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Feng Liu

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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

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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

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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

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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

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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

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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

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