| Learning deep models from synthetic data for extracting dolphin whistle contours P Li, X Liu, KJ Palmer, E Fleishman, D Gillespie, EM Nosal, Y Shiu, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020 | 22 | 2020 |
| Learning sample-specific policies for sequential image augmentation P Li, X Liu, X Xie Proceedings of the 29th ACM International Conference on Multimedia, 4491-4500, 2021 | 8 | 2021 |
| Learning stage-wise gans for whistle extraction in time-frequency spectrograms P Li, MA Roch, H Klinck, E Fleishman, D Gillespie, EM Nosal, Y Shiu, ... IEEE Transactions on Multimedia, 2023 | 7 | 2023 |
| Deep whistle contour: Recall-guided learning from synthesis P Li, X Liu, E Fleishman, K Palmer, Y Shiu, H Klinck, TA Helble, ... The Journal of the Acoustical Society of America 146 (4_Supplement), 2984-2985, 2019 | 3 | 2019 |
| Silbido profundo: An open source package for the use of deep learning to detect odontocete whistles PC Conant, P Li, X Liu, H Klinck, E Fleishman, D Gillespie, EM Nosal, ... The Journal of the Acoustical Society of America 152 (6), 3800-3808, 2022 | 2 | 2022 |
| Using deep learning to track time× frequency whistle contours of toothed whales without human-annotated training data P Li, X Liu, H Klinck, P Gruden, MA Roch The Journal of the Acoustical Society of America 154 (1), 502-517, 2023 | 1 | 2023 |
| Learning Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial Video P Li, X Liu 2020 25th International Conference on Pattern Recognition (ICPR), 10584-10591, 2021 | 1 | 2021 |
| An Iterative Semi-supervised Approach with Pixel-wise Contrastive Loss for Road Extraction in Aerial Images H Zhang, P Li, X Liu, X Yang, L An ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2023 | | 2023 |
| Towards Effective Visual Learning for Data-Centric Machine Vision P Li University of California, Irvine, 2023 | | 2023 |
