3 papers
cs.CV2026
MaCo-GAN: Manifold-Contrastive Adversarial Learning for Single Image Super-Resolution
Daeyoung Han, Seongmin Hwang, Moongu Jeon
Conventional Generative Adversarial Networks (GANs) for Single Image Super-Resolution (SISR) often struggle with hallucinated artifacts, largely because standard discriminators eva…
cs.CV2025
Multispectral Detection Transformer with Infrared-Centric Feature Fusion
Seongmin Hwang, Daeyoung Han, Moongu Jeon
Multispectral object detection aims to leverage complementary information from visible (RGB) and infrared (IR) modalities to enable robust performance under diverse environmental c…
cs.CV2025
DG-DETR: Toward Domain Generalized Detection Transformer
Seongmin Hwang, Daeyoung Han, Moongu Jeon
End-to-end Transformer-based detectors (DETRs) have demonstrated strong detection performance. However, domain generalization (DG) research has primarily focused on convolutional n…