Yu Tian

发表

NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification

G. Carneiro, Chongjian Wang, Vasileios Belagiannis, 2021, 2103.04053.

Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

G. Carneiro, J. Verjans, Chongjian Wang, 2022, MICCAI.

NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification

G. Carneiro, Chongjian Wang, Vasileios Belagiannis, 2021, MICCAI.

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images

Lucy Q. Shen, Mojtaba Sedigh Fazli, Michael V. Boland, 2022, ArXiv.

Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features

Gustavo Carneiro, Rajvinder Singh, Johan W. Verjans, 2021, ArXiv.

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

Seon Ho Shin, G. Carneiro, Rajvinder Singh, 2021, MICCAI.

Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification pdf

Gustavo Carneiro, Filipe R. Cordeiro, Ian Reid, 2021, MLMI@MICCAI.

Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors

Gustavo Carneiro, Guansong Pang, Yuanhong Chen, 2021, ArXiv.

Translation Consistent Semi-supervised Segmentation for 3D Medical Images

G. Carneiro, Chongjian Wang, Vasileios Belagiannis, 2022, ArXiv.

UMA-Net: an unsupervised representation learning network for 3D point cloud classification.

Mingquan Zhou, Kang Li, Yu Tian, 2022, Journal of the Optical Society of America. A, Optics, image science, and vision.

Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?

Yu Hen Hu, Haichao Yu, Heng Wang, 2023, ArXiv.

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder

G. Carneiro, Rajvinder Singh, J. Verjans, 2022, MLMI@MICCAI.

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization

Mengyu Wang, T. Elze, Yu Tian, 2023, ArXiv.

Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning

Mengyu Wang, T. Elze, Yu Tian, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification

G. Carneiro, Fengbei Liu, Yuanhong Chen, 2022, ArXiv.

Noisy Label Learning for Large-scale Medical Image Classification

I. Reid, G. Carneiro, F. Cordeiro, 2021, ArXiv.

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma

Lucy Q. Shen, Mojtaba Sedigh Fazli, Michael V. Boland, 2023, IEEE Journal of Biomedical and Health Informatics.

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization

Mengyu Wang, T. Elze, Yu Tian, 2023, IEEE transactions on medical imaging.