default search action
ICMSSP 2021: Shenzhen, China
- ICMSSP 2021: 6th International Conference on Multimedia Systems and Signal Processing, Shenzhen, China, May 22 - 24, 2021. ACM 2021, ISBN 978-1-4503-9037-8
- Jidong Han, Yujian Li:
Comparative Study on Image Classification Algorithm Based on Dimensionality Reduction Technologies and Convolutional Neural Networks. 1-8 - Bin Liang, Dongdong Weng, Ruikang Ju, Lulu Feng:
MergeNet: Single High Dynamic Range Image Reconstruction Method. 9-14 - Yunlong Chen, Yuanyuan Pu, Zhengpeng Zhao, Dan Xu, Man A, Wenhua Qian:
Image Aesthetic Assessment Based on Emotion-Assisted Multi-Task Learning Network. 15-21 - Chen Feng, Tinghui Yin, Hong Song, Songyuan Tang, Jian Yang:
MDIFNet: Multiscale Distant Information Fusion Network for Thyroid Segmentation in 3D Ultrasound Image. 22-28 - Cong Zhu, Yan Shen:
Pyramid Attention Generative Adversarial Network for Image Compressed Sensing. 29-34 - Anqi Zhang, Wentao Li, Jieliang Shi, Jingfan Fan, Mingwei Gao, Jian Yang:
Cascaded Coarse-to-fine Network with Hybrid Loss for Eyeball Segmentation in CT Image. 35-40 - Nannan Zhang, Yi Zhou, Hongqing Liu, Zhuliang Lv:
Immersive Teleconferencing with Efficient Implementation of Fast Frequency Domain Adaptive Acoustical Echo Cancellation. 41-47 - Hao Ouyang, Sisi Xie, Ming Chen, Xiu Cao, Yu-Nan Wang, Ma Yuan:
A Method Based on LSTM Network for Detection of Abnormal Daily Electricity. 48-52 - Xingming Zhang, Bingyan Liao, Shiliang Huang, Yayun Wang, Jun Yin:
ME-Net: Multi-Step Enhancement Network for Semantic Segmentation. 53-59 - Liquan Ding, Xuesong Zhang, Tianyi Chen, Song Lin:
Research on Collaborative Detection and Location Method of Infrared and Radar Aircraft Based on Federated Filter. 60-63 - Yucheng Xiao:
Analysis of Deep Anomaly Detection Algorithms. 64-67
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.