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2020 – today
- 2024
[j10]Fan Feng
, Lu Hou, Qi She, Rosa H. M. Chan, James T. Kwok:
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8999-9013 (2024)- [i29]Qi She, Junwen Pan, Xin Wan, Rui Zhang, Dawei Lu, Kai Huang:
MammothModa: Multi-Modal Large Language Model. CoRR abs/2406.18193 (2024) - 2023
- [j9]Eoin Brophy, Zhengwei Wang, Qi She, Tomás Ward:
Generative Adversarial Networks in Time Series: A Systematic Literature Review. ACM Comput. Surv. 55(10): 199:1-199:31 (2023) - [j8]Lei Zhu, Qi She, Qian Chen, Xiangxi Meng, Mufeng Geng, Lujia Jin, Yibao Zhang, Qiushi Ren, Yanye Lu:
Background-Aware Classification Activation Map for Weakly Supervised Object Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14175-14191 (2023) - 2022
- [j7]Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni:
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. 303: 103635 (2022) - [j6]Zhengwei Wang, Qi She, Tomás E. Ward:
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy. ACM Comput. Surv. 54(2): 37:1-37:38 (2022) - [j5]Chuanlin Lan, Fan Feng, Qi Liu, Qi She, Qihan Yang, Xinyue Hao, Ivan Mashkin, Ka Shun Kei, Dong Qiang, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan:
Towards lifelong object recognition: A dataset and benchmark. Pattern Recognit. 130: 108819 (2022) - [c25]Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li:
Learning from Temporal Gradient for Semi-supervised Action Recognition. CVPR 2022: 3242-3252 - [c24]Lei Zhu, Qi She, Qian Chen, Yunfei You, Boyu Wang, Yanye Lu:
Weakly Supervised Object Localization as Domain Adaption. CVPR 2022: 14617-14626 - [c23]Li Yi, Sheng Liu, Qi She, A. Ian McLeod, Boyu Wang:
On Learning Contrastive Representations for Learning with Noisy Labels. CVPR 2022: 16661-16670 - [c22]Zhengyang Shen, Tao Hong, Qi She, Jinwen Ma, Zhouchen Lin:
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs. ICML 2022: 19827-19846 - [i28]Lei Zhu, Qi She, Qian Chen, Yunfei You, Boyu Wang, Yanye Lu:
Weakly Supervised Object Localization as Domain Adaption. CoRR abs/2203.01714 (2022) - [i27]Li Yi, Sheng Liu, Qi She, A. Ian McLeod, Boyu Wang:
On Learning Contrastive Representations for Learning with Noisy Labels. CoRR abs/2203.01785 (2022) - [i26]Zhengyang Shen, Tao Hong, Qi She, Jinwen Ma, Zhouchen Lin:
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs. CoRR abs/2208.03720 (2022) - 2021
- [j4]Qi She, Xiaoli Wu, Beth Jelfs, Adam S. Charles, Rosa H. M. Chan:
An Efficient and Flexible Spike Train Model Via Empirical Bayes. IEEE Trans. Signal Process. 69: 3236-3251 (2021) - [c21]Lin Zhang, Qi She, Zhengyang Shen, Changhu Wang:
Inter-intra Variant Dual Representations for Self-supervised Video Recognition. BMVC 2021: 39 - [c20]Zhengwei Wang, Qi She, Aljosa Smolic:
TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial Decoding. BMVC 2021: 260 - [c19]Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu:
Learning the Superpixel in a Non-Iterative and Lifelong Manner. CVPR 2021: 1225-1234 - [c18]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610 - [c17]Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen:
Involution: Inverting the Inherence of Convolution for Visual Recognition. CVPR 2021: 12321-12330 - [c16]Zhengwei Wang, Qi She, Aljosa Smolic:
ACTION-Net: Multipath Excitation for Action Recognition. CVPR 2021: 13214-13223 - [c15]Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming:
MT-ORL: Multi-Task Occlusion Relationship Learning. ICCV 2021: 9344-9353 - [c14]Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang:
Unifying Nonlocal Blocks for Neural Networks. ICCV 2021: 12272-12281 - [c13]Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee:
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis. ICCV 2021: 12558-12568 - [i25]Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen:
Involution: Inverting the Inherence of Convolution for Visual Recognition. CoRR abs/2103.06255 (2021) - [i24]Zhengwei Wang, Qi She, Aljosa Smolic:
ACTION-Net: Multipath Excitation for Action Recognition. CoRR abs/2103.07372 (2021) - [i23]Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu:
Learning the Superpixel in a Non-iterative and Lifelong Manner. CoRR abs/2103.10681 (2021) - [i22]Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee:
NeMI: Unifying Neural Radiance Fields with Multiplane Images for Novel View Synthesis. CoRR abs/2103.14910 (2021) - [i21]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i20]Lin Zhang, Qi She, Zhengyang Shen, Changhu Wang:
How Incomplete is Contrastive Learning? An Inter-intra Variant Dual Representation Method for Self-supervised Video Recognition. CoRR abs/2107.01194 (2021) - [i19]Eoin Brophy, Zhengwei Wang, Qi She, Tomás Ward:
Generative adversarial networks in time series: A survey and taxonomy. CoRR abs/2107.11098 (2021) - [i18]Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang:
Unifying Nonlocal Blocks for Neural Networks. CoRR abs/2108.02451 (2021) - [i17]Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming:
MT-ORL: Multi-Task Occlusion Relationship Learning. CoRR abs/2108.05722 (2021) - [i16]Cheng Xu, Weimin Wang, Shuai Liu, Yong Wang, Yuxiang Tang, Tianling Bian, Yanyu Yan, Qi She, Cheng Yang:
