Xiaoxi Lu — accepted AI-conference papers

2026

Real2Sim2Real: RetinalDepth-64K for Depth Estimation in Posterior Segment Ophthalmic Surgery

Bingwen Dong, Gan Liu, Xiaoxi Lu, Guangcheng Chen, Jialu Zhang, Yan Hu +2

CVPR 2026

Accurate depth estimation is crucial for 3D reconstruction and precise navigation in posterior segment ophthalmic surgery. However, acquiring annotated data remains challenging due to the impracticality of depth sensors under surgical microscopes. To overcome this limitation, we introduce RetinalDep

Cited by 0 Source ↗Scholar ↗

2024

Flattening Singular Values of Factorized Convolution for Medical Images

Zexin Feng, Na Zeng, Jiansheng Fang, Xingyue Wang, Xiaoxi Lu, Heng Meng +1

ICASSP 2024accepted

Convolutional neural networks (CNNs) have long been the paradigm of choice for robust medical image processing (MIP). Therefore, it is crucial to effectively and efficiently deploy CNNs on devices with different computing capabilities to support computer-aided diagnosis. Many methods employ factoriz…

Cited by 0 Source ↗Scholar ↗