activity
20192026
most citedFew-shot Medical Image Segmentation with Cycle-resemblance Attention

3 citations · 9 across the 9 of their papers we have counts for

collaborators

11 papers

cs.RO2026

Digital Twin-Driven VR Teleoperation with Multi-View Spatial Perception for Surgical Robots

Chang Liu, Chenhao Yu, Honghao Zhao +5

Current robot-assisted minimally-invasive surgery (RMIS) platforms provide a fixed console for the surgeon to view stereo endoscopic images and teleoperate instruments inside the p…

cs.CV2026

Geometry-Consistent Endoscopic Representations for Image-Guided Navigation via Structured Foundation Model Adaptation

Hongchao Shu, Roger D. Soberanis-Mukul, Hao Ding +5

Accurate vision-based navigation in monocular endoscopy is difficult due to limited depth cues, weak tissue texture, non-rigid deformation, and substantial appearance variation acr…

cs.CV2026

Reasoning Text-to-Video Retrieval for Operating Room Clips via Action-Driven Digital Twins

Yiqing Shen, Hao Ding, Mathias Unberath

Text-to-video retrieval in operating rooms (OR) is an enabling technology for OR safety, as it allows stakeholders to retrieve and inspect recordings of specific events. However, b…

cs.CV2026

Is Class Signal Clustered or Routed in Task-Induced Implicit Neural Representation Weight Spaces?

Xinyi Guo, Mingyi He, Haobin Ding +7

Implicit neural representations (INRs) encode images as neural-network weights, making image classification a problem of weight-space classifiability. A natural geometric hypothesi…

cs.CV2022★ 3 cited

Few-shot Medical Image Segmentation with Cycle-resemblance Attention

Hao Ding, Changchang Sun, Hao Tang +2

Recently, due to the increasing requirements of medical imaging applications and the professional requirements of annotating medical images, few-shot learning has gained increasing…

cs.RO2022

Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints

Hao Ding, Jie Ying Wu, Zhaoshuo Li +1

Purpose: Vision-based robot tool segmentation plays a fundamental role in surgical robots and downstream tasks. CaRTS, based on a complementary causal model, has shown promising pe…