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Song Wu 0003
Person information
- affiliation: Southwest University, College of Computer and Information Science, Chongqing, China
- affiliation (former): Leiden University, LIACS Media Lab, The Netherlands
Other persons with the same name
- Song Wu — disambiguation page
- Song Wu 0001
— Huazhong University of Science and Technology, Wuhan, China
- Song Wu 0002
— University of Salford, School of Built Environment, UK
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2020 – today
- 2024
- [j16]Shan Liu, Guoqiang Xiao, Michael S. Lew, Xinbo Gao
, Song Wu:
Core-attributes enhanced generative adversarial networks for robust image enhancement. Eng. Appl. Artif. Intell. 131: 107799 (2024) - [j15]Song Wu, Shihao Shan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao
:
Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible-infrared Person Re-identification. Eng. Appl. Artif. Intell. 133: 107990 (2024) - [j14]Song Wu, Xiang Yuan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao
:
Deep cross-modal hashing with multi-task latent space learning. Eng. Appl. Artif. Intell. 136: 108944 (2024) - [j13]Shan Liu, Shihao Shan, Guoqiang Xiao, Xinbo Gao, Song Wu:
Image enhancement with bi-directional normalization and color attention-guided generative adversarial networks. Int. J. Multim. Inf. Retr. 13(1): 1 (2024) - [j12]Shihao Shan, Peixin Sun, Guoqiang Xiao, Song Wu:
Multi-knowledge-driven enhanced module for visible-infrared cross-modal person Re-identification. Int. J. Multim. Inf. Retr. 13(2): 19 (2024) - [c28]Yijin Liu, Guoqiang Xiao, Michael S. Lew, Song Wu:
Multi-Scale Fusion of Gated Neighborhood Attention Transformers for Single Image Deraining. ICASSP 2024: 3130-3134 - [c27]Lu Kang, Guoqiang Xiao, Michael S. Lew, Song Wu:
Arbitrary Style Transfer Based on Content Integrity and Style Consistency Enhancement. ICASSP 2024: 3135-3139 - [c26]Weiwei Zhou
, Guoqiang Xiao
, Michael S. Lew
, Song Wu
:
Causal Inference-based Few-Shot Class-Incremental Learning. ICMR 2024: 478-487 - [c25]Yitong Xing
, Guoqiang Xiao
, Michael S. Lew
, Song Wu
:
Lifelong Visible-Infrared Person Re-Identification via a Tri-Token Transformer with a Query-Key Mechanism. ICMR 2024: 988-997 - 2023
- [c24]Pinjun Luo, Guoqiang Xiao, Xinbo Gao, Song Wu:
LKD-Net: Large Kernel Convolution Network for Single Image Dehazing. ICME 2023: 1601-1606 - [c23]Yuqi Li, Yizhi Luo, Song Wu:
Retrieval-Based Natural 3D Human Motion Generation. IJCNN 2023: 1-7 - 2022
- [j11]Xitao Zou, Song Wu, Erwin M. Bakker, Xinzhi Wang:
Multi-label enhancement based self-supervised deep cross-modal hashing. Neurocomputing 467: 138-162 (2022) - [j10]Zhengyang Yu, Song Wu, Zhihao Dou, Erwin M. Bakker:
Deep hashing with self-supervised asymmetric semantic excavation and margin-scalable constraint. Neurocomputing 483: 87-104 (2022) - [j9]Xitao Zou, Song Wu, Nian Zhang
, Erwin M. Bakker:
Multi-label modality enhanced attention based self-supervised deep cross-modal hashing. Knowl. Based Syst. 239: 107927 (2022) - [j8]Xiaohui Xu, Shan Liu, Nian Zhang
, Guoqiang Xiao, Song Wu:
Channel exchange and adversarial learning guided cross-modal person re-identification. Knowl. Based Syst. 257: 109883 (2022) - [c22]Jinpeng Liu, Song Wu, Dehong He, Guoqiang Xiao:
MS-ROCANet: Multi-Scale Residual Orthogonal-Channel Attention Network for Scene Text Detection. ICASSP 2022: 2200-2204 - [c21]Shan Liu, Guoqiang Xiao, Xiaohui Xu, Song Wu:
Bi-Directional Normalization and Color Attention-Guided Generative Adversarial Network for Image Enhancement. ICASSP 2022: 2205-2209 - [c20]Hang Jiang, Song Wu, Dehong He, Guoqiang Xiao:
Portrait Matting Network with Essential Feature Mining and Fusion. ICONIP (6) 2022: 576-587 - [c19]Hang Jiang, Song Wu, Dehong He, Guoqiang Xiao:
Natural Image Matting with Low-Level Feature Attention Guidance. KSEM (3) 2022: 550-561 - [c18]Dehong He, Song Wu, Jinpeng Liu, Guoqiang Xiao:
