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Xiangteng He
Xiangteng He
Research Assistant Professor, Peking University
pku.edu.cn의 이메일 확인됨 - 홈페이지
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Object-part attention model for fine-grained image classification
Y Peng, X He, J Zhao
IEEE Transactions on Image Processing 27 (3), 1487-1500, 2018
4242018
Fine-grained image classification via combining vision and language
X He, Y Peng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2132017
Weakly supervised learning of part selection model with spatial constraints for fine-grained image classification
X He, Y Peng
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1182017
Sim-trans: Structure information modeling transformer for fine-grained visual categorization
H Sun, X He, Y Peng
Proceedings of the 30th ACM International Conference on Multimedia, 5853-5861, 2022
902022
A new benchmark and approach for fine-grained cross-media retrieval
X He, Y Peng, L Xie
Proceedings of the 27th ACM international conference on multimedia, 1740-1748, 2019
852019
Which and How Many Regions to Gaze: Focus Discriminative Regions for Fine-Grained Visual Categorization
X He, Y Peng, J Zhao
International Journal of Computer Vision 127 (9), 1235-1255, 2019
832019
Fast fine-grained image classification via weakly supervised discriminative localization
X He, Y Peng, J Zhao
IEEE Transactions on Circuits and Systems for Video Technology 29 (5), 1394-1407, 2018
822018
Fine-grained visual-textual representation learning
X He, Y Peng
IEEE Transactions on Circuits and Systems for Video Technology 30 (2), 520-531, 2020
722020
Hanet: Hierarchical alignment networks for video-text retrieval
P Wu, X He, M Tang, Y Lv, J Liu
Proceedings of the 29th ACM international conference on Multimedia, 3518-3527, 2021
632021
Fine-grained discriminative localization via saliency-guided faster R-CNN
X He, Y Peng, J Zhao
Proceedings of the 25th ACM international conference on Multimedia, 627-635, 2017
592017
Attribute hierarchy based multi-task learning for fine-grained image classification
J Zhao, Y Peng, X He
Neurocomputing, 2019
432019
Posterlayout: A new benchmark and approach for content-aware visual-textual presentation layout
HY Hsu, X He, Y Peng, H Kong, Q Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
362023
MKVSE: Multimodal knowledge enhanced visual-semantic embedding for image-text retrieval
D Feng, X He, Y Peng
ACM Transactions on Multimedia Computing, Communications and Applications 19 …, 2023
322023
Learn from Unlabeled Videos for Near-duplicate Video Retrieval
X He, Y Pan, M Tang, Y Lv, Y Peng
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
29*2022
Video similarity and alignment learning on partial video copy detection
Z Han, X He, M Tang, Y Lv
Proceedings of the 29th ACM International Conference on Multimedia, 4165-4173, 2021
292021
StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization.
X He, Y Peng, J Zhao
IJCAI, 741-747, 2018
262018
PKU-ICST at TRECVID 2015: Instance Search Task.
Y Peng, X Huang, J Qi, J Zhao, J Zhang, Y Zhao, Y Yuan, X He, J Zhang
TRECVID, 2013
232013
Toward video anomaly retrieval from video anomaly detection: New benchmarks and model
P Wu, J Liu, X He, Y Peng, P Wang, Y Zhang
IEEE Transactions on Image Processing 33, 2213-2225, 2024
222024
Unsupervised Cross‐Media Hashing Learning via Knowledge Graph
Z Ye, X He, Y Peng
Chinese Journal of Electronics 31 (6), 1081-1091, 2022
212022
MV-Diffusion: Motion-aware video diffusion model
Z Deng, X He, Y Peng, X Zhu, L Cheng
Proceedings of the 31st ACM International Conference on Multimedia, 7255-7263, 2023
182023
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학술자료 1–20