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Titlebook: Image Analysis and Processing – ICIAP 2023; 22nd International C Gian Luca Foresti,Andrea Fusiello,Edwin Hancock Conference proceedings 202

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31#
發(fā)表于 2025-3-26 23:52:38 | 只看該作者
,Autism Spectrum Disorder Identification from?Visual Exploration of?Images,rent gaze patterns from healthy controls in visual exploration of images and semantic interpretation, these are promising biomarkers to exploit in diagnosis. This study aims at developing a model to assist in the diagnosis of ASD using gaze data when static images are presented to the subjects. We f
32#
發(fā)表于 2025-3-27 03:14:52 | 只看該作者
Target-Driven One-Shot Unsupervised Domain Adaptation,a target domain with only a single unlabeled target sample. Unlike existing approaches that rely on large labeled source and unlabeled target data, our Target-Driven One-Shot UDA (TOS-UDA) approach employs a learnable augmentation strategy guided by the target sample’s style to align the source dist
33#
發(fā)表于 2025-3-27 06:02:00 | 只看該作者
,Combining Identity Features and?Artifact Analysis for?Differential Morphing Attack Detection,e and public institutions. In this context, D-MAD methods, . detectors fed with a trusted live image and a probe tend to show better performance with respect to S-MAD approaches, that are based on a single input image. However, D-MAD methods usually leverage the identity of the two input face images
34#
發(fā)表于 2025-3-27 11:57:47 | 只看該作者
35#
發(fā)表于 2025-3-27 15:26:45 | 只看該作者
36#
發(fā)表于 2025-3-27 18:59:56 | 只看該作者
37#
發(fā)表于 2025-3-27 23:52:49 | 只看該作者
,FERMOUTH: Facial Emotion Recognition from?the?MOUTH Region,ently, automatic Facial Expression Recognition (FER) is a crucial task for enhancing computers’ perceptive abilities, particularly in human-computer interaction. Although state-of-the-art FER systems can identify emotions from the entire face, situations may arise where occlusions prevent the entire
38#
發(fā)表于 2025-3-28 03:10:30 | 只看該作者
39#
發(fā)表于 2025-3-28 08:53:14 | 只看該作者
,Towards Explainable Navigation and?Recounting, need to understand increasingly complex models. This necessity has fostered research on approaches that facilitate human comprehension of neural methods. In this work, we propose an explainable setting for visual navigation, in which an autonomous agent needs to explore an unseen indoor environment
40#
發(fā)表于 2025-3-28 13:36:29 | 只看該作者
,Towards Facial Expression Robustness in?Multi-scale Wild Environments,tomatic facial expression analysis have mainly focused on the recognition of discrete emotions, neglecting the continuous nature of these processes. Additionally, facial images captured from videos in the wild often have varying resolutions due to fixed-lens cameras. To address these problems, our o
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