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Tae Soo Kim 0001
Person information
- affiliation: Johns Hopkins University, Baltimore, MD, USA
Other persons with the same name
- Tae Soo Kim 0002
— Korea Advanced Institute of Science and Technology, Daejeon, South Korea
- Tae Soo Kim 0003 — Samsung Electronics (and 3 more)
- Tae Soo Kim 0004 — Lunit Inc., Seoul, South Korea
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2020 – today
- 2022
- [j2]Sanchit Hira, Digvijay Singh, Tae Soo Kim, Shobhit Gupta, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula:
Video-based assessment of intraoperative surgical skill. Int. J. Comput. Assist. Radiol. Surg. 17(10): 1801-1811 (2022) - [c10]Eric Xue, Tae Soo Kim:
Granular Analysis of Pretrained Object Detectors. ICAIIC 2022: 145-149 - [c9]Tae Soo Kim, Bohoon Shim, Michael Peven, Weichao Qiu, Alan L. Yuille, Gregory D. Hager:
Learning from Synthetic Vehicles. WACV (Workshops) 2022: 500-508 - [i6]Sanchit Hira, Digvijay Singh, Tae Soo Kim, Shobhit Gupta, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula:
Video-based assessment of intraoperative surgical skill. CoRR abs/2205.06416 (2022) - 2021
- [c8]Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager:
DASZL: Dynamic Action Signatures for Zero-shot Learning. AAAI 2021: 1817-1826 - [c7]Ziyan Wang, Tae Soo Kim:
Learning to Recognize Masked Faces by Data Synthesis. ICAIIC 2021: 36-41 - [c6]Chuyu Liu, Tae Soo Kim:
Learning Human Vehicle Interactions using Simulated Data. ICAIIC 2021: 59-62 - [c5]Tae Soo Kim, Jonathan D. Jones, Gregory D. Hager:
Motion Guided Attention Fusion to Recognize Interactions from Videos. ICCV 2021: 13056-13066 - [i5]Tae Soo Kim, Jonathan D. Jones, Gregory D. Hager:
Motion Guided Attention Fusion to Recognize Interactions from Videos. CoRR abs/2104.00646 (2021) - 2020
- [i4]Tae Soo Kim, Gregory D. Hager:
SAFCAR: Structured Attention Fusion for Compositional Action Recognition. CoRR abs/2012.02109 (2020)
2010 – 2019
- 2019
- [j1]Tae Soo Kim, Molly O'Brien, Sidra Zafar, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula:
Objective assessment of intraoperative technical skill in capsulorhexis using videos of cataract surgery. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1097-1105 (2019) - [c4]Tae Soo Kim, Michael Peven, Weichao Qiu, Alan L. Yuille
, Gregory D. Hager:
Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis. WACV Workshops 2019: 35-37 - [i3]Jonathan D. Jones, Tae Soo Kim, Michael Peven, Jin Bai, Zihao Xiao, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager:
Zero-shot Recognition of Complex Action Sequences. CoRR abs/1912.03613 (2019) - 2018
- [c3]Tae Soo Kim, Anand Malpani
, Austin Reiter, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula:
Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery. CVII-STENT/LABELS@MICCAI 2018: 121-130 - 2017
- [c2]Tae Soo Kim, Austin Reiter:
Interpretable 3D Human Action Analysis with Temporal Convolutional Networks. CVPR Workshops 2017: 1623-1631 - [c1]Weichao Qiu, Fangwei Zhong, Yi Zhang, Siyuan Qiao, Zihao Xiao, Tae Soo Kim, Yizhou Wang:
UnrealCV: Virtual Worlds for Computer Vision. ACM Multimedia 2017: 1221-1224 - [i2]Tae Soo Kim, Austin Reiter:
Interpretable 3D Human Action Analysis with Temporal Convolutional Networks. CoRR abs/1704.04516 (2017) - [i1]Jingxuan Hou, Tae Soo Kim, Austin Reiter:
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition. CoRR abs/1711.08502 (2017)
Coauthor Index
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last updated on 2024-08-22 19:46 CEST by the dblp team
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