Customizing student networks from heterogeneous teachers via adaptive knowledge amalgamation C Shen, M Xue, X Wang, J Song, L Sun, M Song Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 48 | 2019 |
Protopformer: Concentrating on prototypical parts in vision transformers for interpretable image recognition M Xue, Q Huang, H Zhang, L Cheng, J Song, M Wu, M Song arXiv preprint arXiv:2208.10431, 2022 | 33 | 2022 |
Meta-attention for vit-backed continual learning M Xue, H Zhang, J Song, M Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
Tree-like decision distillation J Song, H Zhang, X Wang, M Xue, Y Chen, L Sun, D Tao, M Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 19 | 2021 |
Bootstrapping vits: Towards liberating vision transformers from pre-training H Zhang, J Duan, M Xue, J Song, L Sun, M Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 13 | 2022 |
A survey of deep learning for low-shot object detection Q Huang, H Zhang, M Xue, J Song, M Song ACM Computing Surveys 56 (5), 1-37, 2023 | 11 | 2023 |
A survey of neural trees H Li, J Song, M Xue, H Zhang, J Ye, L Cheng, M Song arXiv preprint arXiv:2209.03415, 2022 | 8 | 2022 |
Kdexplainer: A task-oriented attention model for explaining knowledge distillation M Xue, J Song, X Wang, Y Chen, X Wang, M Song arXiv preprint arXiv:2105.04181, 2021 | 8 | 2021 |
Knowledge amalgamation for object detection with transformers H Zhang, F Mao, M Xue, G Fang, Z Feng, J Song, M Song IEEE Transactions on Image Processing 32, 2093-2106, 2023 | 7 | 2023 |
Evaluation and improvement of interpretability for self-explainable part-prototype networks Q Huang, M Xue, W Huang, H Zhang, J Song, Y Jing, M Song Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
Tree-like branching network for multi-class classification M Xue, J Song, L Sun, M Song Intelligent Computing & Optimization: Proceedings of the 4th International …, 2022 | 5 | 2022 |
Learn decision trees with deep visual primitives M Xue, H Zhang, Q Huang, J Song, M Song Journal of Visual Communication and Image Representation 89, 103682, 2022 | 3 | 2022 |
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation T Zhang, M Xue, J Zhang, H Zhang, Y Wang, L Cheng, J Song, M Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes Q Huang, M Xue, H Zhang, J Song, M Song arXiv preprint arXiv:2212.05946, 2022 | 2 | 2022 |
Schema Inference for Interpretable Image Classification H Zhang, M Xue, X Liu, K Chen, J Song, M Song International Conference on Learning Representations, 0 | 1* | |
Constituent Attention for Vision Transformers H Li, M Xue, J Song, H Zhang, W Huang, L Liang, M Song Computer Vision and Image Understanding 237, 103838, 2023 | | 2023 |
Jointly Complementary&Competitive Influence Maximization with Concurrent Ally-Boosting and Rival-Preventing Q Shi, W Tian, W Yang, M Xue, C Wang, M Wu arXiv preprint arXiv:2302.09620, 2023 | | 2023 |
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks Supplemental Material Q Huang, M Xue, W Huang, H Zhang, J Song, Y Jing, M Song | | |
Meta-attention for ViT-backed Continual Learning–Supplementary Material– M Xue, H Zhang, J Song, M Song | | |
Tree-like Decision Distillation–Supplementary Material– J Song, H Zhang, X Wang, M Xue, Y Chen, L Sun, D Tao, M Song | | |