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09/18/2023
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective
Two prevalent types of distributional shifts in machine learning are the...
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09/15/2023
A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification
Aims. The purpose of this study is to create a multi-stage machine learn...
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09/08/2023
Toward Sufficient Spatial-Frequency Interaction for Gradient-aware Underwater Image Enhancement
Underwater images suffer from complex and diverse degradation, which ine...
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08/31/2023
Adaptation Speed Analysis for Fairness-aware Causal Models
For example, in machine translation tasks, to achieve bidirectional tran...
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08/31/2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs
As the basic element of graph-structured data, node has been recognized ...
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08/20/2023
Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling
Coronary artery disease (CAD) is one of the primary causes leading to de...
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07/30/2023
HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation
In this paper, we study Text-to-3D content generation leveraging 2D diff...
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06/25/2023
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations
Despite significant progress having been made in question answering on t...
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05/31/2023
Towards Fair Disentangled Online Learning for Changing Environments
In the problem of online learning for changing environments, data are se...
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05/28/2023
Just a Glimpse: Rethinking Temporal Information for Video Continual Learning
Class-incremental learning is one of the most important settings for the...
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05/24/2023
Mixture of Prompt Experts for Generalizable and Interpretable Question Answering
One of the ultimate quests of question answering (QA) is to deploy a sys...
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05/23/2023
Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs
Large language models (LLMs) have achieved widespread success on a varie...
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05/21/2023
Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network
Coronary artery disease (CAD) is one of the primary causes leading death...
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05/04/2023
A new method using deep learning to predict the response to cardiac resynchronization therapy
Background. Clinical parameters measured from gated single-photon emissi...
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04/24/2023
Large-capacity and Flexible Video Steganography via Invertible Neural Network
Video steganography is the art of unobtrusively concealing secret data i...
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04/24/2023
Multi-crop Contrastive Learning for Unsupervised Image-to-Image Translation
Recently, image-to-image translation methods based on contrastive learni...
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04/22/2023
Spectral normalized dual contrastive regularization for image-to-image translation
Existing image-to-image(I2I) translation methods achieve state-of-the-ar...
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03/17/2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
The "pre-training → downstream adaptation" presents both new opportuniti...
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03/17/2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
Recently, conditional diffusion models have gained popularity in numerou...
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01/29/2023
A novel method using machine learning to integrate features from lung and epicardial adipose tissue for detecting the severity of COVID-19 infection
Objectives: To investigate the value of radiomics features of epicardial...
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01/11/2023
AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms
Semantic labeling of coronary arterial segments in invasive coronary ang...
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12/23/2022
xFBD: Focused Building Damage Dataset and Analysis
The xView2 competition and xBD dataset spurred significant advancements ...
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11/29/2022
Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation
We present a new method which provides object location priors for previo...
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11/25/2022
Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
Temporal action localization (TAL) requires long-form reasoning to predi...
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10/03/2022
Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads
Hip fracture risk assessment is an important but challenging task. Quant...
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10/03/2022
Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength
Background and aim: Hip fracture can be devastating. The proximal femora...
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09/27/2022
DCE: Offline Reinforcement Learning With Double Conservative Estimates
Offline Reinforcement Learning has attracted much interest in solving th...
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09/16/2022
On the Relation between Sensitivity and Accuracy in In-context Learning
In-context learning (ICL) suffers from oversensitivity to the prompt, wh...
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06/24/2022
Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms
Accurate extraction of coronary arteries from invasive coronary angiogra...
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06/10/2022
Active information, missing data and prevalence estimation
The topic of this paper is prevalence estimation from the perspective of...
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06/07/2022
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images
Background: The assessment of left ventricular (LV) function by myocardi...
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05/25/2022
Revisiting Calibration for Question Answering
Model calibration aims to adjust (calibrate) models' confidence so that ...
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05/20/2022
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments
The fairness-aware online learning framework has arisen as a powerful to...
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05/14/2022
ETAD: A Unified Framework for Efficient Temporal Action Detection
Untrimmed video understanding such as temporal action detection (TAD) of...
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03/27/2022
End-to-End Active Speaker Detection
Recent advances in the Active Speaker Detection (ASD) problem build upon...
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03/24/2022
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning
Class-Incremental Learning (CIL) struggles with catastrophic forgetting ...
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03/19/2022
Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction
Semantic 3D keypoints are category-level semantic consistent points on 3...
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03/16/2022
Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects
In this paper, we tackle the task of estimating the 3D orientation of pr...
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03/03/2022
SegTAD: Precise Temporal Action Detection via Semantic Segmentation
Temporal action detection (TAD) is an important yet challenging task in ...
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03/01/2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection
During the forward pass of Deep Neural Networks (DNNs), inputs gradually...
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02/10/2022
OWL (Observe, Watch, Listen): Localizing Actions in Egocentric Video via Audiovisual Temporal Context
Temporal action localization (TAL) is an important task extensively expl...
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12/01/2021
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions
The recent and increasing interest in video-language research has driven...
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10/25/2021
Fast estimation method for rank of a high-dimensional sparse matrix
Numerical computing the rank of a matrix is a fundamental problem in sci...
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10/11/2021
Spatial-temporal V-Net for automatic segmentation and quantification of right ventricles in gated myocardial perfusion SPECT images
Background. Functional assessment of right ventricles (RV) using gated m...
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10/10/2021
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation
Open-domain question answering answers a question based on evidence retr...
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10/06/2021
Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos
Automatic identification of proper image frames at the end-diastolic (ED...
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09/11/2021
What's in a Name? Answer Equivalence For Open-Domain Question Answering
A flaw in QA evaluation is that annotations often only provide one gold ...
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08/21/2021
Fairness-Aware Online Meta-learning
In contrast to offline working fashions, two research paradigms are devi...
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06/01/2021
A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI
Background. Studies have shown that the conventional left ventricular me...
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04/25/2021