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Huajie Jiang
Huajie Jiang
Beijing University of Technology; Institute of Computing Technology, Chinese Academy of Sciences
Verified email at bjut.edu.cn - Homepage
Title
Cited by
Cited by
Year
Transferable contrastive network for generalized zero-shot learning
H Jiang, R Wang, S Shan, X Chen
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1902019
Learning class prototypes via structure alignment for zero-shot recognition
H Jiang, R Wang, S Shan, X Chen
Proceedings of the European conference on computer vision (ECCV), 118-134, 2018
1352018
Learning discriminative latent attributes for zero-shot classification
H Jiang, R Wang, S Shan, Y Yang, X Chen
Proceedings of the IEEE International Conference on Computer Vision, 4223-4232, 2017
1152017
Two birds, one stone: Jointly learning binary code for large-scale face image retrieval and attributes prediction
Y Li, R Wang, H Liu, H Jiang, S Shan, X Chen
Proceedings of the IEEE international conference on computer vision, 3819-3827, 2015
602015
Adaptive metric learning for zero-shot recognition
H Jiang, R Wang, S Shan, X Chen
IEEE Signal Processing Letters 26 (9), 1270-1274, 2019
222019
Unsupervised coherent video cartoonization with perceptual motion consistency
Z Liu, L Li, H Jiang, X Jin, D Tu, S Wang, ZJ Zha
Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1846-1853, 2022
42022
See and Learn More: Dense caption-aware Representation for Visual Question Answering
Y Bi, H Jiang, Y Hu, Y Sun, B Yin
IEEE Transactions on Circuits and Systems for Video Technology, 2023
32023
CGNN: Caption-assisted graph neural network for image-text retrieval
Y Hu, H Zhang, H Jiang, Y Bi, B Yin
Pattern Recognition Letters 161, 137-142, 2022
22022
Attribute annotation on large-scale image database by active knowledge transfer
H Jiang, R Wang, Y Li, H Liu, S Shan, X Chen
Image and Vision Computing 78, 1-13, 2018
22018
Domain-aware Prototype Network for Generalized Zero-Shot Learning
Y Hu, L Feng, H Jiang, M Liu, B Yin
IEEE Transactions on Circuits and Systems for Video Technology, 2023
12023
Incorporating Multi-Level Sampling with Adaptive Aggregation for Inductive Knowledge Graph Completion
K Sun, H Jiang, Y Hu, B Yin
ACM Transactions on Knowledge Discovery from Data, 2024
2024
Self-supervised knowledge distillation in counterfactual learning for VQA
Y Bi, H Jiang, H Zhang, Y Hu, B Yin
Pattern Recognition Letters 177, 33-39, 2024
2024
Substructure-aware subgraph reasoning for inductive relation prediction
K Sun, HJ Jiang, Y Hu, BC Yin
The Journal of Supercomputing 79 (18), 21008-21027, 2023
2023
Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA
Z Sun, Y Hu, Q Gao, H Jiang, J Gao, Y Sun, B Yin
Proceedings of the 31st ACM International Conference on Multimedia, 4065-4073, 2023
2023
DUAL DENOISING LOGICAL REASONING FOR INDUC TIVE KNOWLEDGE GRAPH COMPLETION
S Kai, H Jiang, Y Hu, B Yin
2023
Multi-level attention for referring expression comprehension
Y Sun, Y Zhang, H Jiang, Y Hu, B Yin
Pattern Recognition Letters 172, 252-258, 2023
2023
MBMF: Constructing memory banks of multi‐scale features for anomaly detection
Y Sun, H Wang, Y Hu, H Jiang, B Yin
IET Computer Vision, 2023
2023
CVPR 2019 Outstanding Reviewers
P Anderson, M Aubry, S Buchanan, M Cogswell, M Collins, D Crandall, ...
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