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09/09/2023
RRCNN^+: An Enhanced Residual Recursive Convolutional Neural Network for Non-stationary Signal Decomposition
Time-frequency analysis is an important and challenging task in many app...
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09/08/2023
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models
Diffusion models have revolted the field of text-to-image generation rec...
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08/30/2023
Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models
Denoising diffusion models have shown outstanding performance in image e...
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08/29/2023
Heterogeneous Multi-Task Gaussian Cox Processes
This paper presents a novel extension of multi-task Gaussian Cox process...
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08/17/2023
Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction
Keyphrase extraction (KPE) is an important task in Natural Language Proc...
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07/18/2023
On the (In)Effectiveness of Large Language Models for Chinese Text Correction
Recently, the development and progress of Large Language Models (LLMs) h...
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07/04/2023
RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network
The decomposition of non-stationary signals is an important and challeng...
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06/28/2023
Building Trust Profiles in Conditionally Automated Driving
Trust is crucial for ensuring the safety, security, and widespread adopt...
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05/28/2023
Investigating HMIs to Foster Communications between Conventional Vehicles and Autonomous Vehicles in Intersections
In mixed traffic environments that involve conventional vehicles (CVs) a...
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05/18/2023
A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users
Automated vehicles (AVs) are of great potential in reducing crashes on t...
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03/13/2023
An Improved Baseline Framework for Pose Estimation Challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop
This technical report describes our first-place solution to the pose est...
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02/01/2023
Navigating in the Dark – Designing Autonomous Driving Features to Assist Old Adults with Visual Impairments
Age-related macular degeneration is a leading cause of blindness worldwi...
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12/01/2022
Real-time Trust Prediction in Conditionally Automated Driving Using Physiological Measures
Trust calibration presents a main challenge during the interaction betwe...
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11/22/2022
Improving Crowded Object Detection via Copy-Paste
Crowdedness caused by overlapping among similar objects is a ubiquitous ...
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11/05/2022
Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles
There are still many challenges of emotion recognition using physiologic...
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10/25/2022
Information Filter upon Diversity-Improved Decoding for Diversity-Faithfulness Tradeoff in NLG
Some Natural Language Generation (NLG) tasks require both faithfulness a...
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10/23/2022
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Laplace approximation (LA) and its linearized variant (LLA) enable effor...
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10/21/2022
Design a Sustainable Micro-mobility Future: Trends and Challenges in the United States and European Union Using Natural Language Processing Techniques
Micro-mobility is promising to contribute to sustainable cities in the f...
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08/01/2022
De-biased Representation Learning for Fairness with Unreliable Labels
Removing bias while keeping all task-relevant information is challenging...
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07/30/2022
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data
Advanced driver assistance systems (ADAS) are designed to improve vehicl...
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07/30/2022
Towards Privacy-Preserving, Real-Time and Lossless Feature Matching
Most visual retrieval applications store feature vectors for downstream ...
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07/15/2022
Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality
With the level of automation increases in vehicles, such as conditional ...
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06/18/2022
Anticipated emotions associated with trust in autonomous vehicles
Trust in automation has been mainly studied in the cognitive perspective...
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04/30/2022
Deep Ensemble as a Gaussian Process Approximate Posterior
Deep Ensemble (DE) is an effective alternative to Bayesian neural networ...
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01/29/2022
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
The growing public concerns on data privacy in face recognition can be g...
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01/23/2022
Basket-based Softmax
Softmax-based losses have achieved state-of-the-art performances on vari...
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12/12/2021
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Bayesian neural networks (BNNs) have become a principal approach to alle...
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12/08/2021
An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving
Understanding how trust is built over time is essential, as trust plays ...
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11/05/2021
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline
The advancement in machine learning and artificial intelligence is promo...
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08/09/2021
An Autonomous Driving System - Dedicated Vehicle for People with ASD and their Caregivers
Automated driving system - dedicated vehicles (ADS-DVs), specially desig...
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08/04/2021
Learning Compatible Embeddings
Achieving backward compatibility when rolling out new models can highly ...
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07/25/2021
PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition
Despite the great success achieved by deep learning methods in face reco...
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07/21/2021
Investigating External Interaction Modality and Design Between Automated Vehicles and Pedestrians at Crossings
In this study, we investigated the effectiveness and user acceptance of ...
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07/20/2021
Predicting Driver Takeover Time in Conditionally Automated Driving
It is extremely important to ensure a safe takeover transition in condit...
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07/07/2021
Bias-Tolerant Fair Classification
The label bias and selection bias are acknowledged as two reasons in dat...
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06/09/2021
Nonlinear Hawkes Processes in Time-Varying System
Hawkes processes are a class of point processes that have the ability to...
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03/27/2021
Using Eye-tracking Data to Predict Situation Awareness in Real Time during Takeover Transitions in Conditionally Automated Driving
Situation awareness (SA) is critical to improving takeover performance d...
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03/11/2021
MagFace: A Universal Representation for Face Recognition and Quality Assessment
The performance of face recognition system degrades when the variability...
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03/03/2021
Predicting Driver Fatigue in Automated Driving with Explainability
Research indicates that monotonous automated driving increases the incid...
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03/01/2021
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models
Misinformation of COVID-19 is prevalent on social media as the pandemic ...
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02/10/2021
Searching for Alignment in Face Recognition
A standard pipeline of current face recognition frameworks consists of f...
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12/25/2020
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability
Technological advances in the automotive industry are bringing automated...
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10/06/2020
Psychophysiological responses to takeover requests in conditionally automated driving
In SAE Level 3 automated driving, taking over control from automation ra...
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10/06/2020
Emotional Design
Emotional design has been well recognized in the domain of human factors...
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09/21/2020
Physical-Layer Security for Two-Hop Air-to-Underwater Communication Systems With Fixed-Gain Amplify-and-Forward Relaying
We analyze a secure two-hop mixed radio frequency (RF) and underwater wi...
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08/23/2020
Visible Feature Guidance for Crowd Pedestrian Detection
Heavy occlusion and dense gathering in crowd scene make pedestrian detec...
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08/23/2020
Matching Guided Distillation
Feature distillation is an effective way to improve the performance for ...
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06/30/2020
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression
Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high ...
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06/23/2020
Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks
Hawkes process provides an effective statistical framework for analyzing...
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06/16/2020