Cezmi Mutlu

According to our database, Cezmi Mutlu authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder.

Marie Huynh, Aaron Kline, Saimourya Surabhi, Kaitlyn Dunlap, Onur Cezmi Mutlu, Mohammadmahdi Honarmand, Parnian Azizian, Peter Washington, Dennis P. Wall

CoRR, 2024

TikTokActions: A TikTok-Derived Video Dataset for Human Action Recognition.

Yang Qian, Yinan Sun, Ali Kargarandehkordi, Onur Cezmi Mutlu, Saimourya Surabhi, Pingyi Chen, Zain Jabbar, Dennis Paul Wall, Peter Washington

CoRR, 2024

2023

Computer Vision Estimation of Emotion Reaction Intensity in the Wild.

Yang Qian, Ali Kargarandehkordi, Onur Cezmi Mutlu, Saimourya Surabhi, Mohammadmahdi Honarmand, Dennis Paul Wall, Peter Washington

CoRR, 2023

TempT: Temporal consistency for Test-time adaptation.

Onur Cezmi Mutlu, Mohammadmahdi Honarmand, Saimourya Surabhi, Dennis P. Wall

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

An Exploration of Active Learning for Affective Digital Phenotyping.

Peter Washington, Cezmi Mutlu, Aaron Kline, Cathy Hou, Kaitlyn Dunlap, Jack Kent, Arman Husic, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley M. Paskov, Jae-Yoon Jung, Dennis P. Wall

CoRR, 2022

Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images.

Peter Washington, Onur Cezmi Mutlu, Aaron Kline, Kelley M. Paskov, Nate Tyler Stockham, Brianna Sierra Chrisman, Nick Deveaux, Mourya Surhabi, Nick Haber, Dennis P. Wall

CoRR, 2022

TikTok for good: Creating a diverse emotion expression database.

Saimourya Surabhi, Bhavik Shah, Peter Washington, Onur Cezmi Mutlu, Émilie Leblanc, Prathamesh Mohite, Arman Husic, Aaron Kline, Kaitlyn Dunlap, Maya McNealis, Bennett Liu, Nick Deveaux, Essam Sleiman, Dennis P. Wall

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices.

Agnik Banerjee, Peter Washington, Cezmi Mutlu, Aaron Kline, Dennis P. Wall

CoRR, 2021

Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels.

Peter Washington, Onur Cezmi Mutlu, Émilie Leblanc, Aaron Kline, Cathy Hou, Brianna Sierra Chrisman, Nate Tyler Stockham, Kelley M. Paskov, Catalin Voss, Nick Haber, Dennis P. Wall

CoRR, 2021

Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels.

Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley Marie Paskov, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall

Cogn. Comput., 2021

Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging.

Peter Washington, Aaron Kline, Onur Cezmi Mutlu, Émilie Leblanc, Cathy Hou, Nate Tyler Stockham, Kelley M. Paskov, Brianna Sierra Chrisman, Dennis P. Wall

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders.

Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley M. Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall

CoRR, 2020