| Cross-modal Deep Variational Hand Pose Estimation A Spurr, J Song, S Park, O Hilliges CVPR (Spotlight), 2018 | 183 | 2018 |
| Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings S Park, X Zhang, A Bulling, O Hilliges ETRA, 2018 | 96 | 2018 |
| Deep Pictorial Gaze Estimation S Park, A Spurr, O Hilliges ECCV, 2018 | 93 | 2018 |
| Illumination Change Robustness in Direct Visual SLAM S Park, T Schöps, M Pollefeys ICRA, 2017 | 67 | 2017 |
| Few-Shot Adaptive Gaze Estimation S Park, S De Mello, P Molchanov, U Iqbal, O Hilliges, J Kautz ICCV (Oral), 2019 | 53 | 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 | 39 | 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 | 25 | 2020 |
| Towards End-to-end Video-based Eye-Tracking S Park, E Aksan, X Zhang, O Hilliges ECCV, 2020 | 11 | 2020 |
| Content-Consistent Generation of Realistic Eyes with Style MC Buehler, S Park, S De Mello, X Zhang, O Hilliges ICCV Workshops, 2019 | 6 | 2019 |
| 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 | 5 | 2020 |
| Self-Learning Transformations for Improving Gaze and Head Redirection Y Zheng, S Park, X Zhang, S De Mello, O Hilliges NeurIPS, 2020 | 4 | 2020 |
| Weakly-Supervised Physically Unconstrained Gaze Estimation R Kothari, SD Mello, U Iqbal, W Byeon, S Park, J Kautz CVPR (Oral), 2021 | 1 | 2021 |
| Representation Learning for Webcam-based Gaze Estimation S Park ETH Zurich, 2020 | 1 | 2020 |
| Detecting Relevance during Decision-Making from Eye Movements for UI Adaptation AM Feit, L Vordemann, S Park, C Bérubé, O Hilliges ETRA, 2020 | 1 | 2020 |
| 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 | | 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 | | 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 | | 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 | | 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 | | 2021 |
| Few-Shot Training of a Neural Network S Park, S De Mello, P Molchanov, U Iqbal, J Kautz US Patent App. 16/389,832, 2020 | | 2020 |
Otmar HilligesAssociate Professor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
