
ACDnet: An action detection network for realtime edge computing based on flowguided feature approximation and memory aggregation
Interpreting human actions requires understanding the spatial and tempor...
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CReST: A ClassRebalancing SelfTraining Framework for Imbalanced SemiSupervised Learning
Semisupervised learning on classimbalanced data, although a realistic ...
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Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences
Finding good correspondences is a critical prerequisite in many feature ...
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Generative Counterfactuals for Neural Networks via AttributeInformed Perturbation
With the wide use of deep neural networks (DNN), model interpretability ...
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Patternaware Data Augmentation for Query Rewriting in Voice Assistant Systems
Query rewriting (QR) systems are widely used to reduce the friction caus...
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MultiAspect Sentiment Analysis with Latent SentimentAspect Attribution
In this paper, we introduce a new framework called the sentimentaspect ...
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FaultAware Robust Control via Adversarial Reinforcement Learning
Robots have limited adaptation ability compared to humans and animals in...
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PAMS: Quantized SuperResolution via Parameterized Max Scale
Deep convolutional neural networks (DCNNs) have shown dominant performan...
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Logicguided Semantic Representation Learning for ZeroShot Relation Classification
Relation classification aims to extract semantic relations between entit...
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Sharp Biasvariance Tradeoffs of Hard Parameter Sharing in Highdimensional Linear Regression
Hard parameter sharing for multitask learning is widely used in empiric...
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Lineartime Temporal Logic with Team Semantics: Expressivity and Complexity
We study the expressivity and the model checking problem of linear tempo...
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RelativeNAS: Relative Neural Architecture Search via SlowFast Learning
Despite the remarkable successes of Convolutional Neural Networks (CNNs)...
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LaSOT: A Highquality Largescale Single Object Tracking Benchmark
Despite great recent advances in visual tracking, its further developmen...
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Edge statistics of large dimensional deformed rectangular matrices
We consider the edge statistics of large dimensional deformed rectangula...
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A Calibration Approach to Transportability with Observational Data
An important consideration in clinical research studies is proper evalua...
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TracyWidom distribution for the edge eigenvalues of Gram type random matrices
Large dimensional Gram type matrices are common objects in highdimensio...
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Cascade Graph Neural Networks for RGBD Salient Object Detection
In this paper, we study the problem of salient object detection (SOD) fo...
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PICNet: Point Cloud and Image Collaboration Network for LargeScale Place Recognition
Place recognition is one of the hot research fields in automation techno...
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Machine Learning Explanations to Prevent Overtrust in Fake News Detection
Combating fake news and misinformation propagation is a challenging task...
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ReMOTS: SelfSupervised Refining MultiObject Tracking and Segmentation
We aim to improve the performance of Multiple Object Tracking and Segmen...
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ReMOTS: Refining MultiObject Tracking and Segmentation
We aim to improve the performance of Multiple Object Tracking and Segmen...
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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 ...
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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 highstake app...
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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...
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MSDUnet: A MultiScale Dilated Unet for Blur Detection
Blur detection is the separation of blurred and clear regions of an imag...
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Acme: A Research Framework for Distributed Reinforcement Learning
Deep reinforcement learning has led to many recentand groundbreakingad...
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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...
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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...
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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...
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XGLUE: A New Benchmark Dataset for Crosslingual Pretraining, Understanding and Generation
In this paper, we introduce XGLUE, a new benchmark dataset to train larg...
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Discretetime Simulation of Stochastic Volterra Equations
We study discretetime simulation schemes for stochastic Volterra equati...
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EvolveGraph: Heterogeneous MultiAgent MultiModal Trajectory Prediction with Evolving Interaction Graphs
Multiagent interacting systems are prevalent in the world, from pure ph...
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On Metric DBSCAN with Low Doubling Dimension
The density based clustering method DensityBased Spatial Clustering of ...
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A DataDependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimensions
In this paper, we consider the following query problem: given two weight...
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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...
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Sample canonical correlation coefficients of highdimensional random vectors: local law and TracyWidom limit
Consider two random vectors C_1^1/2x∈R^p and C_2^1/2y∈R^q, where the ent...
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Hybrid Graph Neural Networks for Crowd Counting
Crowd counting is an important yet challenging task due to the large sca...
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Relational StateSpace Model for Stochastic MultiObject Systems
Realworld dynamical systems often consist of multiple stochastic subsys...
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Game Design for Eliciting Distinguishable Behavior
The ability to inferring latent psychological traits from human behavior...
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Dually Supervised Feature Pyramid for Object Detection and Segmentation
Feature pyramid architecture has been broadly adopted in object detectio...
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Reconfigurable Intelligent SurfaceBased Wireless Communication: Antenna Design, Prototyping and Experimental Results
One of the key enablers of future wireless communications is constituted...
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Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network
Bayesian optimization with Gaussian process as surrogate model has been ...
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Detecting Unknown Behaviors by Predefined Behaviours: An Bayesian Nonparametric Approach
An automatic mouse behavior recognition system can considerably reduce t...
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Analyzing InsectPlant Predation Data By Bayesian Nonparametrics
In the prospect of ecology and biology, studying insectplant predation ...
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Using panoramic videos for multiperson localization and tracking in a 3D panoramic coordinate
This work proposes a new humanrelated video processing task named 3D pa...
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TracKlinic: Diagnosis of Challenge Factors in Visual Tracking
Generic visual tracking is difficult due to many challenge factors (e.g....
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XDeep: An Interpretation Tool for Deep Neural Networks
XDeep is an opensource Python package developed to interpret deep model...
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A Hierarchical Mixture Density Network
The relationship among three correlated variables could be very sophisti...
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TruNet: Short Videos Generation from Long Videos via StoryPreserving Truncation
In this work, we introduce a new problem, named as storypreserving lon...
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ScoreCAM:Improved Visual Explanations Via ScoreWeighted Class Activation Mapping
Recently, more and more attention has been drawn into the internal mecha...
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Fan Yang
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Helsingin yliopisto
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Ph.D. Candidate, School of Information Science and Technology, Peking University