| 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 | 236 | 2016 |
| DeepFish: Accurate Underwater Live Fish Recognition with a Deep Architecture H Qin, X Li, J Liang, Y Peng, C Zhang Neurocomputing, 2015 | 171 | 2015 |
| 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 | 149 | 2015 |
| 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 | 105 | 2017 |
| 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 | 91 | 2019 |
| 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 | 81 | 2018 |
| Impression network for video object detection C Hetang, H Qin, S Liu, J Yan arXiv preprint arXiv:1712.05896, 2017 | 38 | 2017 |
| 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 | 32 | 2015 |
| 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 | 20 | 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 | 16 | 2014 |
| 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 | 15 | 2021 |
| 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 | 15 | 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 | 8 | 2020 |
| 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 | 4 | 2021 |
| Target tracking methods and apparatuses, electronic devices, and storage media S Liu, QIN Hongwei US Patent 11,216,955, 2022 | 2 | 2022 |
| HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning B Sun, M Gu, D He, T Xu, Y Wang, H Qin arXiv preprint arXiv:2109.14863, 2021 | 1 | 2021 |
| Image processing methods, training methods, apparatuses, devices, media, and programs Y Wei, QIN Hongwei US Patent App. 16/700,348, 2020 | 1 | 2020 |
| Efficient Burst Raw Denoising with Variance Stabilization and Multi-frequency Denoising Network D Li, Y Zhang, KL Law, X Wang, H Qin, H Li arXiv preprint arXiv:2205.04721, 2022 | | 2022 |
| FlowFormer: A Transformer Architecture for Optical Flow Z Huang, X Shi, C Zhang, Q Wang, KC Cheung, H Qin, J Dai, H Li arXiv preprint arXiv:2203.16194, 2022 | | 2022 |
| Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain L Guo, X Shi, D He, Y Wang, R Ma, H Qin, Y Wang arXiv preprint arXiv:2203.16357, 2022 | | 2022 |
Xiu LITsinghua UniversityVerified email at sz.tsinghua.edu.cn
