Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions

no code implementations • 30 Aug 2021 • Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Guoqi Li, Weisheng Dong, Jianbo Shi

Visual recognition is currently one of the most important and active research areas in computer vision, pattern recognition, and even the general field of artificial intelligence.

ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning

no code implementations • 31 Jan 2018 • Xiaotong Lu, Weisheng Dong, Peiyao Wang, Guangming Shi, Xuemei Xie

Instead of reconstructing individual blocks, the whole image is reconstructed from the linear convolutional measurements.

Blocking Compressive Sensing

Denoising Prior Driven Deep Neural Network for Image Restoration

no code implementations • 21 Jan 2018 • Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu

Then, the iterative process is unfolded into a deep neural network, which is composed of multiple denoisers modules interleaved with back-projection (BP) modules that ensure the observation consistencies.

Deblurring Image Denoising +2