| 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 | 270 | 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 | 265 | 2015 |
| DeepFish: Accurate Underwater Live Fish Recognition with a Deep Architecture H Qin, X Li, J Liang, Y Peng, C Zhang Neurocomputing, 2015 | 258 | 2015 |
| Flowformer: A transformer architecture for optical flow Z Huang, X Shi, C Zhang, Q Wang, KC Cheung, H Qin, J Dai, H Li European conference on computer vision, 668-685, 2022 | 184 | 2022 |
| 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 | 181 | 2019 |
| 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 | 178 | 2021 |
| 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 | 154 | 2022 |
| 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 | 132 | 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 | 123 | 2018 |
| Impression network for video object detection C Hetang 2023 IEEE 3rd International Conference on Information Technology, Big Data …, 2023 | 55 | 2023 |
| 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 | 50 | 2021 |
| 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 | 48 | 2015 |
| Flowformer++: Masked cost volume autoencoding for pretraining optical flow estimation X Shi, Z Huang, D Li, M Zhang, KC Cheung, S See, H Qin, J Dai, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 41 | 2023 |
| 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 | 40 | 2022 |
| Learning degradation representations for image deblurring D Li, Y Zhang, KC Cheung, X Wang, H Qin, H Li European Conference on Computer Vision, 736-753, 2022 | 36 | 2022 |
| Videoflow: Exploiting temporal cues for multi-frame optical flow estimation X Shi, Z Huang, W Bian, D Li, M Zhang, KC Cheung, S See, H Qin, J Dai, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 25 | 2023 |
| Kbnet: Kernel basis network for image restoration Y Zhang, D Li, X Shi, D He, K Song, X Wang, H Qin, H Li arXiv preprint arXiv:2303.02881, 2023 | 24 | 2023 |
| 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 | 18 | 2014 |
| A simple baseline for video restoration with grouped spatial-temporal shift D Li, X Shi, Y Zhang, KC Cheung, S See, X Wang, H Qin, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
Yan WangTsinghua university; SenseTimeVerified email at air.tsinghua.edu.cn
