b'Jiebo Luo'

research

∙ 07/26/2022

Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones

Medication for neurological diseases such as the Parkinson's disease usu...

Weijian Li, et al. ∙

research

∙ 06/21/2022

Bi-Calibration Networks for Weakly-Supervised Video Representation Learning

The leverage of large volumes of web videos paired with the searched que...

Fuchen Long, et al. ∙

research

∙ 06/14/2022

Stand-Alone Inter-Frame Attention in Video Models

Motion, as the uniqueness of a video, has been critical to the developme...

Fuchen Long, et al. ∙

research

∙ 06/12/2022

Fine-tuning Pre-trained Language Models with Noise Stability Regularization

The advent of large-scale pre-trained language models has contributed gr...

Hang Hua, et al. ∙

research

∙ 05/31/2022

Automatic Relation-aware Graph Network Proliferation

Graph neural architecture search has sparked much attention as Graph Neu...

Shaofei Cai, et al. ∙

research

∙ 05/09/2022

Localized Adversarial Domain Generalization

Deep learning methods can struggle to handle domain shifts not seen in t...

Wei Zhu, et al. ∙

research

∙ 05/09/2022

Deep Federated Anomaly Detection for Multivariate Time Series Data

Despite the fact that many anomaly detection approaches have been develo...

Wei Zhu, et al. ∙

research

∙ 03/22/2022

CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training

Recent image inpainting methods have made great progress but often strug...

Haitian Zheng, et al. ∙

research

∙ 03/20/2022

Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders

Objective and Impact Statement. We adopt a deep learning model for bone ...

Wei Xiong, et al. ∙

research

∙ 03/12/2022

Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning

Non-exemplar class-incremental learning is to recognize both the old and...

Kai Zhu, et al. ∙

research

∙ 02/28/2022

RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network

Graph Convolutional Network (GCN) plays pivotal roles in many real-world...

Jian Kang, et al. ∙

research

∙ 02/21/2022

Point Cloud Denoising via Momentum Ascent in Gradient Fields

To achieve point cloud denoising, traditional methods heavily rely on ge...

Yaping Zhao, et al. ∙

research

∙ 02/20/2022

MANet: Improving Video Denoising with a Multi-Alignment Network

In video denoising, the adjacent frames often provide very useful inform...

Yaping Zhao, et al. ∙

research

∙ 01/18/2022

Cross-modal Contrastive Distillation for Instructional Activity Anticipation

In this study, we aim to predict the plausible future action steps given...

Zhengyuan Yang, et al. ∙

research

∙ 12/21/2021

Distribution-aware Margin Calibration for Semantic Segmentation in Images

The Jaccard index, also known as Intersection-over-Union (IoU), is one o...

Litao Yu, et al. ∙

research

∙ 11/30/2021

SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing

Recently, large pretrained models (e.g., BERT, StyleGAN, CLIP) have show...

Jing Shi, et al. ∙

research

∙ 10/12/2021

Music Sentiment Transfer

Music sentiment transfer is a completely novel task. Sentiment transfer ...

Miles Sigel, et al. ∙

research

∙ 10/05/2021

Procedure Planning in Instructional Videosvia Contextual Modeling and Model-based Policy Learning

Learning new skills by observing humans' behaviors is an essential capab...

Jing Bi, et al. ∙

research

∙ 09/30/2021

CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation

Some cognitive research has discovered that humans accomplish event segm...

Xiao Wang, et al. ∙

research

∙ 09/16/2021

Social Disparities in Oral Health in America amid the COVID-19 Pandemic

We conduct a large-scale social media-based study of oral health during ...

Yangxin Fan, et al. ∙

research

∙ 09/15/2021

Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis

Visual sentiment analysis has received increasing attention in recent ye...

Wei Zhu, et al. ∙

research

∙ 09/15/2021

Federated Learning of Molecular Properties in a Heterogeneous Setting

Chemistry research has both high material and computational costs to con...

Wei Zhu, et al. ∙

research

∙ 09/06/2021

Learning Fine-Grained Motion Embedding for Landscape Animation

In this paper we focus on landscape animation, which aims to generate ti...

Hongwei Xue, et al. ∙

research

∙ 08/30/2021

LUAI Challenge 2021 on Learning to Understand Aerial Images

This report summarizes the results of Learning to Understand Aerial Imag...

Gui-Song Xia, et al. ∙

research

∙ 08/26/2021

Multi-Modulation Network for Audio-Visual Event Localization

We study the problem of localizing audio-visual events that are both aud...

