| iDLG: Improved Deep Leakage from Gradients B Zhao, KR Mopuri, H Bilen arXiv preprint arXiv:2001.02610, 2020 | 152 | 2020 |
| Ai challenger: A large-scale dataset for going deeper in image understanding J Wu, H Zheng, B Zhao, Y Li, B Yan, R Liang, W Wang, S Zhou, G Lin, ... 2019 IEEE International Conference on Multimedia and Expo (ICME), 1480-1485, 2019 | 100 | 2019 |
| Automatic generation of large-scale handwriting fonts via style learning Z Lian, B Zhao, J Xiao SIGGRAPH ASIA 2016, 12, 2016 | 67 | 2016 |
| Dataset Condensation with Gradient Matching B Zhao, KR Mopuri, H Bilen International Conference on Learning Representations (ICLR), 2021 | 48 | 2021 |
| EasyFont: a style learning-based system to easily build your large-scale handwriting fonts Z Lian, B Zhao, X Chen, J Xiao ACM Transactions on Graphics (TOG) 38 (1), 1-18, 2018 | 33 | 2018 |
| Zero-shot learning posed as a missing data problem B Zhao, B Wu, T Wu, Y Wang Proceedings of the International Conference on Computer Vision Workshops …, 2017 | 30* | 2017 |
| A Large-scale Attribute Dataset for Zero-shot Learning B Zhao, Y Fu, R Liang, J Wu, Y Wang, Y Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 29 | 2019 |
| Orthogonal curved-line Gabor filter for fast fingerprint enhancement Y Mei, B Zhao, Y Zhou, S Chen Electronics Letters 50 (3), 175-177, 2014 | 27 | 2014 |
| Dataset Condensation with Differentiable Siamese Augmentation B Zhao, H Bilen Proceedings of the 38th International Conference on Machine Learning (ICML), 2021 | 25 | 2021 |
| MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning B Zhao, X Sun, Y Fu, Y Yao, Y Wang Proceedings of the 35th International Conference on Machine Learning (ICML), 2018 | 18 | 2018 |
| Continual Representation Learning for Biometric Identification B Zhao, S Tang, D Chen, H Bilen, R Zhao Winter Conference on Applications of Computer Vision (WACV), 2021 | 11 | 2021 |
| Zero-Shot Learning Via Recurrent Knowledge Transfer B Zhao, X Sun, X Hong, Y Yao, Y Wang 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1308-1317, 2019 | 11* | 2019 |
| CAFE: Learning to Condense Dataset by Aligning Features K Wang, B Zhao, X Peng, Z Zhu, S Yang, S Wang, G Huang, H Bilen, ... Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 7 | 2022 |
| Information quantity based automatic reconstruction of shredded Chinese documents B Zhao, Y Zhou, Z Zhang, Y Na, T Ma 2014 IEEE 26th International Conference on Tools with Artificial …, 2014 | 5 | 2014 |
| Augmented Bi-path Network for Few-shot Learning B Yan, C Zhou, B Zhao, K Guo, J Yang, X Li, M Zhang, Y Wang International Conference on Pattern Recognition (ICPR), 2020 | 2 | 2020 |
| Privacy for Free: How does Dataset Condensation Help Privacy? T Dong, B Zhao, L Lyu International Conference on Machine Learning (ICML) 2022, 2022 | 1 | 2022 |
| Synthesizing Informative Training Samples with GAN B Zhao, H Bilen arXiv preprint arXiv:2204.07513, 2022 | 1 | 2022 |
| FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders K Wang, B Zhao, X Peng, Z Zhu, J Deng, X Wang, H Bilen, Y You arXiv preprint arXiv:2205.11090, 2022 | | 2022 |
| Dataset Condensation with Distribution Matching B Zhao, H Bilen arXiv preprint arXiv:2110.04181, 2021 | | 2021 |
Hakan BilenSchool of Informatics, University of EdinburghPotvrđena adresa e-pošte na ed.ac.uk
