activity
20202026
most citedHypothesis Testing for Progressive Kernel Estimation and VCM Framework

2 citations · 3 across the 8 of their papers we have counts for

collaborators

8 papers

cs.GR2026

Occlusion-Point Reuse for Ray-Traced Ambient Occlusion and Shadow

Haojie Jin, Fujia Su, Zehui Lin +9

Ambient occlusion (AO) and soft shadows are critical visibility cues for spatial perception in real-time rendering. Hardware ray tracing provides a direct way to evaluate these eff…

cs.GR2025★ 2 cited

Hypothesis Testing for Progressive Kernel Estimation and VCM Framework

Zehui Lin, Chenxiao Hu, Jinzhu Jia +1

Identifying an appropriate radius for unbiased kernel estimation is crucial for the efficiency of radiance estimation. However, determining both the radius and unbiasedness still f…

cs.CV2024

UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation

Zehui Lin, Zhuoneng Zhang, Xindi Hu +5

Ultrasound is widely used in clinical practice due to its affordability, portability, and safety. However, current AI research often overlooks combined disease prediction and tissu…

cs.CV2022

Masked Video Modeling with Correlation-aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound

Zehui Lin, Ruobing Huang, Dong Ni +2

Breast cancer is one of the leading causes of cancer deaths in women. As the primary output of breast screening, breast ultrasound (US) video contains exclusive dynamic information…

eess.IV2022

Multi-Attribute Attention Network for Interpretable Diagnosis of Thyroid Nodules in Ultrasound Images

Van T. Manh, Jianqiao Zhou, Xiaohong Jia +7

Ultrasound (US) is the primary imaging technique for the diagnosis of thyroid cancer. However, accurate identification of nodule malignancy is a challenging task that can elude les…

cs.CV2022

Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

Jiamin Liang, Xin Yang, Yuhao Huang +8

Ultrasound (US) is widely used for its advantages of real-time imaging, radiation-free and portability. In clinical practice, analysis and diagnosis often rely on US sequences rath…

cs.CV2021

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

Shuangchi He, Zehui Lin, Xin Yang +13

Standard plane recognition plays an important role in prenatal ultrasound (US) screening. Automatically recognizing the standard plane along with the corresponding anatomical struc…

eess.IV2020★ 1 cited

Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound

Wang Jian, Miao Juzheng, Yang Xin +9

Breast cancer is the most common invasive cancer in women. Besides the primary B-mode ultrasound screening, sonographers have explored the inclusion of Doppler, strain and shear-wa…