Papers published at top conferences and journals.
Understanding Matrix Function Normalizations in Covariance Pooling from the Lens of Riemannian Geometry
Group-robust Machine Unlearning
Unlearning Personal Data from a Single Image
Retrieval-enriched zero-shot image classification in low-resource domains
AL-GTD: Deep Active Learning for Gaze Target Detection
Harnessing Large Language Models for Training-free Video Anomaly Detection
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
Riemannian Multinomial Logistics Regression for SPD Neural Networks
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
Test-Time Zero-Shot Temporal Action Localization