| How Much Position Information Do Convolutional Neural Networks Encode? M Amirul Islam, S Jia, NDB Bruce ICLR 2020, arXiv: 2001.08248, 2020 | 394* | 2020 |
| Eml-net: An expandable multi-layer network for saliency prediction S Jia, NDB Bruce arXiv preprint arXiv:1805.01047, 2018 | 173 | 2018 |
| Women are seen more than heard in online newspapers S Jia, T Lansdall-Welfare, S Sudhahar, C Carter, N Cristianini PloS one 11 (2), e0148434, 2016 | 118 | 2016 |
| Learning to classify gender from four million images S Jia, N Cristianini Pattern recognition letters 58, 35-41, 2015 | 91 | 2015 |
| Saliency-based deep convolutional neural network for no-reference image quality assessment S Jia, Y Zhang Multimedia Tools and Applications 77, 14859-14872, 2018 | 71 | 2018 |
| Shape or texture: Understanding discriminative features in cnns MA Islam, M Kowal, P Esser, S Jia, B Ommer, KG Derpanis, N Bruce arXiv preprint arXiv:2101.11604, 2021 | 69 | 2021 |
| Gender classification by deep learning on millions of weakly labelled images S Jia, T Lansdall-Welfare, N Cristianini 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 66 | 2016 |
| Position, padding and predictions: A deeper look at position information in cnns MA Islam, M Kowal, S Jia, KG Derpanis, NDB Bruce International Journal of Computer Vision, 1-22, 2024 | 65 | 2024 |
| Global pooling, more than meets the eye: Position information is encoded channel-wise in cnns MA Islam, M Kowal, S Jia, KG Derpanis, NDB Bruce Proceedings of the IEEE/CVF International conference on computer vision, 793-801, 2021 | 34 | 2021 |
| Blind high dynamic range image quality assessment using deep learning S Jia, Y Zhang, D Agrafiotis, D Bull 2017 IEEE International Conference on Image Processing (ICIP), 765-769, 2017 | 33 | 2017 |
| How much position information do convolutional neural networks encode? arXiv 2020 MA Islam, S Jia, ND Bruce arXiv preprint arXiv:2001.08248, 2001 | 28 | 2001 |
| Right for the Right Reason: Training Agnostic Networks S Jia, T Lansdall-Welfare, N Cristianini International Symposium on Intelligent Data Analysis, 2018 | 27 | 2018 |
| Richer and deeper supervision network for salient object detection S Jia, NDB Bruce arXiv preprint arXiv:1901.02425, 2019 | 26 | 2019 |
| Measuring gender bias in news images S Jia, T Lansdall-Welfare, N Cristianini Proceedings of the 24th International Conference on World Wide Web, 893-898, 2015 | 23 | 2015 |
| Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve S Jia, NDB Bruce Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 4 | 2020 |
| Boundary effects in CNNs: Feature or bug? MA Islam, M Kowal, S Jia, KG Derpanis, N Bruce | 3 | 2021 |
| Time series analysis of garment distributions via street webcam S Jia, T Lansdall-Welfare, N Cristianini International Conference on Image Analysis and Recognition, 765-773, 2016 | 3 | 2016 |
| Freudian slips: Analysing the internal representations of a neural network from its mistakes S Jia, T Lansdall-Welfare, N Cristianini Advances in Intelligent Data Analysis XVI: 16th International Symposium, IDA …, 2017 | 2 | 2017 |
| Simpler does it: Generating semantic labels with objectness guidance MA Islam, M Kowal, S Jia, KG Derpanis, NDB Bruce arXiv preprint arXiv:2110.10335, 2021 | 1 | 2021 |
| Artificial intelligence device for harvesting data from unlabeled sources and control method thereof H Fashandi, S Jia US Patent App. 18/439,442, 2024 | | 2024 |
Neil BruceSchool of Computer Science, University of GuelphVerified email at uoguelph.ca
