61 citations · 110 across the 12 of their papers we have counts for
6 papers · 1 filter
Adapting Segment Anything Model for Unseen Object Instance Segmentation
Rui Cao, Chuanxin Song, Biqi Yang +3
Unseen Object Instance Segmentation (UOIS) is crucial for autonomous robots operating in unstructured environments. Previous approaches require full supervision on large-scale tabl…
UC-NeRF: Uncertainty-aware Conditional Neural Radiance Fields from Endoscopic Sparse Views
Jiaxin Guo, Jiangliu Wang, Ruofeng Wei +3
Visualizing surgical scenes is crucial for revealing internal anatomical structures during minimally invasive procedures. Novel View Synthesis is a vital technique that offers geom…
SR-Mamba: Effective Surgical Phase Recognition with State Space Model
Rui Cao, Jiangliu Wang, Yun-Hui Liu
Surgical phase recognition is crucial for enhancing the efficiency and safety of computer-assisted interventions. One of the fundamental challenges involves modeling the long-dista…
Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction
Jiaxin Guo, Jiangliu Wang, Di Kang +3
Real-time 3D reconstruction of surgical scenes plays a vital role in computer-assisted surgery, holding a promise to enhance surgeons' visibility. Recent advancements in 3D Gaussia…
Simultaneous Estimation of Shape and Force along Highly Deformable Surgical Manipulators Using Sparse FBG Measurement
Yiang Lu, Bin Li, Wei Chen +6
Recently, fiber optic sensors such as fiber Bragg gratings (FBGs) have been widely investigated for shape reconstruction and force estimation of flexible surgical robots. However,…
Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-Template Matching
Jiaxin Guo, Jiangliu Wang, Zhaoshuo Li +3
Soft tissue tracking is crucial for computer-assisted interventions. Existing approaches mainly rely on extracting discriminative features from the template and videos to recover c…