Qi She（佘琪）'s publication

Qi She (佘琪)

Qi She (佘琪)

Selected Top-tier Publication

[Note] below peer-reviewed paper are updated by 04/15, 2024, and the full and most updated publication can be found at Google Scholar Page: Qi She

Journal

Background-aware Classification Activation Map for Weakly Supervised Object Localization
Lei Zhu, Qi She, Qian Chen, Xiangxi Meng, Mufeng Geng, Lujia Jin, Yibao Zhang, Qiushi Ren, Yanye Lu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

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Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment
Fan Feng, Lu Hou, Qi She , Rosa H. M. Chan, James T Kwok

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.

BibTex

Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang, Qi She , Tomas E Ward.

ACM Computing Surveys (CSUR), 2021.

PDF BibTex Code arXiv

Generative Adversarial Networks in Time Series: A Systematic Literature Review
Eoin Brophy, Zhengwei Wang, Qi She , Tomas E Ward.

ACM Computing Surveys (CSUR), 2023.

PDF BibTex arXiv

An Effcient and Flexible Spike Train Model via Empirical Bayes
Qi She , Xiaoli Wu, Beth Jelfs, Adam S. Charles, Rosa H. M. Chan.

IEEE Transactions on Signal Processing (TSP), 2021.

PDF BibTex Code arXiv

Synthetic-Neuroscore: Using a Neuro-AI Interface for Evaluating Generative Adversarial Networks
Zhengwei Wang, Qi She , Alan F Smeaton, Tomas E Ward, Graham Healy.

Neurocomputing, 2020.

PDF BibTex Code arXiv

Evaluating the Small-World-Ness of a Sampled Network: Functional Connectivity of Entorhinal-Hippocampal Circuitry
Qi She , Guanrong Chen, Rosa H. M. Chan.

Nature Scientific Reports, 2016.

PDF BibTex Nature Scientific Reports

Conference

PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
Zhenyang Shen, Tao Hong, Qi She, Jinwei Ma, Zhouchen Lin

International Conference on Machine Learning (ICML), 2022.

PDF BibTex arXiv

Weakly Supervised Object Localization as Domain Adaption
Lei Zhu, Qi She, Qian Chen, Yunfei You, Boyu Wang, Yanye Lu

Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

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On Learning Contrastive Representations for Learning with Noisy Labels
Li Yi, Sheng Liu, Qi She, Lei Zhu, A. Ian McLeod, Boyu Wang

Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

PDF BibTex arXiv

Learning from Temporal Gradient for Semi-supervised Action Recognition
Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li

Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

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Unifying Nonlocal Blocks for Neural Networks
Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang

International Conference on Computer Vision (ICCV), 2021.

PDF BibTex Code arXiv

MT-ORL: Multi-Task Occlusion Relationship Learning
Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin ZHANG, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming.

International Conference on Computer Vision (ICCV), 2021.

PDF BibTex Code arXiv

MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis
Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee.

International Conference on Computer Vision (ICCV), 2021.

PDF BibTex Code arXiv

Involution: Inverting the Inherence of Convolution for Visual Recognition
Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen.

Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

PDF BibTex Code arXiv

ACTION-Net: Multipath Excitation for Action Recognition
Zhengwei Wang, Qi She, Aljosa Smolic.

Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

PDF BibTex Code arXiv

Learning the Superpixel in a Non-iterative and Lifelong Manner
Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu.

Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

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OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning
Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan.

The International Conference on Robotics and Automation (ICRA), 2020.

PDF BibTex Project page Code arXiv

Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM
Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She

The International Conference on Robotics and Automation (ICRA), 2020.

PDF BibTex Project page arXiv

Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks
Qi She , Anqi Wu.

Uncertainty in Artificial Intelligence (UAI), 2019.

Oral PDF BibTex Code Supp. Materials arXiv

Reduced-Rank Linear Dynamical Systems
Qi She , Yuan Gao, Kai Xu, and Rosa H.M. Chan.

AAAI Conference on Artificial Intelligence (AAAI), 2018.

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Stochastic Dynamical Systems Based Latent Structure Discovery in High-dimensional Time Series
Qi She , Rosa H.M. Chan.

The international Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2018.

Workshop

Avalanche: an End-to-End Library for Continual Learning
CVPR 2021, Workshop on Continual Learning in Computer Vision.

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CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
Zhengwei Wang, Qi She , Tejo Chalasani, Aljosa Smolic.

CVPR 2020, Workshop on Continual Learning in Computer Vision.

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A Neuro-AI Interface for Evaluating Generative Adversarial Networks
Zhengwei Wang, Qi She , Alan F. Smeaton, Tomas E. Ward, Graham Healy.

ICLR 2020, Workshop on Bridging AI and Cognitive Science.

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