Hao Ding

According to our database, Hao Ding authored at least 27 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction.

Aiza Maksutova, Lalithkumar Seenivasan, Hao Ding, Jiru Xu, Chenhao Yu, Chenyan Jing, Yiqing Shen, Mathias Unberath

CoRR, April, 2026

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation.

Sampath Rapuri, Lalithkumar Seenivasan, Dominik Schneider, Roger Soberanis-Mukul, Yufan He, Hao Ding, Jiru Xu, Chenhao Yu, Chenyan Jing, Pengfei Guo, Daguang Xu, Mathias Unberath

CoRR, March, 2026

Towards Controllable Video Synthesis of Routine and Rare OR Events.

Dominik Schneider, Lalithkumar Seenivasan, Sampath Rapuri, Vishalroshan Anil, Aiza Maksutova, Yiqing Shen, Jan Emily Mangulabnan, Hao Ding, Jose L. Porras, Masaru Ishii, Mathias Unberath

CoRR, February, 2026

2025

BronchOpt : Vision-Based Pose Optimization with Fine-Tuned Foundation Models for Accurate Bronchoscopy Navigation.

Hongchao Shu, Roger D. Soberanis-Mukul, Jiru Xu, Hao Ding, Morgan Ringel, Mali Shen, Saif Iftekar Sayed, Hedyeh Rafii-Tari, Mathias Unberath

CoRR, November, 2025

TwinOR: Photorealistic Digital Twins of Dynamic Operating Rooms for Embodied AI Research.

Han Zhang, Yiqing Shen, Roger D. Soberanis-Mukul, Ankita Ghosh, Hao Ding, Lalithkumar Seenivasan, Jose L. Porras, Zhekai Mao, Chenjia Li, Wenjie Xiao, Lonny Yarmus, Angela Christine Argento, Masaru Ishii, Mathias Unberath

CoRR, November, 2025

Did you just see that? Arbitrary view synthesis for egocentric replay of operating room workflows from ambient sensors.

Han Zhang, Lalithkumar Seenivasan, Jose L. Porras, Roger D. Soberanis-Mukul, Hao Ding, Hongchao Shu, Benjamin D. Killeen, Ankita Ghosh, Lonny Yarmus, Masaru Ishii, Angela Christine Argento, Mathias Unberath

CoRR, October, 2025

Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance.

Lalithkumar Seenivasan, Jiru Xu, Roger D. Soberanis-Mukul, Hao Ding, Grayson Byrd, Yu-Chun Ku, Jose L. Porras, Masaru Ishii, Mathias Unberath

CoRR, July, 2025

Position: Foundation Models Need Digital Twin Representations.

Yiqing Shen, Hao Ding, Lalithkumar Seenivasan, Tianmin Shu, Mathias Unberath

CoRR, May, 2025

MoSFormer: Augmenting Temporal Context with Memory of Surgery for Surgical Phase Recognition.

Hao Ding, Xu Lian, Mathias Unberath

CoRR, March, 2025

Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video.

Jiaxin Guo, Wenzhen Dong, Tianyu Huang, Hao Ding, Ziyi Wang, Haomin Kuang, Qi Dou, Yun-Hui Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin Representation.

Hao Ding, Yuqian Zhang, Wenzheng Cheng, Xinyu Wang, Xu Lian, Chenhao Yu, Hongchao Shu, Ji Woong Kim, Axel Krieger, Mathias Unberath

Proceedings of the Digital Twin for Healthcare - First International Workshop, 2025

Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models.

Hao Ding, Lalithkumar Seenivasan, Hongchao Shu, Grayson Byrd, Han Zhang, Pu Xiao, Juan Antonio Barragan, Russell H. Taylor, Peter Kazanzides, Mathias Unberath

Proceedings of the Collaborative Intelligence and Autonomy in Image-Guided Surgery, 2025

dARt Vinci: Egocentric Data Collection for Surgical Robot Learning at Scale.

Yihao Liu, Yu-Chun Ku, Jiaming Zhang, Hao Ding, Peter Kazanzides, Mehran Armand

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024

Neural Finite-State Machines for Surgical Phase Recognition.

Hao Ding, Zhongpai Gao, Benjamin Planche, Tianyu Luan, Abhishek Sharma, Meng Zheng, Ange Lou, Terrence Chen, Mathias Unberath, Ziyan Wu

CoRR, 2024

Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin-based Scene Representation.

Hao Ding, Yuqian Zhang, Hongchao Shu, Xu Lian, Ji Woong Kim, Axel Krieger, Mathias Unberath

CoRR, 2024

DaRePlane: Direction-aware Representations for Dynamic Scene Reconstruction.

Ange Lou, Benjamin Planche, Zhongpai Gao, Yamin Li, Tianyu Luan, Hao Ding, Meng Zheng, Terrence Chen, Ziyan Wu, Jack H. Noble

CoRR, 2024

Towards Robust Automation of Surgical Systems via Digital Twin-based Scene Representations from Foundation Models.

Hao Ding, Lalithkumar Seenivasan, Hongchao Shu, Grayson Byrd, Han Zhang, Pu Xiao, Juan Antonio Barragan, Russell H. Taylor, Peter Kazanzides, Mathias Unberath

CoRR, 2024

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions - An EndoVis'24 Challenge.

Hao Ding, Tuxun Lu, Yuqian Zhang, Ruixing Liang, Hongchao Shu, Lalithkumar Seenivasan, Yonghao Long, Qi Dou, Cong Gao, Mathias Unberath

CoRR, 2024

Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images.

Tianyu Luan, Zhongpai Gao, Luyuan Xie, Abhishek Sharma, Hao Ding, Benjamin Planche, Meng Zheng, Ange Lou, Terrence Chen, Junsong Yuan, Ziyan Wu

Proceedings of the Computer Vision - ECCV 2024, 2024

DaReNeRF: Direction-aware Representation for Dynamic Scenes.

Ange Lou, Benjamin Planche, Zhongpai Gao, Yamin Li, Tianyu Luan, Hao Ding, Terrence Chen, Jack H. Noble, Ziyan Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Twin-S: a digital twin for skull base surgery.

Hongchao Shu, Ruixing Liang, Zhaoshuo Li, Anna Goodridge, Xiangyu Zhang, Hao Ding, Nimesh Nagururu, Manish Sahu, Francis X. Creighton, Russell H. Taylor, Adnan Munawar, Mathias Unberath

Int. J. Comput. Assist. Radiol. Surg., 2023

Rethinking causality-driven robot tool segmentation with temporal constraints.

Hao Ding, Jie Ying Wu, Zhaoshuo Li, Mathias Unberath

Int. J. Comput. Assist. Radiol. Surg., 2023

2022

CaRTS: Causality-Driven Robot Tool Segmentation from Vision and Kinematics Data.

Hao Ding, Jintan Zhang, Peter Kazanzides, Jie Ying Wu, Mathias Unberath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation.

Zhaoshuo Li, Nathan Drenkow, Hao Ding, Andy S. Ding, Alexander Lu, Francis X. Creighton, Russell H. Taylor, Mathias Unberath

CoRR, 2021

Influence Selection for Active Learning.

Zhuoming Liu, Hao Ding, Huaping Zhong, Weijia Li, Jifeng Dai, Conghui He

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deeply Shape-Guided Cascade for Instance Segmentation.

Hao Ding, Siyuan Qiao, Alan L. Yuille, Wei Shen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Shape-aware Feature Extraction for Instance Segmentation.

Hao Ding, Siyuan Qiao, Wei Shen, Alan L. Yuille

CoRR, 2019