ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer H Zhang, W Hu, X Wang ECCV 2022, 2022 | 74* | 2022 |
Learning sparse frame models for natural image patterns J Xie, W Hu, SC Zhu, YN Wu International Journal of Computer Vision 114, 91-112, 2015 | 60 | 2015 |
Learning a probabilistic model mixing 3D and 2D primitives for view invariant object recognition W Hu, SC Zhu 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 43 | 2010 |
Modeling Occlusion by Discriminative AND-OR Structures B Li, W Hu, T Wu, SC Zhu Computer Vision (ICCV), 2013 IEEE International Conference on, 2013 | 40 | 2013 |
Generative model for abandoned object detection J Wen, H Gong, X Zhang, W Hu 2009 16th IEEE International Conference on Image Processing (ICIP), 853-856, 2009 | 37 | 2009 |
An integrated background model for video surveillance based on primal sketch and 3D scene geometry W Hu, H Gong, SC Zhu, Y Wang 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 31 | 2008 |
Guiding instruction-based image editing via multimodal large language models TJ Fu, W Hu, X Du, WY Wang, Y Yang, Z Gan arXiv preprint arXiv:2309.17102, 2023 | 30 | 2023 |
Unsupervised learning of compositional sparse code for natural image representation Y Hong, Z Si, W Hu, SC Zhu, YN Wu Quarterly of Applied Mathematics, 373-406, 2014 | 27 | 2014 |
Unsupervised learning of dictionaries of hierarchical compositional models J Dai, Y Hong, W Hu, SC Zhu, Y Nian Wu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 26 | 2014 |
Learning 3d object templates by quantizing geometry and appearance spaces W Hu, SC Zhu IEEE Transactions on Pattern Analysis and Machine intelligence 37 (6), 1190-1205, 2014 | 22 | 2014 |
Learning 3D object templates by hierarchical quantization of geometry and appearance spaces W Hu 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2336-2343, 2012 | 21 | 2012 |
Image Representation by Active Curves W Hu, YN Wu, SC Zhu Computer Vision (ICCV), 2011 IEEE International Conference on, 2011 | 12 | 2011 |
Coupling-and-decoupling: A hierarchical model for occlusion-free object detection B Li, X Song, T Wu, W Hu, M Pei Pattern recognition 47 (10), 3254-3264, 2014 | 11 | 2014 |
Inferring social roles in long timespan video sequence J Zhang, W Hu, B Yao, Y Wang, SC Zhu 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 10 | 2011 |
An improved real-time natural feature tracking algorithm for ar application J Chen, Y Wang, Y Li, W Hu, X Zang 16th International Conference on Artificial Reality and Telexistence …, 2006 | 9 | 2006 |
Nar-former: Neural architecture representation learning towards holistic attributes prediction Y Yi, H Zhang, W Hu, N Wang, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
Compression Network with Transformer for Approximate Nearest Neighbor Search H Zhang, W Hu, B Tang, X Wang ECCV 2022, 2022 | 7* | 2022 |
Fcaformer: Forward cross attention in hybrid vision transformer H Zhang, W Hu, X Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6* | 2023 |
Fast-parc: Position aware global kernel for convnets and vits T Yang, H Zhang, W Hu, C Chen, X Wang arXiv preprint arXiv:2210.04020, 2022 | 6 | 2022 |
YMIR: A Rapid Data-centric Development Platform for Vision Applications PX Huang, W Hu, W Brendel, M Chandraker, LJ Li, X Wang Proceedings of the Data-Centric AI Workshop at NeurIPS 2021, 2021 | 5 | 2021 |