Detrs with collaborative hybrid assignments training Z Zong, G Song, Y Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 312 | 2023 |
Raphael: Text-to-image generation via large mixture of diffusion paths Z Xue, G Song, Q Guo, B Liu, Z Zong, Y Liu, P Luo Advances in Neural Information Processing Systems 36, 2024 | 111 | 2024 |
Graph attention based proposal 3d convnets for action detection J Li, X Liu, Z Zong, W Zhao, M Zhang, J Song Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4626-4633, 2020 | 51 | 2020 |
Temporal enhanced training of multi-view 3d object detector via historical object prediction Z Zong, D Jiang, G Song, Z Xue, J Su, H Li, Y Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 34 | 2023 |
Self-slimmed vision transformer Z Zong, K Li, G Song, Y Wang, Y Qiao, B Leng, Y Liu European Conference on Computer Vision, 432-448, 2022 | 25 | 2022 |
RCNet: Reverse feature pyramid and cross-scale shift network for object detection Z Zong, Q Cao, B Leng Proceedings of the 29th ACM International Conference on Multimedia, 5637-5645, 2021 | 22 | 2021 |
Mova: Adapting mixture of vision experts to multimodal context Z Zong, B Ma, D Shen, G Song, H Shao, D Jiang, H Li, Y Liu arXiv preprint arXiv:2404.13046, 2024 | 21 | 2024 |
Visual cot: Unleashing chain-of-thought reasoning in multi-modal language models H Shao, S Qian, H Xiao, G Song, Z Zong, L Wang, Y Liu, H Li arXiv preprint arXiv:2403.16999, 2024 | 21 | 2024 |
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models B Ma, Z Zong, G Song, H Li, Y Liu arXiv preprint arXiv:2406.11831, 2024 | 7 | 2024 |
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching D Jiang, G Song, X Wu, R Zhang, D Shen, Z Zong, Y Liu, H Li arXiv preprint arXiv:2404.03653, 2024 | 7 | 2024 |
Visual cot: Advancing multi-modal language models with a comprehensive dataset and benchmark for chain-of-thought reasoning H Shao, S Qian, H Xiao, G Song, Z Zong, L Wang, Y Liu, H Li The Thirty-eight Conference on Neural Information Processing Systems …, 2024 | 7 | 2024 |
Large-batch optimization for dense visual predictions Z Xue, J Liang, G Song, Z Zong, L Chen, Y Liu, P Luo Advances in Neural Information Processing Systems 1, 2022 | 5 | 2022 |
DETRs with collaborative hybrid assignments training (2023) Z Zong, G Song, Y Liu arXiv preprint arXiv:2211.12860, 0 | 5 | |
Large-batch optimization for dense visual predictions: Training faster R-CNN in 4.2 minutes Z Xue, J Liang, G Song, Z Zong, L Chen, Y Liu, P Luo Advances in Neural Information Processing Systems 35, 18694-18706, 2022 | 3 | 2022 |