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Wenze Hu
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2020 – today
- 2024
- [j5]Feng Lin
, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang:
Universal Object Detection with Large Vision Model. Int. J. Comput. Vis. 132(4): 1258-1276 (2024) - [j4]Xiaotian Yu
, Hanling Yi, Qie Tang, Kun Huang, Wenze Hu, Shiliang Zhang
, Xiaoyu Wang
:
Graph-based social relation inference with multi-level conditional attention. Neural Networks 173: 106216 (2024) - [c18]Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan:
Guiding Instruction-based Image Editing via Multimodal Large Language Models. ICLR 2024 - 2023
- [c17]Yun Yi, Haokui Zhang, Wenze Hu, Nannan Wang, Xiaoyu Wang:
NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction. CVPR 2023: 7715-7724 - [c16]Ruihan Xu, Haokui Zhang, Wenze Hu, Shiliang Zhang, Xiaoyu Wang:
ParCNetV2: Oversized Kernel with Enhanced Attention*. ICCV 2023: 5729-5739 - [c15]Haokui Zhang, Wenze Hu, Xiaoyu Wang:
Fcaformer: Forward Cross Attention in Hybrid Vision Transformer. ICCV 2023: 6037-6046 - [i11]Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan:
Guiding Instruction-based Image Editing via Multimodal Large Language Models. CoRR abs/2309.17102 (2023) - 2022
- [c14]Haokui Zhang, Buzhou Tang, Wenze Hu, Xiaoyu Wang:
Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search. ECCV (14) 2022: 515-530 - [c13]Haokui Zhang, Wenze Hu, Xiaoyu Wang:
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer. ECCV (26) 2022: 613-630 - [i10]Haokui Zhang, Wenze Hu, Xiaoyu Wang:
EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers. CoRR abs/2203.03952 (2022) - [i9]Phoenix X. Huang, Zhiwei Zhao, Chao Liu, Jingyi Liu, Wenze Hu, Xiaoyu Wang:
Implementation of an Automated Learning System for Non-experts. CoRR abs/2203.15784 (2022) - [i8]Zhanpeng Feng, Shiliang Zhang, Rinyoichi Takezoe, Wenze Hu, Manmohan Chandraker, Li-Jia Li, Vijay K. Narayanan, Xiaoyu Wang:
ALBench: A Framework for Evaluating Active Learning in Object Detection. CoRR abs/2207.13339 (2022) - [i7]Tao Yang, Haokui Zhang, Wenze Hu, Changwen Chen, Xiaoyu Wang:
Fast-ParC: Position Aware Global Kernel for ConvNets and ViTs. CoRR abs/2210.04020 (2022) - [i6]Ruihan Xu, Haokui Zhang, Wenze Hu, Shiliang Zhang, Xiaoyu Wang:
ParCNetV2: Oversized Kernel with Enhanced Attention. CoRR abs/2211.07157 (2022) - [i5]Haokui Zhang, Wenze Hu, Xiaoyu Wang:
CabViT: Cross Attention among Blocks for Vision Transformer. CoRR abs/2211.07198 (2022) - [i4]Yun Yi, Haokui Zhang, Wenze Hu, Nannan Wang, Xiaoyu Wang:
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction. CoRR abs/2211.08024 (2022) - [i3]Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang:
Million-scale Object Detection with Large Vision Model. CoRR abs/2212.09408 (2022) - 2021
- [i2]Haokui Zhang, Wenze Hu, Xiaoyu Wang, Buzhou Tang:
Learnable Compression Network with Transformer for Approximate Nearest Neighbor Search. CoRR abs/2107.14415 (2021) - [i1]Phoenix X. Huang, Wenze Hu, William Brendel, Manmohan Chandraker, Li-Jia Li, Xiaoyu Wang:
YMIR: A Rapid Data-centric Development Platform for Vision Applications. CoRR abs/2111.10046 (2021)
2010 – 2019
- 2015
- [j3]Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu:
Learning Sparse FRAME Models for Natural Image Patterns. Int. J. Comput. Vis. 114(2-3): 91-112 (2015) - [j2]Wenze Hu, Song-Chun Zhu:
Learning 3D Object Templates by Quantizing Geometry and Appearance Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1190-1205 (2015) - 2014
- [j1]Bo Li, Xi Song, Tianfu Wu
, Wenze Hu, Mingtao Pei:
Coupling-and-decoupling: A hierarchical model for occlusion-free object detection. Pattern Recognit. 47(10): 3254-3264 (2014) - [c12]Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu:
Learning Inhomogeneous FRAME Models for Object Patterns. CVPR 2014: 1035-1042 - [c11]Jifeng Dai
, Yi Hong, Wenze Hu, Song-Chun Zhu, Ying Nian Wu:
Unsupervised Learning of Dictionaries of Hierarchical Compositional Models. CVPR 2014: 2505-2512 - 2013
- [c10]Bo Li, Wenze Hu, Tianfu Wu, Song-Chun Zhu:
Modeling Occlusion by Discriminative AND-OR Structures. ICCV 2013: 2560-2567 - [p1]Wenze Hu, Zhangzhang Si, Song-Chun Zhu:
Structure vs. Appearance and 3D vs. 2D? A Numeric Answer. Shape Perception in Human and Computer Vision 2013: 237-248 - 2012
- [b1]Wenze Hu:
Integrating 3D and 2D Representations for View Invariant Object Recognition. University of California, Los Angeles, USA, 2012 - [c9]Bo Li, Tianfu Wu
, Wenze Hu, Mingtao Pei:
Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection. ACCV (1) 2012: 164-175 - [c8]Wenze Hu:
Learning 3D object templates by hierarchical quantization of geometry and appearance spaces. CVPR 2012: 2336-2343 - 2011
- [c7]Wenze Hu, Ying Nian Wu, Song-Chun Zhu:
Image representation by active curves. ICCV 2011: 1808-1815 - [c6]Jiangen Zhang, Wenze Hu, Benjamin Z. Yao, Yongtian Wang, Song-Chun Zhu:
Inferring social roles in long timespan video sequence. ICCV Workshops 2011: 1456-1463 - 2010
- [c5]Wenze Hu, Song Chun Zhu:
Learning a probabilistic model mixing 3D and 2D primitives for view invariant object recognition. CVPR 2010: 2273-2280
2000 – 2009
- 2009
- [c4]Jianting Wen, Haifeng Gong, Xia Zhang, Wenze Hu:
Generative model for abandoned object detection. ICIP 2009: 853-856 - 2008
- [c3]Wenze Hu, Haifeng Gong, Song Chun Zhu, Yongtian Wang:
An integrated background model for video surveillance based on primal sketch and 3D scene geometry. CVPR 2008 - [c2]Wenze Hu, Jianting Wen, Haifeng Gong, Yongtian Wang:
An interactive scene annotation tool for video surveillance. ICPR 2008: 1-4 - 2006
- [c1]Jing Chen, Yongtian Wang, Yu Li, Wenze Hu, Xiaojun Zhang:
An Improved Real-Time Natural Feature Tracking Algorithm for AR Application. ICAT Workshops 2006: 119-124
Coauthor Index
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last updated on 2024-08-14 22:20 CEST by the dblp team
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