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Seunghwan (Sean) Cha
Seunghwan (Sean) Cha
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
Regularization on spatio-temporally smoothed feature for action recognition
J Kim, S Cha, D Wee, S Bae, J Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
292020
The toybox dataset of egocentric visual object transformations
X Wang, T Ma, J Ainooson, S Cha, X Wang, A Molla, M Kunda
arXiv preprint arXiv:1806.06034, 2018
162018
Quantifying human behavior on the block design test through automated multi-level analysis of overhead video
S Cha, J Ainooson, M Kunda
arXiv preprint arXiv:1811.07488, 2018
62018
Enhancing cognitive assessment through multimodal sensing: A case study using the block design test
S Cha, J Ainooson, E Chong, I Soulieres, JM Rehg, M Kunda
Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, 2020
52020
Seeing neural networks through a box of toys: The Toybox dataset of visual object transformations
X Wang, T Ma, J Ainooson, S Cha, X Wang, A Molla, M Kunda
arXiv preprint arXiv:1806.06034, 2018
32018
Automatic labeling and segmentation using machine learning models
S Radhakrishnan, P Sriram, F Aghdasi, S Cha, Z Yu
US Patent 11,899,749, 2024
2024
An Object Is More Than a Single Image: The Toybox Dataset of Visual Object Transformations
X Wang, T Ma, A Molla, S Cha, J Ainooson, X Wang, M Kunda
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