Recognize Anything: A Strong Image Tagging Model Y Zhang*, X Huang*, J Ma*, Z Li*, Z Luo, Y Xie, Y Qin, T Luo, Y Li, S Liu, ... CVPR 2024, Multimodal Foundation Models Workshop, 2023 | 67 | 2023 |
Tag2Text: Guiding Vision-Language Model via Image Tagging X Huang, Y Zhang, J Ma, W Tian, R Feng, Y Zhang, Y Li, Y Guo, L Zhang ICLR 2024, 2023 | 29 | 2023 |
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels Y Zhang*, Y Cheng*, X Huang*, F Wen, R Feng, Y Li, Y Guo arXiv preprint arXiv:2112.07368, 2021 | 23 | 2021 |
Grounded sam: Assembling open-world models for diverse visual tasks T Ren, S Liu, A Zeng, J Lin, K Li, H Cao, J Chen, X Huang, Y Chen, F Yan, ... arXiv preprint arXiv:2401.14159, 2024 | 20 | 2024 |
IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training X Huang, Y Zhang, Y Cheng, W Tian, R Zhao, R Feng, Y Zhang, Y Li, ... ACM MM 2022, 2022 | 7 | 2022 |
Open-Set Image Tagging with Multi-Grained Text Supervision X Huang, YJ Huang, Y Zhang, W Tian, R Feng, Y Zhang, Y Xie, Y Li, ... arXiv preprint arXiv:2310.15200, 2023 | 3* | 2023 |
Chest X-ray Quality Assessment Method with Medical Domain Knowledge Fusion S Du, Y Wang, X Huang, RW Zhao, X Zhang, R Feng, Q Shen, JQ Zhang IEEE Access 11, 22904-22916, 2023 | 1 | 2023 |
Predicting occult lymph node metastasis in solid-predominantly invasive lung adenocarcinoma across multiple centers using radiomics-deep learning fusion model W Tian, Q Yan, X Huang, R Feng, F Shan, D Geng, Z Zhang Cancer Imaging 24 (1), 8, 2024 | | 2024 |