| Learning to detect a salient object T Liu, Z Yuan, J Sun, J Wang, N Zheng, X Tang, HY Shum IEEE Transactions on Pattern analysis and machine intelligence 33 (2), 353-367, 2010 | 3241 | 2010 |
| Automatic salient object segmentation based on context and shape prior. H Jiang, J Wang, Z Yuan, T Liu, N Zheng, S Li BMVC 6 (7), 9, 2011 | 601 | 2011 |
| End-to-end lane shape prediction with transformers R Liu, Z Yuan, T Liu, Z Xiong Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 280 | 2021 |
| Salient object detection J Sun, T Liu, X Tang, HY Shum US Patent 7,940,985, 2011 | 114 | 2011 |
| Learning based symmetric features selection for vehicle detection T Liu, N Zheng, L Zhao, H Cheng IEEE Proceedings. Intelligent Vehicles Symposium, 2005., 124-129, 2005 | 71 | 2005 |
| Visual saliency based object tracking G Zhang, Z Yuan, N Zheng, X Sheng, T Liu Computer Vision–ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an …, 2010 | 56 | 2010 |
| Video attention: Learning to detect a salient object sequence T Liu, N Zheng, Z Yuan 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 55 | 2008 |
| Distribution center location for green supply chain F Li, T Liu, H Zhang, R Cao, W Ding, JP Fasano 2008 IEEE International Conference on Service Operations and Logistics, and …, 2008 | 52 | 2008 |
| Picture collage T Liu, J Wang, J Sun, N Zheng, X Tang, HY Shum IEEE Transactions on Multimedia 11 (7), 1225-1239, 2009 | 46 | 2009 |
| Identifying source material associated with food products using bill of material HV Bhatt, RZ Cao, W Ding, XY He, S Jiang, J Lee, F Li, SG Li, T Liu, ... US Patent 8,285,593, 2012 | 35 | 2012 |
| Learning to predict 3d lane shape and camera pose from a single image via geometry constraints R Liu, D Chen, T Liu, Z Xiong, Z Yuan Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1765-1772, 2022 | 34 | 2022 |
| A novel approach of road recognition based on deformable template and genetic algorithm T Liu, N Zheng, H Cheng, Z Xing Proceedings of the 2003 IEEE International Conference on Intelligent …, 2003 | 29 | 2003 |
| LQGDNet: A local quaternion and global deep network for facial depression recognition Y Shang, Y Pan, X Jiang, Z Shao, G Guo, T Liu, H Ding IEEE Transactions on Affective Computing 14 (3), 2557-2563, 2021 | 28 | 2021 |
| Spatial–temporal attention network for depression recognition from facial videos Y Pan, Y Shang, T Liu, Z Shao, G Guo, H Ding, Q Hu Expert Systems with Applications 237, 121410, 2024 | 16 | 2024 |
| Salient object detection: Integrate salient features in the deep learning framework Q Chen, T Liu, Y Shang, Z Shao, H Ding IEEE Access 7, 152483-152492, 2019 | 14 | 2019 |
| Fusing structure and color features for cancelable face recognition Z Xu, Z Shao, Y Shang, B Li, H Ding, T Liu Multimedia Tools and Applications 80, 14477-14494, 2021 | 12 | 2021 |
| An approach of road recognition based mean shift and feature clustering H Cheng, N Zheng, T Liu 6th International Conference on Signal Processing, 2002. 2, 1059-1062, 2002 | 12 | 2002 |
| Spatial–Temporal Feature Network for Speech-Based Depression Recognition Z Han, Y Shang, Z Shao, J Liu, G Guo, T Liu, H Ding, Q Hu IEEE Transactions on Cognitive and Developmental Systems 16 (1), 308-318, 2023 | 11 | 2023 |
| Detection of salient objects with focused attention based on spatial and temporal coherence Y Wu, NN Zheng, ZJ Yuan, HZ Jiang, T Liu Chinese Science Bulletin 56, 1055-1062, 2011 | 11 | 2011 |
| Integrating deep facial priors into landmarks for privacy preserving multimodal depression recognition Y Pan, Y Shang, Z Shao, T Liu, G Guo, H Ding IEEE Transactions on Affective Computing, 2023 | 10 | 2023 |
