Our Publications

Improving Fairness using Vision-Language Driven Image Augmentation

SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective

FedVQA: Personalized Federated Visual Question Answering over Heterogeneous Scenes

Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation

Attribute-preserving Face Dataset Anonymization via Latent Code Optimization

AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation

Dynamic Conceptional Contrastive Learning for Generalized Category Discovery

Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation