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Jianlong Wu
Jianlong Wu
Associate Professor, Harbin Institute of Technology (Shenzhen)
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Recurrent squeeze-and-excitation context aggregation net for single image deraining
X Li*, J Wu*, Z Lin, H Liu, H Zha
Proceedings of the European Conference on Computer Vision (ECCV), 254-269, 2018
8722018
Expectation-maximization attention networks for semantic segmentation
X Li, Z Zhong, J Wu, Y Yang, Z Lin, H Liu
Proceedings of the International Conference on Computer Vision (ICCV), 2019
6432019
Essential tensor learning for multi-view spectral clustering
J Wu, Z Lin, H Zha
IEEE Transactions on Image Processing 28 (12), 5910-5922, 2019
2962019
Deep comprehensive correlation mining for image clustering
J Wu, K Long, F Wang, C Qian, C Li, Z Lin, H Zha
Proceedings of the International Conference on Computer Vision (ICCV), 2019
2062019
Dynamic modality interaction modeling for image-text retrieval
L Qu, M Liu, J Wu, Z Gao, L Nie
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
1332021
Graph contrastive clustering
H Zhong*, J Wu*, C Chen, J Huang, M Deng, L Nie, Z Lin, XS Hua
Proceedings of the International Conference on Computer Vision (ICCV), 2021
1082021
Dualgnn: Dual graph neural network for multimedia recommendation
Q Wang, Y Wei, J Yin, J Wu, X Song, L Nie
IEEE Transactions on Multimedia 25, 1074-1084, 2021
992021
Unified graph and low-rank rensor learning for multi-view clustering
J Wu, X Xie, L Nie, Z Lin, H Zha
Proceedings of the AAAI Conference on Artificial Intelligence, 2020
952020
Stacked hybrid-attention and group collaborative learning for unbiased scene graph generation
X Dong, T Gan, X Song, J Wu, Y Cheng, L Nie
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
822022
SOGNet: Scene overlap graph network for panoptic segmentation
Y Yang, H Li, X Li, Q Zhao, J Wu, Z Lin
Proceedings of the AAAI Conference on Artificial Intelligence, 2020
732020
Agree to disagree: Adaptive ensemble knowledge distillation in gradient space
S Du, S You, X Li, J Wu, F Wang, C Qian, C Zhang
Advances in Neural Information Processing Systems 33, 12345-12355, 2020
692020
Differentiable linearized ADMM
X Xie*, J Wu*, Z Zhong, G Liu, Z Lin
International Conference on Machine Learning, 6902-6911, 2019
682019
Local correlation consistency for knowledge distillation
X Li, J Wu, H Fang, Y Liao, F Wang, C Qian
Proceedings of the European Conference on Computer Vision (ECCV), 2020
492020
Joint latent subspace learning and regression for cross-modal retrieval
J Wu, Z Lin, H Zha
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
412017
High quality segmentation for ultra high-resolution images
T Shen, Y Zhang, L Qi, J Kuen, X Xie, J Wu, Z Lin, J Jia
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
362022
Self-supervised correlation learning for cross-modal retrieval
Y Liu, J Wu, L Qu, T Gan, J Yin, L Nie
IEEE Transactions on Multimedia, 2022
342022
Fashion compatibility modeling through a multi-modal try-on-guided scheme
X Dong, J Wu, X Song, H Dai, L Nie
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
322020
Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition
J Wu, Z Lin, W Zheng, H Zha
Neurocomputing 239, 143-152, 2017
322017
Multiple models fusion for emotion recognition in the wild
J Wu, Z Lin, H Zha
Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015
242015
Discover micro-influencers for brands via better understanding
S Wang, T Gan, Y Liu, L Zhang, JL Wu, L Nie
IEEE Transactions on Multimedia 24, 2595-2605, 2021
192021
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