| STNet: Scale tree network with multi-level auxiliator for crowd counting M Wang, H Cai, XF Han, J Zhou, M Gong IEEE Transactions on Multimedia 25, 2074-2084, 2022 | 51 | 2022 |
| Normal estimation for 3D point clouds via local plane constraint and multi-scale selection J Zhou, H Huang, B Liu, X Liu Computer-Aided Design 129, 102916, 2020 | 49 | 2020 |
| Crowdmlp: Weakly-supervised crowd counting via multi-granularity mlp M Wang, J Zhou, H Cai, M Gong Pattern Recognition 144, 109830, 2023 | 32 | 2023 |
| Siamesepointnet: A siamese point network architecture for learning 3d shape descriptor J Zhou, MJ Wang, WD Mao, ML Gong, XP Liu Computer Graphics Forum 39 (1), 309-321, 2020 | 25 | 2020 |
| Fast and accurate normal estimation for point clouds via patch stitching J Zhou, W Jin, M Wang, X Liu, Z Li, Z Liu Computer-Aided Design 142, 103121, 2022 | 24 | 2022 |
| Latent tangent space representation for normal estimation J Cao, H Zhu, Y Bai, J Zhou, J Pan, Z Su IEEE Transactions on Industrial Electronics 69 (1), 921-929, 2021 | 22 | 2021 |
| Interlayer and intralayer scale aggregation for scale-invariant crowd counting M Wang, H Cai, J Zhou, M Gong Neurocomputing 441, 128-137, 2021 | 21 | 2021 |
| Improvement of normal estimation for point clouds via simplifying surface fitting J Zhou, W Jin, M Wang, X Liu, Z Li, Z Liu Computer-Aided Design 161, 103533, 2023 | 19 | 2023 |
| Feature preserving GAN and multi-scale feature enhancement for domain adaption person re-identification X Liu, H Tan, X Tong, J Cao, J Zhou Neurocomputing 364, 108-118, 2019 | 19 | 2019 |
| Semi-dense stereo matching using dual CNNs W Mao, M Wang, J Zhou, M Gong 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1588-1597, 2019 | 13 | 2019 |
| Multi-scale convolution aggregation and stochastic feature reuse for DenseNets M Wang, J Zhou, W Mao, M Gong 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 321-330, 2019 | 13 | 2019 |
| 3D shape segmentation using multiple random walkers J Zhou, W Wang, J Zhang, B Yin, X Liu Journal of Computational and Applied Mathematics 329, 353-363, 2018 | 12 | 2018 |
| Gcnet: Probing self-similarity learning for generalized counting network M Wang, Y Li, J Zhou, GW Taylor, M Gong Pattern Recognition 153, 110513, 2024 | 11 | 2024 |
| Stochastic multi-scale aggregation network for crowd counting M Wang, H Cai, J Zhou, M Gong ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 11 | 2020 |
| Multi-view 3D shape style transformation X Liu, H Huang, W Wang, J Zhou The Visual Computer, 1-16, 2022 | 4 | 2022 |
| Low-rank image completion with entropy features J Cao, J Zhou, X Liu, W Wang, P Tao, J Wang Machine Vision and Applications 28, 129-139, 2017 | 4 | 2017 |
| Detail-preserving shape unfolding B Liu, W Wang, J Zhou, B Li, X Liu Sensors 21 (4), 1187, 2021 | 3 | 2021 |
| Deep mesh labeling via learned semantic boundary guidance J Zhou, X Liu, J Cao, W Wang, B Yin Computer-Aided Design 101, 72-81, 2018 | 3 | 2018 |
| 3D grasp saliency analysis via deep shape correspondence L Zhang, S Wang, J Zhou, J Liu, C Zhu Computer Aided Geometric Design 81, 101901, 2020 | 2 | 2020 |
| GeoHi-GNN: Geometry-aware hierarchical graph representation learning for normal estimation N Li, X Li, J Zhou, D Jiang, J Liu, H Qin Computer Aided Geometric Design 114, 102390, 2024 | 1 | 2024 |