Qi She (佘琪)

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i10-index	28	26

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Zhengwei WangByteDanceE-mailová adresa ověřena na: tcd.ie
Rosa H. M. ChanProfessor, Department of Electrical Engineering, City University of Hong KongE-mailová adresa ověřena na: cityu.edu.hk
Jie HuState Key Laboratory of Computer Science, Institute of Software,Chinese Academy of Sciences; MeituanE-mailová adresa ověřena na: ios.ac.cn
Eoin BrophyPhD, Insight Centre for Data Analytics, Dublin City UniversityE-mailová adresa ověřena na: dcu.ie
Aljosa SmolicProfessor, Lucerne University of Applied Sciences and ArtsE-mailová adresa ověřena na: hslu.ch
Tong ZhangUIUCE-mailová adresa ověřena na: tongzhang-ml.org
Beth JelfsDepartment of Electronic, Electrical & Systems Engineering, University of BirminghamE-mailová adresa ověřena na: bham.ac.uk
Anqi WuAssistant Professor, Computational Science and Engineering, Georgia TechE-mailová adresa ověřena na: gatech.edu
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityE-mailová adresa ověřena na: jhu.edu
DAVIDE MALTONIUniversity of BolognaE-mailová adresa ověřena na: csr.unibo.it
Guanrong ChenCity University of Hong KongE-mailová adresa ověřena na: cityu.edu.hk
Kai XuProfessor, National University of Defense Technology, ChinaE-mailová adresa ověřena na: nudt.edu.cn
Adam CharlesJohns Hopkins University, Department of Biomedical EngineeringE-mailová adresa ověřena na: jhu.edu
Massimo CacciaServiceNow ResearchE-mailová adresa ověřena na: servicenow.com

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Qi She (佘琪)

Další jménaShe Qi, 佘琪, Qi She

Bytedance

E-mailová adresa ověřena na: princeton.edu - Domovská stránka

Machine Learning Continual Learning Incremental Learning Computer Vision Robotics


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
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	765*	2021
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	431	2021
Generative adversarial networks in time series: A systematic literature review E Brophy, Z Wang, Q She, T Ward ACM Computing Surveys 55 (10), 1-31, 2023	309*	2023
ACTION-Net: Multipath Excitation for Action Recognition Z Wang, Q She, A Smolic CVPR 2021, 2021	244	2021
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	215	2021
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	169	2020
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	161	2021
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	146*	2020
Learning from Temporal Gradient for Semi-supervised Action Recognition J Xiao, L Jing, L Zhang, J He, Q She, Z Zhou, A Yuille, Y Li CVPR 2022, 2022	82	2022
Stochastic Trajectory Prediction with Social Graph Network L Zhang, Q She, P Guo arXiv preprint arXiv:1907.10233, 2019	82	2019
On Learning Contrastive Representations for Learning with Noisy Labels L Yi, S Liu, Q She, AI McLeod, B Wang CVPR 2022, 2022	70	2022
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	62	2022
Challenges in task incremental learning for assistive robotics F Feng, RHM Chan, X Shi, Y Zhang, Q She IEEE Access 8, 3434-3441, 2019	50	2019
Neural dynamics discovery via gaussian process recurrent neural networks Q She, A Wu Uncertainty in Artificial Intelligence (UAI), 454-464, 2020	43	2020
Learning the Superpixel in a Non-iterative and Lifelong Manner L Zhu, Q She, B Zhang, Y Lu, Z Lu, D Li, J Hu CVPR 2021, 2021	42	2021
Weakly Supervised Object Localization as Domain Adaption L Zhu, Q She, Q Chen, Y You, B Wang, Y Lu CVPR 2022, 2022	37	2022
Unifying Nonlocal Blocks for Neural Networks L Zhu, Q She, D Li, Y Lu, X Kang, J Hu, C Wang ICCV 2021, 2021	27	2021
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	27	2016
Background-aware classification activation map for weakly supervised object localization L Zhu, Q She, Q Chen, X Meng, M Geng, L Jin, Y Zhang, Q Ren, Y Lu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023	25	2023
Reduced-Rank Linear Dynamical Systems Q She, Y Gao, R Xu, Kai；Chan AAAI 2018, 4050-4057, 2018	22	2018

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