| Crowd counting with deep negative correlation learning Z Shi, L Zhang, Y Liu, X Cao, Y Ye, MM Cheng, G Zheng Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 227 | 2018 |
| Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge X Zhuang, L Li, C Payer, D Štern, M Urschler, MP Heinrich, J Oster, ... Medical image analysis 58, 101537, 2019 | 146 | 2019 |
| Counting with focus for free Z Shi, P Mettes, CGM Snoek ICCV, 2019, 2019 | 75 | 2019 |
| Nonlinear regression via deep negative correlation learning (vol 43, pg 982, 2021) L Zhang, Z Shi, MM Cheng, Y Liu, JW Bian, JT Zhou, G Zheng, Z Zeng IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 43 (6), 2172-2172, 2021 | 65* | 2021 |
| Rank-based pooling for deep convolutional neural networks Z Shi, Y Ye, Y Wu Neural Networks 83, 21-31, 2016 | 60 | 2016 |
| Bayesian voxdrn: A probabilistic deep voxelwise dilated residual network for whole heart segmentation from 3d mr images Z Shi, G Zeng, L Zhang, X Zhuang, L Li, G Yang, G Zheng MICCAI, 569-577, 2018 | 37 | 2018 |
| Multiscale multitask deep NetVLAD for crowd counting Z Shi, L Zhang, Y Sun, Y Ye IEEE Transactions on Industrial Informatics 14 (11), 4953-4962, 2018 | 30 | 2018 |
| Ordered or orderless: A revisit for video based person re-identification L Zhang*, Z Shi*, JT Zhou, MM Cheng, Y Liu, JW Bian, Z Zeng, C Shen IEEE transactions on pattern analysis and machine intelligence (TPAMI) 43 (4 …, 2020 | 25 | 2020 |
| Crowd counting using rank-based spatial pyramid pooling network S Zeng-Lin, Y Yang-Dong, W Yun-Peng, L Zheng-Zheng Acta Automatica Sinica 42 (6), 866-874, 2016 | 18* | 2016 |
| DMIB: Dual-correlated multivariate information bottleneck for multiview clustering S Hu, Z Shi, Y Ye IEEE Transactions on Cybernetics, 2020 | 10 | 2020 |
| Collective density clustering for coherent motion detection Y Wu, Y Ye, C Zhao, Z Shi IEEE Transactions on Multimedia 20 (6), 1418-1431, 2017 | 10 | 2017 |
| Multidimensional balance-based cluster boundary detection for high-dimensional data X Cao, B Qiu, X Li, Z Shi, G Xu, J Xu IEEE transactions on neural networks and learning systems 30 (6), 1867-1880, 2018 | 5 | 2018 |
| On measuring and controlling the spectral bias of the deep image prior Z Shi, P Mettes, S Maji, CGM Snoek International Journal of Computer Vision (IJCV), 2021 | 4 | 2021 |
| Unsharp Mask Guided Filtering Z Shi, Y Chen, E Gavves, P Mettes, CGM Snoek IEEE Transactions on Image Processing, 7472 - 7485, 2021 | 3 | 2021 |
| Social Fabric: Tubelet Compositions for Video Relation Detection S Chen, Z Shi, P Mettes, CGM Snoek ICCV, 2021 | 2 | 2021 |
| Non-local attention improves description generation for retinal images JH Huang, TW Wu, CHH Yang, Z Shi, I Lin, J Tegner, M Worring Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 1 | 2022 |
| Frequency-Supervised MR-to-CT Image Synthesis Z Shi, P Mettes, G Zheng, C Snoek MICCAI workshop on Deep Generative Models, 2021 | | 2021 |
| Monitoring Temporal Developments from Remote Sensing Data using AI Fine-Grained Segmentation S Zamarialai, T Perenboom, A Kruijver, Z Shi, B Foing EGU General Assembly Conference Abstracts, EGU21-15917, 2021 | | 2021 |
| Geometric Active Learning via Enclosing Ball Boundary X Cao, IW Tsang, J Xu, Z Shi, G Xu arXiv preprint arXiv:1805.12321, 2018 | | 2018 |
Guoyan Zheng, Prof. Dr.Professor of Shanghai Jiao Tong University, ChinaEmail verificata su ieee.org
