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Tianjun Xiao
Tianjun Xiao
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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
27612015
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
12102019
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
10192014
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
3162014
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
1742016
Scale-invariant convolutional neural networks
Y Xu, T Xiao, J Zhang, K Yang, Z Zhang
arXiv preprint arXiv:1411.6369, 2014
1722014
Bridging the gap to real-world object-centric learning
M Seitzer, M Horn, A Zadaianchuk, D Zietlow, T Xiao, CJ Simon-Gabriel, ...
The Eleventh International Conference on Learning Representations, 2022
762022
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
522014
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
412021
Layoutdiffuse: Adapting foundational diffusion models for layout-to-image generation
J Cheng, X Liang, X Shi, T He, T Xiao, M Li
arXiv preprint arXiv:2302.08908, 2023
362023
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
342021
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
322014
Hallucination of multimodal large language models: A survey
Z Bai, P Wang, T Xiao, T He, Z Han, Z Zhang, MZ Shou
arXiv preprint arXiv:2404.18930, 2024
62024
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
62022
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
Self-supervised amodal video object segmentation
J Yao, Y Hong, C Wang, T Xiao, T He, F Locatello, DP Wipf, Y Fu, Z Zhang
Advances in Neural Information Processing Systems 35, 6278-6291, 2022
52022
Consistent Video-to-Video Transfer Using Synthetic Dataset
J Cheng, T Xiao, T He
arXiv preprint arXiv:2311.00213, 2023
42023
Object-centric multiple object tracking
Z Zhao, J Wang, M Horn, Y Ding, T He, Z Bai, D Zietlow, CJ Simon-Gabriel, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
Coarse-to-fine amodal segmentation with shape prior
J Gao, X Qian, Y Wang, T Xiao, T He, Z Zhang, Y Fu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
Rethinking amodal video segmentation from learning supervised signals with object-centric representation
K Fan, J Lei, X Qian, M Yu, T Xiao, T He, Z Zhang, Y Fu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
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