| Meta-Transfer Learning for Few-Shot Learning Q Sun*, Y Liu*, TS Chua, B Schiele Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1421 | 2019 |
| Mnemonics Training: Multi-class Incremental Learning without Forgetting Y Liu, Y Su, AA Liu, B Schiele, Q Sun Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2020 | 396 | 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 32, 2019 | 342 | 2019 |
| Adaptive Aggregation Networks for Class-incremental Learning Y Liu, B Schiele, Q Sun Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2021 | 258 | 2021 |
| An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Y Liu, B Schiele, Q Sun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 163 | 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 | 107 | 2022 |
| RMM: Reinforced Memory Management for Class-Incremental Learning Y Liu, B Schiele, Q Sun Advances in Neural Information Processing Systems 34, 3478-3490, 2021 | 104 | 2021 |
| Continual Detection Transformer for Incremental Object Detection Y Liu, B Schiele, A Vedaldi, C Rupprecht Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 53 | 2023 |
| Class-Incremental Exemplar Compression for Class-Incremental Learning Z Luo, Y Liu, B Schiele, Q Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 41 | 2023 |
| Online Hyperparameter Optimization for Class-Incremental Learning Y Liu, Y Li, B Schiele, Q Sun Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8906-8913, 2023 | 36 | 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 arXiv preprint arXiv:1904.08479, 2019 | 26* | 2019 |
| Continual Learning for Abdominal Multi-Organ and Tumor Segmentation Y Zhang, X Li, H Chen, AL Yuille, Y Liu, Z Zhou International Conference on Medical Image Computing and Computer Assisted …, 2023 | 25 | 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 Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 5* | 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 |
| 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 | 2 | 2023 |
| iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning T Fischer, Y Liu, A Jesslen, N Ahmed, P Kaushik, A Wang, A Yuille, ... European Conference on Computer Vision (ECCV), 2024 | 1 | 2024 |
| 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 Advances in Neural Information Processing Systems (NeurIPS), 2024 | 1 | 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
