activity
20232026
most citedLearning Continuous Exposure Value Representations for Single-Image HDR Reconstruction

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction

Chin-Yang Lin, Yang-Che Sun, Cheng Sun +5

Online 3D reconstruction models perform poorly on long videos. This happens because regressing poses relative to a fixed first-frame anchor forces extrapolation far beyond the trai…

cs.CV2026

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…

cs.CV2026

3AM: 3egment Anything with Adaptive Geometric Consistency in Videos

Yang-Che Sun, Cheng Sun, Chin-Yang Lin +4

Consistent video object tracking must preserve identity under large viewpoint changes, temporary absence, and nearby distractors. Memory-based trackers such as SAM2 rely on appeara…

cs.CV2025

LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos

Chin-Yang Lin, Cheng Sun, Fu-En Yang +3

LongSplat addresses critical challenges in novel view synthesis (NVS) from casually captured long videos characterized by irregular camera motion, unknown camera poses, and expansi…

cs.CV2025

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…

cs.CV2025

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models

Kuan-Hung Liu, Cheng-Kun Yang, Min-Hung Chen +2

In the task of reference-based image inpainting, an additional reference image is provided to restore a damaged target image to its original state. The advancement of diffusion mod…

cs.CV2024

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…

eess.IV2023★ 1 cited

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…