| Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021 | 968 | 2021 |
| Counterfactual VQA: A Cause-Effect Look at Language Bias Y Niu, K Tang, H Zhang, Z Lu, XS Hua, JR Wen IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12700 …, 2021 | 477 | 2021 |
| SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition Z Fan, Z Song, H Liu, Z Lu, J He, X Du AAAI Conference on Artificial Intelligence (AAAI), 2022 | 436* | 2022 |
| Learning Depth-Guided Convolutions for Monocular 3D Object Detection M Ding, Y Huo, H Yi, Z Wang, J Shi, Z Lu, P Luo IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11672 …, 2020 | 373 | 2020 |
| Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning Z Lu, J Guan, A Li, T Xiang, A Zhao, JR Wen IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (7), 2510-2523, 2021 | 270* | 2021 |
| Towards artificial general intelligence via a multimodal foundation model N Fei, Z Lu, Y Gao, G Yang, Y Huo, J Wen, H Lu, R Song, X Gao, T Xiang, ... Nature Communications 13 (1), 3094, 2022 | 268 | 2022 |
| Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy A Li, T Luo, Z Lu, T Xiang, L Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7212-7220, 2019 | 161 | 2019 |
| WenLan: Bridging vision and language by large-scale multi-modal pre-training Y Huo, M Zhang, G Liu, H Lu, Y Gao, G Yang, J Wen, H Zhang, B Xu, ... arXiv preprint arXiv:2103.06561, 2021 | 147 | 2021 |
| MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning N Fei, Z Lu, T Xiang, S Huang International Conference on Learning Representations (ICLR), 2021 | 144* | 2021 |
| Recursive Visual Attention in Visual Dialog Y Niu, H Zhang, M Zhang, J Zhang, Z Lu, JR Wen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6679-6688, 2019 | 144 | 2019 |
| Learning from Weak and Noisy Labels for Semantic Segmentation Z Lu, Z Fu, T Xiang, P Han, L Wang, X Gao IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (3), 486-500, 2017 | 143 | 2017 |
| Z-Score Normalization, Hubness, and Few-Shot Learning N Fei, Y Gao, Z Lu, T Xiang IEEE/CVF International Conference on Computer Vision (ICCV), 142-151, 2021 | 139 | 2021 |
| IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning M Zhang, J Zhang, Z Lu, T Xiang, M Ding, S Huang International Conference on Learning Representations (ICLR), 2021 | 107 | 2021 |
| Exhaustive and efficient constraint propagation: A graph-based learning approach and its applications Z Lu, Y Peng International Journal of Computer Vision 103 (3), 306-325, 2013 | 105 | 2013 |
| Domain-Adaptive Few-Shot Learning A Zhao, M Ding, Z Lu, T Xiang, Y Niu, J Guan, JR Wen IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1390-1399, 2021 | 104 | 2021 |
| Zero-shot scene classification for high spatial resolution remote sensing images A Li, Z Lu, L Wang, T Xiang, JR Wen IEEE Transactions on Geoscience and Remote Sensing 55 (7), 4157-4167, 2017 | 103 | 2017 |
| Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation Y Niu, Z Lu, JR Wen, T Xiang, SF Chang IEEE Transactions on Image Processing 28 (4), 1720-1731, 2019 | 99 | 2019 |
| Constrained spectral clustering via exhaustive and efficient constraint propagation Z Lu, HHS Ip European Conference on Computer Vision (ECCV), 1-14, 2010 | 95 | 2010 |
| Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow M Ding, Z Wang, B Zhou, J Shi, Z Lu, P Luo AAAI Conference on Artificial Intelligence (AAAI), 10713-10720, 2020 | 89 | 2020 |
| L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing G Yang, N Fei, M Ding, G Liu, Z Lu, T Xiang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2951-2960, 2021 | 82 | 2021 |
Ji-Rong WenRenmin University of ChinaVerified email at ruc.edu.cn
