Papers published at top conferences and journals.
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
Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning
Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking
Democratizing Fine-grained Visual Recognition with Large Language Models
Conditioned Prompt-Optimization for Continual Deepfake Detection
Text-Enhanced Zero-Shot Action Recognition: A training-free approach