| 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 | 2147 | 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 | 72 | 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 | 65 | 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 | 42 | 2020 |
| 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 | 35* | 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 Advances in Neural Information Processing Systems 33, 20343-20355, 2020 | 19 | 2020 |
| Sequential context encoding for duplicate removal L Qi, S Liu, J Shi, J Jia Advances in Neural Information Processing Systems 31, 2018 | 19 | 2018 |
| 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 | 16 | 2021 |
| 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 | 13 | 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 | 13 | 2017 |
| 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 | 11 | 2017 |
| 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 | 8 | 2021 |
| Open-world entity segmentation L Qi, J Kuen, Y Wang, J Gu, H Zhao, Z Lin, P Torr, J Jia arXiv preprint arXiv:2107.14228, 2021 | 7 | 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 | 7 | 2021 |
| Fully convolutional networks for panoptic segmentation with point-based supervision Y Li, H Zhao, X Qi, Y Chen, L Qi, L Wang, Z Li, J Sun, J Jia arXiv preprint arXiv:2108.07682, 2021 | 6 | 2021 |
| 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 | 5 | 2021 |
| Image Synthesis via Semantic Composition Y Wang, L Qi, YC Chen, X Zhang, J Jia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| CANet: Co-attention network for RGB-D semantic segmentation H Zhou, L Qi, H Huang, X Yang, Z Wan, X Wen Pattern Recognition 124, 108468, 2022 | 3 | 2022 |
| ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation R Chu, Y Chen, T Kong, L Qi, L Li IEEE Robotics and Automation Letters 7 (1), 57-64, 2021 | 3 | 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 |
Jiaya JiaProfessor, CUHKVerified email at cse.cuhk.edu.hk
