1 code implementation • 15 Apr 2024 • Sai Kumar Reddy Manne, Michael Wan
Automatic white balancing (AWB), one of the first steps in an integrated signal processing (ISP) pipeline, aims to correct the color cast induced by the scene illuminant.
1 code implementation • 15 Apr 2024 • Sai Kumar Reddy Manne, Brendan Martin, Tyler Roy, Ryan Neilson, Rebecca Peters, Meghana Chillara, Christine W. Lary, Katherine J. Motyl, Michael Wan
In the last few years, a handful of machine learning approaches for osteoclast image analysis have been developed, but none have addressed the full instance segmentation task required to produce the same output as that of the human expert led process.
1 code implementation • 24 Oct 2023 • Shaotong Zhu, Michael Wan, Sai Kumar Reddy Manne, Emily Zimmerman, Sarah Ostadabbas
Non-nutritive sucking (NNS), which refers to the act of sucking on a pacifier, finger, or similar object without nutrient intake, plays a crucial role in assessing healthy early development.
1 code implementation • 24 Jul 2023 • Sai Kumar Reddy Manne, Shaotong Zhu, Sarah Ostadabbas, Michael Wan
Respiration is a critical vital sign for infants, and continuous respiratory monitoring is particularly important for newborns.
1 code implementation • 29 Mar 2023 • Shaotong Zhu, Michael Wan, Elaheh Hatamimajoumerd, Kashish Jain, Samuel Zlota, Cholpady Vikram Kamath, Cassandra B. Rowan, Emma C. Grace, Matthew S. Goodwin, Marie J. Hayes, Rebecca A. Schwartz-Mette, Emily Zimmerman, Sarah Ostadabbas
Tested on our second, independent, and public NNS in-the-wild dataset, NNS recognition classification reaches 92. 3\% accuracy, and NNS segmentation achieves 90. 8\% precision and 84. 2\% recall.
1 code implementation • 26 Oct 2022 • Michael Wan, Xiaofei Huang, Bethany Tunik, Sarah Ostadabbas
We apply computer vision pose estimation techniques developed expressly for the data-scarce infant domain to the study of torticollis, a common condition in infants for which early identification and treatment is critical.
1 code implementation • 19 Jul 2022 • Xiaofei Huang, Michael Wan, Lingfei Luan, Bethany Tunik, Sarah Ostadabbas
Bilateral postural symmetry plays a key role as a potential risk marker for autism spectrum disorder (ASD) and as a symptom of congenital muscular torticollis (CMT) in infants, but current methods of assessing symmetry require laborious clinical expert assessments.
1 code implementation • 17 Oct 2021 • Michael Wan, Shaotong Zhu, Lingfei Luan, Gulati Prateek, Xiaofei Huang, Rebecca Schwartz-Mette, Marie Hayes, Emily Zimmerman, Sarah Ostadabbas
We lay the groundwork for research in the algorithmic comprehension of infant faces, in anticipation of applications from healthcare to psychology, especially in the early prediction of developmental disorders.
1 code implementation • ICLR 2022 • Michael Wan, Jian Peng, Tanmay Gangwani
Meta-reinforcement learning (meta-RL) algorithms allow for agents to learn new behaviors from small amounts of experience, mitigating the sample inefficiency problem in RL.
2 code implementations • 23 May 2021 • Shuangjun Liu, Michael Wan, Sarah Ostadabbas
However, recent models depend on supervised training with 3D pose ground truth data or known pose priors for their target domains.
Ranked #26 on Weakly-supervised 3D Human Pose Estimation on Human3.6M
1 code implementation • 12 Jun 2020 • Michael Wan, Tanmay Gangwani, Jian Peng
In this paper, we propose a new framework for transfer learning where the teacher and the student can have arbitrarily different state- and action-spaces.