Qi Li

Removing Backdoor-Based Watermarks in Neural Networks with Limited Data

Deep neural networks have been widely applied and achieved great success...
08/02/2020 ∙ by Xuankai Liu, et al. ∙ 0 ∙ share

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Low-light Image Restoration with Short- and Long-exposure Raw Pairs

Low-light imaging with handheld mobile devices is a challenging issue. L...
07/01/2020 ∙ by Meng Chang, et al. ∙ 0 ∙ share

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Quasi-Dense Instance Similarity Learning

Similarity metrics for instances have drawn much attention, due to their...
06/11/2020 ∙ by Jiangmiao Pang, et al. ∙ 1 ∙ share

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Reference Guided Face Component Editing

Face portrait editing has achieved great progress in recent years. Howev...
06/03/2020 ∙ by Qiyao Deng, et al. ∙ 0 ∙ share

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Improving supervised prediction of aging-related genes via dynamic network analysis

Motivation: This study focuses on supervised prediction of aging-related...
05/07/2020 ∙ by Qi Li, et al. ∙ 0 ∙ share

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Partially-Typed NER Datasets Integration: Connecting Practice to Theory

While typical named entity recognition (NER) models require the training...
05/01/2020 ∙ by Shi Zhi, et al. ∙ 5 ∙ share

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Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition

The dynamics of human skeletons have significant information for the tas...
04/21/2020 ∙ by Qi Li, et al. ∙ 0 ∙ share

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Negative Margin Matters: Understanding Margin in Few-shot Classification

This paper introduces a negative margin loss to metric learning based fe...
03/26/2020 ∙ by Bin Liu, et al. ∙ 5 ∙ share

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Beyond Camera Motion Removing: How to Handle Outliers in Deblurring

Performing camera motion deblurring is an important low-level vision tas...
02/24/2020 ∙ by Chenwei Yang, et al. ∙ 0 ∙ share

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Spatial-Adaptive Network for Single Image Denoising

Previous works have shown that convolutional neural networks can achieve...
01/28/2020 ∙ by Meng Chang, et al. ∙ 4 ∙ share

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Dual affine moment invariants

Affine transformation is one of the most common transformations in natur...
11/19/2019 ∙ by You Hao, et al. ∙ 0 ∙ share

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A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging

Face aging, which aims at aesthetically rendering a given face to predic...
11/15/2019 ∙ by Yunfan Liu, et al. ∙ 11 ∙ share

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Adversarial Example in Remote Sensing Image Recognition

With the wide application of remote sensing technology in various fields...
10/29/2019 ∙ by Li Chen, et al. ∙ 3 ∙ share

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HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories

GitHub has become an important platform for code sharing and scientific ...
10/16/2019 ∙ by Yu Zhang, et al. ∙ 11 ∙ share

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Improving sample diversity of a pre-trained, class-conditional GAN by changing its class embeddings

Mode collapse is a well-known issue with Generative Adversarial Networks...
10/10/2019 ∙ by Qi Li, et al. ∙ 22 ∙ share

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Improving Relation Extraction with Knowledge-attention

While attention mechanisms have been proven to be effective in many NLP ...
10/07/2019 ∙ by Kezhi Mao, et al. ∙ 0 ∙ share

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VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service

Machine Learning as a Service (MLaaS) allows clients with limited resour...
09/16/2019 ∙ by Lingchen Zhao, et al. ∙ 0 ∙ share

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Two Dimensional Router: Design and Implementation

Higher dimensional classification has attracted more attentions with inc...
08/12/2019 ∙ by Shu Yang, et al. ∙ 0 ∙ share

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Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings

Causality extraction from natural language texts is a challenging open p...
04/16/2019 ∙ by Zhaoning Li, et al. ∙ 0 ∙ share

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Age Progression and Regression with Spatial Attention Modules

Age progression and regression refers to aesthetically rendering a given...
03/06/2019 ∙ by Qi Li, et al. ∙ 0 ∙ share

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Network Service Dependencies in Commodity Internet-of-Things Devices

We continue to see increasingly widespread deployment of IoT devices, wi...
02/25/2019 ∙ by Poonam Yadav, et al. ∙ 0 ∙ share

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Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method

Convolutional neural networks (CNNs) are easily spoofed by adversarial e...
12/25/2018 ∙ by Li Chen, et al. ∙ 20 ∙ share

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Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects

Despite excellent performance on stationary test sets, deep neural netwo...
11/28/2018 ∙ by Michael A. Alcorn, et al. ∙ 19 ∙ share

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Understanding the Importance of Single Directions via Representative Substitution

Understanding the internal representations of deep neural networks (DNNs...
11/27/2018 ∙ by Li Chen, et al. ∙ 8 ∙ share

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Electricity consumption forecasting method based on MPSO-BP neural network model

This paper deals with the problem of the electricity consumption forecas...
10/21/2018 ∙ by Youshan Zhang, et al. ∙ 0 ∙ share

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A Regressive Convolution Neural network and Support Vector Regression Model for Electricity Consumption Forecasting

Electricity consumption forecasting has important implications for the m...
10/21/2018 ∙ by Youshan Zhang, et al. ∙ 0 ∙ share

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Finding Similar Medical Questions from Question Answering Websites

The past few years have witnessed the flourishing of crowdsourced medica...
10/14/2018 ∙ by Yaliang Li, et al. ∙ 0 ∙ share

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Interface-Based Side Channel Attack Against Intel SGX

Intel has introduced a trusted computing technology, Intel Software Guar...
10/08/2018 ∙ by Jinwen Wang, et al. ∙ 0 ∙ share

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Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks

Since it is difficult to collect face images of the same subject over a ...
09/18/2018 ∙ by Yunfan Liu, et al. ∙ 0 ∙ share

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Differential and integral invariants under Mobius transformation

One of the most challenging problems in the domain of 2-D image or 3-D s...
08/30/2018 ∙ by He Zhang, et al. ∙ 0 ∙ share

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Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization

3D face shape is more expressive and viewpoint-consistent than its 2D co...
01/28/2018 ∙ by Hongwen Zhang, et al. ∙ 0 ∙ share

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Global and Local Consistent Age Generative Adversarial Networks

Age progression/regression is a challenging task due to the complicated ...
01/25/2018 ∙ by Peipei Li, et al. ∙ 0 ∙ share

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Learning Deep Similarity Models with Focus Ranking for Fabric Image Retrieval

Fabric image retrieval is beneficial to many applications including clot...
12/29/2017 ∙ by Daiguo Deng, et al. ∙ 0 ∙ share

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Deep Supervised Discrete Hashing

With the rapid growth of image and video data on the web, hashing has be...
05/31/2017 ∙ by Qi Li, et al. ∙ 0 ∙ share

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Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection

Facial landmark detection is an important but challenging task for real-...
11/30/2016 ∙ by Hongwen Zhang, et al. ∙ 0 ∙ share

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Learning Word Sense Embeddings from Word Sense Definitions

Word embeddings play a significant role in many modern NLP systems. Sinc...
06/15/2016 ∙ by Qi Li, et al. ∙ 0 ∙ share

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Distributed Parameter Map-Reduce

This paper describes how to convert a machine learning problem into a se...
10/03/2015 ∙ by Qi Li, et al. ∙ 0 ∙ share

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Qi Li

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