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Wen Qian
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2020 – today
- 2024
- [i4]Shan Liu, Chaohui Yu, Chenjie Cao, Wen Qian, Fan Wang:
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing. CoRR abs/2407.04461 (2024) - 2022
- [j5]Wen Qian, Zhiqun He, Chen Chen, Silong Peng:
Partner learning: A comprehensive knowledge transfer for vehicle re-identification. Neurocomputing 480: 89-98 (2022) - [j4]Wen Qian, Zhiqun He, Chen Chen, Silong Peng:
Corrigendum to "Partner learning: A comprehensive knowledge transfer for vehicle re-identification" [Neurocomputing 480 (2022) 89-98/NEUCOM-D-21-03435R1]. Neurocomputing 490: 79 (2022) - [j3]Wen Qian
, Xue Yang
, Silong Peng
, Xiujuan Zhang, Junchi Yan
:
RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7869-7879 (2022) - [j2]Wen Qian
, Zhiqun He, Chen Chen
, Silong Peng
:
Navigating Diverse Salient Features for Vehicle Re-Identification. IEEE Trans. Intell. Transp. Syst. 23(12): 24578-24587 (2022) - [c12]Yubin Ma, Yuxin Ding, Wen Qian:
A Model for Detecting Malware Adversarial Samples Based on Anomaly Detection Technology. AHPCAI 2022: 75-84 - [c11]Yibo Wang, Wen Qian, Mengqi Li, Xuming Zhang:
A Transformer-Based Network for Deformable Medical Image Registration. CICAI (1) 2022: 502-513 - [c10]Wen Qian
, Hao Luo
, Silong Peng
, Fan Wang, Chen Chen
, Hao Li:
Unstructured Feature Decoupling for Vehicle Re-identification. ECCV (14) 2022: 336-353 - [c9]Wen Qian, Yuxin Ding, Weiyi Li:
Graph Convolutional Neural Network Based on Channel Graph Fusion for EEG Emotion Recognition. ICONIP (5) 2022: 243-254 - [c8]Guangbin Wang, Yuxin Ding, Yiqi Su, Zihan Zhou, Yubin Ma, Wen Qian:
Improving Knowledge Graph Embedding Using Dynamic Aggregation of Neighbor Information. ICONIP (4) 2022: 513-525 - [c7]Guangbin Wang, Yuxin Ding, Zhibin Xie, Yubin Ma, Zihan Zhou, Wen Qian:
RotatGAT: Learning Knowledge Graph Embedding with Translation Assumptions and Graph Attention Networks. IJCNN 2022: 1-7 - [i3]Yibo Wang, Wen Qian, Xuming Zhang:
A Transformer-based Network for Deformable Medical Image Registration. CoRR abs/2202.12104 (2022) - 2021
- [c6]Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Yue Guo:
Learning Modulated Loss for Rotated Object Detection. AAAI 2021: 2458-2466 - [c5]Wen Qian, Yuesheng Zhu:
Adversarial Learning with Domain-Adaptive Pretraining for Few-Shot Relation Classification across Domains. ICCCS 2021: 134-139 - [c4]Wen Qian, Zhiqun He, Silong Peng, Chen Chen, Wei Wu:
Pseudo Graph Convolutional Network for Vehicle ReID. ACM Multimedia 2021: 3162-3171 - [c3]Yuxin Ding, Zihan Zhou, Wen Qian:
A Malware Family Classification Method Based on the Point Cloud Model DGCNN. NSS 2021: 210-221 - [i2]Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Xiujuan Zhang:
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection. CoRR abs/2109.11906 (2021) - 2020
- [c2]Wen Qian, Chao Zhou, Dengyin Zhang:
CIASM-Net: A Novel Convolutional Neural Network for Dehazing Image. ICCCS 2020: 329-333
2010 – 2019
- 2019
- [j1]Wenhao He, Haitao Song, Yue Guo
, Xiaoyi Yin, Xiaonan Wang, Guibin Bian, Wen Qian:
A Gallery-Guided Graph Architecture for Sequential Impurity Detection. IEEE Access 7: 149105-149116 (2019) - [c1]Xuejun Liu, Yuchen Wei, Zixian Zhao, Wen Qian, Yongning Liang, Xintong Li, Cuiqing Li:
Research on Denoising Algorithms and Corner Detection of Dangerous Chemicals Storage and Stacking Based on Generative Adversarial Networks. CCIS 2019: 200-206 - [i1]Wen Qian, Xue Yang
, Silong Peng, Yue Guo, Chijun Yan:
Learning Modulated Loss for Rotated Object Detection. CoRR abs/1911.08299 (2019)
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last updated on 2024-08-21 21:34 CEST by the dblp team
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