Jingyang Lin
Jingyang Lin
Other names林景仰
Verified email at - Homepage
Cited by
Cited by
Improving fast segmentation with teacher-student learning
J Xie, B Shuai, JF Hu, J Lin, WS Zheng
arXiv preprint arXiv:1810.08476, 2018
Video understanding with large language models: A survey
Y Tang, J Bi, S Xu, L Song, S Liang, T Wang, D Zhang, J An, J Lin, R Zhu, ...
arXiv preprint arXiv:2312.17432, 2023
A low rank promoting prior for unsupervised contrastive learning
Y Wang, J Lin, Q Cai, Y Pan, T Yao, H Chao, T Mei
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2667-2681, 2022
Videoxum: Cross-modal visual and textural summarization of videos
J Lin, H Hua, M Chen, Y Li, J Hsiao, C Ho, J Luo
IEEE Transactions on Multimedia, 2023
Improving self-supervised learning with automated unsupervised outlier arbitration
Y Wang, J Lin, J Zou, Y Pan, T Yao, T Mei
Advances in Neural Information Processing Systems 34, 27617-27630, 2021
Out-of-distribution detection via conditional kernel independence model
Y Wang, J Zou, J Lin, Q Ling, Y Pan, T Yao, T Mei
Advances in Neural Information Processing Systems 35, 36411-36425, 2022
Fine-grained image-text alignment in medical imaging enables cyclic image-report generation
W Chen, X Li, L Shen, Y Yuan
arXiv preprint arXiv:2312.08078, 2023
Out-of-distribution detection with hilbert-schmidt independence optimization
J Lin, Y Wang, Q Cai, Y Pan, T Yao, H Chao, T Mei
arXiv preprint arXiv:2209.12807, 2022
Core-text: Improving scene text detection with contrastive relational reasoning
J Lin, Y Pan, R Lai, X Yang, H Chao, T Yao
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios
J Lin, Y Xia, J Zhang, K Yan, L Lu, J Luo, L Zhang
arXiv preprint arXiv:2404.15272, 2024
Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning
J Lin, J Chen, H Lyu, I Khodak, D Chhabra, CLD Richardson, I Prelipcean, ...
2023 IEEE International Conference on Digital Health (ICDH), 263-265, 2023
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