Editorial Board
FloodNet: Underwater image restoration based on residual dense learning
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation
Level set framework based on local scalable Gaussian distribution and adaptive-scale operator for accurate image segmentation and correction
A compact deep architecture for real-time saliency prediction
A novel biologically-inspired method for underwater image enhancement
Recaptured image forensics based on local ternary count of high order prediction error
Adaptive cropping with interframe relative displacement constraint for video retargeting
AGRFNet: Two-stage cross-modal and multi-level attention gated recurrent fusion network for RGB-D saliency detection
Top-down and bottom-up attentional multiple instance learning for still image action recognition
Underwater image enhancement via integrated RGB and LAB color models
Focus-and-Detect: A small object detection framework for aerial images