Yu Tian

20

Papers

321

Total Citations

Papers (20)

AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection

FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification

Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis

Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection

Semantic Graph Convolutional Networks for 3D Human Pose Regression

ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification

Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation

Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens

Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification

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

Learning Support and Trivial Prototypes for Interpretable Image Classification

Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation

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

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning

Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

Dual Projection Generative Adversarial Networks for Conditional Image Generation

AI-generated Image Quality Assessment in Visual Communication

FairCLIP: Harnessing Fairness in Vision-Language Learning

Rethinking Kernel Methods for Node Representation Learning on Graphs