Chen-Lin Zhang
Chen-Lin Zhang
Ph.D. candidate of Computer Science and Technology, Nanjing University
Verified email at lamda.nju.edu.cn - Homepage
Title
Cited by
Cited by
Year
Minimal gated unit for recurrent neural networks
GB Zhou, J Wu, CL Zhang, ZH Zhou
International Journal of Automation and Computing 13 (3), 226-234, 2016
1182016
Deep bimodal regression for apparent personality analysis
CL Zhang, H Zhang, XS Wei, J Wu
European conference on computer vision, 311-324, 2016
462016
In defense of fully connected layers in visual representation transfer
CL Zhang, JH Luo, XS Wei, J Wu
Pacific Rim Conference on Multimedia, 807-817, 2017
282017
Unsupervised object discovery and co-localization by deep descriptor transformation
XS Wei, CL Zhang, J Wu, C Shen, ZH Zhou
Pattern Recognition 88, 113-126, 2019
172019
Deep bimodal regression of apparent personality traits from short video sequences
XS Wei, CL Zhang, H Zhang, J Wu
IEEE Transactions on Affective Computing 9 (3), 303-315, 2017
172017
Deep descriptor transforming for image co-localization
XS Wei, CL Zhang, Y Li, CW Xie, J Wu, C Shen, ZH Zhou
arXiv preprint arXiv:1705.02758, 2017
172017
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification
XS Wei, CL Zhang, L Liu, C Shen, J Wu
Asian Conference on Computer Vision, 575-591, 2018
142018
Defeating relapsed and refractory malignancies through a nano-enabled mitochondria-mediated respiratory inhibition and damage pathway
Z Yang, J Wang, S Liu, X Li, L Miao, B Yang, C Zhang, J He, S Ai, W Guan
Biomaterials 229, 119580, 2020
112020
Improving CNN linear layers with power mean non-linearity
CL Zhang, J Wu
Pattern Recognition 89, 12-21, 2019
62019
Rethinking the Route Towards Weakly Supervised Object Localization
CL Zhang, YH Cao, J Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2020
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models
CL Zhang, XX Liu, J Wu
arXiv preprint arXiv:1906.07052, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–11