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Taming Self-Supervised Learning for Presentation Attack Detection: In-Image De-Folding and Out-of-Image De-Mixing

Sep 09, 2021
Haozhe Liu, Zhe Kong, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch

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Deep 3D Mask Volume for View Synthesis of Dynamic Scenes

Aug 30, 2021
Kai-En Lin, Lei Xiao, Feng Liu, Guowei Yang, Ravi Ramamoorthi

* Published at ICCV 2021. Code and dataset available at: 

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Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism

Aug 16, 2021
Shulun Wang, Bin Liu, Feng Liu

* 18 pages, 16 figures 

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Learning Bounds for Open-Set Learning

Jun 30, 2021
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang

* Open-set Learning, Open-set Recognition, Machine Learning Theory 

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Local Reweighting for Adversarial Training

Jun 30, 2021
Ruize Gao, Feng Liu, Kaiwen Zhou, Gang Niu, Bo Han, James Cheng

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Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning

Jun 25, 2021
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng Ann Heng

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Fast Monte Carlo Rendering via Multi-Resolution Sampling

Jun 24, 2021
Qiqi Hou, Zhan Li, Carl S Marshall, Selvakumar Panneer, Feng Liu

* Graphic Interface 2021 

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Probabilistic Margins for Instance Reweighting in Adversarial Training

Jun 15, 2021
Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama

* 17 pages, 4 figures 

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Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data

Jun 14, 2021
Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland

* Code is available from 

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TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation

Jun 11, 2021
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok

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KRADA: Known-region-aware Domain Alignment for Open World Semantic Segmentation

Jun 11, 2021
Chenhong Zhou, Feng Liu, Chen Gong, Tongliang Liu, Bo Han, William Cheung

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SDNet: mutil-branch for single image deraining using swin

May 31, 2021
Fuxiang Tan, YuTing Kong, Yingying Fan, Feng Liu, Daxin Zhou, Hao zhang, Long Chen, Liang Gao, Yurong Qian

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Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction

Apr 02, 2021
Feng Liu, Luan Tran, Xiaoming Liu

* To appear in CVPR 2021 

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Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI

Mar 31, 2021
Xinwen Liu, Jing Wang, Fangfang Tang, Shekhar S. Chandra, Feng Liu, Stuart Crozier

* Presented at ISMRM 28th Annual Meeting & Exhibition (Poster #3619) 

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Group-wise Inhibition based Feature Regularization for Robust Classification

Mar 18, 2021
Haozhe Liu, Haoqian Wu, Weicheng Xie, Feng Liu, Linlin Shen

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Accelerating Quantitative Susceptibility Mapping using Compressed Sensing and Deep Neural Network

Mar 17, 2021
Yang Gao, Martijn Cloos, Feng Liu, Stuart Crozier, G. Bruce Pike, Hongfu Sun

* 10 figures 

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Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection

Mar 10, 2021
Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye

* This paper has been modified by the author due to errors 

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Universal Undersampled MRI Reconstruction

Mar 09, 2021
Xinwen Liu, Jing Wang, Feng Liu, S. Kevin Zhou

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Meta Discovery: Learning to Discover Novel Classes given Very Limited Data

Feb 18, 2021
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Gang Niu, Bo Han

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How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?

Dec 30, 2020
Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang

* 9 pages, 3 figures, Accepted by Association for the Advancement of Artificial Intelligence 2021 (AAAI 2021) 

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Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation

Dec 16, 2020
Mehdi Bahri, Eimear O' Sullivan, Shunwang Gong, Feng Liu, Xiaoming Liu, Michael M. Bronstein, Stefanos Zafeiriou

* In review with International Journal of Computer Vision (IJCV) 

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A Glimpse of the Whole: Path Optimization Prototypical Network for Few-Shot Encrypted Traffic Classification

Oct 26, 2020
Wenhao Li, Xiao-Yu Zhang, Haichao Shi, Feng Liu, Yunlin Ma, Zhaoxuan Li

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Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence

Oct 26, 2020
Feng Liu, Xiaoming Liu

* Accepted by NeurIPS 2020 

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Maximum Mean Discrepancy is Aware of Adversarial Attacks

Oct 22, 2020
Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama

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Learned Dual-View Reflection Removal

Oct 01, 2020
Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue


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Learning from a Complementary-label Source Domain: Theory and Algorithms

Aug 04, 2020
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu

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Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation

Jul 29, 2020
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu

* This paper has been accepted by IJCAI-PRICAI 2020 

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