3rd Place Solution to Google Landmark Recognition Competition 2021. CoRR abs/2110.02794 (2021) - [i15]Zhengwei Wang, Qi She, Aljosa Smolic:
TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial Decoding. CoRR abs/2110.08814 (2021) - [i14]Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li:
Learning from Temporal Gradient for Semi-supervised Action Recognition. CoRR abs/2111.13241 (2021) - [i13]Lei Zhu, Qi She, Qian Chen, Xiangxi Meng, Mufeng Geng, Lujia Jin, Zhe Jiang, Bin Qiu, Yunfei You, Yibao Zhang, Qiushi Ren, Yanye Lu:
Background-aware Classification Activation Map for Weakly Supervised Object Localization. CoRR abs/2112.14379 (2021) - 2020
- [j3]Fan Feng, Rosa H. M. Chan, Xuesong Shi, Yimin Zhang, Qi She:
Challenges in Task Incremental Learning for Assistive Robotics. IEEE Access 8: 3434-3441 (2020) - [j2]Zhengwei Wang, Qi She, Alan F. Smeaton, Tomás E. Ward, Graham Healy:
Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks. Neurocomputing 405: 26-36 (2020) - [j1]Heechul Bae, Eoin Brophy, Rosa H. M. Chan, Baoquan Chen, Fan Feng, Gabriele Graffieti, Vidit Goel, Xinyue Hao, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Chuanlin Lan, Qi Liu, Vincenzo Lomonaco, Liang Ma, Davide Maltoni, German Ignacio Parisi, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Qi She, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qihan Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. IEEE Robotics Autom. Mag. 27(2): 11-16 (2020) - [c12]Zhengwei Wang, Qi She, Tejo Chalasani, Aljosa Smolic:
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition. CVPR Workshops 2020: 935-944 - [c11]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:
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. ICRA 2020: 3139-3145 - [c10]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:
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning. ICRA 2020: 4767-4773 - [i12]Zhengwei Wang, Qi She, Alan F. Smeaton, Tomas E. Ward, Graham Healy:
A Neuro-AI Interface for Evaluating Generative Adversarial Networks. CoRR abs/2003.03193 (2020) - [i11]Zhengwei Wang, Qi She, Tejo Chalasani, Aljosa Smolic:
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition. CoRR abs/2004.09215 (2020) - [i10]Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German Ignacio Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. CoRR abs/2004.14774 (2020) - [i9]Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni:
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR abs/2009.09929 (2020)
2010 – 2019
- 2019
- [c9]Qi She, Jingwei Zhang, Ya Zhou, Qing Yang, Mingfei Qin:
Distributed High-Dimension Matrix Operation Optimization on Spark. ICACI 2019: 268-273 - [c8]Qi She, Anqi Wu:
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. UAI 2019: 454-464 - [i8]Zhengwei Wang, Qi She, Alan F. Smeaton, Tomas E. Ward, Graham Healy:
Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks. CoRR abs/1905.04243 (2019) - [i7]Zhengwei Wang, Qi She, Tomas E. Ward:
Generative Adversarial Networks: A Survey and Taxonomy. CoRR abs/1906.01529 (2019) - [i6]Qi She, Anqi Wu:
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. CoRR abs/1907.00650 (2019) - [i5]Lidan Zhang, Qi She, Ping Guo:
Stochastic trajectory prediction with social graph network. CoRR abs/1907.10233 (2019) - [i4]Lei Zhu, Qi She, Lidan Zhang, Ping Guo:
A Spectral Nonlocal Block for Neural Networks. CoRR abs/1911.01059 (2019) - [i3]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:
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. CoRR abs/1911.05603 (2019) - [i2]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:
OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition. CoRR abs/1911.06487 (2019) - 2018
- [c7]Qi She, Yuan Gao, Kai Xu, Rosa H. M. Chan:
Reduced-Rank Linear Dynamical Systems. AAAI 2018: 4050-4057 - [c6]Jeremiah B. Palmerston, Qi She, Rosa H. M. Chan:
Weighted Network Density Predicts Range of Latent Variable Model Accuracy. EMBC 2018: 2414-2417 - [c5]Qi She, Rosa H. M. Chan:
Stochastic Dynamical Systems Based Latent Structure Discovery in High-Dimensional Time Series. ICASSP 2018: 886-890 - [i1]Yuan Gao, Qi She, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan L. Yuille:
NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction. CoRR abs/1801.08297 (2018) - 2016
- [c4]Qi She, Winnie K. Y. So, Rosa H. M. Chan:
Effective connectivity matrix for neural ensembles. EMBC 2016: 1612-1615 - [c3]Winnie K. Y. So, Lingling Yang, Beth Jelfs, Qi She, Savio W. H. Wong, Joseph N. Mak, Rosa H. M. Chan:
Cross-frequency information transfer from EEG to EMG in grasping. EMBC 2016: 4531-4534 - 2015
- [c2]Qi She, Winnie K. Y. So, Rosa H. M. Chan:
Reconstruction of neural network topology using spike train data: Small-world features of hippocampal network. EMBC 2015: 2506-2509 - 2013
- [c1]Xuezhang Hu, Sumit Chakravarty, Qi She, Boyu Wang:
A modified hierarchical graph cut based video segmentation approach for high frame rate video. Image Processing: Machine Vision Applications 2013: 86610V
Coauthor Index
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