Left-right Discrepancy for Adversarial Attack on Stereo Networks

no code implementations • 14 Jan 2024 • Pengfei Wang, Xiaofei Hui, Beijia Lu, Nimrod Lilith, Jun Liu, Sameer Alam

Stereo matching neural networks often involve a Siamese structure to extract intermediate features from left and right images.

Adversarial Attack Disparity Estimation +1

ColonNeRF: High-Fidelity Neural Reconstruction of Long Colonoscopy

no code implementations • 4 Dec 2023 • Yufei Shi, Beijia Lu, Jia-Wei Liu, Ming Li, Mike Zheng Shou

Specifically, to reconstruct the entire colon in a piecewise manner, our ColonNeRF introduces a region division and integration module, effectively reducing shape dissimilarity and ensuring geometric consistency in each segment.

Neural Rendering Novel View Synthesis

Generating Images with 3D Annotations Using Diffusion Models

no code implementations • 13 Jun 2023 • Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Xiaoding Yuan, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu, Alan Yuille

With explicit 3D geometry control, we can easily change the 3D structures of the objects in the generated images and obtain ground-truth 3D annotations automatically.

3D Pose Estimation Style Transfer

Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images

no code implementations • 27 Jan 2023 • Fei Pan, Yutong Wu, Kangning Cui, Shuxun Chen, Yanfang Li, Yaofang Liu, Adnan Shakoor, Han Zhao, Beijia Lu, Shaohua Zhi, Raymond Chan, Dong Sun

In this study, we developed a novel deep-learning algorithm called dual-view selective instance segmentation network (DVSISN) for segmenting unstained adherent cells in differential interference contrast (DIC) images.

Instance Segmentation Segmentation +1