Search from the table of contents of 2.5 million books
Advanced Search (Beta)
Home > Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I > Multi-view Image Generation by Cycle CVAE-GAN Networks
Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I |
Tom Gedeon; Kok Wai Wong; Minho Lee
Springer International Publishing
Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I
Multi-view Image Generation by Cycle CVAE-GAN Networks
Authors

Zhichen Lai; Chenwei Tang; Jiancheng Lv

ARI Id

1665231921194_5475202

Access

Not Available Free

Pages

43-54

DOI

10.1007/978-3-030-36708-4_4

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-36708-4_4

Table of Contents of Book
Showing 1 to 20 of 73 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxii
Front Matter
1-1
FH-GAN: Face Hallucination and Recognition Using Generative Adversarial Network
Bayram Bayramli; Usman Ali; Te Qi; Hongtao Lu
3-15
Adversarial Learning for Cross-Modal Retrieval with Wasserstein Distance
Qingrong Cheng; Youcai Zhang; Xiaodong Gu
16-29
Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization
Bo-Qun Ma; He Li; Wei-Long Zheng; Bao-Liang Lu
30-42
Multi-view Image Generation by Cycle CVAE-GAN Networks
Zhichen Lai; Chenwei Tang; Jiancheng Lv
43-54
B-DCGAN: Evaluation of Binarized DCGAN for FPGA
Hideo Terada; Hayaru Shouno
55-64
A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning
Huali Xu; Xiangdong Su; Tongyang Liu; Pengcheng Guo; Guanglai Gao; Feilong Bao
65-73
Weakly Supervised Fine-Grained Visual Recognition via Adversarial Complementary Attentions and Hierarchical Bilinear Pooling
Xiaofei Li; Jianming Liu; Mingwen Wang
74-85
Learning an Adversarial Network for Speech Enhancement Under Extremely Low Signal-to-Noise Ratio Condition
Xiangdong Su; Xiang Hao; Zhiyu Wang; Yun Liu; Huali Xu; Tongyang Liu et al.
86-97
HaGAN: Hierarchical Attentive Adversarial Learning for Task-Oriented Dialogue System
Ting Fang; Tingting Qiao; Duanqing Xu
98-109
Learning to Generate Ambiguous Sequences
David Iclanzan; László Szilágyi
110-121
Front Matter
123-123
Deep Learning for Combo Object Detection
Jing Zhao; Iman Tabatabaei Ardekani; Shaoning Pang
125-137
DasNet: Dynamic Adaptive Structure for Accelerating Multi-task Convolutional Neural Network
Yinan Ma; Jing Wu; Chengnian Long
138-150
Confusion-Aware Convolutional Neural Network for Image Classification
Liguang Yan; Baojiang Zhong; Kai-Kuang Ma
151-161
Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection
Rim Haidar; Irena Koprinska; Bryn Jeffries
162-174
Self-Adaptive Network Pruning
Jinting Chen; Zhaocheng Zhu; Cheng Li; Yuming Zhao
175-186
Text-Augmented Knowledge Representation Learning Based on Convolutional Network
Chunfeng Liu; Yan Zhang; Mei Yu; Ruiguo Yu; Xuewei Li; Mankun Zhao et al.
187-198
A Novel Online Ensemble Convolutional Neural Networks for Streaming Data
Xuan Cuong Pham; Thi Thu Thuy Nguyen; Alan Wee-Chung Liew
199-210
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 73 entries
Similar Books
Similar Chapters
Similar Thesis

Similar News

Similar Articles
Similar Article Headings