| Pixel-bert: Aligning image pixels with text by deep multi-modal transformers Z Huang, Z Zeng, B Liu, D Fu, J Fu arXiv preprint arXiv:2004.00849, 2020 | 409 | 2020 |
| Seeing out of the box: End-to-end pre-training for vision-language representation learning Z Huang, Z Zeng, Y Huang, B Liu, D Fu, J Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 253 | 2021 |
| Contrastive masked autoencoders are stronger vision learners Z Huang, X Jin, C Lu, Q Hou, MM Cheng, D Fu, X Shen, J Feng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 81 | 2023 |
| Vlab: Enhancing video language pre-training by feature adapting and blending X He, S Chen, F Ma, Z Huang, X Jin, Z Liu, D Fu, Y Yang, J Liu, J Feng arXiv preprint arXiv:2305.13167, 2023 | 18 | 2023 |
| Hard exudate segmentation in retinal image with attention mechanism Z Si, D Fu, Y Liu, Z Huang IET Image Processing 15 (3), 587-597, 2021 | 16 | 2021 |
| Optic disc segmentation in fundus images using adversarial training Y Liu, D Fu, Z Huang, H Tong IET Image Processing 13 (2), 375-381, 2019 | 15 | 2019 |
| Learning rich image region representation for visual question answering B Liu, Z Huang, Z Zeng, Z Chen, J Fu arXiv preprint arXiv:1910.13077, 2019 | 11 | 2019 |
| Diagnose chest pathology in X-ray images by learning multi-attention convolutional neural network Z Huang, D Fu 2019 IEEE 8th Joint International Information Technology and Artificial …, 2019 | 10 | 2019 |
| Pixel-bert: Aligning image pixels with text by deep multi-modal transformers. arXiv 2020 Z Huang, Z Zeng, B Liu, D Fu, J Fu arXiv preprint arXiv:2004.00849, 2020 | 9 | 2020 |
| A review of retinal vessel segmentation and artery/vein classification D Fu, Y Liu, Z Huang Proceedings of 2017 Chinese Intelligent Systems Conference: Volume I, 727-737, 2018 | 9 | 2018 |
| PixelLM: Pixel Reasoning with Large Multimodal Model Z Ren, Z Huang, Y Wei, Y Zhao, D Fu, J Feng, X Jin arXiv preprint arXiv:2312.02228, 2023 | 5 | 2023 |
| JD AI Fashion Challenge-Fashion style Technical Report Z Si, D Fu, Z Huang, Y Liu | | |
