b'Feng Liu'

Learning Bounds for Open-Set Learning

Traditional supervised learning aims to train a classifier in the closed...
06/30/2021 ∙ by Zhen Fang, et al. ∙ 6 ∙ share

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Local Reweighting for Adversarial Training

Instances-reweighted adversarial training (IRAT) can significantly boost...
06/30/2021 ∙ by Ruize Gao, et al. ∙ 0 ∙ share

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Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning

Fairness in recommendation has attracted increasing attention due to bia...
06/25/2021 ∙ by Weiwen Liu, et al. ∙ 0 ∙ share

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Fast Monte Carlo Rendering via Multi-Resolution Sampling

Monte Carlo rendering algorithms are widely used to produce photorealist...
06/24/2021 ∙ by Qiqi Hou, et al. ∙ 0 ∙ share

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Probabilistic Margins for Instance Reweighting in Adversarial Training

Reweighting adversarial data during training has been recently shown to ...
06/15/2021 ∙ by Qizhou Wang, et al. ∙ 0 ∙ share

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

Modern kernel-based two-sample tests have shown great success in disting...
06/14/2021 ∙ by Feng Liu, et al. ∙ 7 ∙ share

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

In few-shot domain adaptation (FDA), classifiers for the target domain a...
06/11/2021 ∙ by Haoang Chi, et al. ∙ 0 ∙ share

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

In semantic segmentation, we aim to train a pixel-level classifier to as...
06/11/2021 ∙ by Chenhong Zhou, et al. ∙ 0 ∙ share

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Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction

Inferring 3D structure of a generic object from a 2D image is a long-sta...
04/02/2021 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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

MRI images of the same subject in different contrasts contain shared inf...
03/31/2021 ∙ by Xinwen Liu, et al. ∙ 0 ∙ share

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An Identity-based Batch Verification Scheme for VANETs Based on Ring Signature with Efficient Revocation

Vehicular ad-hoc networks (VANETs) are one of the most important compone...
03/13/2021 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Universal Undersampled MRI Reconstruction

Deep neural networks have been extensively studied for undersampled MRI ...
03/09/2021 ∙ by Xinwen Liu, et al. ∙ 0 ∙ share

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

Few-shot object detection has made substantial progressby representing n...
03/08/2021 ∙ by Bohao Li, et al. ∙ 0 ∙ share

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Group-wise Inhibition based Feature Regularization for Robust Classification

The vanilla convolutional neural network (CNN) is vulnerable to images w...
03/03/2021 ∙ by Haozhe Liu, et al. ∙ 4 ∙ share

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

In learning to discover novel classes(L2DNC), we are given labeled data ...
02/08/2021 ∙ by Haoang Chi, et al. ∙ 0 ∙ share

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

Unsupervised domain adaptation (UDA) aims to train a target classifier w...
12/30/2020 ∙ by Li Zhong, et al. ∙ 9 ∙ share

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

The goal of this paper is to learn dense 3D shape correspondence for top...
10/23/2020 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Maximum Mean Discrepancy is Aware of Adversarial Attacks

The maximum mean discrepancy (MMD) test, as a representative two-sample ...
10/22/2020 ∙ by Ruize Gao, et al. ∙ 0 ∙ share

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Learned Dual-View Reflection Removal

Traditional reflection removal algorithms either use a single image as i...
10/01/2020 ∙ by Simon Niklaus, et al. ∙ 5 ∙ share

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

In unsupervised domain adaptation (UDA), a classifier for the target dom...
08/04/2020 ∙ by Yiyang Zhang, et al. ∙ 2 ∙ share

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

In unsupervised domain adaptation (UDA), classifiers for the target doma...
07/29/2020 ∙ by Yiyang Zhang, et al. ∙ 6 ∙ share

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Domain Contrast for Domain Adaptive Object Detection

We present Domain Contrast (DC), a simple yet effective approach inspire...
06/26/2020 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation

In the unsupervised open set domain adaptation (UOSDA), the target domai...
06/23/2020 ∙ by Li Zhong, et al. ∙ 18 ∙ share

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Inter-sequence Enhanced Framework for Personalized Sequential Recommendation

Modeling the sequential correlation of users' historical interactions is...
04/25/2020 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Deep Homography Estimation for Dynamic Scenes

Homography estimation is an important step in many computer vision probl...
04/05/2020 ∙ by Hoang Le, et al. ∙ 4 ∙ share

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Local Facial Makeup Transfer via Disentangled Representation

