Publications

Frustratingly Easy Test-Time Adaptation of Vision-Language Models

Adaptive Log-Euclidean Metrics for SPD Matrix Learning

Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations

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