b'Chen Zhao'

research

∙ 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...

0 Haoliang Wang, et al. ∙

research

∙ 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...

0 Kristoffer Larsen, et al. ∙

research

∙ 09/08/2023

Toward Sufficient Spatial-Frequency Interaction for Gradient-aware Underwater Image Enhancement

Underwater images suffer from complex and diverse degradation, which ine...

0 Chen Zhao, et al. ∙

research

∙ 08/31/2023

Adaptation Speed Analysis for Fairness-aware Causal Models

For example, in machine translation tasks, to achieve bidirectional tran...

0 Yujie Lin, et al. ∙

research

∙ 08/31/2023

Contrastive Representation Learning Based on Multiple Node-centered Subgraphs

As the basic element of graph-structured data, node has been recognized ...

0 Dong Li, et al. ∙

research

∙ 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...

0 Chen Zhao, et al. ∙

research

∙ 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...

0 Jinbo Wu, et al. ∙

research

∙ 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...

0 Yilun Zhao, et al. ∙

research

∙ 05/31/2023

Towards Fair Disentangled Online Learning for Changing Environments

In the problem of online learning for changing environments, data are se...

0 Chen Zhao, et al. ∙

research

∙ 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...

0 Lama Alssum, et al. ∙

research

∙ 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...

0 Chenglei Si, et al. ∙

research

∙ 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...

5 Angelica Chen, et al. ∙

research

∙ 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...

0 Chen Zhao, et al. ∙

research

∙ 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...

0 Kristoffer Larsena, et al. ∙

research

∙ 04/24/2023

Large-capacity and Flexible Video Steganography via Invertible Neural Network

Video steganography is the art of unobtrusively concealing secret data i...

0 Chong Mou, et al. ∙

research

∙ 04/24/2023

Multi-crop Contrastive Learning for Unsupervised Image-to-Image Translation

Recently, image-to-image translation methods based on contrastive learni...

0 Chen Zhao, et al. ∙

research

∙ 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...

0 Chen Zhao, et al. ∙

research

∙ 03/17/2023

A Unified Continual Learning Framework with General Parameter-Efficient Tuning

The "pre-training → downstream adaptation" presents both new opportuniti...

0 Qiankun Gao, et al. ∙

research

∙ 03/17/2023

FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model

Recently, conditional diffusion models have gained popularity in numerou...

0 Jiwen Yu, et al. ∙

research

∙ 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...

0 Ni Yao, et al. ∙

research

∙ 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...

0 Chen Zhao, et al. ∙

research

∙ 12/23/2022

xFBD: Focused Building Damage Dataset and Analysis

The xView2 competition and xBD dataset spurred significant advancements ...

0 Dennis Melamed, et al. ∙

research

∙ 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...

0 Chen Zhao, et al. ∙

research

∙ 11/25/2022

Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization

Temporal action localization (TAL) requires long-form reasoning to predi...

0 Chen Zhao, et al. ∙

research

∙ 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...

5 Xuewei Cao, et al. ∙

research

∙ 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...

17 Chen Zhao, et al. ∙

research

∙ 09/27/2022

DCE: Offline Reinforcement Learning With Double Conservative Estimates

Offline Reinforcement Learning has attracted much interest in solving th...

5 Chen Zhao, et al. ∙

research

∙ 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...

5 Yanda Chen, et al. ∙

research

∙ 06/24/2022

Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms

Accurate extraction of coronary arteries from invasive coronary angiogra...

13 Yinghui Meng, et al. ∙

research

∙ 06/10/2022

Active information, missing data and prevalence estimation

The topic of this paper is prevalence estimation from the perspective of...

0 Ola Hössjer, et al. ∙

research

∙ 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...

9 Fubao Zhu, et al. ∙

research

∙ 05/25/2022

Revisiting Calibration for Question Answering

Model calibration aims to adjust (calibrate) models' confidence so that ...

2 Chenglei Si, et al. ∙

research

∙ 05/20/2022

Adaptive Fairness-Aware Online Meta-Learning for Changing Environments

The fairness-aware online learning framework has arisen as a powerful to...

5 Chen Zhao, et al. ∙

research

∙ 05/14/2022

ETAD: A Unified Framework for Efficient Temporal Action Detection

Untrimmed video understanding such as temporal action detection (TAD) of...

4 Shuming Liu, et al. ∙

research

∙ 03/27/2022

End-to-End Active Speaker Detection

Recent advances in the Active Speaker Detection (ASD) problem build upon...

5 Juan Leon Alcazar, et al. ∙

research

∙ 03/24/2022

R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning

Class-Incremental Learning (CIL) struggles with catastrophic forgetting ...

1 Qiankun Gao, et al. ∙

research

∙ 03/19/2022

Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction

Semantic 3D keypoints are category-level semantic consistent points on 3...

4 Haocheng Yuan, et al. ∙

research

∙ 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...

7 Chen Zhao, et al. ∙

research

∙ 03/03/2022

SegTAD: Precise Temporal Action Detection via Semantic Segmentation

Temporal action detection (TAD) is an important yet challenging task in ...

2 Chen Zhao, et al. ∙

research

∙ 03/01/2022

Layer Adaptive Deep Neural Networks for Out-of-distribution Detection

During the forward pass of Deep Neural Networks (DNNs), inputs gradually...

11 Haoliang Wang, et al. ∙

research

∙ 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...

7 Merey Ramazanova, et al. ∙

research

∙ 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...

0 Mattia Soldan, et al. ∙

research

∙ 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...

0 Chen Zhao, et al. ∙

research

∙ 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...

8 Chen Zhao, et al. ∙

research

∙ 10/10/2021

Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation

Open-domain question answering answers a question based on evidence retr...

0 Chen Zhao, et al. ∙

research

∙ 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...

0 Yinghui Meng, et al. ∙

research

∙ 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 ...

0 Chenglei Si, et al. ∙

research

∙ 08/21/2021

Fairness-Aware Online Meta-learning

In contrast to offline working fashions, two research paradigms are devi...

0 Chen Zhao, et al. ∙

research

∙ 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...

0 Zhuo He, et al. ∙

research

∙ 04/25/2021

FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework

With the proliferation of edge smart devices and the Internet of Vehicle...

15 Chen Zhao, et al. ∙

Chen Zhao

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