期刊论文
[1] Yu Zhenyang, Wu Song*, Bakker M. Erwin. Deep Cross-Modal hashing with multi-task latent space learning[J]. Knowledge-Based Systems, 2022, accept. (SCI-1). [2] Yu Zhenyang, Wu Song*, Dou Zhihao, Bakker M. Erwin. Deep hashing with self-supervised asymmetric semantic excavation and margin-scalable constraint[J]. Neurocomputing, 2022, accept. (SCI-2). [3] Zou Xitao, Wu Song*, Zhang Nian, Bakker M. Erwin. Multi-label modality enhanced attention based self-supervised deep cross-modal hashing[J]. Knowledge-Based Systems, 2022, 239: 107927. (SCI-1). [4] Zou Xitao, Wu Song*, Bakker M. Erwin, Wang Xinzhi. Multi-label enhancement based self-supervised deep cross-modal hashing[J]. Neurocomputing, 2022, 467: 138-162. (SCI-2). [5] Chen Shubai, Wu Song*, Wang Li, Yu Zhengyang. Self-attention and adversary learning deep hashing network for cross-modal retrieval[J]. Computers & Electrical Engineering, 2021, 93: 107262. (SCI-3). [6] Chen Shubai, Wu Song*, Wang Li. Hierarchical semantic interaction-based deep hashing network for cross-modal retrieval[J]. PeerJ Computer Science, 2021, 7: e552. (SCI-3). [7] Zou Xitao, Wang Xinzhi, Bakker M. Erwin, Wu Song*. Multi-label semantics preserving based deep cross-modal hashing[J]. Signal Processing: Image Communication, 2021, 93: 116131. (SCI-2). [8] Wang Xinzhi, Zou Xitao, Bakker M. Erwin, Wu Song*. Self-constraining and attention-based hashing network for bit-scalable cross-modal retrieval[J]. Neurocomputing, 2020, 400: 255-271. (SCI-2). [9] Wu Song*, Oerlemans Ard, Bakker M. Erwin, Lew S. Michael. Deep binary codes for large scale image retrieval[J]. Neurocomputing. 2017, 257: 5-15. (SCI-2). [10] Wu Song*, Oerlemans Ard, Bakker M. Erwin, Lew S. Michael. A comprehensive evaluation of local detectors and descriptors[J]. Signal Processing: Image Communication. 2017, 59: 150-67. (SCI-2). [11] Guo Yanming, Liu Yu, Oerlemans Ard, Lao Songyang, Wu Song, Lew S. Michael*. Deep learning for visual understanding: A review[J]. Neurocomputing, 2016, 187:27-48. (SCI-2, Google Citations: 1600).
会议论文
[1] Liu shan, Wu Song*, Xu Xiaohui, Xiao Guoqiang. Bi-directional Normalization and Color Attention-guided Generative Adversarial Network for Image Enhancement. In Proceedings of 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2022, accept. (CCF-B). [2] Liu jinpeng, Wu Song, He Dehong, Xiao Guoqiang*. MS-ROCANET: Multi-scale Residual Othognal-channel Attention Network for Scene Text Detection. In Proceedings of 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2022, accept. (CCF-B). [3] Chen Shubai, Wu Song*, Chen Yu, Yuan Yuan. Deep similarity preserving and attention-based hashing for cross-modal retrieval. In Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering (SEKE) 2021, Pages: 405-410. (CCF-C). [4] Li Xinyi, Wu Song, Xiao Guoqiang*. Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing. In Proceedings of the 28th International Conference on Neural Information Processing (ICONIP), 2021, Pages: 254-265. (CCF-C). [5] Xu Xiaohui, Wu Song, Liu Shan, Xiao Guoqiang*. Cross-Modal Based Person Re-identification via Channel Exchange and Adversarial Learning. In Proceedings of the 28th International Conference on Neural Information Processing (ICONIP), 2021, Pages: 500-511. (CCF-C). [6] Zeng Xianming, Wu Song, Xiao Guoqiang*. Multi-object Tracking with Conditional Random Field. In Proceedings of the 26th International Conference on Neural Information Processing (ICONIP), 2019, Pages: 206-214. (CCF-C). [7] Chen Guo, Wu Song, Xiao Guoqiang*. A Deep Clustering-Guide Learning for Unsupervised Person Re-identification. In Proceedings of the 26th International Conference on Neural Information Processing (ICONIP), 2019, Pages: 585-596. (CCF-C). [8] Li Zhenghao, Wu Song, and Xiao Guoqiang*. Facial expression recognition by multi-scale CNN with regularized center loss. In Proceedings of the 24th International Conference on Pattern Recognition (ICPR), 2018, Pages: 3384-3389. (CCF-C). [9] Wu Song*, Michael S. Lew, Image Correspondences Matching Using Multiple Features Fusion. In Proceedings of the 14th European Conference on Computer Vision (ECCV), 2016, Pages: 737-746. (CCF-B). [10] Wu Song*, Michael S. Lew, Comparison of Information Loss Architectures in CNNs. In Proceedings of the 17th Pacific RIM Conference on Multimedia (PCM), 2016, Pages: 346-354. (CCF-C). [11] Wu Song*, Michael S. Lew, RIFF: Retina-inspired Invariant Fast Feature Descriptor. In Proceedings of the 22nd ACM International Conference on Multimedia (ACM MM), 2014, Pages: 1129-1132. (CCF-A). [12] Wu Song*, Michael S. Lew, Salient Features for Visual Word-based Image Copy Detection. In Proceedings of the 4th International Conference on Multimedia Retrieval (ICMR), 2014, Pages: 475-478. (CCF-B). [13] Wu Song*, Michael S. Lew, Evaluation of Salient Point Methods. In Proceedings the 21st ACM International Conference on Multimedia (ACM MM), 2013, Pages: 685-688. (CCF-A).
学术专著 Song Wu, Large Scale Visual Search, Leiden University Press, 2016.12 (ISBN: 9789463321174)
|
