Muhammad Osama Zeeshan
Orcid: 0009-0006-1463-2465
According to our database1,
Muhammad Osama Zeeshan authored at least 16 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions.
CoRR, April, 2026
CLIP-AUTT: Test-Time Personalization with Action Unit Prompting for Fine-Grained Video Emotion Recognition.
CoRR, March, 2026
Test-Time Adaptation via Cache Personalization for Facial Expression Recognition in Videos.
CoRR, March, 2026
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition.
IEEE Trans. Affect. Comput., 2026
MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
2025
CoRR, May, 2025
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition.
CoRR, April, 2025
Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data.
Proceedings of the 19th IEEE International Conference on Automatic Face and Gesture Recognition, 2025
2024
CoRR, 2024
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition.
CoRR, 2022
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Two-Step Fine-Tuned Convolutional Neural Networks for Multi-label Classification of Children's Drawings.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021