EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

1 code implementation • 14 May 2024 • Beilei Cui, Mobarakol Islam, Long Bai, An Wang, Hongliang Ren

We propose Endoscopic Depth Any Camera (EndoDAC) which is an efficient self-supervised depth estimation framework that adapts foundation models to endoscopic scenes.

Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

2 code implementations • 29 Jan 2024 • Yiming Huang, Beilei Cui, Long Bai, Ziqi Guo, Mengya Xu, Mobarakol Islam, Hongliang Ren

In the realm of robot-assisted minimally invasive surgery, dynamic scene reconstruction can significantly enhance downstream tasks and improve surgical outcomes.

Dynamic Reconstruction Monocular Depth Estimation +2

Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery

1 code implementation • 11 Jan 2024 • Beilei Cui, Mobarakol Islam, Long Bai, Hongliang Ren

There is clear evidence in the results that zero-shot prediction on pre-trained weights in computer vision datasets or naive fine-tuning is not sufficient to use the foundation model in the surgical domain directly.

3D Reconstruction Depth Estimation

Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation

1 code implementation • 12 Jul 2023 • Beilei Cui, Minqing Zhang, Mengya Xu, An Wang, Wu Yuan, Hongliang Ren

Therefore, Temporal Feature Affinity Learning (TFAL) is devised to indicate possible noisy labels by evaluating the affinity between pixels in two adjacent frames.

Image Segmentation Medical Image Segmentation +4