| Online knowledge distillation via collaborative learning Q Guo, X Wang, Y Wu, Z Yu, D Liang, X Hu, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 332 | 2020 |
| 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 | 76 | 2024 |
| Dynamic Recursive Neural Network Qiushan Guo, Zhipeng Yu, Yichao Wu, Ding Liang, Haoyu Qin, Junjie Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 65* | 2019 |
| Scale-equivalent distillation for semi-supervised object detection Q Guo, Y Mu, J Chen, T Wang, Y Yu, P Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 33 | 2022 |
| Rethinking resolution in the context of efficient video recognition C Ma, Q Guo, Y Jiang, P Luo, Z Yuan, X Qi Advances in Neural Information Processing Systems 35, 37865-37877, 2022 | 14 | 2022 |
| Regiongpt: Towards region understanding vision language model Q Guo, S De Mello, H Yin, W Byeon, KC Cheung, Y Yu, P Luo, S Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| SpatialRGPT: Grounded Spatial Reasoning in Vision Language Model AC Cheng, H Yin, Y Fu, Q Guo, R Yang, J Kautz, X Wang, S Liu arXiv preprint arXiv:2406.01584, 2024 | 6 | 2024 |
| EGC: Image Generation and Classification via a Diffusion Energy-Based Model Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6* | 2023 |
| Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots C Wu, Y Ge, Q Guo, J Wang, Z Liang, Z Lu, Y Shan, P Luo arXiv preprint arXiv:2405.07990, 2024 | 4 | 2024 |
| MSFD:Multi-Scale Receptive Field Face Detector Q Guo, Y Dong, Y Guo, H Bai 2018 24th International Conference on Pattern Recognition (ICPR), 2018 | 4 | 2018 |
| Multi-Level Contrastive Learning for Dense Prediction Task Q Guo, Y Yu, Y Jiang, J Wu, Z Yuan, P Luo arXiv preprint arXiv:2304.02010, 2023 | 2 | 2023 |
| Adaptive parameters softmax loss for deep face recognition J Zhang, Q Guo, Y Dong, F Xiong, H Bai 2019 IEEE 5th International Conference on Computer and Communications (ICCC …, 2019 | 2 | 2019 |
| Companion guided soft margin for face recognition Y Su, Y Wu, Z Li, Q Guo, K Chen, J Yan, D Liang, X Hu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 1 | 2021 |
| Rethinking the Noise Schedule of Diffusion-Based Generative Models Q Guo, S Liu, Y Yu, P Luo | | |
| Scale-Invariant Teaching for Semi-Supervised Object Detection Q Guo, Y Yu, P Luo | | |
Ping Luo (羅平)Associate Professor, The University of Hong Kong在 hku.hk 的电子邮件经过验证