Cross Transformer Network for Scale-Arbitrary Image Super-Resolution. KSEM (2) 2022: 633-644 - [i1]Pinjun Luo, Guoqiang Xiao, Xinbo Gao, Song Wu:
LKD-Net: Large Kernel Convolution Network for Single Image Dehazing. CoRR abs/2209.01788 (2022) - 2021
- [j7]Shubai Chen, Song Wu, Li Wang, Zhenyang Yu:
Self-attention and adversary learning deep hashing network for cross-modal retrieval. Comput. Electr. Eng. 93: 107262 (2021) - [j6]Shubai Chen, Song Wu, Li Wang:
Hierarchical semantic interaction-based deep hashing network for cross-modal retrieval. PeerJ Comput. Sci. 7: e552 (2021) - [j5]Xitao Zou, Xinzhi Wang, Erwin M. Bakker
, Song Wu:
Multi-label semantics preserving based deep cross-modal hashing. Signal Process. Image Commun. 93: 116131 (2021) - [c17]Xinyi Li, Song Wu, Guoqiang Xiao:
Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing. ICONIP (1) 2021: 254-265 - [c16]Xiaohui Xu, Song Wu, Shan Liu, Guoqiang Xiao:
Cross-Modal Based Person Re-identification via Channel Exchange and Adversarial Learning. ICONIP (1) 2021: 500-511 - [c15]Shubai Chen, Song Wu, Yu Chen, Yuan Yuan:
Deep Similarity Preserving and Attention-based Hashing for Cross-Modal Retrieval. SEKE 2021: 405-410 - 2020
- [j4]Xinzhi Wang, Xitao Zou, Erwin M. Bakker, Song Wu:
Self-constraining and attention-based hashing network for bit-scalable cross-modal retrieval. Neurocomputing 400: 255-271 (2020) - [c14]Rui Yang, Song Wu, Guoqiang Xiao:
Unsupervised Multiple Granularities Attention-Attribute Learning for Person Re-Identification. ISCAS 2020: 1-5 - [c13]Guanghai Wang, Song Wu, Guoqiang Xiao:
CARNet: Context Attention Refine Network for Semantic Segmentation. IVSP 2020: 127-132
2010 – 2019
- 2019
- [c12]Xianming Zeng, Song Wu, Guoqiang Xiao:
Multi-object Tracking with Conditional Random Field. ICONIP (5) 2019: 206-214 - [c11]Guo Chen, Song Wu, Guoqiang Xiao:
A Deep Clustering-Guide Learning for Unsupervised Person Re-identification. ICONIP (3) 2019: 585-596 - 2018
- [c10]Zhenghao Li, Song Wu, Guoqiang Xiao:
Facial Expression Recognition by Multi-Scale CNN with Regularized Center Loss. ICPR 2018: 3384-3389 - 2017
- [j3]Song Wu
, Ard Oerlemans, Erwin M. Bakker, Michael S. Lew:
Deep binary codes for large scale image retrieval. Neurocomputing 257: 5-15 (2017) - [j2]Song Wu, Ard Oerlemans, Erwin M. Bakker, Michael S. Lew:
A comprehensive evaluation of local detectors and descriptors. Signal Process. Image Commun. 59: 150-167 (2017) - [c9]Yongsheng Zhou, Nan Pu, Li Qian
, Song Wu, Guoqiang Xiao:
Human Action Recognition in Videos of Realistic Scenes Based on Multi-scale CNN Feature. PCM (2) 2017: 316-326 - 2016
- [j1]Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu, Michael S. Lew:
Deep learning for visual understanding: A review. Neurocomputing 187: 27-48 (2016) - [c8]Song Wu, Michael S. Lew:
Image Correspondences Matching Using Multiple Features Fusion. ECCV Workshops (3) 2016: 737-746 - [c7]Song Wu, Michael S. Lew:
Comparison of Information Loss Architectures in CNNs. PCM (2) 2016: 346-354 - 2015
- [c6]Yu Liu, Yanming Guo, Song Wu, Michael S. Lew:
DeepIndex for Accurate and Efficient Image Retrieval. ICMR 2015: 43-50 - 2014
- [c5]Song Wu, Michael S. Lew:
Salient features for visual word based image copy detection. ICMR 2014: 475 - [c4]Qi Zhang, Simon Zaaijer, Song Wu, Michael S. Lew:
3D Image Browsing: The Planets. ICMR 2014: 511 - [c3]Song Wu, Michael S. Lew:
RIFF: Retina-inspired Invariant Fast Feature Descriptor. ACM Multimedia 2014: 1129-1132 - [c2]Yanming Guo, Liang Bai, Songyang Lao, Song Wu, Michael S. Lew:
A Comparison between Artificial Neural Network and Cascade-Correlation Neural Network in Concept Classification. PCM 2014: 248-253 - 2013
- [c1]Song Wu, Michael S. Lew:
Evaluation of salient point methods. ACM Multimedia 2013: 685-688
Coauthor Index
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last updated on 2024-09-02 20:28 CEST by the dblp team
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