Jianwei Lu, Ph.D.
Affiliations: | 2006 | University of Southern California, Los Angeles, CA, United States |
Area:
Visual systemGoogle:
"Jianwei Lu"Mean distance: 14.91 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Laurent Itti | grad student | 2006 | USC | |
| (Perceptual and computational mechanisms of feature -based attention.) | ||||
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Publications
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| Zhang G, Shen X, Chen S, et al. (2019) DSM: A Deep Supervised Multi-Scale Network Learning for Skin Cancer Segmentation Ieee Access. 7: 140936-140945 |
| Zhang G, Wang W, Yang D, et al. (2019) A Bi-Attention Adversarial Network for Prostate Cancer Segmentation Ieee Access. 7: 131448-131458 |
| Lu J, Xu Y, Chen M, et al. (2018) A Coarse-to-Fine Fully Convolutional Neural Network for Fundus Vessel Segmentation Symmetry. 10: 607 |
| Zhu D, Dai L, Luo Y, et al. (2018) Multi-Scale Adversarial Feature Learning for Saliency Detection Symmetry. 10: 457 |
| Zhu D, Luo Y, Dai L, et al. (2018) Salient object detection via a local and global method based on deep residual network Journal of Visual Communication and Image Representation. 54: 1-9 |
| Zhang G, Zhu D, Liu X, et al. (2018) Multi-scale pulmonary nodule classification with deep feature fusion via residual network Journal of Ambient Intelligence and Humanized Computing. 1-12 |
| Zhu D, Dai L, Shao X, et al. (2017) Image salient object detection with refined deep features via convolution neural network Journal of Electronic Imaging. 26: 1 |
| Xiao G, Xu G, Liu X, et al. (2014) Feature-based attention is independent of object appearance. Journal of Vision. 14 |
| Lu J, Itti L. (2005) Perceptual consequences of feature-based attention. Journal of Vision. 5: 622-31 |
| Lu J, Yakupov R, Lozar C, et al. (2005) Feature-based attention is also object-based Journal of Vision. 5: 1034-1034 |