Fan Yang

RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning

Despite the remarkable successes of Convolutional Neural Networks (CNNs)...
09/14/2020 ∙ by Hao Tan, et al. ∙ 14 ∙ share

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LaSOT: A High-quality Large-scale Single Object Tracking Benchmark

Despite great recent advances in visual tracking, its further developmen...
09/08/2020 ∙ by Heng Fan, et al. ∙ 8 ∙ share

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Edge statistics of large dimensional deformed rectangular matrices

We consider the edge statistics of large dimensional deformed rectangula...
09/01/2020 ∙ by Xiucai Ding, et al. ∙ 0 ∙ share

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A Calibration Approach to Transportability with Observational Data

An important consideration in clinical research studies is proper evalua...
08/15/2020 ∙ by Kevin P. Josey, et al. ∙ 0 ∙ share

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Tracy-Widom distribution for the edge eigenvalues of Gram type random matrices

Large dimensional Gram type matrices are common objects in high-dimensio...
08/10/2020 ∙ by Xiucai Ding, et al. ∙ 0 ∙ share

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Cascade Graph Neural Networks for RGB-D Salient Object Detection

In this paper, we study the problem of salient object detection (SOD) fo...
08/07/2020 ∙ by Ao Luo, et al. ∙ 11 ∙ share

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PIC-Net: Point Cloud and Image Collaboration Network for Large-Scale Place Recognition

Place recognition is one of the hot research fields in automation techno...
08/03/2020 ∙ by Yuheng Lu, et al. ∙ 31 ∙ share

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Machine Learning Explanations to Prevent Overtrust in Fake News Detection

Combating fake news and misinformation propagation is a challenging task...
07/24/2020 ∙ by Sina Mohseni, et al. ∙ 16 ∙ share

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ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation

We aim to improve the performance of Multiple Object Tracking and Segmen...
07/07/2020 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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ReMOTS: Refining Multi-Object Tracking and Segmentation

We aim to improve the performance of Multiple Object Tracking and Segmen...
07/07/2020 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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Birds of a Feather Flock Together: Satirical News Detection via Language Model Differentiation

Satirical news is regularly shared in modern social media because it is ...
07/04/2020 ∙ by Yigeng Zhang, et al. ∙ 0 ∙ share

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An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks

With the widespread use of deep neural networks (DNNs) in high-stake app...
06/15/2020 ∙ by Ruixiang Tang, et al. ∙ 0 ∙ share

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Defending SVMs against Poisoning Attacks: the Hardness and DBSCAN Approach

Adversarial machine learning has attracted a great amount of attention i...
06/14/2020 ∙ by Hu Ding, et al. ∙ 60 ∙ share

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MSDU-net: A Multi-Scale Dilated U-net for Blur Detection

Blur detection is the separation of blurred and clear regions of an imag...
06/05/2020 ∙ by Fan Yang, et al. ∙ 15 ∙ share

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Acme: A Research Framework for Distributed Reinforcement Learning

Deep reinforcement learning has led to many recent-and groundbreaking-ad...
06/01/2020 ∙ by Matt Hoffman, et al. ∙ 22 ∙ share

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Linear spectral statistics of eigenvectors of anisotropic sample covariance matrices

Consider sample covariance matrices of the form Q:=Σ^1/2 X X^* Σ^1/2, wh...
05/03/2020 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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How to reduce dimension with PCA and random projections?

In our "big data" age, the size and complexity of data is steadily incre...
05/01/2020 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild

Unconstrained remote gaze estimation remains challenging mostly due to i...
04/07/2020 ∙ by Zhecan Wang, et al. ∙ 4 ∙ share

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XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

In this paper, we introduce XGLUE, a new benchmark dataset to train larg...
04/03/2020 ∙ by Yaobo Liang, et al. ∙ 0 ∙ share

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Discrete-time Simulation of Stochastic Volterra Equations

We study discrete-time simulation schemes for stochastic Volterra equati...
04/01/2020 ∙ by Alexandre Richard, et al. ∙ 0 ∙ share

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EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs

Multi-agent interacting systems are prevalent in the world, from pure ph...
03/31/2020 ∙ by Jiachen Li, et al. ∙ 10 ∙ share

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On Metric DBSCAN with Low Doubling Dimension

The density based clustering method Density-Based Spatial Clustering of ...
02/27/2020 ∙ by Hu Ding, et al. ∙ 0 ∙ share

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A Data-Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimensions

In this paper, we consider the following query problem: given two weight...
02/27/2020 ∙ by Hu Ding, et al. ∙ 0 ∙ share

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A Data Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimension

In this paper, we consider the following query problem: given two weight...
02/27/2020 ∙ by Hu Ding, et al. ∙ 0 ∙ share

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Sample canonical correlation coefficients of high-dimensional random vectors: local law and Tracy-Widom limit

Consider two random vectors C_1^1/2x∈R^p and C_2^1/2y∈R^q, where the ent...
02/22/2020 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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Hybrid Graph Neural Networks for Crowd Counting

