| Meta-Transfer Learning for Few-Shot Learning Q Sun*, Y Liu*, TS Chua, B Schiele IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 403-412, 2019 | 1341 | 2019 |
| Mnemonics Training: Multi-Class Incremental Learning without Forgetting Y Liu, Y Su, AA Liu, B Schiele, Q Sun IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12245 …, 2020 | 360 | 2020 |
| Learning to Self-Train for Semi-Supervised Few-Shot Classification X Li, Q Sun, Y Liu, Q Zhou, S Zheng, TS Chua, B Schiele Advances in Neural Information Processing Systems (NeurIPS) 32, 10276-10286, 2019 | 323 | 2019 |
| Adaptive Aggregation Networks for Class-Incremental Learning Y Liu, B Schiele, Q Sun IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2544-2553, 2021 | 228 | 2021 |
| An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Y Liu, B Schiele, Q Sun European Conference on Computer Vision (ECCV), 404-421, 2020 | 151 | 2020 |
| Meta-Transfer Learning through Hard Tasks Q Sun*, Y Liu*, Z Chen, TS Chua, B Schiele IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1443-1456, 2022 | 100 | 2022 |
| RMM: Reinforced Memory Management for Class-Incremental Learning Y Liu, B Schiele, Q Sun Advances in Neural Information Processing Systems (NeurIPS) 34, 3478-3490, 2021 | 87 | 2021 |
| Continual Detection Transformer for Incremental Object Detection Y Liu, B Schiele, A Vedaldi, C Rupprecht IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 38 | 2023 |
| Class-Incremental Exemplar Compression for Class-Incremental Learning Z Luo, Y Liu, B Schiele, Q Sun IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 29 | 2023 |
| Online Hyperparameter Optimization for Class-Incremental Learning Y Liu, Y Li, B Schiele, Q Sun The AAAI Conference on Artificial Intelligence (AAAI), 2023 | 27 | 2023 |
| LCC: Learning to Customize and Combine Neural Networks for Few-shot Learning Y Liu, Q Sun, AA Liu, Y Su, B Schiele, TS Chua https://arxiv.org/abs/1904.08479, 2019 | 26* | 2019 |
| Continual Learning for Abdominal Multi-Organ and Tumor Segmentation Y Zhang, X Li, H Chen, A Yuille, Y Liu*, Z Zhou* International Conference on Medical Image Computing and Computer Assisted …, 2023 | 20 | 2023 |
| Learning to Teach and Learn for Semi-Supervised Few-Shot Image Classification X Li, J Huang, Y Liu, Q Zhou, S Zheng, B Schiele, Q Sun Computer Vision and Image Understanding 212, 103270, 2021 | 10 | 2021 |
| Generating Face Images with Attributes for Free Y Liu, Q Sun, X He, AA Liu, Y Su, TS Chua IEEE Transactions on Neural Networks and Learning Systems 32 (6), 2733-2743, 2020 | 9* | 2020 |
| Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos Y Liu, Y Li, B Schiele, Q Sun IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 | 3 | 2024 |
| Adding 3D Geometry Control to Diffusion Models W Ma, Q Liu, J Wang, A Wang, Y Liu, A Kortylewski, A Yuille arXiv preprint arXiv:2306.08103, 2023 | 3 | 2023 |
| HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting Y Cai, Z Xiao, Y Liang, Y Zhang, X Yang, Y Liu, A Yuille arXiv preprint arXiv:2405.15125, 2024 | 1 | 2024 |
| Continual Adversarial Defense Q Wang, Y Liu, H Ling, Y Li, Q Liu, P Li, J Chen, A Yuille, N Yu arXiv preprint arXiv:2312.09481, 2023 | 1 | 2023 |
| ImageNet3D: Towards General-Purpose Object-Level 3D Understanding W Ma, G Zeng, G Zhang, Q Liu, L Zhang, A Kortylewski, Y Liu, A Yuille arXiv preprint arXiv:2406.09613, 2024 | | 2024 |
| Learning a Category-level Object Pose Estimator without Pose Annotations F Tian, Y Liu, A Kortylewski, Y Duan, S Du, A Yuille, A Wang arXiv preprint arXiv:2404.05626, 2024 | | 2024 |
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics Campus在 mpi-inf.mpg.de 的电子邮件经过验证
