The advent of deep neural networks and improved computational power have brought a
revolutionary transformation in the fields of computer vision and image processing. Within …

Deep representation learning has improved automatic remote sensing change detection
(RSCD) in recent years. Existing methods emphasize primarily convolutional neural …

Current face sketch-photo synthesis researches generally embrace an image-to-image (I2I)
translation pipeline. However, these methods ignore the one-to-many mapping problem (ie …

Abstract Singing Voice Synthesis (SVS) strives to synthesize pleasing vocals based on
music scores and lyrics. The current acoustic models based on Transformer usually process …

The synthesis of facial sketch-photo has important applications in practical life, such as
crime investigation. Many convolutional neural networks (CNNs) based methods have been …

Benefiting from the advancement of deep learning techniques, face photo-sketch synthesis
has witnessed significant progress in recent years. Cutting-edge methods typically treat this …

Face sketch-to-photo synthesis is widely used in law enforcement and digital entertainment,
which can be achieved by Image-to-Image (I2I) translation. Traditional I2I translation …

Cross-modal hashing is an efficient method to embed high-dimensional heterogeneous
modal feature descriptors into a consistency-preserving Hamming space with low …

Joint learning for semantic segmentation and disparity estimation is adopted to scene
parsing for mutual benefit. However, existing joint learning approaches unify the two task …

Long time series forecasting (LTSF), which involves modeling relationships within long time
series to predict future values, has extensive applications in domains such as weather …