From Face to Gait: Weakly-Supervised Learning of Gender Information from Walking Patterns
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9666787/9666788/09666987.pdf?arnumber=9666987
Reference35 articles.
1. Age Progression/Regression by Conditional Adversarial Autoencoder
2. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
3. Age Group and Gender Estimation in the Wild With Deep RoR Architecture
4. A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition;yu;18th International Conference on Pattern Recognition (ICPR'06),0
5. Ordinal distribution regression for gait-based age estimation
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2. PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
3. Integration of Face and Gait Recognition via Transfer Learning: A Multiscale Biometric Identification Approach;Traitement du Signal;2023-10-30
4. Automated Neural Network Design using Genetic Algorithms;2023 24th International Conference on Control Systems and Computer Science (CSCS);2023-05
5. Exploring Self-Supervised Vision Transformers for Gait Recognition in the Wild;Sensors;2023-03-01
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