| Learning to detect salient objects with image-level supervision L Wang, H Lu, Y Wang, M Feng, D Wang, B Yin, X Ruan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 1181 | 2017 |
| Attentive Feedback Network for Boundary-aware Salient Object Detection M Feng, H Lu, E Ding Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 495 | 2019 |
| Structured siamese network for real-time visual tracking Y Zhang, L Wang, J Qi, D Wang, M Feng, H Lu Proceedings of the European Conference on Computer Vision (ECCV), 351-366, 2018 | 300 | 2018 |
| A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision R Wu, M Feng, W Guan, D Wang, H Lu, E Ding Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 265 | 2019 |
| Learning to Promote Saliency Detectors Y Zeng, H Lu, L Zhang, M Feng, A Borji Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 67 | 2018 |
| Hierarchical cellular automata for visual saliency Y Qin, M Feng, H Lu, GW Cottrell International Journal of Computer Vision 126 (7), 751-770, 2018 | 62 | 2018 |
| Residual learning for salient object detection M Feng, H Lu, Y Yu IEEE Transactions on Image Processing 29, 4696-4708, 2020 | 57 | 2020 |
| An Unsupervised Game-Theoretic Approach to Saliency Detection Y Zeng, M Feng, H Lu, G Yang, A Borji IEEE Transactions on Image Processing 27 (9), 4545-4554, 2018 | 41 | 2018 |
| Language-aware Weak Supervision for Salient Object Detection M Qian, J Qi, L Zhang, M Feng, H Lu Pattern Recognition, 2019 | 28 | 2019 |
| Spatial context-aware network for salient object detection Y Kong, M Feng, X Li, H Lu, X Liu, B Yin Pattern Recognition 114, 107867, 2021 | 26 | 2021 |
| A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images B Lei, J Ren, M Feng, M Cui, X Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Vanishing point attracts gaze in free-viewing and visual search tasks A Borji, M Feng, H Lu Journal of vision 16 (14), 18-18, 2016 | 13 | 2016 |
| Fixation prediction with a combined model of bottom-up saliency and vanishing point M Feng, A Borji, H Lu 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-7, 2016 | 10 | 2016 |
| DreaMoving: A Human Dance Video Generation Framework based on Diffusion Models M Feng, J Liu, K Yu, Y Yao, Z Hui, X Guo, X Lin, H Xue, C Shi, X Li, A Li, ... arXiv preprint arXiv:2312.05107, 2023 | 3 | 2023 |
| Boosting3D: High-Fidelity Image-to-3D by Boosting 2D Diffusion Prior to 3D Prior with Progressive Learning K Yu, J Liu, M Feng, M Cui, X Xie arXiv preprint arXiv:2311.13617, 2023 | 2 | 2023 |
| Vanishing point attracts eye movements in scene free-viewing A Borji, M Feng, H Lu arXiv preprint arXiv:1505.03578, 2015 | 2 | 2015 |
| Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models M Feng, J Liu, M Cui, X Xie arXiv preprint arXiv:2311.13141, 2023 | | 2023 |
| Corrections to: Vanishing point attracts gaze in free-viewing and A Borji, M Feng, H Lu | | 2017 |
| Vanishing point attracts gaze in free-viewing and visual search tasks.(vol 18, pg 18, 2016) A Borji, M Feng, H Lu JOURNAL OF VISION 17 (1), 2017 | | 2017 |
| Learning to Promote Saliency Detectors Supplementary Material Y Zeng, H Lu, L Zhang, M Feng, A Borji | | |
Huchuan Lu, IEEE FELLOWdalian university of technologyVerified email at dlut.edu.cn
