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Pengxiang Su
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2020 – today
- 2024
- [j7]Xin Wei
, Jiacheng Sun, Pengxiang Su, Huan Wan
BCL-Former: Localized Transformer Fusion with Balanced Constraint for polyp image segmentation. Comput. Biol. Medicine 182: 109182 (2024) - [j6]Tianle Du, Jie Wang, Xiaolong Xie, Wei Li, Pengxiang Su, Jie Liu:
Temporal residual neural radiance fields for monocular video dynamic human body reconstruction. J. Electronic Imaging 33(4) (2024) - [i2]Weifeng Wei, Heng Chen, Pengxiang Su:
Learning Two-factor Representation for Magnetic Resonance Image Super-resolution. CoRR abs/2409.09731 (2024) - 2023
- [j5]Pengxiang Su
M-AResNet: a novel multi-scale attention residual network for melting curve image classification. Multim. Tools Appl. 82(27): 42961-42976 (2023) - [j4]Di Gai
Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4564-4576 (2023) - [j3]Haipeng Chen
Spatiotemporal Consistency Learning From Momentum Cues for Human Motion Prediction. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4577-4587 (2023) - 2022
- [c5]Pengxiang Su
Multiscale Spatial and Temporal Learning for Human Motion Prediction. ICANN (2) 2022: 593-604 - [c4]Yingying Jiao, Haipeng Chen, Chang Yao
Spatial-Temporal Correlation Modeling for Motion Prediction. ICME 2022: 1-6 - [c3]Pengxiang Su
Adaptive Multi-Order Graph Neural Networks for Human Motion Prediction. ICME 2022: 1-6 - [i1]Pengxiang Su, Zhenguang Liu, Shuang Wu, Lei Zhu, Yifang Yin, Xuanjing Shen:
Motion Prediction via Joint Dependency Modeling in Phase Space. CoRR abs/2201.02365 (2022) - 2021
- [c2]Zhenguang Liu, Pengxiang Su
Motion Prediction using Trajectory Cues. ICCV 2021: 13279-13288 - [c1]Pengxiang Su
Motion Prediction via Joint Dependency Modeling in Phase Space. ACM Multimedia 2021: 713-721 - 2020
- [j2]Di Gai, Xuanjing Shen, Haipeng Chen, Zeyu Xie, Pengxiang Su
Medical image fusion using the PCNN based on IQPSO in NSST domain. IET Image Process. 14(9): 1870-1880 (2020) - [j1]Di Gai, Xuanjing Shen, Haipeng Chen, Pengxiang Su
Multi-focus image fusion method based on two stage of convolutional neural network. Signal Process. 176: 107681 (2020)
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