no code implementations • In2Writing (ACL) 2022 • Yoonjoo Lee, Tae Soo Kim, Minsuk Chang, Juho Kim
Storytelling in early childhood provides significant benefits in language and literacy development, relationship building, and entertainment.
no code implementations • 27 Mar 2023 • Tae Soo Kim, Arghya Sarkar, Yoonjoo Lee, Minsuk Chang, Juho Kim
However, these interfaces provide limited support for writers to create personal tools for their own unique tasks, and may not comprehensively fulfill a writer's needs -- requiring them to continuously switch between interfaces during writing.
no code implementations • 25 Mar 2023 • Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Christopher Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld
Scholarly publications are key to the transfer of knowledge from scholars to others.
no code implementations • 30 Sep 2022 • Tae Soo Kim, Geonwoon Jang, Sanghyup Lee, Thijs Kooi
As deep networks require large amounts of accurately labeled training data, a strategy to collect sufficiently large and accurate annotations is as important as innovations in recognition methods.
no code implementations • 13 May 2022 • Sanchit Hira, Digvijay Singh, Tae Soo Kim, Shobhit Gupta, Gregory Hager, Shameema Sikder, S. Swaroop Vedula
The neural network approach using attention mechanisms also showed high sensitivity and specificity.
no code implementations • ICCV 2021 • Tae Soo Kim, Jonathan Jones, Gregory D. Hager
We present a dual-pathway approach for recognizing fine-grained interactions from videos.
no code implementations • 3 Dec 2020 • Tae Soo Kim, Gregory D. Hager
We present a general framework for compositional action recognition -- i. e. action recognition where the labels are composed out of simpler components such as subjects, atomic-actions and objects.
no code implementations • 8 Dec 2019 • Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan Yuille, Gregory D. Hager
There are many realistic applications of activity recognition where the set of potential activity descriptions is combinatorially large.
no code implementations • 22 Nov 2017 • Jingxuan Hou, Tae Soo Kim, Austin Reiter
Based on the findings from the model interpretation analysis, we propose a targeted refinement technique, which can generalize to various other recognition models.
1 code implementation • 14 Apr 2017 • Tae Soo Kim, Austin Reiter
In this work, we propose to use a new class of models known as Temporal Convolutional Neural Networks (TCN) for 3D human action recognition.
Ranked #1 on Multimodal Activity Recognition on EV-Action