activity
20192024
most citedEncoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images

21 citations · 33 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GR2024

Hybrid Explicit Representation for Ultra-Realistic Head Avatars

Hongrui Cai, Yuting Xiao, Xuan Wang +5

We introduce a novel approach to creating ultra-realistic head avatars and rendering them in real-time (>30fps at resolution). First, we propose a hybrid explici…

cs.CV2023

DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction

Yuting Xiao, Jingwei Xu, Zehao Yu +1

In recent years, the neural implicit surface has emerged as a powerful representation for multi-view surface reconstruction due to its simplicity and state-of-the-art performance.…

cs.CV2022★ 2 cited

ResNeRF: Geometry-Guided Residual Neural Radiance Field for Indoor Scene Novel View Synthesis

Yuting Xiao, Yiqun Zhao, Yanyu Xu +1

We represent the ResNeRF, a novel geometry-guided two-stage framework for indoor scene novel view synthesis. Be aware of that a good geometry would greatly boost the performance of…

cs.CV2022

Taylor3DNet: Fast 3D Shape Inference With Landmark Points Based Taylor Series

Yuting Xiao, Jiale Xu, Shenghua Gao

Benefiting from the continuous representation ability, deep implicit functions can represent a shape at infinite resolution. However, extracting high-resolution iso-surface from an…

cs.CV2020★ 6 cited

Amodal Segmentation Based on Visible Region Segmentation and Shape Prior

Yuting Xiao, Yanyu Xu, Ziming Zhong +3

Almost all existing amodal segmentation methods make the inferences of occluded regions by using features corresponding to the whole image. This is against the human's amodal perce…

eess.IV2020★ 21 cited

Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images

Kang Zhou, Yuting Xiao, Jianlong Yang +6

Anomaly detection in retinal image refers to the identification of abnormality caused by various retinal diseases/lesions, by only leveraging normal images in training phase. Norma…