Články se zplnomocněním k veřejnému přístupu - Ping HuDalší informace
Nedostupné nikde: 4
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
Zplnomocnění: National Natural Science Foundation of China
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
Zplnomocnění: National Natural Science Foundation of China
MaskTrack: Auto-Labeling and Stable Tracking for Video Object Segmentation
Z Chen, L Zhang, P Hu, H Lu, Y He
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Zplnomocnění: National Natural Science Foundation of China
GATrack: Group-Aware Features for Multiple Object Tracking
X Wang, P Hu, R Hu, X Zhu
IEEE Conference on Multimedia Expo (ICME), 2024
Zplnomocnění: National Natural Science Foundation of China
Dostupné někde: 23
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
Zplnomocnění: A*Star, Singapore, National Research Foundation, Singapore
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
Zplnomocnění: US National Science Foundation, US Department of Defense
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
Zplnomocnění: A*Star, Singapore
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
Zplnomocnění: US National Science Foundation, US Department of Defense
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
Zplnomocnění: National Research Foundation, Singapore
Dualcoop: Fast adaptation to multi-label recognition with limited annotations
X Sun, P Hu, K Saenko
Annual Conference on Neural Information Processing Systems, 2022
Zplnomocnění: US National Science Foundation, US Department of Defense
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
Zplnomocnění: US National Science Foundation, US Department of Defense
Uncertainty-aware learning for zero-shot semantic segmentation
P Hu, S Sclaroff, K Saenko
Advances in Neural Information Processing Systems 33, 21713-21724, 2020
Zplnomocnění: US National Science Foundation, US Department of Defense
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
Zplnomocnění: US National Science Foundation
Recurrent spatial pyramid CNN for optical flow estimation
P Hu, G Wang, YP Tan
IEEE Transactions on Multimedia 20 (10), 2814-2823, 2018
Zplnomocnění: National Research Foundation, Singapore
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
Zplnomocnění: US National Science Foundation, US Department of Defense
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
Zplnomocnění: National Research Foundation, Singapore
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
Zplnomocnění: US National Science Foundation, US Department of Defense
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
Zplnomocnění: US National Science Foundation, US Department of Defense, National Natural …
Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation
D Peng, Z Zhang, P Hu, Q Ke, D Yau, J Liu
European Conference on Computer Vision (ECCV), 2024
Zplnomocnění: National Research Foundation, Singapore
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
Zplnomocnění: European Commission, National Research Foundation, Singapore
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