1 citations · 1 across the 4 of their papers we have counts for
4 papers
HDR Reconstruction Boosting with Training-Free and Exposure-Consistent Diffusion
Yo-Tin Lin, Su-Kai Chen, Hou-Ning Hu +2
Single LDR to HDR reconstruction remains challenging for over-exposed regions where traditional methods often fail due to complete information loss. We present a training-free appr…
ORFormer: Occlusion-Robust Transformer for Accurate Facial Landmark Detection
Jui-Che Chiang, Hou-Ning Hu, Bo-Syuan Hou +4
Although facial landmark detection (FLD) has gained significant progress, existing FLD methods still suffer from performance drops on partially non-visible faces, such as faces wit…
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
Ji-Jia Wu, Andy Chia-Hao Chang, Chieh-Yu Chuang +6
This paper addresses text-supervised semantic segmentation, aiming to learn a model capable of segmenting arbitrary visual concepts within images by using only image-text pairs wit…
Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction
Su-Kai Chen, Hung-Lin Yen, Yu-Lun Liu +4
Deep learning is commonly used to reconstruct HDR images from LDR images. LDR stack-based methods are used for single-image HDR reconstruction, generating an HDR image from a deep…