| Joint Training of Cascaded CNN for Face Detection H Qin, J Yan, X Li, X Hu Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016 | 252 | 2016 |
| Fast accurate fish detection and recognition of underwater images with fast rcnn X Li, M Shang, H Qin, L Chen Oceans 2015, Washington DC, 2015 | 223 | 2015 |
| DeepFish: Accurate Underwater Live Fish Recognition with a Deep Architecture H Qin, X Li, J Liang, Y Peng, C Zhang Neurocomputing, 2015 | 219 | 2015 |
| Fully Quantized Network for Object Detection R Li, Y Wang, F Liang, H Qin, J Yan, R Fan Computer Vision and Pattern Recognition (CVPR), 2019 IEEE Conference on …, 2019 | 138 | 2019 |
| Scale-Aware Face Detection Z Hao, Y Liu, H Qin, J Yan, X Li, X Hu Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, 2017 | 121 | 2017 |
| Quantization Mimic: Towards Very Tiny CNN for Object Detection Y Wei, X Pan, H Qin, W Ouyang, J Yan European Conference on Computer Vision (ECCV) 2018, 2018 | 103 | 2018 |
| Checkerboard context model for efficient learned image compression D He, Y Zheng, B Sun, Y Wang, H Qin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 82 | 2021 |
| Flowformer: A transformer architecture for optical flow Z Huang, X Shi, C Zhang, Q Wang, KC Cheung, H Qin, J Dai, H Li Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 58 | 2022 |
| When Underwater Imagery Analysis Meets Deep Learning: a Solution at the Age of Big Visual Data H Qin, X Li, Z Yang, M Shang Oceans 2015, Washington DC, 2015 | 46 | 2015 |
| Impression network for video object detection C Hetang, H Qin, S Liu, J Yan arXiv preprint arXiv:1712.05896, 2017 | 44 | 2017 |
| Elic: Efficient learned image compression with unevenly grouped space-channel contextual adaptive coding D He, Z Yang, W Peng, R Ma, H Qin, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 38 | 2022 |
| Rethinking noise synthesis and modeling in raw denoising Y Zhang, H Qin, X Wang, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 28 | 2021 |
| IDR: Self-supervised image denoising via iterative data refinement Y Zhang, D Li, KL Law, X Wang, H Qin, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 22 | 2022 |
| DEPT: Depth Estimation by Parameter Transfer for Single Still Images X Li, H Qin, Y Wang, Y Zhang, Q Dai The 12th Asian Conference on Computer Vision (ACCV 2014), 2014 | 21 | 2014 |
| Foreground extraction of underwater videos via sparse and low-rank matrix decomposition H Qin, Y Peng, X Li 2014 ICPR Workshop on Computer Vision for Analysis of Underwater Imagery …, 2014 | 17 | 2014 |
| Depth Estimation by Parameter Transfer with a Lightweight Model for Single Still Images H Qin, X Li, Y Wang, Y Zhang, Q Dai Circuits and Systems for Video Technology (CSVT), IEEE Transactions on, 2016 | 16 | 2016 |
| Cross-dataset training for class increasing object detection Y Yao, Y Wang, Y Guo, J Lin, H Qin, J Yan arXiv preprint arXiv:2001.04621, 2020 | 13 | 2020 |
| Learning Degradation Representations for Image Deblurring D Li, Y Zhang, KC Cheung, X Wang, H Qin, H Li Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 10 | 2022 |
| Flexible neural image compression via code editing C Gao, T Xu, D He, Y Wang, H Qin Advances in Neural Information Processing Systems 35, 12184-12196, 2022 | 4 | 2022 |
| Efficient burst raw denoising with variance stabilization and multi-frequency denoising network D Li, Y Zhang, KL Law, X Wang, H Qin, H Li International Journal of Computer Vision 130 (8), 2060-2080, 2022 | 4 | 2022 |
Yan WangAssistant Professor, Tsinghua universityVerified email at air.tsinghua.edu.cn
