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Tianjun Xiao
Tianjun Xiao
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Cited by
Cited by
Year
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
T Chen, M Li, Y Li, M Lin, N Wang, M Wang, T Xiao, B Xu, C Zhang, ...
arXiv preprint arXiv:1512.01274, 2015
23272015
The application of two-level attention models in deep convolutional neural network for fine-grained image classification
T Xiao, Y Xu, K Yang, J Zhang, Y Peng, Z Zhang
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 842-850, 2014
8472014
Deep graph library: A graph-centric, highly-performant package for graph neural networks
M Wang, D Zheng, Z Ye, Q Gan, M Li, X Song, J Zhou, C Ma, L Yu, Y Gai, ...
arXiv preprint arXiv:1909.01315, 2019
5142019
Error-driven incremental learning in deep convolutional neural network for large-scale image classification
T Xiao, J Zhang, K Yang, Y Peng, Z Zhang
Proceedings of the 22nd ACM international conference on Multimedia, 177-186, 2014
2662014
Scale-invariant convolutional neural networks
Y Xu, T Xiao, J Zhang, K Yang, Z Zhang
arXiv preprint arXiv:1411.6369, 2014
1402014
Visualizing and comparing AlexNet and VGG using deconvolutional layers
W Yu, K Yang, Y Bai, T Xiao, H Yao, Y Rui
Proceedings of the 33 rd International Conference on Machine Learning, 2016
1162016
Bag-of-words based deep neural network for image retrieval
Y Bai, W Yu, T Xiao, C Xu, K Yang, WY Ma, T Zhao
Proceedings of the 22nd ACM international conference on Multimedia, 229-232, 2014
472014
Minerva: A scalable and highly efficient training platform for deep learning
M Wang, T Xiao, J Li, J Zhang, C Hong, Z Zhang
NIPS Workshop, Distributed Machine Learning and Matrix Computations, 51, 2014
312014
Grin: Generative relation and intention network for multi-agent trajectory prediction
L Li, J Yao, L Wenliang, T He, T Xiao, J Yan, D Wipf, Z Zhang
Advances in Neural Information Processing Systems 34, 27107-27118, 2021
122021
Learning hierarchical graph neural networks for image clustering
Y Xing, T He, T Xiao, Y Wang, Y Xiong, W Xia, D Wipf, Z Zhang, S Soatto
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
72021
MOOC\一个学生的体验与思考 [J]
肖天骏
中国计算机学会通讯 9 (006), 40-43, 2013
62013
Deep graph library: Agraph-centric, highly-performant package for graph neural net
M Wang, D Zheng, Z Ye, Q Gan, M Li, X Song, J Zhou, C Ma, L Yu, Y Gai, ...
arXiv preprint arXiv:1909.01315, 2019
42019
Bridging the Gap to Real-World Object-Centric Learning
M Seitzer, M Horn, A Zadaianchuk, D Zietlow, T Xiao, CJ Simon-Gabriel, ...
arXiv preprint arXiv:2209.14860, 2022
12022
Self-supervised Amodal Video Object Segmentation
J Yao, Y Hong, C Wang, T Xiao, T He, F Locatello, D Wipf, Y Fu, Z Zhang
arXiv preprint arXiv:2210.12733, 2022
2022
PSS: Progressive sample selection for open-world visual representation learning
T Cao, Y Wang, Y Xing, T Xiao, T He, Z Zhang, H Zhou, J Tighe
European Conference on Computer Vision, 278-294, 2022
2022
PKU-ICST@ TRECVID2012: Known-item Search Task.
Y Peng, Y Peng, X Zhai, J Zhang, T Xiao, X Huang, K Cai
TRECVID, 2012
2012
Supplementary Materials for Learning Hierarchical Graph Neural Networks for Image Clustering
Y Xing, T He, T Xiao, Y Wang, Y Xiong, W Xia, D Wipf, Z Zhang, S Soatto
The linear representation of CNN for single image
W Yu, HIT EDU, K Yang, COMY Bai, T Xiao, COMH Yao
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