3 citations · 6 across the 4 of their papers we have counts for
4 papers
CtRNet-X: Camera-to-Robot Pose Estimation in Real-world Conditions Using a Single Camera
Jingpei Lu, Zekai Liang, Tristin Xie +4
Camera-to-robot calibration is crucial for vision-based robot control and requires effort to make it accurate. Recent advancements in markerless pose estimation methods have elimin…
BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields
Shreya Saha, Zekai Liang, Shan Lin +3
Reconstruction of deformable scenes from endoscopic videos is important for many applications such as intraoperative navigation, surgical visual perception, and robotic surgery. It…
BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives
Sainan Liu, Shan Lin, Jingpei Lu +2
Implicit neural representations have become pivotal in robotic perception, enabling robots to comprehend 3D environments from 2D images. Given a set of camera poses and associated…
Towards Panoptic 3D Parsing for Single Image in the Wild
Sainan Liu, Vincent Nguyen, Yuan Gao +2
Performing single image holistic understanding and 3D reconstruction is a central task in computer vision. This paper presents an integrated system that performs dense scene labeli…