| Tactics of adversarial attack on deep reinforcement learning agents YC Lin, ZW Hong, YH Liao, ML Shih, MY Liu, M Sun arXiv preprint arXiv:1703.06748, 2017 | 517 | 2017 |
| 3d photography using context-aware layered depth inpainting ML Shih, SY Su, J Kopf, JB Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 329 | 2020 |
| Self-supervised learning of depth and camera motion from 360 videos FE Wang, HN Hu, HT Cheng, JT Lin, ST Yang, ML Shih, HK Chu, M Sun Asian Conference on Computer Vision, 53-68, 2018 | 96 | 2018 |
| Dlwv2: A deep learning-based wearable vision-system with vibrotactile-feedback for visually impaired people to reach objects ML Shih, YC Chen, CY Tung, C Sun, CJ Cheng, L Chan, S Varadarajan, ... 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 15 | 2018 |
| Modeling ambient scene dynamics for free-view synthesis ML Shih, JB Huang, C Kim, R Shah, J Kopf, C Gao ACM SIGGRAPH 2024 Conference Papers, 1-11, 2024 | 2 | 2024 |
| Extranerf: Visibility-aware view extrapolation of neural radiance fields with diffusion models ML Shih, WC Ma, L Boyice, A Holynski, F Cole, B Curless, J Kontkanen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Self-supervised learning of depth and camera motion from 360 {\deg} videos FE Wang, HN Hu, HT Cheng, JT Lin, ST Yang, ML Shih, HK Chu, M Sun arXiv preprint arXiv:1811.05304, 2018 | 2 | 2018 |
