Learning to learn adaptive classifier–predictor for few-shot learning N Lai, M Kan, C Han, X Song, S Shan IEEE transactions on neural networks and learning systems 32 (8), 3458-3470, 2020 | 85 | 2020 |
Face recognition with contrastive convolution C Han, S Shan, M Kan, S Wu, X Chen Proceedings of the European Conference on Computer Vision (ECCV), 118-134, 2018 | 57 | 2018 |
Dreamllm: Synergistic multimodal comprehension and creation R Dong, C Han, Y Peng, Z Qi, Z Ge, J Yang, L Zhao, J Sun, H Zhou, H Wei, ... arXiv preprint arXiv:2309.11499, 2023 | 47 | 2023 |
Exploring recurrent long-term temporal fusion for multi-view 3d perception C Han, J Sun, Z Ge, J Yang, R Dong, H Zhou, W Mao, Y Peng, X Zhang arXiv preprint arXiv:2303.05970, 2023 | 32 | 2023 |
Chatspot: Bootstrapping multimodal llms via precise referring instruction tuning L Zhao, E Yu, Z Ge, J Yang, H Wei, H Zhou, J Sun, Y Peng, R Dong, ... arXiv preprint arXiv:2307.09474, 2023 | 22 | 2023 |
Vary: Scaling up the vision vocabulary for large vision-language models H Wei, L Kong, J Chen, L Zhao, Z Ge, J Yang, J Sun, C Han, X Zhang arXiv preprint arXiv:2312.06109, 2023 | 16 | 2023 |
Personalized convolution for face recognition C Han, S Shan, M Kan, S Wu, X Chen International journal of computer vision 130 (2), 344-362, 2022 | 11 | 2022 |
Small Language Model Meets with Reinforced Vision Vocabulary H Wei, L Kong, J Chen, L Zhao, Z Ge, E Yu, J Sun, C Han, X Zhang arXiv preprint arXiv:2401.12503, 2024 | 6 | 2024 |
The 1st-place solution for cvpr 2023 openlane topology in autonomous driving challenge D Wu, F Jia, J Chang, Z Li, J Sun, C Han, S Li, Y Liu, Z Ge, T Wang arXiv preprint arXiv:2306.09590, 2023 | 5 | 2023 |
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction Z Qi, R Dong, S Zhang, H Geng, C Han, Z Ge, L Yi, K Ma arXiv preprint arXiv:2402.17766, 2024 | 3 | 2024 |
Grouplane: End-to-end 3d lane detection with channel-wise grouping Z Li, C Han, Z Ge, J Yang, E Yu, H Wang, H Zhao, X Zhang arXiv preprint arXiv:2307.09472, 2023 | 3 | 2023 |
Triplet knowledge distillation X Wang, D Liu, M Kan, C Han, Z Wu, S Shan arXiv preprint arXiv:2305.15975, 2023 | 2 | 2023 |
OneChart: Purify the Chart Structural Extraction via One Auxiliary Token J Chen, L Kong, H Wei, C Liu, Z Ge, L Zhao, J Sun, C Han, X Zhang arXiv preprint arXiv:2404.09987, 2024 | 1 | 2024 |
Corrections to “Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning”[Aug 21 3458-3470] N Lai, M Kan, C Han, X Song, S Shan IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3784-3784, 2020 | 1 | 2020 |
Meta-Learning with Individualized Feature Space for Few-Shot Classification C Han, S Shan, M Kan, S Wu, X Chen | 1 | 2018 |
SCSC: Spatial Cross-scale Convolution Module to Strengthen both CNNs and Transformers X Wang, X Chu, C Han, X Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision, 731-741, 2023 | | 2023 |
Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning (vol 32, pg 3458, 2021) N Lai, M Kan, C Han, X Song, S Shan IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 32 (8), 3784-3784, 2021 | | 2021 |