Tong Yu
Affiliations:- University of Strasbourg, Strasbourg, France
According to our database1,
Tong Yu
authored at least 16 papers
between 2018 and 2023.
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Bibliography
2023
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal., October, 2023
Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition.
IEEE Trans. Medical Imaging, September, 2023
TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos.
Int. J. Comput. Assist. Radiol. Surg., September, 2023
Medical Image Anal., August, 2023
Medical Image Anal., August, 2023
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Medical Image Anal., May, 2023
Medical Image Anal., May, 2023
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures.
CoRR, 2023
2022
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos.
Medical Image Anal., 2022
2021
Recognition and retrieval tasks in large quasi-unannotated surgical video databases. (Reconnaissance et fouille dans une grande base de vidéos endoscopiques quasi-non annotée).
PhD thesis, 2021
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
CoRR, 2021
Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures.
Int. J. Comput. Assist. Radiol. Surg., 2021
2020
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2018
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition.
CoRR, 2018