Runmin Cong

Restormer: Efficient Transformer for High-Resolution Image Restoration

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Rethinking Coarse-to-Fine Approach in Single Image Deblurring

Industrial Internet-of-Things Security Enhanced With Deep Learning Approaches for Smart Cities

Industrial Pervasive Edge Computing-Based Intelligence IoT for Surveillance Saliency Detection

Video-Based Evidence Analysis and Extraction in Digital Forensic Investigation

Deep learning for monocular depth estimation: A review

Object Detection in 20 Years: A Survey

A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues

A review on the attention mechanism of deep learning

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior

Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution

CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection

Review of Visual Saliency Detection With Comprehensive Information

Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion

Color-Guided Depth Map Super Resolution Using Convolutional Neural Network