Seonwook Park
Seonwook Park
Lunit Inc.
Verified email at - Homepage
Cited by
Cited by
Cross-modal Deep Variational Hand Pose Estimation
A Spurr, J Song, S Park, O Hilliges
CVPR (Spotlight), 2018
Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings
S Park, X Zhang, A Bulling, O Hilliges
ETRA, 2018
Deep Pictorial Gaze Estimation
S Park, A Spurr, O Hilliges
ECCV, 2018
Illumination Change Robustness in Direct Visual SLAM
S Park, T Schöps, M Pollefeys
ICRA, 2017
Few-Shot Adaptive Gaze Estimation
S Park, S De Mello, P Molchanov, U Iqbal, O Hilliges, J Kautz
ICCV (Oral), 2019
AdaM: Adapting Multi-User Interfaces for Collaborative Environments in Real-Time
S Park, C Gebhardt, R Rädle, A Feit, H Vrzakova, N Dayama, HS Yeo, ...
CHI, 2018
ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation
X Zhang, S Park, T Beeler, D Bradley, S Tang, O Hilliges
ECCV (Spotlight), 2020
Towards End-to-end Video-based Eye-Tracking
S Park, E Aksan, X Zhang, O Hilliges
ECCV, 2020
Self-Learning Transformations for Improving Gaze and Head Redirection
Y Zheng, S Park, X Zhang, S De Mello, O Hilliges
NeurIPS, 2020
Accurate Real-time 3D Gaze Tracking Using a Lightweight Eyeball Calibration
Q Wen, D Bradley, T Beeler, S Park, O Hilliges, JH Yong, F Xu
Eurographics, 2020
Content-Consistent Generation of Realistic Eyes with Style
MC Buehler, S Park, S De Mello, X Zhang, O Hilliges
ICCV Workshops, 2019
Detecting Relevance during Decision-Making from Eye Movements for UI Adaptation
AM Feit, L Vordemann, S Park, C Bérubé, O Hilliges
ETRA, 2020
Weakly-Supervised Physically Unconstrained Gaze Estimation
R Kothari, SD Mello, U Iqbal, W Byeon, S Park, J Kautz
CVPR (Oral), 2021
Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes predicts survival after immune checkpoint inhibitor therapy across multiple cancer types.
J Shen, T Lee, JE Hwang, YL Choi, SH Lee, H Kim, J Chung, S Bogdan, ...
ASCO Abstracts 39 (15_suppl), 2607-2607, 2021
Representation Learning for Webcam-based Gaze Estimation
S Park
ETH Zurich, 2020
Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes reveals immune-excluded phenotype related to APOBEC signature and clonal evolution of cancer
CY Ock, S Song, G Park, C Park, SI Cho, S Shin, Y Lim, W Jung, H Song, ...
SITC Abstracts 9 (Suppl 2), 2021
Distinct subset of immune cells assessed by multiplex immunohistochemistry correlates with immune phenotype classified by an artificial intelligence-powered tissue analyzer in …
YL Choi, S Park, S Pereira, S Park, M Ma, J Shin, J Shin, K Paeng, D Yoo, ...
ASCO Abstracts 39 (15_suppl), e21012-e21012, 2021
Pathologic validation of artificial intelligence-powered prediction of combined positive score of PD-L1 immunohistochemistry in urothelial carcinoma.
JH Park, KS Lee, E Choi, W Jung, J Aum, S Pereira, S Park, M Ma, S Lee, ...
ASCO Abstracts 39 (15_suppl), e16518-e16518, 2021
Clinical performance of artificial intelligence-powered annotation of tumor cell PD-L1 expression for treatment of immune-checkpoint inhibitor (ICI) in advanced non-small cell …
H Kim, S Choi, S Kim, J Aum, S Pereira, S Park, M Ma, S Shin, K Paeng, ...
ASCO Abstracts 39 (15_suppl), 9026-9026, 2021
Artificial intelligence-powered spatial analysis of tumor infiltrating lymphocytes (TIL) to reflect target gene expressions of novel immuno-oncology agents.
CY Ock, S Shin, W Jung, S Ahn, H Kim, C Lee, J Aum, D Tak, A Ryu, ...
ASCO Abstracts 39 (15_suppl), e14534-e14534, 2021
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