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Qi She (佘琪)
Qi She (佘琪)
Bytedance
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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
299*2021
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
1062019
Involution: Inverting the Inherence of Convolution for Visual Recognition
D Li, J Hu, C Wang, X Li, Q She, L Zhu, T Zhang, Q Chen
CVPR 2021, 2021
772021
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
50*2020
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
492020
Stochastic Trajectory Prediction with Social Graph Network
L Zhang, Q She, P Guo
arXiv preprint arXiv:1907.10233, 2019
472019
Avalanche: an End-to-End Library for Continual Learning
V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ...
CVPR 2021 Continual Learning Workshop, 2021
412021
ACTION-Net: Multipath Excitation for Action Recognition
Z Wang, Q She, A Smolic
CVPR 2021, 2021
272021
Challenges in task incremental learning for assistive robotics
F Feng, RHM Chan, X Shi, Y Zhang, Q She
IEEE Access 8, 3434-3441, 2019
272019
Neural dynamics discovery via gaussian process recurrent neural networks
Q She, A Wu
Uncertainty in Artificial Intelligence (UAI), 454-464, 2020
252020
Study of Automotive Interior Noise Contribution by Using Transfer Path Analysis [J]
Q She, H Zhou
Automobile Technology 3, 16-19, 2010
25*2010
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
192016
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, ...
Artificial Intelligence, 2022, 2022
172022
Reduced-Rank Linear Dynamical Systems
Q She, Y Gao, R Xu, Kai;Chan
AAAI 2018, 4050-4057, 2018
172018
Mine: Towards Continuous Depth MPI with Nerf for Novel View Synthesis
J Li, Z Feng, Q She, H Ding, C Wang, GH Lee
ICCV 2021, 12578-12588, 2021
152021
Generative adversarial networks in time series: A survey and taxonomy
E Brophy, Z Wang, Q She, T Ward
arXiv preprint arXiv:2107.11098, 2021
112021
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
92016
Openloris-object: A dataset and benchmark towards lifelong object recognition
Q She, F Feng, X Hao, Q Yang, C Lan, V Lomonaco, X Shi, Z Wang, ...
CoRR abs/1911.06487, 2019
82019
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
72020
IROS 2019 lifelong robotic vision: Object recognition challenge [competitions]
H Bae, E Brophy, RHM Chan, B Chen, F Feng, G Graffieti, V Goel, X Hao, ...
IEEE Robotics & Automation Magazine 27 (2), 11-16, 2020
72020
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Articles 1–20