| Coordinate attention for efficient mobile network design Q Hou, D Zhou, J Feng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 3187 | 2021 |
| Deeply supervised salient object detection with short connections Q Hou, MM Cheng, X Hu, A Borji, Z Tu, PHS Torr IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (4), 815-828, 2019 | 1726 | 2019 |
| A simple pooling-based design for real-time salient object detection JJ Liu*, Q Hou*, MM Cheng, J Feng, J Jiang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1068 | 2019 |
| Salient object detection: A survey A Borji, MM Cheng, Q Hou, H Jiang, J Li Computational Visual Media, 1-34, 2019 | 952 | 2019 |
| Strip Pooling: Rethinking Spatial Pooling for Scene Parsing Q Hou, L Zhang, MM Cheng, J Feng CVPR2020, 2020 | 586 | 2020 |
| Rotate to attend: Convolutional triplet attention module D Misra, T Nalamada, AU Arasanipalai, Q Hou Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 533 | 2021 |
| Deepvit: Towards deeper vision transformer D Zhou, B Kang, X Jin, L Yang, X Lian, Z Jiang, Q Hou, J Feng arXiv preprint arXiv:2103.11886, 2021 | 531 | 2021 |
| Layercam: Exploring hierarchical class activation maps for localization PT Jiang, CB Zhang, Q Hou, MM Cheng, Y Wei IEEE Transactions on Image Processing 30, 5875-5888, 2021 | 464 | 2021 |
| Improving Convolutional Networks with Self-Calibrated Convolutions JJ Liu*, Q Hou*, MM Cheng, C Wang, J Feng IEEE Computer Vision and Pattern Recognition (CVPR), 2020 | 405 | 2020 |
| SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation MH Guo, CZ Lu, Q Hou, Z Liu, MM Cheng, SM Hu NeurIPS 2022, 2022 | 392 | 2022 |
| Salient objects in clutter: Bringing salient object detection to the foreground DP Fan, MM Cheng, JJ Liu, SH Gao, Q Hou, A Borji ECCV, 186-202, 2018 | 356 | 2018 |
| Self-erasing network for integral object attention Q Hou, PT Jiang, Y Wei, MM Cheng NeurIPS, 2018 | 314 | 2018 |
| Volo: Vision outlooker for visual recognition L Yuan*, Q Hou*, Z Jiang*, J Feng, S Yan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 275 | 2023 |
| Integral object mining via online attention accumulation PT Jiang, Q Hou, Y Cao, MM Cheng, Y Wei, HK Xiong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 233 | 2019 |
| All tokens matter: Token labeling for training better vision transformers ZH Jiang, Q Hou, L Yuan, D Zhou, Y Shi, X Jin, A Wang, J Feng Advances in neural information processing systems 34, 18590-18602, 2021 | 230* | 2021 |
| Rethinking Bottleneck Structure for Efficient Mobile Network Design D Zhou, Q Hou, Y Chen, J Feng, S Yan ECCV2020, 2020 | 227 | 2020 |
| Delving deep into label smoothing CB Zhang, PT Jiang, Q Hou, Y Wei, Q Han, Z Li, MM Cheng IEEE Transactions on Image Processing 30, 5984-5996, 2021 | 207 | 2021 |
| Vision permutator: A permutable mlp-like architecture for visual recognition Q Hou, Z Jiang, L Yuan, MM Cheng, S Yan, J Feng IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 1328-1334, 2023 | 167 | 2023 |
| Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton JJ Liu, Q Hou, MM Cheng IEEE Transactions on Image Processing, 2020 | 166* | 2020 |
| L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation PT Jiang, Y Yang, Q Hou, Y Wei CVPR2022, 2022 | 118 | 2022 |
Ming-Ming ChengProfessor of Computer Science, Nankai University在 nankai.edu.cn 的电子邮件经过验证
