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Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning


Aug 15, 2021
Jiahao Wang, Yunhong Wang, Sheng Liu, Annan Li

* Accepted in ACM Multimedia 2021 

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OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning


Aug 08, 2021
Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu

* 10 pages 

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Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising


Jun 23, 2021
Sheng Liu, Xiaozhen Xie, Wenfeng Kong, Jifeng Ning


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Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training


Mar 01, 2021
Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu

* SL and XL contributed equally to this work; 23 pages, 6 figures, 6 tables 

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Hyperspectral Image Restoration via Multi-mode and Double-weighted Tensor Nuclear Norm Minimization


Jan 20, 2021
Sheng Liu, Xiaozhen Xie, Wenfeng Kong


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Adversarial Multiscale Feature Learning for Overlapping Chromosome Segmentation


Dec 22, 2020
Liye Mei, Yalan Yu, Yueyun Weng, Xiaopeng Guo, Yan Liu, Du Wang, Sheng Liu, Fuling Zhou, Cheng Lei


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Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion


Dec 03, 2020
Haijin Zeng, Sheng Liu, Jifeng Ning


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Urban Bike Lane Planning with Bike Trajectories: Models, Algorithms, and a Real-World Case Study


Aug 21, 2020
Sheng Liu, Zuo-Jun Max Shen, Xiang Ji


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Early-Learning Regularization Prevents Memorization of Noisy Labels


Jun 30, 2020
Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda


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Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition


Jun 06, 2020
Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li, Kui Ren


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On the design of convolutional neural networks for automatic detection of Alzheimer's disease


Nov 12, 2019
Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian

* Proceedings of Machine Learning Research, 2019 
* Machine Learning for Health Workshop, NeurIPS2019. Authors Fernandez-Granda and Razavian are joint last authors 

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Machine Discovery of Partial Differential Equations from Spatiotemporal Data


Sep 15, 2019
Ye Yuan, Junlin Li, Liang Li, Frank Jiang, Xiuchuan Tang, Fumin Zhang, Sheng Liu, Jorge Goncalves, Henning U. Voss, Xiuting Li, Jürgen Kurths, Han Ding


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Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data


Apr 10, 2019
Sheng Liu, Mark Cheng, Hayley Brooks, Wayne Mackey, David J. Heeger, Esteban G. Tabak, Carlos Fernandez-Granda


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Discovering Influential Factors in Variational Autoencoder


Sep 06, 2018
Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng

* 15 pages, 8 figures 

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Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network


Mar 05, 2018
Zhiyang Liu, Chen Cao, Shuxue Ding, Tong Han, Hong Wu, Sheng Liu

* submitted to Neuroimage: Clinical 

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Defect detection for patterned fabric images based on GHOG and low-rank decomposition


Feb 18, 2017
Chunlei Li, Guangshuai Gao, Zhoufeng Liu, Di Huang, Sheng Liu, Miao Yu


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