Jianlong Fu
Jianlong Fu
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition
J Fu, H Zheng, T Mei
Proceedings of the IEEE conference on computer vision and pattern …, 2017
6302017
Learning multi-attention convolutional neural network for fine-grained image recognition
H Zheng, J Fu, T Mei, J Luo
Proceedings of the IEEE international conference on computer vision, 5209-5217, 2017
4152017
Multi-level attention networks for visual question answering
D Yu, J Fu, T Mei, Y Rui
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1702017
The seventh visual object tracking vot2019 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1192019
Da-gan: Instance-level image translation by deep attention generative adversarial networks
S Ma, J Fu, CW Chen, T Mei
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1032018
Show, adapt and tell: Adversarial training of cross-domain image captioner
TH Chen, YH Liao, CY Chuang, WT Hsu, J Fu, M Sun
Proceedings of the IEEE international conference on computer vision, 521-530, 2017
1032017
Looking for the devil in the details: Learning trilinear attention sampling network for fine-grained image recognition
H Zheng, J Fu, ZJ Zha, J Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1022019
Learning pyramid-context encoder network for high-quality image inpainting
Y Zeng, J Fu, H Chao, B Guo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
942019
Learn to scale: Generating multipolar normalized density maps for crowd counting
C Xu, K Qiu, J Fu, S Bai, Y Xu, X Bai
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
622019
Beyond Object Recognition: Visual Sentiment Analysis with Deep Coupled Adjective and Noun Neural Networks.
J Wang, J Fu, Y Xu, T Mei
IJCAI, 3484-3490, 2016
622016
Efficient clothing retrieval with semantic-preserving visual phrases
J Fu, J Wang, Z Li, M Xu, H Lu
Asian conference on computer vision, 420-431, 2012
542012
Let your photos talk: Generating narrative paragraph for photo stream via bidirectional attention recurrent neural networks
Y Liu, J Fu, T Mei, CW Chen
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
442017
Relaxing from vocabulary: Robust weakly-supervised deep learning for vocabulary-free image tagging
J Fu, Y Wu, T Mei, J Wang, H Lu, Y Rui
Proceedings of the IEEE international conference on computer vision, 1985-1993, 2015
422015
Deep attention neural tensor network for visual question answering
Y Bai, J Fu, T Zhao, T Mei
Proceedings of the European Conference on Computer Vision (ECCV), 20-35, 2018
402018
Ocean: Object-aware anchor-free tracking
Z Zhang, H Peng, J Fu, B Li, W Hu
arXiv preprint arXiv:2006.10721, 2020
392020
Beyond narrative description: Generating poetry from images by multi-adversarial training
B Liu, J Fu, MP Kato, M Yoshikawa
Proceedings of the 26th ACM international conference on Multimedia, 783-791, 2018
382018
Ntire 2020 challenge on real-world image super-resolution: Methods and results
A Lugmayr, M Danelljan, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
362020
What dress fits me best? Fashion recommendation on the clothing style for personal body shape
SC Hidayati, CC Hsu, YT Chang, KL Hua, J Fu, WH Cheng
Proceedings of the 26th ACM international conference on Multimedia, 438-446, 2018
362018
Show, reward and tell: Automatic generation of narrative paragraph from photo stream by adversarial training
J Wang, J Fu, J Tang, Z Li, T Mei
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
342018
Learning 2d temporal adjacent networks for moment localization with natural language
S Zhang, H Peng, J Fu, J Luo
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12870 …, 2020
322020
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