Song Wu

According to our database, Song Wu authored at least 23 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Image enhancement with bi-directional normalization and color attention-guided generative adversarial networks.

Shan Liu, Shihao Shan, Guoqiang Xiao, Xinbo Gao, Song Wu

Int. J. Multim. Inf. Retr., March, 2024

2023

Retrieval-Based Natural 3D Human Motion Generation.

Yuqi Li, Yizhi Luo, Song Wu

Proceedings of the International Joint Conference on Neural Networks, 2023

LKD-Net: Large Kernel Convolution Network for Single Image Dehazing.

Pinjun Luo, Guoqiang Xiao, Xinbo Gao, Song Wu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Multi-label modality enhanced attention based self-supervised deep cross-modal hashing.

Xitao Zou, Song Wu, Nian Zhang, Erwin M. Bakker

Knowl. Based Syst., 2022

Multi-label enhancement based self-supervised deep cross-modal hashing.

Xitao Zou, Song Wu, Erwin M. Bakker, Xinzhi Wang

Neurocomputing, 2022

Deep hashing with self-supervised asymmetric semantic excavation and margin-scalable constraint.

Zhengyang Yu, Song Wu, Zhihao Dou, Erwin M. Bakker

Neurocomputing, 2022

Portrait Matting Network with Essential Feature Mining and Fusion.

Hang Jiang, Song Wu, Dehong He, Guoqiang Xiao

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Multi-label semantics preserving based deep cross-modal hashing.

Xitao Zou, Xinzhi Wang, Erwin M. Bakker, Song Wu

Signal Process. Image Commun., 2021

Hierarchical semantic interaction-based deep hashing network for cross-modal retrieval.

Shubai Chen, Song Wu, Li Wang

PeerJ Comput. Sci., 2021

Self-attention and adversary learning deep hashing network for cross-modal retrieval.

Shubai Chen, Song Wu, Li Wang, Zhenyang Yu

Comput. Electr. Eng., 2021

Deep Similarity Preserving and Attention-based Hashing for Cross-Modal Retrieval.

Shubai Chen, Song Wu, Yu Chen, Yuan Yuan

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

2020

Self-constraining and attention-based hashing network for bit-scalable cross-modal retrieval.

Xinzhi Wang, Xitao Zou, Erwin M. Bakker, Song Wu

Neurocomputing, 2020

2017

A comprehensive evaluation of local detectors and descriptors.

Song Wu, Ard Oerlemans, Erwin M. Bakker, Michael S. Lew

Signal Process. Image Commun., 2017

Deep binary codes for large scale image retrieval.

Song Wu, Ard Oerlemans, Erwin M. Bakker, Michael S. Lew

Neurocomputing, 2017

2016

Deep learning for visual understanding: A review.

Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu, Michael S. Lew

Neurocomputing, 2016

Comparison of Information Loss Architectures in CNNs.

Song Wu, Michael S. Lew

Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Image Correspondences Matching Using Multiple Features Fusion.

Song Wu, Michael S. Lew

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

DeepIndex for Accurate and Efficient Image Retrieval.

Yu Liu, Yanming Guo, Song Wu, Michael S. Lew

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

2014

A Comparison between Artificial Neural Network and Cascade-Correlation Neural Network in Concept Classification.

Yanming Guo, Liang Bai, Songyang Lao, Song Wu, Michael S. Lew

Proceedings of the Advances in Multimedia Information Processing - PCM 2014, 2014

RIFF: Retina-inspired Invariant Fast Feature Descriptor.

Song Wu, Michael S. Lew

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

3D Image Browsing: The Planets.

Qi Zhang, Simon Zaaijer, Song Wu, Michael S. Lew

Proceedings of the International Conference on Multimedia Retrieval, 2014

Salient features for visual word based image copy detection.

Song Wu, Michael S. Lew

Proceedings of the International Conference on Multimedia Retrieval, 2014

2013

Evaluation of salient point methods.

Song Wu, Michael S. Lew

Proceedings of the ACM Multimedia Conference, 2013