57 citations · 132 across the 25 of their papers we have counts for
4 papers · 1 filter
Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration
Feng Li, Runmin Cong, Huihui Bai +3
Recently, convolutional neural network (CNN) has demonstrated significant success for image restoration (IR) tasks (e.g., image super-resolution, image deblurring, rain streak remo…
Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-Attention
Feng Li, Runming Cong, Huihui Bai +1
Recently, Convolutional Neural Networks (CNN) based image super-resolution (SR) have shown significant success in the literature. However, these methods are implemented as single-p…
Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning
Lijun Zhao, Huihui Bai, Anhong Wang +1
In this paper, we introduce a deep multiple description coding (MDC) framework optimized by minimizing multiple description (MD) compressive loss. First, MD multi-scale-dilated enc…
Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation
Lijun Zhao, Jinjing Zhang, Fan Zhang +3
Most deep image smoothing operators are always trained repetitively when different explicit structure-texture pairs are employed as label images for each algorithm configured with…