Jin Ye
Jin Ye
Monash University
Verified email at - Homepage
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Attention-driven dynamic graph convolutional network for multi-label image recognition
J Ye, J He, X Peng, W Wu, Y Qiao
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Multi-label ocular disease classification with a dense correlation deep neural network
J He, C Li, J Ye, Y Qiao, L Gu
Biomedical Signal Processing and Control 63, 102167, 2021
J Cheng, J Ye, Z Deng, J Chen, T Li, H Wang, Y Su, Z Huang, J Chen, ...
arXiv preprint arXiv:2308.16184, 2023
Dense correlation network for automated multi-label ocular disease detection with paired color fundus photographs
C Li, J Ye, J He, S Wang, Y Qiao, L Gu
2020 IEEE 17th international symposium on biomedical imaging (ISBI), 1-4, 2020
A robust mtmc tracking system for ai-city challenge 2021
J Ye, X Yang, S Kang, Y He, W Zhang, L Huang, M Jiang, W Zhang, Y Shi, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Revisiting nnu-net for iterative pseudo labeling and efficient sliding window inference
Z Huang, H Wang, J Ye, J Niu, C Tu, Y Yang, S Du, Z Deng, L Gu, J He
MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ …, 2022
The autopet challenge: towards fully automated lesion segmentation in oncologic pet/ct imaging
S Gatidis, M Früh, M Fabritius, S Gu, K Nikolaou, C La Fougère, J Ye, J He, ...
Stu-net: Scalable and transferable medical image segmentation models empowered by large-scale supervised pre-training
Z Huang, H Wang, Z Deng, J Ye, Y Su, H Sun, J He, Y Gu, L Gu, S Zhang, ...
arXiv preprint arXiv:2304.06716, 2023
Coarse to fine: Domain adaptive crowd counting via adversarial scoring network
Z Zou, X Qu, P Zhou, S Xu, X Ye, W Wu, J Ye
Proceedings of the 29th ACM International Conference on Multimedia, 2185-2194, 2021
Dsanet: Dynamic segment aggregation network for video-level representation learning
W Wu, Y Zhao, Y Xu, X Tan, D He, Z Zou, J Ye, Y Li, M Yao, Z Dong, Y Shi
Proceedings of the 29th ACM International Conference on Multimedia, 1903-1911, 2021
H Wang, S Guo, J Ye, Z Deng, J Cheng, T Li, J Chen, Y Su, Z Huang, ...
arXiv preprint arXiv:2310.15161, 2023
Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification
J He, C Li, J Ye, Y Qiao, L Gu
Biomedical Signal Processing and Control 67, 102491, 2021
Visual-textual sentiment analysis in product reviews
J Ye, X Peng, Y Qiao, H Xing, J Li, R Ji
2019 IEEE International Conference on Image Processing (ICIP), 869-873, 2019
Classification of ocular diseases employing attention-based unilateral and bilateral feature weighting and fusion
J He, C Li, J Ye, S Wang, Y Qiao, L Gu
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1258-1261, 2020
Box-grained reranking matching for multi-camera multi-target tracking
X Yang, J Ye, J Lu, C Gong, M Jiang, X Lin, W Zhang, X Tan, Y Li, X Ye, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
A novel hybrid convolutional neural network for accurate organ segmentation in 3d head and neck CT images
Z Chen, C Li, J He, J Ye, D Song, S Wang, L Gu, Y Qiao
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Exploring vanilla u-net for lesion segmentation from whole-body fdg-pet/ct scans
J Ye, H Wang, Z Huang, Z Deng, Y Su, C Tu, Q Wu, Y Yang, M Wei, J Niu, ...
arXiv preprint arXiv:2210.07490, 2022
Sa-med2d-20m dataset: Segment anything in 2d medical imaging with 20 million masks
J Ye, J Cheng, J Chen, Z Deng, T Li, H Wang, Y Su, Z Huang, J Chen, ...
arXiv preprint arXiv:2311.11969, 2023
Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance
Y Su, J Cheng, C Zhong, C Jiang, J Ye, J He
Neurocomputing 545, 126233, 2023
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images
Y Su, J Cheng, C Zhong, Y Zhang, J Ye, J He, J Liu
Biomedical Signal Processing and Control 83, 104699, 2023
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