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
5292018
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
262019
Amodal instance segmentation with kins dataset
L Qi, L Jiang, S Liu, X Shen, J Jia
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
142019
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
102017
Sequential context encoding for duplicate removal
L Qi, S Liu, J Shi, J Jia
Advances in Neural Information Processing Systems, 2049-2058, 2018
72018
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
22017
LSUN’17: insatnce segmentation task, UCenter winner team
S Liu, L Qi, H Qin, J Shi, J Jia
22017
PointINS: Point-based Instance Segmentation
L Qi, X Zhang, Y Chen, Y Chen, J Sun, J Jia
arXiv preprint arXiv:2003.06148, 2020
12020
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
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
2020
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
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, 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
Supplementary Material of LAPAR
W Li, K Zhou, L Qi, N Jiang, J Lu, J Jia
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