22 citations · 27 across the 5 of their papers we have counts for
5 papers
Efficient Multimodal Clinical Question Answering for Pulmonary Embolism Risk Assessment
Xiangyuan Xue, Yang Yu, Yan Gao +5
Pulmonary embolism (PE) is a high risk cardiopulmonary condition whose management requires both timely diagnosis and reliable assessment of future clinical risk. Because PE care ro…
Pocket-Dentist: On-Device Dental Image Understanding via Efficient Multimodal Large Language Models
Kai Bian, Xucheng Guo, Bin Chen +4
Evaluations of dental vision-language models remain fragmented across datasets, task definitions and metrics, and often ignore their computational cost. This limits their widesprea…
Parameter-Free Neural Lens Blur Rendering for High-Fidelity Composites
Lingyan Ruan, Bin Chen, Taehyun Rhee
Consistent and natural camera lens blur is important for seamlessly blending 3D virtual objects into photographed real-scenes. Since lens blur typically varies with scene depth, th…
Revisiting Image Deblurring with an Efficient ConvNet
Lingyan Ruan, Mojtaba Bemana, Hans-peter Seidel +2
Image deblurring aims to recover the latent sharp image from its blurry counterpart and has a wide range of applications in computer vision. The Convolution Neural Networks (CNNs)…
Learning to Deblur using Light Field Generated and Real Defocus Images
Lingyan Ruan, Bin Chen, Jizhou Li +1
Defocus deblurring is a challenging task due to the spatially varying nature of defocus blur. While deep learning approach shows great promise in solving image restoration problems…