lu qi
lu qi
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Title
Cited by
Cited by
Year
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
9352018
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
412019
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
302019
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
132020
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
122017
Sequential context encoding for duplicate removal
L Qi, S Liu, J Shi, J Jia
arXiv preprint arXiv:1810.08770, 2018
102018
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
52021
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
52017
LSUN’17: insatnce segmentation task, UCenter winner team
S Liu, L Qi, H Qin, J Shi, J Jia
Hawaii Convention Center, 2017
32017
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
22020
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
12021
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
12016
Scale-aware Automatic Augmentation for Object Detection
Y Chen, Y Li, T Kong, L Qi, R Chu, L Li, J Jia
arXiv preprint arXiv:2103.17220, 2021
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
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
L Qi, J Kuen, J Gu, Z Lin, Y Wang, Y Chen, Y Li, J Jia
Supplementary Material of LAPAR
W Li, K Zhou, L Qi, N Jiang, J Lu, J Jia
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