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Xiaoyu Tao
Xiaoyu Tao
Verified email at stu.xjtu.edu.cn
Title
Cited by
Cited by
Year
Few-shot class-incremental learning
X Tao, X Hong, X Chang, S Dong, X Wei, Y Gong
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3642020
Transductive semi-supervised deep learning using min-max features
W Shi, Y Gong, C Ding, ZMX Tao, N Zheng
Proceedings of the European Conference on Computer Vision (ECCV), 299-315, 2018
2512018
Topology-preserving class-incremental learning
X Tao, X Chang, X Hong, X Wei, Y Gong
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1612020
Few-shot class-incremental learning via relation knowledge distillation
S Dong, X Hong, X Tao, X Chang, X Wei, Y Gong
Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1255-1263, 2021
1112021
Constructing deep sparse coding network for image classification
S Zhang, J Wang, X Tao, Y Gong, N Zheng
Pattern Recognition 64, 130-140, 2017
832017
Fine-grained image classification using modified DCNNs trained by cascaded softmax and generalized large-margin losses
W Shi, Y Gong, X Tao, D Cheng, N Zheng
IEEE transactions on neural networks and learning systems 30 (3), 683-694, 2018
542018
Training DCNN by combining max-margin, max-correlation objectives, and correntropy loss for multilabel image classification
W Shi, Y Gong, X Tao, N Zheng
IEEE transactions on neural networks and learning systems 29 (7), 2896-2908, 2017
442017
Improving CNN performance accuracies with min–max objective
W Shi, Y Gong, X Tao, J Wang, N Zheng
IEEE transactions on neural networks and learning systems 29 (7), 2872-2885, 2017
422017
Model behavior preserving for class-incremental learning
Y Liu, X Hong, X Tao, S Dong, J Shi, Y Gong
IEEE Transactions on Neural Networks and Learning Systems, 2022
322022
Bi-objective continual learning: Learning ‘new’while consolidating ‘known’
X Tao, X Hong, X Chang, Y Gong
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5989-5996, 2020
272020
Object detection with class aware region proposal network and focused attention objective
X Tao, Y Gong, W Shi, D Cheng
Pattern Recognition Letters 130, 353-361, 2020
222020
Consistency-Preserving deep hashing for fast person re-identification
D Li, Y Gong, D Cheng, W Shi, X Tao, X Chang
Pattern Recognition 94, 207-217, 2019
182019
Entropy and orthogonality based deep discriminative feature learning for object recognition
W Shi, Y Gong, D Cheng, X Tao, N Zheng
Pattern Recognition 81, 71-80, 2018
172018
Class incremental learning for video action classification
J Ma, X Tao, J Ma, X Hong, Y Gong
2021 IEEE International Conference on Image Processing (ICIP), 504-508, 2021
82021
Analogy-detail networks for object recognition
X Tao, X Hong, W Shi, X Chang, Y Gong
IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4404-4418, 2020
72020
Structural knowledge organization and transfer for class-incremental learning
Y Liu, X Hong, X Tao, S Dong, J Shi, Y Gong
Proceedings of the 3rd ACM International Conference on Multimedia in Asia, 1-7, 2021
42021
Brain cognition-inspired dual-pathway CNN architecture for image classification
S Dong, Y Gong, J Shi, M Shang, X Tao, X Wei, X Hong, T Zhou
IEEE Transactions on Neural Networks and Learning Systems, 2023
22023
Class-Incremental Learning with Topological Schemas of Memory Spaces
X Chang, X Tao, X Hong, X Wei, W Ke, Y Gong
2020 25th International Conference on Pattern Recognition (ICPR), 9719-9726, 2021
22021
A deep CNN with focused attention objective for integrated object recognition and localization
X Tao, C Xu, Y Gong, J Wang
Advances in Multimedia Information Processing-PCM 2016: 17th Pacific-Rim …, 2016
12016
Supplementary Material for Few-Shot Class-Incremental Learning
X Tao, X Hong, X Chang, S Dong, X Wei, Y Gong
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Articles 1–20