Strike (with) a pose: Neural networks are easily fooled by strange poses of familiar objects MA Alcorn, Q Li, Z Gong, C Wang, L Mai, WS Ku, A Nguyen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 341 | 2019 |
Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects. In 2019 IEEE MA Alcorn, Q Li, Z Gong, C Wang, L Mai, WS Ku, A Nguyen CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4840-4849, 2019 | 23 | 2019 |
gscorecam: What objects is clip looking at? P Chen, Q Li, S Biaz, T Bui, A Nguyen Proceedings of the Asian Conference on Computer Vision, 1959-1975, 2022 | 22 | 2022 |
A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings Q Li, L Mai, MA Alcorn, A Nguyen Proceedings of the Asian Conference on Computer Vision, 2020 | 10 | 2020 |
Ca-wav2lip: Coordinate attention-based speech to lip synthesis in the wild KC Wang, J Zhang, J Huang, Q Li, MT Sun, K Sakai, WS Ku 2023 IEEE International Conference on Smart Computing (SMARTCOMP), 1-8, 2023 | 6 | 2023 |
Improving sample diversity of a pre-trained, class-conditional GAN by changing its class embeddings Q Li, L Mai, A Nguyen arXiv preprint arXiv:1910.04760, 2019 | 3 | 2019 |
VideoBadminton: A Video Dataset for Badminton Action Recognition Q Li, TC Chiu, HW Huang, MT Sun, WS Ku arXiv preprint arXiv:2403.12385, 2024 | 1 | 2024 |
Understanding and improving generative adversarial networks Q Li Auburn University, 2020 | 1 | 2020 |