| 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 | 802 | 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 | 240 | 2020 |
| 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 | 234 | 2017 |
| 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 | 145 | 2021 |
| 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 | 130 | 2018 |
| Dualcoop: Fast adaptation to multi-label recognition with limited annotations X Sun, P Hu, K Saenko Annual Conference on Neural Information Processing Systems, 2022 | 119 | 2022 |
| 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 | 75 | 2022 |
| Uncertainty-aware learning for zero-shot semantic segmentation P Hu, S Sclaroff, K Saenko Advances in Neural Information Processing Systems 33, 21713-21724, 2020 | 73 | 2020 |
| Recurrent spatial pyramid CNN for optical flow estimation P Hu, G Wang, YP Tan IEEE Transactions on Multimedia 20 (10), 2814-2823, 2018 | 59 | 2018 |
| 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 | 58 | 2022 |
| 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 | 57 | 2022 |
| Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters J Yu, Y Zhuge, L Zhang, P Hu, D Wang, H Lu, Y He IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024 | 56 | 2024 |
| 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 | 33 | 2016 |
| Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation D Peng, P Hu, Q Ke, J Liu Proceedings of the IEEE/CVF International Conference on Computer Vision, 808-820, 2023 | 28 | 2023 |
| 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 | 28 | 2020 |
| Weakly-supervised Compositional Feature Aggregation for Few-shot Recognition P Hu, X Sun, K Saenko, S Sclaroff arXiv preprint arXiv:1906.04833, 2019 | 27 | 2019 |
| Splatting-based Synthesis for Video Frame Interpolation S Niklaus, P Hu, J Chen IEEE/CVF Winter Conference on Applications of Computer Vision, 2023 | 22 | 2023 |
| Koala: Key frame-conditioned long video-LLM R Tan, X Sun, P Hu, J Wang, H Deilamsalehy, BA Plummer, B Russell, ... IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024 | 17 | 2024 |
| Dualcoop++: Fast and effective adaptation to multi-label recognition with limited annotations P Hu, X Sun, S Sclaroff, K Saenko IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 15 | 2024 |
| Temporally distributed neural networks for video semantic segmentation F Perazzi, Z Lin, P Hu, O Wang, FDC Heilbron US Patent 11,854,206, 2023 | 9 | 2023 |
Kate SaenkoBoston UniversityVerified email at bu.edu
