Related references
Note: Only part of the references are listed.Conditional generative adversarial networks based on the principle of homologycontinuity for face aging
Xin Ning et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2022)
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Yujun Shen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network
Boyun Li et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2021)
Robot Multimodal Object Perception and Recognition: Synthetic Maturation of Sensorimotor Learning in Embodied Systems
Raphael Braud et al.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2021)
Continuous learning of face attribute synthesis
Xin Ning et al.
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2021)
FEGAN: Flexible and Efficient Face Editing With Pre-Trained Generator
Xin Ning et al.
IEEE ACCESS (2020)
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild
Ali Mollahosseini et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2019)
Coarse-to-fine information integration in human vision
Kirsten Petras et al.
NEUROIMAGE (2019)
Inverting the Generator of a Generative Adversarial Network
Antonia Creswell et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
Symbol Emergence in Cognitive Developmental Systems: A Survey
Tadahiro Taniguchi et al.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2019)
The Perception of Emotion in Artificial Agents
Ruud Hortensius et al.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2018)
Age Progression/Regression by Conditional Adversarial Autoencoder
Zhifei Zhang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
Gong Cheng et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
Time course of visual perception: Coarse-to-fine processing and beyond
Jay Hegde
PROGRESS IN NEUROBIOLOGY (2008)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
Image quality assessment: From error visibility to structural similarity
Z Wang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)