3 papers
cs.CV2024
Distilled Pooling Transformer Encoder for Efficient Realistic Image Dehazing
Le-Anh Tran, Dong-Chul Park
This paper proposes a lightweight neural network designed for realistic image dehazing, utilizing a Distilled Pooling Transformer Encoder, named DPTE-Net. Recently, while vision tr…
cs.CV2024
Haze Removal via Regional Saturation-Value Translation and Soft Segmentation
Le-Anh Tran, Dong-Chul Park
This paper proposes a single image dehazing prior, called Regional Saturation-Value Translation (RSVT), to tackle the color distortion problems caused by conventional dehazing appr…
cs.CV2024
Toward Improving Robustness of Object Detectors Against Domain Shift
Le-Anh Tran, Chung Nguyen Tran, Dong-Chul Park +2
This paper proposes a data augmentation method for improving the robustness of driving object detectors against domain shift. Domain shift problem arises when there is a significan…