Yueming Jin
Orcid: 0000-0003-3775-3877
According to our database1,
Yueming Jin
authored at least 67 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Trans. Medical Imaging, January, 2024
Medical Image Anal., January, 2024
Structural and Pixel Relation Modeling for Semisupervised Instrument Segmentation From Surgical Videos.
IEEE Trans. Instrum. Meas., 2024
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation.
CoRR, 2024
Not just Birds and Cars: Generic, Scalable and Explainable Models for Professional Visual Recognition.
CoRR, 2024
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery.
CoRR, 2024
CoRR, 2024
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion.
CoRR, 2024
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Medical Image Anal., May, 2023
Keep Your Eye on the Best: Contrastive Regression Transformer for Skill Assessment in Robotic Surgery.
IEEE Robotics Autom. Lett., March, 2023
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery.
CoRR, 2023
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness.
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023
Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Dynamic Interactive Relation Capturing via Scene Graph Learning for Robotic Surgical Report Generation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
Toward Image-Guided Automated Suture Grasping Under Complex Environments: A Learning-Enabled and Optimization-Based Holistic Framework.
IEEE Trans Autom. Sci. Eng., 2022
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery.
Medical Image Anal., 2022
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network.
Medical Image Anal., 2022
Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge.
CoRR, 2022
Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis.
Int. J. Comput. Assist. Radiol. Surg., 2022
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
IEEE Trans. Medical Imaging, 2021
Anchor-guided online meta adaptation for fast one-Shot instrument segmentation from robotic surgical videos.
Medical Image Anal., 2021
Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition.
Medical Image Anal., 2021
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.
Medical Image Anal., 2021
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
CoRR, 2021
Accurate instance segmentation of surgical instruments in robotic surgery: model refinement and cross-dataset evaluation.
Int. J. Comput. Assist. Radiol. Surg., 2021
Efficient Global-Local Memory for Real-Time Instrument Segmentation of Robotic Surgical Video.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Multi-task recurrent convolutional network with correlation loss for surgical video analysis.
Medical Image Anal., 2020
LRTD: long-range temporal dependency based active learning for surgical workflow recognition.
Int. J. Comput. Assist. Radiol. Surg., 2020
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network.
IEEE Trans. Medical Imaging, 2018
2017
3D deeply supervised network for automated segmentation of volumetric medical images.
Medical Image Anal., 2017
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Non-Local Sparse and Low-Rank Regularization for Structure-Preserving Image Smoothing.
Comput. Graph. Forum, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2014
Proceedings of the IEEE International Conference on Information and Automation, 2014