Crowd counting is an important yet challenging task due to the large sca...
01/31/2020 ∙ by Ao Luo, et al. ∙ 16 ∙ share

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Relational State-Space Model for Stochastic Multi-Object Systems

Real-world dynamical systems often consist of multiple stochastic subsys...
01/13/2020 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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Game Design for Eliciting Distinguishable Behavior

The ability to inferring latent psychological traits from human behavior...
12/12/2019 ∙ by Fan Yang, et al. ∙ 6 ∙ share

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Dually Supervised Feature Pyramid for Object Detection and Segmentation

Feature pyramid architecture has been broadly adopted in object detectio...
12/08/2019 ∙ by Fan Yang, et al. ∙ 15 ∙ share

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Reconfigurable Intelligent Surface-Based Wireless Communication: Antenna Design, Prototyping and Experimental Results

One of the key enablers of future wireless communications is constituted...
12/08/2019 ∙ by Linglong Dai, et al. ∙ 0 ∙ share

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Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network

Bayesian optimization with Gaussian process as surrogate model has been ...
12/01/2019 ∙ by Shuhan Zhang, et al. ∙ 0 ∙ share

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Detecting Unknown Behaviors by Pre-defined Behaviours: An Bayesian Non-parametric Approach

An automatic mouse behavior recognition system can considerably reduce t...
11/25/2019 ∙ by Jin Watanabe, et al. ∙ 0 ∙ share

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Analyzing Insect-Plant Predation Data By Bayesian Nonparametrics

In the prospect of ecology and biology, studying insect-plant predation ...
11/25/2019 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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Using panoramic videos for multi-person localization and tracking in a 3D panoramic coordinate

This work proposes a new human-related video processing task named 3D pa...
11/24/2019 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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TracKlinic: Diagnosis of Challenge Factors in Visual Tracking

Generic visual tracking is difficult due to many challenge factors (e.g....
11/18/2019 ∙ by Heng Fan, et al. ∙ 6 ∙ share

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XDeep: An Interpretation Tool for Deep Neural Networks

XDeep is an open-source Python package developed to interpret deep model...
11/04/2019 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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A Hierarchical Mixture Density Network

The relationship among three correlated variables could be very sophisti...
10/23/2019 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation

In this work, we introduce a new problem, named as story-preserving lon...
10/14/2019 ∙ by Fan Yang, et al. ∙ 34 ∙ share

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Score-CAM:Improved Visual Explanations Via Score-Weighted Class Activation Mapping

Recently, more and more attention has been drawn into the internal mecha...
10/03/2019 ∙ by Haofan Wang, et al. ∙ 25 ∙ share

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Contextual Local Explanation for Black Box Classifiers

We introduce a new model-agnostic explanation technique which explains t...
10/02/2019 ∙ by Zijian Zhang, et al. ∙ 0 ∙ share

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GLA-Net: An Attention Network with Guided Loss for Mismatch Removal

Mismatch removal is a critical prerequisite in many feature-based tasks....
09/28/2019 ∙ by Zhi Chen, et al. ∙ 0 ∙ share

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Fairness in Deep Learning: A Computational Perspective

Deep learning is increasingly being used in high-stake decision making a...
08/23/2019 ∙ by Mengnan Du, et al. ∙ 0 ∙ share

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Learning Credible Deep Neural Networks with Rationale Regularization

Recent explainability related studies have shown that state-of-the-art D...
08/13/2019 ∙ by Mengnan Du, et al. ∙ 0 ∙ share

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Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images

Segmenting coronary arteries is challenging, as classic unsupervised met...
07/26/2019 ∙ by Fei Yu, et al. ∙ 2 ∙ share

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Make Skeleton-based Action Recognition Model Smaller, Faster and Better

Although skeleton-based action recognition has achieved great success in...
07/23/2019 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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Evaluating Explanation Without Ground Truth in Interpretable Machine Learning

Interpretable Machine Learning (IML) has become increasingly important i...
07/16/2019 ∙ by Fan Yang, et al. ∙ 7 ∙ share

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XFake: Explainable Fake News Detector with Visualizations

In this demo paper, we present the XFake system, an explainable fake new...
07/08/2019 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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Reconstructing Perceived Images from Brain Activity by Visually-guided Cognitive Representation and Adversarial Learning

Reconstructing perceived images based on brain signals measured with fun...
06/27/2019 ∙ by Ziqi Ren, et al. ∙ 8 ∙ share

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Data Augmentation for Object Detection via Progressive and Selective Instance-Switching

Collection of massive well-annotated samples is effective in improving o...
06/02/2019 ∙ by Hao Wang, et al. ∙ 0 ∙ share

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Diagonally-Dominant Principal Component Analysis

We consider the problem of decomposing a large covariance matrix into th...
05/31/2019 ∙ by Zheng Tracy Ke, et al. ∙ 0 ∙ share

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Fan Yang

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