Tae Soo Kim

According to our database, Tae Soo Kim authored at least 15 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Video-based assessment of intraoperative surgical skill.

Sanchit Hira, Digvijay Singh, Tae Soo Kim, Shobhit Gupta, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula

Int. J. Comput. Assist. Radiol. Surg., 2022

Learning from Synthetic Vehicles.

Tae Soo Kim, Bohoon Shim, Michael Peven, Weichao Qiu, Alan L. Yuille, Gregory D. Hager

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Granular Analysis of Pretrained Object Detectors.

Eric Xue, Tae Soo Kim

Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022

2021

Motion Guided Attention Fusion to Recognize Interactions from Videos.

Tae Soo Kim, Jonathan D. Jones, Gregory D. Hager

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning to Recognize Masked Faces by Data Synthesis.

Ziyan Wang, Tae Soo Kim

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2021

Learning Human Vehicle Interactions using Simulated Data.

Chuyu Liu, Tae Soo Kim

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2021

DASZL: Dynamic Action Signatures for Zero-shot Learning.

Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

SAFCAR: Structured Attention Fusion for Compositional Action Recognition.

Tae Soo Kim, Gregory D. Hager

CoRR, 2020

2019

Zero-shot Recognition of Complex Action Sequences.

Jonathan D. Jones, Tae Soo Kim, Michael Peven, Jin Bai, Zihao Xiao, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager

CoRR, 2019

Objective assessment of intraoperative technical skill in capsulorhexis using videos of cataract surgery.

Tae Soo Kim, Molly O'Brien, Sidra Zafar, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula

Int. J. Comput. Assist. Radiol. Surg., 2019

Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis.

Tae Soo Kim, Michael Peven, Weichao Qiu, Alan L. Yuille, Gregory D. Hager

Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2019

2018

Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery.

Tae Soo Kim, Anand Malpani, Austin Reiter, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula

Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

2017

Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition.

Jingxuan Hou, Tae Soo Kim, Austin Reiter

CoRR, 2017

UnrealCV: Virtual Worlds for Computer Vision.

Weichao Qiu, Fangwei Zhong, Yi Zhang, Siyuan Qiao, Zihao Xiao, Tae Soo Kim, Yizhou Wang

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Interpretable 3D Human Action Analysis with Temporal Convolutional Networks.

Tae Soo Kim, Austin Reiter

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017