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Jianlong Fu
Jianlong Fu
Microsoft Research
Zweryfikowany adres z microsoft.com - Strona główna
Tytuł
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Cytowane przez
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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
15472017
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
10982017
Learning texture transformer network for image super-resolution
F Yang, H Yang, J Fu, H Lu, B Guo
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
9892020
Learning spatio-temporal transformer for visual tracking
B Yan, H Peng, J Fu, D Wang, H Lu
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
8652021
Ocean: Object-aware anchor-free tracking
Z Zhang, H Peng, J Fu, B Li, W Hu
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
8082020
Seeing out of the box: End-to-end pre-training for vision-language representation learning
Z Huang, Z Zeng, Y Huang, B Liu, D Fu, J Fu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
651*2021
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
5732019
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
5522019
Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study
S Nah, S Baik, S Hong, G Moon, S Son, R Timofte, K Mu Lee
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
5142019
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
4982019
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
4782020
Rethinking and improving relative position encoding for vision transformer
K Wu, H Peng, M Chen, J Fu, H Chao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
3532021
Learning joint spatial-temporal transformations for video inpainting
Y Zeng, J Fu, H Chao
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
3422020
Autoformer: Searching transformers for visual recognition
M Chen, H Peng, J Fu, H Ling
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
3392021
The eighth visual object tracking VOT2020 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
3352020
Expanding language-image pretrained models for general video recognition
B Ni, H Peng, M Chen, S Zhang, G Meng, J Fu, S Xiang, H Ling
European Conference on Computer Vision, 1-18, 2022
2872022
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
2692017
Aggregated contextual transformations for high-resolution image inpainting
Y Zeng, J Fu, H Chao, B Guo
IEEE Transactions on Visualization and Computer Graphics 29 (7), 3266-3280, 2022
2202022
Tinyvit: Fast pretraining distillation for small vision transformers
K Wu, J Zhang, H Peng, M Liu, B Xiao, J Fu, L Yuan
European conference on computer vision, 68-85, 2022
2032022
Lighttrack: Finding lightweight neural networks for object tracking via one-shot architecture search
B Yan, H Peng, K Wu, D Wang, J Fu, H Lu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2012021
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