plausibility of orthogonal initialisation for solving gradient instability in deep neural networks. CoRR abs/2211.08408 (2022) - [i4]Lin Li, Michael W. Spratling:
Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization. CoRR abs/2212.04985 (2022) - 2020
- [j29]Nikolay Manchev, Michael W. Spratling:
Target Propagation in Recurrent Neural Networks. J. Mach. Learn. Res. 21: 7:1-7:33 (2020) - [j28]Michael W. Spratling:
Explaining away results in accurate and tolerant template matching. Pattern Recognit. 104: 107337 (2020) - [i3]Bo Gao, Michael W. Spratling:
Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNN. CoRR abs/2007.15817 (2020)
2010 – 2019
- 2019
- [i2]Michael W. Spratling:
Explaining Away Results in Accurate and Tolerant Template Matching. CoRR abs/1911.04169 (2019) - 2018
- [j27]Ismail Emre Kartoglu, Michael W. Spratling:
Two collaborative filtering recommender systems based on sparse dictionary coding. Knowl. Inf. Syst. 57(3): 709-720 (2018) - [j26]Qi Wang, Michael W. Spratling:
Contour detection refined by a sparse reconstruction-based discrimination method. Signal Image Video Process. 12(2): 207-214 (2018) - 2017
- [j25]Muhammad Wasif, Michael W. Spratling:
A neural model for eye-head-arm coordination. Adv. Robotics 31(12): 650-663 (2017) - [j24]Michael W. Spratling:
A Hierarchical Predictive Coding Model of Object Recognition in Natural Images. Cogn. Comput. 9(2): 151-167 (2017) - [j23]Muhammad Wasif, Michael W. Spratling:
A Neural Model of Coordinated Head and Eye Movement Control. J. Intell. Robotic Syst. 85(1): 107-126 (2017) - [c4]Daniele Re, Agostino Gibaldi, Silvio P. Sabatini, Michael W. Spratling:
An Integrated System based on Binocular Learned Receptive Fields for Saccade-vergence on Visually Salient Targets. VISIGRAPP (6: VISAPP) 2017: 204-215 - 2016
- [j22]Qi Wang, Michael W. Spratling:
Contour Detection in Colour Images Using a Neurophysiologically Inspired Model. Cogn. Comput. 8(6): 1027-1035 (2016) - [j21]Michael W. Spratling:
A neural implementation of Bayesian inference based on predictive coding. Connect. Sci. 28(4): 346-383 (2016) - [j20]Michael W. Spratling:
Predictive coding as a model of cognition. Cogn. Process. 17(3): 279-305 (2016) - [j19]Michael W. Spratling:
A neural implementation of the Hough transform and the advantages of explaining away. Image Vis. Comput. 52: 15-24 (2016) - [j18]Qi Wang, Michael W. Spratling:
A simplified texture gradient method for improved image segmentation. Signal Image Video Process. 10(4): 679-686 (2016) - [i1]Toni Heidenreich, Michael W. Spratling:
A three-dimensional approach to Visual Speech Recognition using Discrete Cosine Transforms. CoRR abs/1609.01932 (2016) - 2015
- [j17]Muhammad Wasif, Michael W. Spratling:
A neural model of binocular saccade planning and vergence control. Adapt. Behav. 23(5): 265-282 (2015) - 2014
- [j16]Michael W. Spratling:
Classification using sparse representations: a biologically plausible approach. Biol. Cybern. 108(1): 61-73 (2014) - [j15]Michael W. Spratling:
A single functional model of drivers and modulators in cortex. J. Comput. Neurosci. 36(1): 97-118 (2014) - [r1]Michael W. Spratling:
Predictive Coding. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j14]Michael W. Spratling:
Image Segmentation Using a Sparse Coding Model of Cortical Area V1. IEEE Trans. Image Process. 22(4): 1631-1643 (2013) - 2012
- [j13]Michael W. Spratling:
Predictive coding accounts for V1 response properties recorded using reverse correlation. Biol. Cybern. 106(1): 37-49 (2012) - [j12]Michael W. Spratling:
Unsupervised Learning of Generative and Discriminative Weights Encoding Elementary Image Components in a Predictive Coding Model of Cortical Function. Neural Comput. 24(1): 60-103 (2012) - [j11]Michael W. Spratling:
Predictive coding as a model of the V1 saliency map hypothesis. Neural Networks 26: 7-28 (2012) - 2011
- [j10]Kris De Meyer, Michael W. Spratling:
Multiplicative Gain Modulation Arises Through Unsupervised Learning in a Predictive Coding Model of Cortical Function. Neural Comput. 23(6): 1536-1567 (2011)
2000 – 2009
- 2009
- [j9]Michael W. Spratling, Kris De Meyer, Raul Kompass:
Unsupervised Learning of Overlapping Image Components Using Divisive Input Modulation. Comput. Intell. Neurosci. 2009: 381457:1-381457:19 (2009) - [j8]Michael W. Spratling:
Learning Posture Invariant Spatial Representations Through Temporal Correlations. IEEE Trans. Auton. Ment. Dev. 1(4): 253-263 (2009) - 2008
- [j7]Michael W. Spratling:
Reconciling predictive coding and biased competition models of cortical function. Frontiers Comput. Neurosci. 2: 4 (2008) - 2006
- [j6]Michael W. Spratling:
Learning Image Components for Object Recognition. J. Mach. Learn. Res. 7: 793-815 (2006) - 2005
- [j5]Michael W. Spratling:
Learning Viewpoint Invariant Perceptual Representations from Cluttered Images. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 753-761 (2005) - 2004
- [j4]Michael W. Spratling, M. H. Johnson:
Neural coding strategies and mechanisms of competition. Cogn. Syst. Res. 5(2): 93-117 (2004) - 2003
- [j3]Michael W. Spratling, M. H. Johnson:
Exploring the functional significance of dendritic inhibition in cortical pyramidal cells. Neurocomputing 52-54: 389-395 (2003) - 2002
- [j2]Michael W. Spratling, M. H. Johnson:
Preintegration Lateral Inhibition Enhances Unsupervised Learning. Neural Comput. 14(9): 2157-2179 (2002) - 2000
- [j1]Michael W. Spratling, Gillian M. Hayes:
Learning Synaptic Clusters for Nonlinear Dendritic Processing. Neural Process. Lett. 11(1): 17-27 (2000)
1990 – 1999
- 1999
- [b1]Michael W. Spratling:
Artificial ontogenesis : a connectionist model of development. University of Edinburgh, UK, 1999 - 1998
- [c3]Michael W. Spratling, Gillian Hayes:
A self-organising neural network for modelling cortical development. ESANN 1998: 333-338 - [c2]Michael W. Spratling, Gillian Hayes:
Learning sensory-motor cortical mappings without training. ESANN 1998: 339-344 - 1996
- [c1]Michael W. Spratling, Roberto Cipolla:
Uncalibrated Visual Servoing. BMVC 1996: 1-10
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 20:38 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
