| 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 | 318 | 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 | 299 | 2022 |
| DeepFish: Accurate Underwater Live Fish Recognition with a Deep Architecture H Qin, X Li, J Liang, Y Peng, C Zhang Neurocomputing, 2015 | 287 | 2015 |
| 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 | 278 | 2016 |
| 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 | 266 | 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 | 263 | 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 | 219 | 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 | 145 | 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 | 137 | 2018 |
| 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 | 86 | 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 | 70 | 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 | 66 | 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 | 62 | 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 | 61 | 2023 |
| 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 | 57 | 2015 |
| Impression network for video object detection C Hetang 2023 IEEE 3rd International Conference on Information Technology, Big Data …, 2023 | 56 | 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 | 52 | 2023 |
| 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 | 45 | 2023 |
| Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling X Shi, Z Huang, FY Wang, W Bian, D Li, Y Zhang, M Zhang, KC Cheung, ... ACM SIGGRAPH 2024 Conference Papers, 1-11, 2024 | 39 | 2024 |
| PO-ELIC: Perception-oriented efficient learned image coding D He, Z Yang, H Yu, T Xu, J Luo, Y Chen, C Gao, X Shi, H Qin, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 25 | 2022 |
Yan WangTsinghua university; SenseTime在 mail.tsinghua.edu.cn 的电子邮件经过验证
