Dynamic extension nets for few-shot semantic segmentation L Liu, J Cao, M Liu, Y Guo, Q Chen, M Tan Proceedings of the 28th ACM international conference on multimedia, 1441-1449, 2020 | 52 | 2020 |
Co-attention network with label embedding for text classification M Liu*, L Liu*, J Cao, Q Du Neurocomputing 471, 61-69, 2022 | 44 | 2022 |
Das: Densely-anchored sampling for deep metric learning L Liu, S Huang, Z Zhuang, R Yang, M Tan, Y Wang European Conference on Computer Vision, 399-417, 2022 | 19 | 2022 |
Cpcm: Contextual point cloud modeling for weakly-supervised point cloud semantic segmentation L Liu, Z Zhuang, S Huang, X Xiao, T Xiang, C Chen, J Wang, M Tan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 16 | 2023 |
Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks L Liu, K Lin, S Huang, Z Li, C Li, Y Cao, Q Zhou arXiv preprint arXiv:2210.13826, 2022 | 3 | 2022 |
Prioritized Semantic Learning for Zero-shot Instance Navigation X Sun, L Lau, H Zhi, R Qiu, J Liang arXiv preprint arXiv:2403.11650, 2024 | 1 | 2024 |
Contrastive Vision-Language Alignment Makes Efficient Instruction Learner L Liu, X Sun, T Xiang, Z Zhuang, L Yin, M Tan arXiv preprint arXiv:2311.17945, 2023 | | 2023 |
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (Supplementary Materials) L Liu, Z Zhuang, SHXXT Xiang, CCJ Wang, M Tan | | |