Advancing Human Action Recognition with Foundation Models trained on Unlabeled Public Videos

no code implementations • 14 Feb 2024 • Yang Qian, Yinan Sun, Ali Kargarandehkordi, Onur Cezmi Mutlu, Saimourya Surabhi, Pingyi Chen, Zain Jabbar, Dennis Paul Wall, Peter Washington

We find that the performance of the model pre-trained using our Tik-Tok dataset is comparable to models trained on larger action recognition datasets (95. 3% on UCF101 and 53. 24% on HMDB51).

Action Recognition Temporal Action Localization

Computer Vision Estimation of Emotion Reaction Intensity in the Wild

no code implementations • 19 Mar 2023 • Yang Qian, Ali Kargarandehkordi, Onur Cezmi Mutlu, Saimourya Surabhi, Mohammadmahdi Honarmand, Dennis Paul Wall, Peter Washington

Emotions play an essential role in human communication.

Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study

no code implementations • 16 Dec 2020 • Peter Washington, Haik Kalantarian, John Kent, Arman Husic, Aaron Kline, Emilie Leblanc, Cathy Hou, Onur Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Chrisman, Kelley Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis Paul Wall

Results: The classifier achieved a 66. 9% balanced accuracy and 67. 4% F1-score on the entirety of the Child Affective Facial Expression (CAFE) as well as a 79. 1% balanced accuracy and 78% F1-score on CAFE Subset A, a subset containing at least 60% human agreement on emotions labels.

Emotion Classification Emotion Recognition