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Ping Hu
Ping Hu
UESTC
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Title
Cited by
Cited by
Year
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
7462017
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
2282017
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
2082020
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
1262021
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
1192018
Dualcoop: Fast adaptation to multi-label recognition with limited annotations
X Sun, P Hu, K Saenko
Annual Conference on Neural Information Processing Systems, 2022
772022
Uncertainty-aware learning for zero-shot semantic segmentation
P Hu, S Sclaroff, K Saenko
Advances in Neural Information Processing Systems 33, 21713-21724, 2020
662020
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
622022
Recurrent spatial pyramid CNN for optical flow estimation
P Hu, G Wang, YP Tan
IEEE Transactions on Multimedia 20 (10), 2814-2823, 2018
542018
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
462022
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
342022
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
322016
Weakly-supervised Compositional Feature Aggregation for Few-shot Recognition
P Hu, X Sun, K Saenko, S Sclaroff
arXiv preprint arXiv:1906.04833, 2019
262019
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
252020
Splatting-based Synthesis for Video Frame Interpolation
S Niklaus, P Hu, J Chen
IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
152023
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
112023
Splatting-based synthesis for video frame interpolation
S Niklaus, P Hu, J Chen
arXiv preprint arXiv:2201.10075, 2022
92022
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
82024
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, 2024
82024
Temporally distributed neural networks for video semantic segmentation
F Perazzi, Z Lin, P Hu, O Wang, FDC Heilbron
US Patent 11,854,206, 2023
72023
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