1 code implementation • 5 Dec 2023 • Victor G. Turrisi da Costa, Nicola Dall'Asen, Yiming Wang, Nicu Sebe, Elisa Ricci
Few-shot image classification aims to learn an image classifier using only a small set of labeled examples per class.
no code implementations • 4 Dec 2023 • Nicola Dall'Asen, Willi Menapace, Elia Peruzzo, Enver Sangineto, Yiming Wang, Elisa Ricci
The process of painting fosters creativity and rational planning.
2 code implementations • ICCV 2023 • Francesco Tonini, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci
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.
1 code implementation • 4 Jul 2023 • Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci
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.
no code implementations • 12 Apr 2023 • Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci
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.
1 code implementation • 10 Dec 2021 • Nicola Dall'Asen, Yiming Wang, Hao Tang, Luca Zanella, Elisa Ricci
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.