Search Results for author:
Found 6 papers, 4 papers with code
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
Few-shot image classification aims to learn an image classifier using only a small set of labeled examples per class.
Object-aware Gaze Target Detection
Gaze target detection aims to predict the image location where the person is looking and the probability that a gaze is out of the scene.
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations
This paper aims to address the unsupervised video anomaly detection (VAD) problem, which involves classifying each frame in a video as normal or abnormal, without any access to labels.
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
This paper investigates the performance of diffusion models for video anomaly detection (VAD) within the most challenging but also the most operational scenario in which the data annotations are not used.
Graph-based Generative Face Anonymisation with Pose Preservation
With the goal to maintain the geometric attributes of the source face, i. e., the facial pose and expression, and to promote more natural face generation, we propose to exploit a Bipartite Graph to explicitly model the relations between the facial landmarks of the source identity and the ones of the condition identity through a deep model.
