| Path aggregation network for instance segmentation S Liu, L Qi, H Qin, J Shi, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1059 | 2018 |
| Faster R-CNN for marine organisms detection and recognition using data augmentation H Huang, H Zhou, X Yang, L Zhang, L Qi, AY Zang Neurocomputing 337, 372-384, 2019 | 46 | 2019 |
| Amodal instance segmentation with kins dataset L Qi, L Jiang, S Liu, X Shen, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 34 | 2019 |
| Mucan: Multi-correspondence aggregation network for video super-resolution W Li, X Tao, T Guo, L Qi, J Lu, J Jia European Conference on Computer Vision, 335-351, 2020 | 15 | 2020 |
| A novel biologically inspired visual cognition model: automatic extraction of semantics, formation of integrated concepts, and reselection features for ambiguity P Yin, H Qiao, W Wu, L Qi, Y Li, S Zhong, B Zhang IEEE Transactions on Cognitive and Developmental Systems 10 (2), 420-431, 2017 | 12 | 2017 |
| Dynamic Scale Training for Object Detection Y Chen, P Zhang, Z Li, Y Li, X Zhang, L Qi, J Sun, J Jia arXiv preprint arXiv:2004.12432, 2020 | 11* | 2020 |
| Sequential context encoding for duplicate removal L Qi, S Liu, J Shi, J Jia arXiv preprint arXiv:1810.08770, 2018 | 10 | 2018 |
| Faster R-CNN for marine organism detection and recognition using data augmentation H Zhou, H Huang, X Yang, L Zhang, L Qi Proceedings of the International Conference on Video and Image Processing, 56-62, 2017 | 6 | 2017 |
| Pointins: Point-based instance segmentation L Qi, Y Wang, Y Chen, YC Chen, X Zhang, J Sun, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 5 | 2021 |
| LSUN’17: insatnce segmentation task, UCenter winner team S Liu, L Qi, H Qin, J Shi, J Jia Hawaii Convention Center, 2017 | 3 | 2017 |
| RGB-D co-attention network for semantic segmentation H Zhou, L Qi, Z Wan, H Huang, X Yang Proceedings of the Asian Conference on Computer Vision, 2020 | 2 | 2020 |
| Lapar: Linearly-assembled pixel-adaptive regression network for single image super-resolution and beyond W Li, K Zhou, L Qi, N Jiang, J Lu, J Jia arXiv preprint arXiv:2105.10422, 2021 | 1 | 2021 |
| Scale-aware Automatic Augmentation for Object Detection Y Chen, Y Li, T Kong, L Qi, R Chu, L Li, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 1 | 2021 |
| A novel biologically mechanism-based visual cognition model--automatic extraction of semantics, formation of integrated concepts and re-selection features for ambiguity P Yin, H Qiao, W Wu, L Qi, YL Li, S Zhong, B Zhang arXiv preprint arXiv:1603.07886, 2016 | 1 | 2016 |
| Best-Buddy GANs for Highly Detailed Image Super-Resolution W Li, K Zhou, L Qi, L Lu, N Jiang, J Lu, J Jia arXiv preprint arXiv:2103.15295, 2021 | | 2021 |
| Multi-Scale Aligned Distillation for Low-Resolution Detection L Qi, J Kuen, J Gu, Z Lin, Y Wang, Y Chen, Y Li, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | | 2021 |
| Instance segmentation methods and apparatuses, electronic devices, programs, and media S Liu, L Qi, QIN Haifang, SHI Jianping, J Jia US Patent App. 16/729,423, 2020 | | 2020 |
| NFLB dropout: Improve generalization ability by dropping out the best-A biologically inspired adaptive dropout method for unsupervised learning P Yin, L Qi, X Xi, B Zhang, H Qiao 2016 International Joint Conference on Neural Networks (IJCNN), 1180-1186, 2016 | | 2016 |
| Transfer classification for distinct manifestations with shared information L Qi, P Yin, X Huang, K Chen, H Qiao 2016 12th World Congress on Intelligent Control and Automation (WCICA), 1234 …, 2016 | | 2016 |
| Multi-Scale Aligned Distillation for Low-Resolution Detection Supplementary Material L Qi, J Kuen, J Gu, Z Lin, Y Wang, Y Chen, Y Li, J Jia | | |
