Artykuły udostępnione publicznie: - Jun LiWięcej informacji
Niedostępne w żadnym miejscu: 9
Convolutional sparse autoencoders for image classification
W Luo, J Li, J Yang, W Xu, J Zhang
IEEE transactions on neural networks and learning systems 29 (7), 3289-3294, 2017
Upoważnienia: National Natural Science Foundation of China
Deep convolutional neural network with independent softmax for large scale face recognition
Y Wu, J Li, Y Kong, Y Fu
Proceedings of the 24th ACM international conference on Multimedia, 1063-1067, 2016
Upoważnienia: US National Science Foundation
Large-scale subspace clustering by independent distributed and parallel coding
J Li, Z Tao, Y Wu, B Zhong, Y Fu
IEEE Transactions on Cybernetics 52 (9), 9090-9100, 2021
Upoważnienia: National Natural Science Foundation of China
Fast multi-view outlier detection via deep encoder
D Hou, Y Cong, G Sun, J Dong, J Li, K Li
IEEE Transactions on Big Data 8 (4), 1047-1058, 2020
Upoważnienia: National Natural Science Foundation of China
Self-supervised multi-category counting networks for automatic check-out
H Chen, Y Zhou, J Li, XS Wei, L Xiao
IEEE Transactions on Image Processing 31, 3004-3016, 2022
Upoważnienia: National Natural Science Foundation of China
Continuous attractors of higher-order recurrent neural networks with infinite neurons
J Li, J Yang, X Yuan, Z Hu
Neurocomputing 131, 388-396, 2014
Upoważnienia: National Natural Science Foundation of China
Learning sparse features in convolutional neural networks for image classification
W Luo, J Li, W Xu, J Yang
Intelligence Science and Big Data Engineering. Image and Video Data …, 2015
Upoważnienia: National Natural Science Foundation of China
CBi-GNN: Cross-scale bilateral graph neural network for 3D object detection
J Chen, X Li, J Xie, J Li, J Qian, J Yang
IEEE Transactions on Intelligent Transportation Systems 23 (12), 23124-23135, 2022
Upoważnienia: National Natural Science Foundation of China
Quality-aware pattern diffusion for video object segmentation
C Zhou, C Xu, J Li, Z Cui, J Yang
Neurocomputing 528, 148-159, 2023
Upoważnienia: National Natural Science Foundation of China
Dostępne w jakimś miejscu: 50
Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection
X Li, W Wang, L Wu, S Chen, X Hu, J Li, J Tang, J Yang
Advances in neural information processing systems 33, 21002-21012, 2020
Upoważnienia: National Natural Science Foundation of China
Generalized focal loss v2: Learning reliable localization quality estimation for dense object detection
X Li, W Wang, X Hu, J Li, J Tang, J Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Upoważnienia: National Natural Science Foundation of China
Cross-x learning for fine-grained visual categorization
W Luo, X Yang, X Mo, Y Lu, LS Davis, J Li, J Yang, SN Lim
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Upoważnienia: National Natural Science Foundation of China
Curriculum temperature for knowledge distillation
Z Li, X Li, L Yang, B Zhao, R Song, L Luo, J Li, J Yang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1504-1512, 2023
Upoważnienia: National Natural Science Foundation of China
RigNet: Repetitive image guided network for depth completion
Z Yan, K Wang, X Li, Z Zhang, J Li, J Yang
European Conference on Computer Vision, 214-230, 2022
Upoważnienia: National Natural Science Foundation of China
Clustering with outlier removal
H Liu, J Li, Y Wu, Y Fu
IEEE transactions on knowledge and data engineering 33 (6), 2369-2379, 2019
Upoważnienia: US National Science Foundation, US Department of Defense
Deeply learned view-invariant features for cross-view action recognition
Y Kong, Z Ding, J Li, Y Fu
IEEE Transactions on Image Processing 26 (6), 3028-3037, 2017
Upoważnienia: US National Science Foundation, US Department of Defense
Deep alignment network based multi-person tracking with occlusion and motion reasoning
Q Zhou, B Zhong, Y Zhang, J Li, Y Fu
IEEE Transactions on Multimedia 21 (5), 1183-1194, 2018
Upoważnienia: National Natural Science Foundation of China
Learning semantically enhanced feature for fine-grained image classification
W Luo, H Zhang, J Li, XS Wei
IEEE Signal Processing Letters 27, 1545-1549, 2020
Upoważnienia: National Natural Science Foundation of China
Sparseness analysis in the pretraining of deep neural networks
J Li, T Zhang, W Luo, J Yang, XT Yuan, J Zhang
IEEE transactions on neural networks and learning systems 28 (6), 1425-1438, 2016
Upoważnienia: National Natural Science Foundation of China
Regularizing nighttime weirdness: Efficient self-supervised monocular depth estimation in the dark
K Wang, Z Zhang, Z Yan, X Li, B Xu, J Li, J Yang
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Upoważnienia: National Natural Science Foundation of China
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