1 code implementation • CVPR 2023 • Jennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John Tuthill, Aggelos Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
In this way, we discover keypoints without requiring manual supervision in videos of humans and rats, demonstrating the potential of 3D keypoint discovery for studying behavior.
1 code implementation • CVPR 2022 • Jennifer J. Sun, Serim Ryou, Roni Goldshmid, Brandon Weissbourd, John Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona
We propose a method for learning the posture and structure of agents from unlabelled behavioral videos.
Ranked #1 on Unsupervised Human Pose Estimation on Human3.6M
no code implementations • 28 Sep 2021 • Serim Ryou, Pietro Perona
In this paper, we propose a method for keypoint discovery from a 2D image using image-level supervision.
1 code implementation • 8 Jul 2020 • Serim Ryou, Michael R. Maser, Alexander Y. Cui, Travis J. DeLano, Yisong Yue, Sarah E. Reisman
We present a systematic investigation using graph neural networks (GNNs) to model organic chemical reactions.
1 code implementation • ICCV 2019 • Serim Ryou, Seong-Gyun Jeong, Pietro Perona
We propose a novel loss function that dynamically rescales the cross entropy based on prediction difficulty regarding a sample.