Our Publications

Automatic benchmarking of large multimodal models via iterative experiment programming

Diversified in-domain synthesis with efficient fine-tuning for few-shot classification

Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers

Compositional Caching for Training-free Open-vocabulary Attribute Detection

Multi-focal Conditioned Latent Diffusion for Person Image Synthesis

Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models

3D Part Segmentation via Geometric Aggregation of 2D Visual Features

Face Anonymization Made Simple

Gyrogroup Batch Normalization

Understanding Matrix Function Normalizations in Covariance Pooling from the Lens of Riemannian Geometry

Group-robust Machine Unlearning

Unlearning Personal Data from a Single Image