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08/15/2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models
Given a classifier, the inherent property of semantic Out-of-Distributio...
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07/06/2023
FITS: Modeling Time Series with 10k Parameters
In this paper, we introduce FITS, a lightweight yet powerful model for t...
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03/24/2023
Pi-ViMo: Physiology-inspired Robust Vital Sign Monitoring using mmWave Radars
Continuous monitoring of human vital signs using non-contact mmWave rada...
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03/15/2023
Active Teacher for Semi-Supervised Object Detection
In this paper, we study teacher-student learning from the perspective of...
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02/18/2023
FrAug: Frequency Domain Augmentation for Time Series Forecasting
Data augmentation (DA) has become a de facto solution to expand training...
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11/30/2022
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification
Deep Active Learning (DAL) has been advocated as a promising method to r...
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11/02/2022
Monolingual Recognizers Fusion for Code-switching Speech Recognition
The bi-encoder structure has been intensively investigated in code-switc...
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09/07/2022
Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image Detection
Distinguishing between computer-generated (CG) and natural photographic ...
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08/31/2022
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning
Deep Neural Networks (DNNs) have achieved excellent performance in vario...
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07/31/2022
Out-of-Distribution Detection with Semantic Mismatch under Masking
This paper proposes a novel out-of-distribution (OOD) detection framewor...
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06/29/2022
Language-specific Characteristic Assistance for Code-switching Speech Recognition
Dual-encoder structure successfully utilizes two language-specific encod...
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05/27/2022
Bias in the representative volume element method: periodize the ensemble instead of its realizations
We study the Representative Volume Element (RVE) method, which is a meth...
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05/26/2022
Are Transformers Effective for Time Series Forecasting?
Recently, there has been a surge of Transformer-based solutions for the ...
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03/16/2022
DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation
This paper proposes a simple baseline framework for video-based 2D/3D hu...
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01/24/2022
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction
Adversarial examples (AEs) pose severe threats to the applications of de...
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12/27/2021
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos
When analyzing human motion videos, the output jitters from existing pos...
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12/12/2021
DeepFIB: Self-Imputation for Time Series Anomaly Detection
Time series (TS) anomaly detection (AD) plays an essential role in vario...
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11/26/2021
Testability-Aware Low Power Controller Design with Evolutionary Learning
XORNet-based low power controller is a popular technique to reduce circu...
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11/26/2021
Representation Learning of Logic Circuits
Applying deep learning (DL) techniques in the electronic design automati...
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08/16/2021
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
Various deep learning techniques have been proposed to solve the single-...
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08/07/2021
Information Bottleneck Approach to Spatial Attention Learning
The selective visual attention mechanism in the human visual system (HVS...
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06/17/2021
Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction
Time series is a special type of sequence data, a set of observations co...
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05/30/2021
Hop-Aware Dimension Optimization for Graph Neural Networks
In Graph Neural Networks (GNNs), the embedding of each node is obtained ...
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05/21/2021
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
Deep learning (DL) has achieved unprecedented success in a variety of ta...
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05/10/2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference
This paper presents AppealNet, a novel edge/cloud collaborative architec...
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04/21/2021
Skimming and Scanning for Untrimmed Video Action Recognition
Video action recognition (VAR) is a primary task of video understanding,...
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12/10/2020
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis
Sensor-based time series analysis is an essential task for applications ...
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09/22/2020
App Parameter Energy Profiling: Optimizing App Energy Drain by Finding Tunable App Parameters
In this paper, we observe that modern mobile apps come with a large numb...
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09/21/2020
DeepDyve: Dynamic Verification for Deep Neural Networks
Deep neural networks (DNNs) have become one of the enabling technologies...
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07/18/2020
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach
Human poses that are rare or unseen in a training set are challenging fo...
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04/18/2020
The Effect of the Multi-Layer Text Summarization Model on the Efficiency and Relevancy of the Vector Space-based Information Retrieval
The massive upload of text on the internet creates a huge inverted index...
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12/30/2019
ICSTrace: A Malicious IP Traceback Model for Attacking Data of Industrial Control System
Considering the attacks against industrial control system are mostly org...
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12/09/2019
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image
In this paper, we propose a two-stage fully 3D network, namely DeepFuse,...
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12/05/2019
Region-Wise Attack: On Efficient Generation of Robust Physical Adversarial Examples
Deep neural networks (DNNs) are shown to be susceptible to adversarial e...
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11/23/2019
On Functional Test Generation for Deep Neural Network IPs
Machine learning systems based on deep neural networks (DNNs) produce st...
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03/26/2019
nuScenes: A multimodal dataset for autonomous driving
Robust detection and tracking of objects is crucial for the deployment o...
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12/26/2018
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image
In this paper, we propose a novel structure-aware 3D hourglass network f...
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12/06/2018
On Configurable Defense against Adversarial Example Attacks
Machine learning systems based on deep neural networks (DNNs) have gaine...
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10/19/2018
Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators
Neural approximate computing gains enormous energy-efficiency at the cos...
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03/05/2018
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators
Deep learning has become the de-facto computational paradigm for various...
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01/15/2018