Yixiong Chen
Yixiong Chen
Other names陈 亦雄
Johns Hopkins University, Google Research
Verified email at - Homepage
Cited by
Cited by
When person re-identification meets changing clothes
F Wan, Y Wu, X Qian, Y Chen, Y Fu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020
Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis
X Wu, Y Hao, K Sun, Y Chen, F Zhu, R Zhao, H Li
arXiv preprint arXiv:2306.09341, 2023
USCL: pretraining deep ultrasound image diagnosis model through video contrastive representation learning
Y Chen, C Zhang, L Liu, C Feng, C Dong, Y Luo, X Wan
MICCAI (oral), 627-637, 2021
Label-Free Liver Tumor Segmentation
Q Hu, Y Chen, J Xiao, S Sun, J Chen, A Yuille, Z Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks
Y Chen, A Yuille, Z Zhou
The Eleventh International Conference on Learning Representations (ICLR), 2023
X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models
Y Chen, L Liu, C Ding
arXiv preprint arXiv:2305.10843, 2023
Generating and weighting semantically consistent sample pairs for ultrasound contrastive learning
Y Chen, C Zhang, CHQ Ding, L Liu
IEEE Transactions on Medical Imaging 42 (5), 1388-1400, 2022
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging
Y Chen, L Liu, J Li, H Jiang, C Ding, Z Zhou
MICCAI (early accept), 706-716, 2023
Synthetic Tumors Make AI Segment Tumors Better
Q Hu, J Xiao, Y Chen, S Sun, JN Chen, A Yuille, Z Zhou
Medical Imaging Meets NeurIPS, 2022
HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining
C Zhang, Y Chen, L Liu, Q Liu, X Zhou
Proceedings of the Asian Conference on Computer Vision (ACCV), 229-246, 2022
Rethinking two consensuses of the transferability in deep learning
Y Chen, J Li, C Ding, L Liu
arXiv preprint arXiv:2212.00399, 2022
Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets
Y Chen, Z Zhou, A Yuille
arXiv preprint arXiv:2406.00327, 2024
Leveraging Noisy Labels of Nearest Neighbors for Label Correction and Sample Selection
H Jiang, Y Chen, L Liu, X Han, XP Zhang
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
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