蒋鹏 Jiang, Peng
Salient region detection by ufo: Uniqueness, focusness and objectness
P Jiang, H Ling, J Yu, J Peng
Proceedings of the IEEE international conference on computer vision, 1976-1983, 2013
Deep-Learning Inversion of Seismic Data
S Li, B Liu, Y Ren, Y Chen, S Yang, Y Wang, P Jiang
IEEE Transactions on Geoscience and Remote Sensing 58 (3), 2135 - 2149, 2019
Deep learning inversion of electrical resistivity data
B Liu, Q Guo, S Li, B Liu, Y Ren, Y Pang, X Guo, L Liu, P Jiang
IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5715-5728, 2020
Generic promotion of diffusion-based salient object detection
P Jiang, N Vasconcelos, J Peng
Proceedings of the IEEE International Conference on Computer Vision, 217-225, 2015
Dida: Disentangled synthesis for domain adaptation
J Cao, O Katzir, P Jiang, D Lischinski, D Cohen-Or, C Tu, Y Li
arXiv preprint arXiv:1805.08019, 2018
Deep-learning seismic full-waveform inversion for realistic structural models
B Liu, S Yang, Y Ren, X Xu, P Jiang, Y Chen
Geophysics 86 (1), R31-R44, 2021
Learning-based automatic breast tumor detection and segmentation in ultrasound images
P Jiang, J Peng, G Zhang, E Cheng, V Megalooikonomou, H Ling
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1587-1590, 2012
GPRInvNet: Deep learning-based ground-penetrating radar data inversion for tunnel linings
B Liu, Y Ren, H Liu, H Xu, Z Wang, AG Cohn, P Jiang
IEEE Transactions on Geoscience and Remote Sensing 59 (10), 8305-8325, 2021
A deep-learning-based multiple defect detection method for tunnel lining damages
Y Dong, J Wang, Z Wang, X Zhang, Y Gao, Q Sui, P Jiang
IEEE Access 7, 182643-182657, 2019
Automatic recognition of highway tunnel defects based on an improved U-Net model
X Miao, J Wang, Z Wang, Q Sui, Y Gao, P Jiang
IEEE Sensors Journal 19 (23), 11413-11423, 2019
Difnet: Semantic segmentation by diffusion networks
P Jiang, F Gu, Y Wang, C Tu, B Chen
Advances in Neural Information Processing Systems 31 (NeurIPS 2018) 31, 2018
Deep neural network-based permittivity inversions for ground penetrating radar data
Y Ji, F Zhang, J Wang, Z Wang, P Jiang, H Liu, Q Sui
IEEE Sensors Journal 21 (6), 8172-8183, 2021
Building complex seismic velocity models for deep learning inversion
Y Ren, L Nie, S Yang, P Jiang, Y Chen
IEEE Access 9, 63767-63778, 2021
Hybrid image retargeting using optimized seam carving and scaling
Y Zhang, Z Sun, P Jiang, Y Huang, J Peng
Multimedia Tools and Applications 76, 8067-8085, 2017
Generic content-based retrieval of marker-based motion capture data
N Lv, Z Jiang, Y Huang, X Meng, G Meenakshisundaram, J Peng
IEEE transactions on visualization and computer graphics 24 (6), 1969-1982, 2017
Unsupervised deep learning for random noise attenuation of seismic data
B Liu, J Yue, Z Zuo, X Xu, C Fu, S Yang, P Jiang
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network
S Yang, Z Wang, J Wang, AG Cohn, J Zhang, P Jiang, L Nie, Q Sui
Construction and Building Materials 319, 125658, 2022
Adaptive Convolution Neural Networks for Electrical Resistivity Inversion
B Liu, Q Guo, K Wang, Y Pang, L Nie, P Jiang
IEEE Sensors Journal 1 (1), 1, 2020
Super diffusion for salient object detection
P Jiang, Z Pan, C Tu, N Vasconcelos, B Chen, J Peng
IEEE Transactions on Image Processing 29, 2903-2917, 2019
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
Z Pan, P Jiang, Y Wang, C Tu, AG Cohn
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
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