Hao Wang, et al. ∙

research

∙ 08/18/2021

Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment

An important scenario for image quality assessment (IQA) is to evaluate ...

Heliang Zheng, et al. ∙

research

∙ 08/12/2021

UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing

Recent research has witnessed advances in facial image editing tasks inc...

Meng Cao, et al. ∙

research

∙ 08/11/2021

Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization

Deep learning algorithms mine knowledge from the training data and thus ...

Wei Zhu, et al. ∙

research

∙ 07/26/2021

Boosting Entity-aware Image Captioning with Multi-modal Knowledge Graph

Entity-aware image captioning aims to describe named entities and events...

Wentian Zhao, et al. ∙

research

∙ 07/25/2021

Adaptive Recursive Circle Framework for Fine-grained Action Recognition

How to model fine-grained spatial-temporal dynamics in videos has been a...

Hanxi Lin, et al. ∙

research

∙ 07/10/2021

Noise Stability Regularization for Improving BERT Fine-tuning

Fine-tuning pre-trained language models such as BERT has become a common...

Hang Hua, et al. ∙

research

∙ 06/25/2021

Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training

Vision-Language Pre-training (VLP) aims to learn multi-modal representat...

Hongwei Xue, et al. ∙

research

∙ 06/18/2021

How COVID-19 Has Changed Crowdfunding: Evidence From GoFundMe

While the long-term effects of COVID-19 are yet to be determined, its im...

Junda Wang, et al. ∙

research

∙ 04/09/2021

Video-aided Unsupervised Grammar Induction

We investigate video-aided grammar induction, which learns a constituenc...

Linfeng Song, et al. ∙

research

∙ 04/07/2021

Facial Attribute Transformers for Precise and Robust Makeup Transfer

In this paper, we address the problem of makeup transfer, which aims at ...

Zhaoyi Wan, et al. ∙

research

∙ 04/04/2021

What Kind of Person Wins the Turing Award?

Computer science has grown rapidly since its inception in the 1950s and ...

Zhongkai Shangguan, et al. ∙

research

∙ 03/31/2021

ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows

Universal style transfer retains styles from reference images in content...

Jie An, et al. ∙

research

∙ 03/29/2021

Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval

Cross-modal video-text retrieval, a challenging task in the field of vis...

Rui Zhao, et al. ∙

research

∙ 03/26/2021

Few-Shot Learning for Video Object Detection in a Transfer-Learning Scheme

Different from static images, videos contain additional temporal and spa...

Zhongjie Yu, et al. ∙

research

∙ 03/23/2021

Group-aware Label Transfer for Domain Adaptive Person Re-identification

Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims ...

Kecheng Zheng, et al. ∙

research

∙ 03/14/2021

From Static to Dynamic Prediction: Wildfire Risk Assessment Based on Multiple Environmental Factors

Wildfire is one of the biggest disasters that frequently occurs on the w...

Tanqiu Jiang, et al. ∙

research

∙ 03/05/2021

Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning

In aspect-based sentiment analysis (ABSA), many neural models are equipp...

Jinsong Su, et al. ∙

research

∙ 02/24/2021

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

In the past decade, object detection has achieved significant progress i...

Jian Ding, et al. ∙

research

∙ 01/23/2021

Are Top School Students More Critical of Their Professors? Mining Comments on RateMyProfessor.com

Student reviews and comments on RateMyProfessor.com reflect realistic le...

Ziqi Tang, et al. ∙

research

∙ 01/14/2021

DAIL: Dataset-Aware and Invariant Learning for Face Recognition

To achieve good performance in face recognition, a large scale training ...

Gaoang Wang, et al. ∙

research

∙ 12/14/2020

Semantic Layout Manipulation with High-Resolution Sparse Attention

We tackle the problem of semantic image layout manipulation, which aims ...

Haitian Zheng, et al. ∙

research

∙ 12/08/2020

TAP: Text-Aware Pre-training for Text-VQA and Text-Caption

In this paper, we propose Text-Aware Pre-training (TAP) for Text-VQA and...

Zhengyuan Yang, et al. ∙

research

∙ 12/04/2020

Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language

We address the problem of retrieving a specific moment from an untrimmed...

Houwen Peng, et al. ∙

research

∙ 12/04/2020

XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors

A radiograph visualizes the internal anatomy of a patient through the us...

Cheng Peng, et al. ∙

research

∙ 11/17/2020

Slender Object Detection: Diagnoses and Improvements

In this paper, we are concerned with the detection of a particular type ...

Zhaoyi Wan, et al. ∙

Jiebo Luo

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