| Deep high-resolution representation learning for visual recognition J Wang, K Sun, T Cheng, B Jiang, C Deng, Y Zhao, D Liu, Y Mu, M Tan, ... IEEE transactions on pattern analysis and machine intelligence 43 (10), 3349 …, 2020 | 2686 | 2020 |
| High-resolution representations for labeling pixels and regions K Sun, Y Zhao, B Jiang, T Cheng, B Xiao, D Liu, Y Mu, X Wang, W Liu, ... arXiv preprint arXiv:1904.04514, 2019 | 759 | 2019 |
| Research on campus traffic congestion detection using BP neural network and Markov model X Yu, S Xiong, Y He, WE Wong, Y Zhao Journal of information security and applications 31, 54-60, 2016 | 44 | 2016 |
| Mobilefan: Transferring deep hidden representation for face alignment Y Zhao, Y Liu, C Shen, Y Gao, S Xiong Pattern Recognition 100, 107114, 2020 | 38 | 2020 |
| Maskcov: A random mask covariance network for ultra-fine-grained visual categorization X Yu, Y Zhao, Y Gao, S Xiong Pattern Recognition 119, 108067, 2021 | 33 | 2021 |
| Patchy Image Structure Classification Using Multi-Orientation Region Transform X Yu, Y Zhao, Y Gao, S Xiong, X Yuan The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020 …, 2020 | 29 | 2020 |
| Learning deep part-aware embedding for person retrieval Y Zhao, C Shen, X Yu, H Chen, Y Gao, S Xiong Pattern Recognition 116, 107938, 2021 | 23 | 2021 |
| Benchmark platform for ultra-fine-grained visual categorization beyond human performance X Yu, Y Zhao, Y Gao, X Yuan, S Xiong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 21 | 2021 |
| SPARE: Self-supervised part erasing for ultra-fine-grained visual categorization X Yu, Y Zhao, Y Gao Pattern Recognition 128, 108691, 2022 | 19 | 2022 |
| Learning discriminative region representation for person retrieval Y Zhao, X Yu, Y Gao, C Shen Pattern Recognition 121, 108229, 2022 | 16 | 2022 |
| Mix-ViT: Mixing attentive vision transformer for ultra-fine-grained visual categorization X Yu, J Wang, Y Zhao, Y Gao Pattern Recognition 135, 109131, 2023 | 14 | 2023 |
| RB-Net: Training highly accurate and efficient binary neural networks with reshaped point-wise convolution and balanced activation C Liu, W Ding, P Chen, B Zhuang, Y Wang, Y Zhao, B Zhang, Y Han IEEE Transactions on Circuits and Systems for Video Technology 32 (9), 6414-6424, 2022 | 14 | 2022 |
| Multiscale crossing representation using combined feature of contour and venation for leaf image identification X Yu, S Xiong, Y Gao, Y Zhao, X Yuan 2016 international conference on digital image computing: techniques and …, 2016 | 12 | 2016 |
| An experimental study on software aging in android operating system Y Zhao, J Xiang, S Xiong, Y Wu, J An, S Wang, X Yu 2015 2nd International Symposium on Dependable Computing and Internet of …, 2015 | 12 | 2015 |
| Ear-net: error attention refining network for retinal vessel segmentation J Wang, Y Zhao, L Qian, X Yu, Y Gao 2021 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2021 | 10 | 2021 |
| Gait-Assisted Video Person Retrieval Y Zhao, X Wang, X Yu, C Liu, Y Gao IEEE Transactions on Circuits and Systems for Video Technology 33 (2), 897-908, 2022 | 2 | 2022 |
| Normal periocular anthropometric measurements in an Australian population K Rana, MB Beecher, C Caltabiano, Y Zhao, J Verjans, D Selva International ophthalmology, 1-7, 2023 | | 2023 |
| Learning Deep Asymmetric Tolerant Part Representation X Yu, Y Zhao, Y Gao, S Xiong IEEE Transactions on Artificial Intelligence, 2022 | | 2022 |
Xiaohan YuGriffith UniversityVerified email at griffith.edu.au
