b'Feng Liu'

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. ∙ 8 ∙ 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. ∙ 1 ∙ 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. ∙ 5 ∙ 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. ∙ 17 ∙ 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. ∙ 1 ∙ 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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Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition

This paper proposes an encoder-decoder network to disentangle shape feat...
03/30/2018 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Context-aware Synthesis for Video Frame Interpolation

Video frame interpolation algorithms typically estimate optical flow or ...
03/29/2018 ∙ by Simon Niklaus, et al. ∙ 2 ∙ share

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Learning Environmental Sounds with Multi-scale Convolutional Neural Network

Deep learning has dramatically improved the performance of sounds recogn...
03/25/2018 ∙ by Boqing Zhu, et al. ∙ 0 ∙ share

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Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool

In recent years, visual question answering (VQA) has become topical. The...
03/16/2018 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification

Recently, some studies have utilized the Markov Decision Process for div...
02/23/2018 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning

Crowd flow prediction is a fundamental urban computing problem. Recently...
02/01/2018 ∙ by Leye Wang, et al. ∙ 0 ∙ share

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Analysis of the Relation between Artificial Intelligence and the Internet from the Perspective of Brain Science

Artificial intelligence (AI) like deep learning, cloud AI computation ha...
01/02/2018 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Three IQs of AI Systems and their Testing Methods

The rapid development of artificial intelligence has brought the artific...
12/14/2017 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Mitigating Blackout Risk via Maintenance : Inference from Simulation Data

Whereas maintenance has been recognized as an important and effective me...
11/23/2017 ∙ by Jinpeng Guo, et al. ∙ 0 ∙ share

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iVQA: Inverse Visual Question Answering

In recent years, visual question answering (VQA) has become topical as a...
10/10/2017 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Intelligence Quotient and Intelligence Grade of Artificial Intelligence

Although artificial intelligence is currently one of the most interestin...
09/29/2017 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition

Face alignment and 3D face reconstruction are traditionally accomplished...
08/09/2017 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Video Frame Interpolation via Adaptive Separable Convolution

Standard video frame interpolation methods first estimate optical flow b...
08/05/2017 ∙ by Simon Niklaus, et al. ∙ 0 ∙ share

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Actor-Critic Sequence Training for Image Captioning

Generating natural language descriptions of images is an important capab...
06/29/2017 ∙ by Li Zhang, et al. ∙ 0 ∙ share

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Video Frame Interpolation via Adaptive Convolution

Video frame interpolation typically involves two steps: motion estimatio...
03/22/2017 ∙ by Simon Niklaus, et al. ∙ 0 ∙ share

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Feng Liu

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