Display Visibility Improvement through Content and Ambient Light-Adaptive Image Enhancement

Efficient Meta-Learning through Task-Specific Pseudo Labeling

Fast Filter Pruning via Coarse-to-fine Neural Architecture Search and Contrastive Knowledge Transfer

Improving Vision Transformers to Learn Small-Size Dataset From Scratch

Cyclic Learning based Light-weight Network for Inverse Tone Mapping

CFA: Coupled-Hypersphere-Based Feature Adaptation for Target-Oriented Anomaly Localization

Image based rainfall amount estimation for auto-wiping of vehicles

Balanced knowledge distillation for one-stage object detector

Synthesized Rain images for Deraining Algorithms

Knowledge Transfer via Decomposing Essential Information in Convolutional Neural Networks