Facial makeup transfer aims to render a non-makeup face image in an arbi...
03/27/2020 ∙ by Zhaoyang Sun, et al. ∙ 0 ∙ share

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Softmax Splatting for Video Frame Interpolation

Differentiable image sampling in the form of backward warping has seen b...
03/11/2020 ∙ by Simon Niklaus, et al. ∙ 6 ∙ share

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Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation

The midline related pathological image features are crucial for evaluati...
02/27/2020 ∙ by Shen Wang, et al. ∙ 32 ∙ share

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Learning Deep Kernels for Non-Parametric Two-Sample Tests

We propose a class of kernel-based two-sample tests, which aim to determ...
02/21/2020 ∙ by Feng Liu, et al. ∙ 17 ∙ share

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A Zero-Shot based Fingerprint Presentation Attack Detection System

With the development of presentation attacks, Automated Fingerprint Reco...
02/12/2020 ∙ by Haozhe Liu, et al. ∙ 0 ∙ share

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Frosting Weights for Better Continual Training

Training a neural network model can be a lifelong learning process and i...
01/07/2020 ∙ by Xiaofeng Zhu, et al. ∙ 0 ∙ share

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On the Detection of Digital Face Manipulation

Detecting manipulated facial images and videos is an increasingly import...
10/03/2019 ∙ by Joel Stehouwer, et al. ∙ 12 ∙ share

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IBRS: An Efficient Identity-based Batch Verification Scheme for VANETs Based on Ring Signature

Vehicular ad-hoc networks (VANETs) are one of the most important compone...
09/29/2019 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation

Natural image matting is an important problem in computer vision and gra...
09/20/2019 ∙ by Qiqi Hou, et al. ∙ 1 ∙ share

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3D Ken Burns Effect from a Single Image

The Ken Burns effect allows animating still images with a virtual camera...
09/12/2019 ∙ by Simon Niklaus, et al. ∙ 0 ∙ share

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On Learning Disentangled Representations for Gait Recognition

Gait, the walking pattern of individuals, is one of the important biomet...
09/05/2019 ∙ by Ziyuan Zhang, et al. ∙ 11 ∙ share

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Meta Learning with Relational Information for Short Sequences

This paper proposes a new meta-learning method -- named HARMLESS (HAwkes...
09/04/2019 ∙ by Yujia Xie, et al. ∙ 22 ∙ share

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MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences

Chinese meme-face is a special kind of internet subculture widely spread...
08/14/2019 ∙ by Yifu Chen, et al. ∙ 0 ∙ share

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Open Set Domain Adaptation: Theoretical Bound and Algorithm

Unsupervised domain adaptation for classification tasks has achieved gre...
07/19/2019 ∙ by Zhen Fang, et al. ∙ 2 ∙ share

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Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior

Brain source imaging is an important method for noninvasively characteri...
06/05/2019 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Butterfly: A Panacea for All Difficulties in Wildly Unsupervised Domain Adaptation

In unsupervised domain adaptation (UDA), classifiers for the target doma...
05/19/2019 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Butterfly: Robust One-step Approach towards Wildly-unsupervised Domain Adaptation

Unsupervised domain adaptation (UDA) trains with clean labeled data in s...
05/19/2019 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Towards High-fidelity Nonlinear 3D Face Morphable Model

Embedding 3D morphable basis functions into deep neural networks opens g...
04/09/2019 ∙ by Luan Tran, et al. ∙ 30 ∙ share

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Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment

Continuous integration is an indispensable step of modern software engin...
03/01/2019 ∙ by Cèdric Renggli, et al. ∙ 0 ∙ share

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3D Face Modeling from Diverse Raw Scan Data

Traditional 3D models learn a latent representation of faces using linea...
02/13/2019 ∙ by Feng Liu, et al. ∙ 4 ∙ share

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Joint Stabilization and Direction of 360°Videos

360 video provides an immersive experience for viewers, allowing them to...
01/14/2019 ∙ by Chengzhou Tang, et al. ∙ 0 ∙ share

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On Computation and Generalization of GANs with Spectrum Control

Generative Adversarial Networks (GANs), though powerful, is hard to trai...
12/28/2018 ∙ by Haoming Jiang, et al. ∙ 8 ∙ share

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Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling

Recommendation is crucial in both academia and industry, and various tec...
10/29/2018 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation

The KNN approach, which is widely used in recommender systems because of...
07/16/2018 ∙ by Huifeng Guo, et al. ∙ 0 ∙ share

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Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base

The unclear development direction of human society is a deep reason for ...
06/09/2018 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Feng Liu

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