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Wenze Hu
Wenze Hu
Department of Statistics, UCLA
Verified email at ucla.edu - Homepage
Title
Cited by
Cited by
Year
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
622015
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
422010
Modeling Occlusion by Discriminative AND-OR Structures
B Li, W Hu, T Wu, SC Zhu
Computer Vision (ICCV), 2013 IEEE International Conference on, 2013
402013
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
372009
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
312023
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
312008
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
282014
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
262014
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
222014
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
212012
Image Representation by Active Curves
W Hu, YN Wu, SC Zhu
Computer Vision (ICCV), 2011 IEEE International Conference on, 2011
122011
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
112014
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
102011
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
102006
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
72023
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
62022
Compression Network with Transformer for Approximate Nearest Neighbor Search
H Zhang, W Hu, B Tang, X Wang
ECCV 2022, 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
52021
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Articles 1–20