Domain Adaptation Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans
The paper presents the DEF-AI-MIA COV19D Competition which is organized in the
framework of the'Domain adaptation Explainability Fairness in AI for Medical Image Analysis …
framework of the'Domain adaptation Explainability Fairness in AI for Medical Image Analysis …
7th abaw competition: Multi-task learning and compound expression recognition
This paper describes the 7th Affective Behavior Analysis in-the-wild (ABAW) Competition,
which is part of the respective Workshop held in conjunction with ECCV 2024. The 7th …
which is part of the respective Workshop held in conjunction with ECCV 2024. The 7th …
Exploring Facial Expression Recognition through Semi-Supervised Pre-training and Temporal Modeling
Abstract Facial Expression Recognition (FER) plays a crucial role in computer vision and
finds extensive applications across various fields. This paper aims to present our approach …
finds extensive applications across various fields. This paper aims to present our approach …
Can machine learning assist in diagnosis of primary immune thrombocytopenia? a feasibility study
Primary Immune Thrombocytopenia (ITP) is a rare autoimmune disease characterised by the
immune-mediated destruction of peripheral blood platelets in patients leading to low platelet …
immune-mediated destruction of peripheral blood platelets in patients leading to low platelet …
Efficient feature extraction and late fusion strategy for audiovisual emotional mimicry intensity estimation
J Yu, W Zhu, J Zhu, Z Cai, G Zhao… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper, we present the solution to the Emotional Mimicry Intensity (EMI) Estimation
challenge, which is part of 6th Affective Behavior Analysis in-the-wild (ABAW) 2024. The EMI …
challenge, which is part of 6th Affective Behavior Analysis in-the-wild (ABAW) 2024. The EMI …
Multi-modal Arousal and Valence Estimation under Noisy Conditions
Automatic emotion recognition has gained significant attention over the past two decades
due to the central role that emotions play in human communication. While multi-modal …
due to the central role that emotions play in human communication. While multi-modal …
Zero-Shot Audio-Visual Compound Expression Recognition Method based on Emotion Probability Fusion
Abstract A Compound Expression Recognition (CER) as a subfield of affective computing is
a novel task in intelligent human-computer interaction and multimodal user interfaces. We …
a novel task in intelligent human-computer interaction and multimodal user interfaces. We …
Aud-tgn: Advancing action unit detection with temporal convolution and gpt-2 in wild audiovisual contexts
Leveraging the synergy of both audio data and visual data is essential for understanding
human emotions and behaviors especially in in-the-wild setting. Traditional methods for …
human emotions and behaviors especially in in-the-wild setting. Traditional methods for …
Covid-19 computer-aided diagnosis through ai-assisted ct imaging analysis: Deploying a medical ai system
Computer-aided diagnosis (CAD) systems stand out as potent aids for physicians in
identifying the novel Coronavirus Disease 2019 (COVID-19) through medical imaging …
identifying the novel Coronavirus Disease 2019 (COVID-19) through medical imaging …
Uncertainty-guided contrastive learning for single source domain generalisation
In the context of single domain generalisation, the objective is for models that have been
exclusively trained on data from a single domain to demonstrate strong performance when …
exclusively trained on data from a single domain to demonstrate strong performance when …