Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring H Zhang, Y Dai, H Li, P Koniusz IEEE/CVF Conference on Computer Vision and Pattern Recognition, 5978-5986, 2019 | 543 | 2019 |
Few-shot Learning via Saliency-guided Hallucination of Samples H Zhang, J Zhang, P Koniusz IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2770-2779, 2019 | 251 | 2019 |
Few-shot Action Recognition with Permutation-invariant Attention H Zhang, L Zhang, X Qi, H Li, PHS Torr, P Koniusz European Conference on Computer Vision, 525-542, 2020 | 161 | 2020 |
Zero-shot Kernel Learning H Zhang, P Koniusz IEEE Conference on Computer Vision and Pattern Recognition, 7670-7679, 2018 | 122 | 2018 |
Power Normalizing Second-order Similarity Network for Few-shot Learning H Zhang, P Koniusz IEEE Winter Conference on Applications of Computer Vision, 1185-1193, 2019 | 64 | 2019 |
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning H Zhang, P Koniusz, S Jian, H Li, PHS Torr IEEE/CVF Conference on Computer Vision and Pattern Recognition, 9432-9441, 2021 | 63 | 2021 |
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification P Koniusz*, H Zhang* IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 58 | 2021 |
A Deeper Look at Power Normalizations H Zhang*, P Koniusz*, F Porikli IEEE Conference on Computer Vision and Pattern Recognition, 5774-5783, 2018 | 55* | 2018 |
Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond P Koniusz, Y Tas, H Zhang, M Harandi, F Porikli, R Zhang European Conference on Computer Vision, 788-804, 2018 | 50 | 2018 |
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration L Pan, S Chowdhury, R Hartley, M Liu, H Zhang, H Li IEEE/CVF Conference on Computer Vision and Pattern Recognition, 4340-4349, 2021 | 31 | 2021 |
Multi-level Second-order Few-shot Learning H Zhang, H Li, P Koniusz IEEE Transactions on Multimedia, 2022 | 30 | 2022 |
Model Selection for Generalized Zero-shot Learning H Zhang, P Koniusz European Conference on Computer Vision Workshops, 2018 | 23 | 2018 |
Fine-Grained Video Deblurring with Event Camera L Zhang, H Zhang, C Zhu, S Guo, J Chen, L Wang International Conference on Multimedia Modeling, 352-364, 2021 | 22* | 2021 |
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer H Zhang, PHS Torr, P Koniusz Proceedings of the Asian Conference on Computer Vision, 1298-1315, 2022 | 16* | 2022 |
Image-based insider threat detection via geometric transformation D Li, L Yang, H Zhang, X Wang, L Ma, J Xiao Security and Communication Networks 2021, 1-18, 2021 | 13 | 2021 |
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond P Koniusz, Y Tas, H Zhang, M Harandi, F Porikli, R Zhang arXiv preprint arXiv:1802.01093, 2018 | 10 | 2018 |
Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring H Zhang, L Zhang, Y Dai, H Li, P Koniusz International Journal of Computer Vision 131 (2), 453-470, 2023 | 8 | 2023 |
Oneshot Videobased Person Reidentification with Variance Subsampling Algorithm J Zhao, W Yang, M Yang, W Huang, Q Yang, H Zhang Computer Animation and Virtual Worlds 31 (4-5), e1964, 2020 | 4 | 2020 |
Memory-Augmented Insider Threat Detection with Temporal-Spatial Fusion D Li, L Yang, H Zhang, X Wang, L Ma Security and Communication Networks 2022, 2022 | 3 | 2022 |
ANF: attention-based noise filtering strategy for unsupervised few-shot classification G Ni, H Zhang, J Zhao, L Xu, W Yang, L Lan Pacific Rim International Conference on Artificial Intelligence, 109-123, 2021 | 1 | 2021 |