4 citations · 6 across the 8 of their papers we have counts for
5 papers · 1 filter
SurgNarrator: A Generative Retrieval Framework for Surgical Video Understanding
Yuqing Feng, Jiawei Ma, Kevin Qinghong Lin +6
Surgical procedures unfold as structured and recurring clinical events, whose real-time understanding via intraoperative surgical videos is critical for intraoperative decision-mak…
SurgCUT3R: Surgical Scene-Aware Continuous Understanding of Temporal 3D Representation
Kaiyuan Xu, Fangzhou Hong, Daniel Elson +1
Reconstructing surgical scenes from monocular endoscopic video is critical for advancing robotic-assisted surgery. However, the application of state-of-the-art general-purpose reco…
Tracking Everything in Robotic-Assisted Surgery
Bohan Zhan, Wang Zhao, Yi Fang +5
Accurate tracking of tissues and instruments in videos is crucial for Robotic-Assisted Minimally Invasive Surgery (RAMIS), as it enables the robot to comprehend the surgical scene…
HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation
An Dinh Vuong, Toan Tien Nguyen, Minh Nhat VU +5
Visual navigation, a foundational aspect of Embodied AI (E-AI), has been significantly studied in the past few years. While many 3D simulators have been introduced to support visua…
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry
Baoru Huang, Jian-Qing Zheng, Stamatia Giannarou +1
Depth estimation from a stereo image pair has become one of the most explored applications in computer vision, with most of the previous methods relying on fully supervised learnin…