27 citations · 33 across the 15 of their papers we have counts for
5 papers · 1 filter
Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection
Joo-Yeon Lee, Woo-Jeoung Nam, Seong-Whan Lee
Video Anomaly Detection(VAD) has been traditionally tackled in two main methodologies: the reconstruction-based approach and the prediction-based one. As the reconstruction-based m…
Neural Architecture Adaptation for Object Detection by Searching Channel Dimensions and Mapping Pre-trained Parameters
Harim Jung, Myeong-Seok Oh, Cheoljong Yang +1
Most object detection frameworks use backbone architectures originally designed for image classification, conventionally with pre-trained parameters on ImageNet. However, image cla…
Illuminating Salient Contributions in Neuron Activation with Attribution Equilibrium
Woo-Jeoung Nam, Seong-Whan Lee
With the remarkable success of deep neural networks, there is a growing interest in research aimed at providing clear interpretations of their decision-making processes. In this pa…
Few-Shot Object Detection with Proposal Balance Refinement
Sueyeon Kim, Woo-Jeoung Nam, Seong-Whan Lee
Few-shot object detection has gained significant attention in recent years as it has the potential to greatly reduce the reliance on large amounts of manually annotated bounding bo…
Style-Guided Domain Adaptation for Face Presentation Attack Detection
Young-Eun Kim, Woo-Jeoung Nam, Kyungseo Min +1
Domain adaptation (DA) or domain generalization (DG) for face presentation attack detection (PAD) has attracted attention recently with its robustness against unseen attack scenari…