| Structure-measure: A New Way to Evaluate Foreground Maps DP Fan, MM Cheng, Y Liu, T Li, A Borji IEEE International Conference on Computer Vision, 2017 | 1845 | 2017 |
| Richer Convolutional Features for Edge Detection Y Liu, MM Cheng, X Hu, JW Bian, L Zhang, X Bai, J Tang IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE CVPR 2017), 2019 | 1391 | 2019 |
| GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence JW Bian, WY Lin, Y Liu, L Zhang, SK Yeung, MM Cheng, I Reid International Journal of Computer Vision, 2020 | 844 | 2020 |
| Crowd Counting With Deep Negative Correlation Learning Z Shi, L Zhang, Y Liu, X Cao, Y Ye, MM Cheng, G Zheng IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 318 | 2018 |
| P2T: Pyramid Pooling Transformer for Scene Understanding YH Wu#, Y Liu#, X Zhan, MM Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 273 | 2022 |
| SAMNet: Stereoscopically Attentive Multi-scale Network for Lightweight Salient Object Detection Y Liu, XY Zhang, JW Bian, L Zhang, MM Cheng IEEE Transactions on Image Processing, 2021 | 217 | 2021 |
| EDN: Salient Object Detection via Extremely-Downsampled Network YH Wu#, Y Liu#, L Zhang, MM Cheng, B Ren IEEE Transactions on Image Processing, 2022 | 203 | 2022 |
| Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection Y Gu, L Wang, Z Wang, Y Liu, MM Cheng, SP Lu AAAI Conference on Artificial Intelligence, 2020 | 173 | 2020 |
| Leveraging Instance-, Image-and Dataset-Level Information for Weakly Supervised Instance Segmentation Y Liu, YH Wu, P Wen, Y Shi, Y Qiu, MM Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 161 | 2020 |
| MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation Y Qiu, Y Liu*, S Li, J Xu* AAAI Conference on Artificial Intelligence, 2021 | 160 | 2021 |
| MobileSal: Extremely Efficient RGB-D Salient Object Detection YH Wu, Y Liu, J Xu, JW Bian, Y Gu, MM Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 157 | 2021 |
| Rethinking Computer-aided Tuberculosis Diagnosis Y Liu, YH Wu, Y Ban, H Wang, MM Cheng IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020 | 146 | 2020 |
| Nonlinear Regression via Deep Negative Correlation Learning L Zhang, Z Shi, MM Cheng, Y Liu, JW Bian, JT Zhou, G Zheng, Z Zeng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 136 | 2019 |
| Multi-Level Context Ultra-Aggregation for Stereo Matching GY Nie, MM Cheng, Y Liu, Z Liang, DP Fan, Y Liu, Y Wang IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019 | 134 | 2019 |
| Vision Transformers with Hierarchical Attention Y Liu, YH Wu, G Sun, L Zhang, A Chhatkuli, L Van Gool Machine Intelligence Research, 2024 | 131* | 2024 |
| Lightweight Salient Object Detection via Hierarchical Visual Perception Learning Y Liu, YC Gu, XY Zhang, W Wang, MM Cheng IEEE Transactions on Cybernetics, 2020 | 123 | 2020 |
| Semantic Edge Detection with Diverse Deep Supervision Y Liu, MM Cheng, DP Fan, L Zhang, JW Bian, D Tao International Journal of Computer Vision, 2022 | 118 | 2022 |
| DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection Y Liu, MM Cheng, XY Zhang, GY Nie, M Wang IEEE Transactions on Cybernetics, 2021 | 118 | 2021 |
| An Evaluation of Feature Matchers for Fundamental Matrix Estimation JW Bian, YH Wu, J Zhao, Y Liu, L Zhang, MM Cheng, I Reid British Machine Vision Conference, 2019 | 100* | 2019 |
| LSDIR Dataset: A Large Scale Dataset for Image Restoration Y Li, K Zhang, J Liang, J Cao, C Liu, R Gong, Y Zhang, H Tang, Y Liu, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1775-1787, 2023 | 96 | 2023 |
Ming-Ming ChengProfessor of Computer Science, Nankai UniversityVerified email at nankai.edu.cn
