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ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregation
Interpreting human actions requires understanding the spatial and tempor...
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CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Semi-supervised learning on class-imbalanced 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 Attribute-Informed Perturbation
With the wide use of deep neural networks (DNN), model interpretability ...
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Pattern-aware 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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Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution
In this paper, we introduce a new framework called the sentiment-aspect ...
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Fault-Aware Robust Control via Adversarial Reinforcement Learning
Robots have limited adaptation ability compared to humans and animals in...
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PAMS: Quantized Super-Resolution via Parameterized Max Scale
Deep convolutional neural networks (DCNNs) have shown dominant performan...
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Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification
Relation classification aims to extract semantic relations between entit...
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Sharp Bias-variance Tradeoffs of Hard Parameter Sharing in High-dimensional Linear Regression
Hard parameter sharing for multi-task learning is widely used in empiric...
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Linear-time 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 Slow-Fast Learning
Despite the remarkable successes of Convolutional Neural Networks (CNNs)...
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LaSOT: A High-quality Large-scale 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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Tracy-Widom distribution for the edge eigenvalues of Gram type random matrices
Large dimensional Gram type matrices are common objects in high-dimensio...
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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...
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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...
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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: Self-Supervised Refining Multi-Object Tracking and Segmentation
We aim to improve the performance of Multiple Object Tracking and Segmen...
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ReMOTS: Refining Multi-Object 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 high-stake 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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MSDU-net: A Multi-Scale Dilated U-net 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 recent-and groundbreaking-ad...
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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 Cross-lingual Pre-training, Understanding and Generation
In this paper, we introduce XGLUE, a new benchmark dataset to train larg...
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Discrete-time Simulation of Stochastic Volterra Equations
We study discrete-time simulation schemes for stochastic Volterra equati...
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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...
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On Metric DBSCAN with Low Doubling Dimension
The density based clustering method Density-Based Spatial Clustering of ...
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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...
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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 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...
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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 State-Space Model for Stochastic Multi-Object Systems
Real-world 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 Surface-Based 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 Pre-defined Behaviours: An Bayesian Non-parametric Approach
An automatic mouse behavior recognition system can considerably reduce t...
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Analyzing Insect-Plant Predation Data By Bayesian Nonparametrics
In the prospect of ecology and biology, studying insect-plant predation ...
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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...
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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 open-source 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 Story-Preserving Truncation
In this work, we introduce a new problem, named as story-preserving lon...
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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...
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