| Global context-aware attention lstm networks for 3d action recognition J Liu, G Wang, P Hu, LY Duan, AC Kot Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 683 | 2017 |
| Deep level sets for salient object detection P Hu, B Shuai, J Liu, G Wang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 214 | 2017 |
| Temporally distributed networks for fast video semantic segmentation P Hu, F Caba, O Wang, Z Lin, S Sclaroff, F Perazzi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 162 | 2020 |
| Motion-guided cascaded refinement network for video object segmentation P Hu, G Wang, X Kong, J Kuen, YP Tan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 108 | 2018 |
| Real-time semantic segmentation with fast attention P Hu, F Perazzi, FC Heilbron, O Wang, Z Lin, K Saenko, S Sclaroff IEEE Robotics and Automation Letters 6 (1), 263-270, 2021 | 99 | 2021 |
| Uncertainty-aware learning for zero-shot semantic segmentation P Hu, S Sclaroff, K Saenko Advances in Neural Information Processing Systems 33, 21713-21724, 2020 | 54 | 2020 |
| Recurrent spatial pyramid CNN for optical flow estimation P Hu, G Wang, YP Tan IEEE Transactions on Multimedia 20 (10), 2814-2823, 2018 | 52 | 2018 |
| Many-to-many Splatting for Efficient Video Frame Interpolation P Hu, S Niklaus, S Sclaroff, K Saenko Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 40 | 2022 |
| Dualcoop: Fast adaptation to multi-label recognition with limited annotations X Sun, P Hu, K Saenko Annual Conference on Neural Information Processing Systems, 2022 | 33 | 2022 |
| Detecting salient objects via color and texture compactness hypotheses P Hu, W Wang, C Zhang, K Lu IEEE Transactions on Image Processing 25 (10), 4653-4664, 2016 | 30 | 2016 |
| Learning to detect every thing in an open world K Saito, P Hu, T Darrell, K Saenko European Conference on Computer Vision, 268-284, 2022 | 29 | 2022 |
| Weakly-supervised Compositional Feature Aggregation for Few-shot Recognition P Hu, X Sun, K Saenko, S Sclaroff arXiv preprint arXiv:1906.04833, 2019 | 24 | 2019 |
| DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation P Hu, J Liu, G Wang, V Ablavsky, K Saenko, S Sclaroff The IEEE Winter Conference on Applications of Computer Vision, 1904-1913, 2020 | 22 | 2020 |
| Splatting-based Synthesis for Video Frame Interpolation S Niklaus, P Hu, J Chen IEEE/CVF Winter Conference on Applications of Computer Vision, 2023 | 15 | 2023 |
| ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes D Bashkirova, M Abdelfattah, Z Zhu, J Akl, F Alladkani, P Hu, V Ablavsky, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 15* | 2022 |
| Conterfactual Generative Zero-Shot Semantic Segmentation F Shen, J Liu, P Hu arXiv preprint arXiv:2106.06360, 2021 | 6 | 2021 |
| Video text detection with text edges and convolutional neural network P Hu, W Wang, K Lu 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 675-679, 2015 | 5 | 2015 |
| Token boosting for robust self-supervised visual transformer pre-training T Li, LG Foo, P Hu, X Shang, H Rahmani, Z Yuan, J Liu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 4 | 2023 |
| Many-to-Many Splatting-based Digital Image Synthesis S Niklaus, P Hu US Patent App. 17/714,356, 2023 | 1 | 2023 |
| Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning J Zhang, G Yang, P Hu, G Lin, F Lv IEEE Transactions on Image Processing, 2023 | 1 | 2023 |
Kate SaenkoBoston UniversityVerified email at bu.edu
