61 citations · 86 across the 8 of their papers we have counts for
9 papers · 1 filter
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…
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…
Speed Co-Augmentation for Unsupervised Audio-Visual Pre-training
Jiangliu Wang, Jianbo Jiao, Yibing Song +5
This work aims to improve unsupervised audio-visual pre-training. Inspired by the efficacy of data augmentation in visual contrastive learning, we propose a novel speed co-augmenta…
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Chongjian Ge, Jiangliu Wang, Zhan Tong +3
Contrastive learning methods train visual encoders by comparing views from one instance to others. Typically, the views created from one instance are set as positive, while views f…