Baoru Huang
Orcid: 0000-0002-4421-652X
According to our database1,
Baoru Huang
authored at least 53 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, August, 2025
I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation.
CoRR, July, 2025
CoRR, June, 2025
StereoMamba: Real-time and Robust Intraoperative Stereo Disparity Estimation via Long-range Spatial Dependencies.
CoRR, April, 2025
Embodied Chain of Action Reasoning with Multi-Modal Foundation Model for Humanoid Loco-manipulation.
CoRR, April, 2025
EndoLRMGS: Complete Endoscopic Scene Reconstruction combining Large Reconstruction Modelling and Gaussian Splatting.
CoRR, March, 2025
Hybrid Deep Reinforcement Learning for Radio Tracer Localisation in Robotic-assisted Radioguided Surgery.
CoRR, March, 2025
CoRR, March, 2025
CoRR, January, 2025
SplineFormer: An Explainable Transformer-Based Approach for Autonomous Endovascular Navigation.
CoRR, January, 2025
Laparoscopic Scene Analysis for Intraoperative Visualisation of Gamma Probe Signals in Minimally Invasive Cancer Surgery.
CoRR, January, 2025
2024
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration.
Medical Image Anal., January, 2024
SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data.
CoRR, 2024
Nested ResNet: A Vision-Based Method for Detecting the Sensing Area of a Drop-in Gamma Probe.
CoRR, 2024
SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Spatial-temporal graph feature learning driven by time-frequency similarity assessment for robust fault diagnosis of rotating machinery.
Adv. Eng. Informatics, 2024
FedSSL: Federated Learning with Shape-Sensitive Loss for Catheter and Guidewire Segmentation.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Computer Vision - ACCV 2024, 2024
2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Detecting the Sensing Area of a Laparoscopic Probe in Minimally Invasive Cancer Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation.
CoRR, 2022
An enhanced marker pattern that achieves improved accuracy in surgical tool tracking.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
When CNN Meet with ViT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images.
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Self-supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Tracking and visualization of the sensing area for a tethered laparoscopic gamma probe.
Int. J. Comput. Assist. Radiol. Surg., 2020
2019
IEEE Robotics Autom. Lett., 2019