| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge arXiv preprint arXiv:1811.02629, 2018 | 569 | 2018 |
| CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images S Guo, W Huang, H Zhang, C Zhuang, D Dong, MR Scott, D Huang Proceedings of the European Conference on Computer Vision (ECCV), 139-154, 2018 | 132 | 2018 |
| Places205-vggnet models for scene recognition L Wang, S Guo, W Huang, Y Qiao arXiv preprint arXiv:1508.01667, 2015 | 114 | 2015 |
| Knowledge guided disambiguation for large-scale scene classification with multi-resolution CNNs L Wang, S Guo, W Huang, Y Xiong, Y Qiao IEEE Transactions on Image Processing 26 (4), 2055-2068, 2017 | 105 | 2017 |
| Locally supervised deep hybrid model for scene recognition S Guo, W Huang, L Wang, Y Qiao IEEE transactions on image processing 26 (2), 808-820, 2016 | 66 | 2016 |
| Boundedness on Morrey space for Toeplitz type operator associated to singular integral operator with variable Calderón–Zygmund kernel C Huang, S Guo, L Liu Journal of Mathematical Inequalities 8 (3 (2014)), 453–464, 2014 | 37 | 2014 |
| The iMaterialist Fashion Attribute Dataset S Guo, W Huang, X Zhang, P Srikhanta, Y Cui, Y Li, MR Scott, H Adam, ... Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019 | 21 | 2019 |
| Better exploiting os-cnns for better event recognition in images L Wang, Z Wang, S Guo, Y Qiao Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 21 | 2015 |
| Wavelet Integrated CNNs for Noise-Robust Image Classification Q Li, L Shen, S Guo, Z Lai Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 | 18 | 2020 |
| V4D: 4D Convolutional Neural Networks for Video-level Representation Learning S Zhang, S Guo, W Huang, MR Scott, L Wang International conference on learning representations (ICLR), 2020 | 18 | 2020 |
| Marine Animal Detection and Recognition with Advanced Deep Learning Models P Zhuang, L Xing, Y Liu, S Guo, Y Qiao | 16 | 2017 |
| Label-PEnet: Sequential label propagation and enhancement networks for weakly supervised instance segmentation W Ge, S Guo, W Huang, MR Scott Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 15 | 2019 |
| Brain SegNet: 3D Local Refinement Network for Brain Lesion Segmentation X Hu, W Luo, J Hu, S Guo, W Huang, MR Scott, R Wiest, M Dahlweid, ... BMC Medical Imaging 20, 2020 | 14* | 2020 |
| Improving scale invariant feature transform with local color contrastive descriptor for image classification S Guo, W Huang, Y Qiao Journal of Electronic Imaging 26 (1), 013015-013015, 2017 | 11* | 2017 |
| Knowledge Integration Networks for Action Recognition S Zhang, S Guo, L Wang, W Huang, MR Scott AAAI Conference on Artificial Intelligence (AAAI), 2020 | 6 | 2020 |
| Weakly Supervised Image Segmentation Via Curriculum Learning W Ge, S Guo, W Huang, MR Scott US Patent App. 16/525,309, 2021 | 3 | 2021 |
| Decoupling category-wise independence and relevance with self-attention for multi-label image classification L Liu, S Guo, W Huang, MR Scott ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 3 | 2019 |
| Decoupling Category-Wise Independence and Relevance with Self-Attention for Multi-Label Image Classification S Guo, W Huang, MR Scott, L Liu US Patent App. 16/509,391, 2020 | 2 | 2020 |
| Good Practice on Deep Scene Classification: from Local Supervision to Knowledge Guided Disambiguation Y Qiao, L Wang, S Guo, Z Wang, W Huang, Y Wang | 2 | 2017 |
| Unchain the Search Space with Hierarchical Differentiable Architecture Search G Liu, Y Zhong, S Guo, MR Scott, W Huang arXiv preprint arXiv:2101.04028, 2021 | 1 | 2021 |
Weilin HuangMalong TechnologiesVerified email at robots.ox.ac.uk
