Search Results for author:
Found 8 papers, 6 papers with code
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution
In this paper, we propose a novel Hybrid Pixel-Unshuffled Network (HPUN) by introducing an efficient and effective downsampling module into the SR task.
Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble
Current Sign Language Recognition (SLR) methods usually extract features via deep neural networks and suffer overfitting due to limited and noisy data.
Dynamic Modelling of Combined Cycle Power Plant for Load Frequency Control With Large Penetration of Renewable Energy
In a hybrid power system with a large penetration of PV generation, PV panel is regarded as a negative load in the power system.
Skeleton Aware Multi-modal Sign Language Recognition
Sign language is commonly used by deaf or speech impaired people to communicate but requires significant effort to master.
Ranked #2 on
Sign Language Recognition
on WLASL-2000
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis
Even as impressive milestones are achieved in synthesizing faces, the importance of preserving identity is needed in practice and should not be overlooked.
Dual-Attention GAN for Large-Pose Face Frontalization
Face frontalization provides an effective and efficient way for face data augmentation and further improves the face recognition performance in extreme pose scenario.
Spatially Constrained GAN for Face and Fashion Synthesis
Besides, a segmentor network is constructed to impose spatial constraints on the generator.
Segmentation Guided Image-to-Image Translation with Adversarial Networks
Recently image-to-image translation has received increasing attention, which aims to map images in one domain to another specific one.
