Attngan: Fine-grained text to image generation with attentional generative adversarial networks T Xu, P Zhang, Q Huang, H Zhang, Z Gan, X Huang, X He Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1932 | 2018 |
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks X Li, X Yin, C Li, P Zhang, X Hu, L Zhang, L Wang, H Hu, L Dong, F Wei, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 1856 | 2020 |
Scaling vision transformers X Zhai, A Kolesnikov, N Houlsby, L Beyer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1440* | 2022 |
Vinvl: Revisiting visual representations in vision-language models P Zhang, X Li, X Hu, J Yang, L Zhang, L Wang, Y Choi, J Gao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 896 | 2021 |
Grounded language-image pre-training LH Li, P Zhang, H Zhang, J Yang, C Li, Y Zhong, L Wang, L Yuan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 726 | 2022 |
Florence: A new foundation model for computer vision L Yuan, D Chen, YL Chen, N Codella, X Dai, J Gao, H Hu, X Huang, B Li, ... arXiv preprint arXiv:2111.11432, 2021 | 722 | 2021 |
Provably robust deep learning via adversarially trained smoothed classifiers H Salman, J Li, I Razenshteyn, P Zhang, H Zhang, S Bubeck, G Yang Advances in neural information processing systems 32, 2019 | 555 | 2019 |
Regionclip: Region-based language-image pretraining Y Zhong, J Yang, P Zhang, C Li, N Codella, LH Li, L Zhou, X Dai, L Yuan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 392 | 2022 |
Object-driven text-to-image synthesis via adversarial training W Li, P Zhang, L Zhang, Q Huang, X He, S Lyu, J Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 340 | 2019 |
Multi-scale vision longformer: A new vision transformer for high-resolution image encoding P Zhang, X Dai, J Yang, B Xiao, L Yuan, L Zhang, J Gao Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 333 | 2021 |
An empirical study of training end-to-end vision-and-language transformers ZY Dou, Y Xu, Z Gan, J Wang, S Wang, L Wang, C Zhu, P Zhang, L Yuan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 315 | 2022 |
A convex relaxation barrier to tight robustness verification of neural networks H Salman, G Yang, H Zhang, CJ Hsieh, P Zhang Advances in Neural Information Processing Systems 32, 2019 | 244 | 2019 |
Dynamic detr: End-to-end object detection with dynamic attention X Dai, Y Chen, J Yang, P Zhang, L Yuan, L Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 242 | 2021 |
Glipv2: Unifying localization and vision-language understanding H Zhang, P Zhang, X Hu, YC Chen, L Li, X Dai, L Wang, L Yuan, ... Advances in Neural Information Processing Systems 35, 36067-36080, 2022 | 209 | 2022 |
Efficient self-supervised vision transformers for representation learning C Li, J Yang, P Zhang, M Gao, B Xiao, X Dai, L Yuan, J Gao arXiv preprint arXiv:2106.09785, 2021 | 205 | 2021 |
Unified contrastive learning in image-text-label space J Yang, C Li, P Zhang, B Xiao, C Liu, L Yuan, J Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 168 | 2022 |
Vinvl: Making visual representations matter in vision-language models P Zhang, X Li, X Hu, J Yang, L Zhang, L Wang, Y Choi, J Gao arXiv preprint arXiv:2101.00529 1 (6), 8, 2021 | 158 | 2021 |
On the discrimination-generalization tradeoff in GANs P Zhang, Q Liu, D Zhou, T Xu, X He arXiv preprint arXiv:1711.02771, 2017 | 130 | 2017 |
Understanding the role of momentum in stochastic gradient methods I Gitman, H Lang, P Zhang, L Xiao Advances in Neural Information Processing Systems 32, 2019 | 105 | 2019 |
Elevater: A benchmark and toolkit for evaluating language-augmented visual models C Li, H Liu, L Li, P Zhang, J Aneja, J Yang, P Jin, H Hu, Z Liu, YJ Lee, ... Advances in Neural Information Processing Systems 35, 9287-9301, 2022 | 104 | 2022 |