Saimourya Surabhi

According to our database, Saimourya Surabhi authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation.

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

CoRR, March, 2025

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

Algorithms, 2025

Hashtag2Action: Data Engineering and Self-Supervised Pre-Training for Action Recognition in Short-Form Videos.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Selective Test-time Domain Adaptation Using Fisher Information for Robust Facial Expression Recognition In-the-wild.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

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

Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract).

Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi, Dennis P. Wall

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies.

Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi, 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