Qi She (佘琪)
Title
Cited by
Cited by
Year
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Z Wang, Q She, TE Ward
ACM Computing Surveys (CSUR) 54 (2), 1-38, 2021
1062021
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
Y Gao, Q She, J Ma, M Zhao, W Liu, AL Yuille
CVPR 2019, 3205-3214, 2019
492019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning
Q She, F Feng, X Hao, Q Yang, C Lan, V Lomonaco, X Shi, Z Wang, ...
ICRA 2020, 4767-4773, 2020
30*2020
Study of Automotive Interior Noise Contribution by Using Transfer Path Analysis [J]
Q She, H Zhou
Automobile Technology 3, 16-19, 2010
26*2010
Are we ready for service robots? The OpenLORIS-scene datasets for lifelong SLAM
X Shi, D Li, P Zhao, Q Tian, Y Tian, Q Long, C Zhu, J Song, F Qiao, ...
ICRA 2020, 3139-3145, 2020
252020
Stochastic Trajectory Prediction with Social Graph Network
L Zhang, Q She, P Guo
arXiv preprint arXiv:1907.10233, 2019
212019
Evaluating the small-world-ness of a sampled network: Functional connectivity of entorhinal-hippocampal circuitry
Q She, G Chen, RHM Chan
Nature Scientific Reports 6, 21468, 2016
172016
Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks
Z Wang, Q She, AF Smeaton, TE Ward, G Healy
Neurocomputing 405, 26-36, 2020
16*2020
Challenges in task incremental learning for assistive robotics
F Feng, RHM Chan, X Shi, Y Zhang, Q She
IEEE Access 8, 3434-3441, 2019
152019
Reduced-Rank Linear Dynamical Systems
Q She, Y Gao, R Xu, Kai;Chan
AAAI 2018, 4050-4057, 2018
132018
Neural dynamics discovery via gaussian process recurrent neural networks
Q She, A Wu
Uncertainty in Artificial Intelligence (UAI), 454-464, 2020
122020
Cross-frequency information transfer from EEG to EMG in grasping
WKY So, L Yang, B Jelfs, Q She, SWH Wong, JN Mak, RHM Chan
EMBC 2016, 4531-4534, 2016
82016
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]
Q She, F Feng, Q Liu, RHM Chan, X Hao, C Lan, Q Yang, V Lomonaco, ...
IEEE Robotics & Automation Magazine 27 (2), 11-16, 2020
6*2020
Reconstruction of neural network topology using spike train data: Small-world features of hippocampal network
Q She, WKY So, RHM Chan
EMBC 2015, 2506 - 2509, 2015
62015
Stochastic Dynamical Systems Based Latent Structure Discovery in High-Dimensional Time Series
Q She, RHM Chan
ICASSP 2018, 886-890, 2018
42018
Effective connectivity matrix for neural ensembles
Q She, WKY So, RHM Chan
EMBC 2016, 1612-1615, 2016
32016
An Efficient and Flexible Spike Train Model via Empirical Bayes
Q She, X Wu, B Jelfs, AS Charles, RHM Chan
arXiv preprint arXiv:1605.02869, 2021
2*2021
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
V Lomonaco, L Pellegrini, P Rodriguez, M Caccia, Q She, Y Chen, ...
arXiv preprint arXiv:2009.09929, 2020
22020
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
Z Wang, Q She, T Chalasani, A Smolic
CVPR 2020, Workshop on Continual Learning in Computer Vision, 2020
22020
A Neuro-AI Interface for Evaluating Generative Adversarial Networks
Z Wang, Q She, AF Smeaton, TE Ward, G Healy
ICLR 2020, Workshop Bridging AI and Cognitive Science (BAICS), 2020
22020
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