b'Jiebo Luo'

research

∙ 09/18/2023

Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets

Understanding the framing of political issues is of paramount importance...

0 Jinsheng Pan, et al. ∙

research

∙ 08/14/2023

Jurassic World Remake: Bringing Ancient Fossils Back to Life via Zero-Shot Long Image-to-Image Translation

With a strong understanding of the target domain from natural language, ...

0 Alexander Martin, et al. ∙

research

∙ 07/24/2023

LLM-Rec: Personalized Recommendation via Prompting Large Language Models

We investigate various prompting strategies for enhancing personalized r...

0 Hanjia Lyu, et al. ∙

research

∙ 06/26/2023

Domain-Scalable Unpaired Image Translation via Latent Space Anchoring

Unpaired image-to-image translation (UNIT) aims to map images between tw...

0 Siyu Huang, et al. ∙

research

∙ 06/05/2023

ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images

Structured text extraction is one of the most valuable and challenging a...

0 Wenwen Yu, et al. ∙

research

∙ 05/08/2023

Learning to Evaluate the Artness of AI-generated Images

Assessing the artness of AI-generated images continues to be a challenge...

0 Junyu Chen, et al. ∙

research

∙ 04/07/2023

Meta-causal Learning for Single Domain Generalization

Single domain generalization aims to learn a model from a single trainin...

0 Jin Chen, et al. ∙

research

∙ 03/28/2023

Bias or Diversity? Unraveling Semantic Discrepancy in U.S. News Headlines

There is a broad consensus that news media outlets incorporate ideologic...

0 Jinsheng Pan, et al. ∙

research

∙ 03/28/2023

Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning

Diagnosis of adverse neonatal outcomes is crucial for preterm survival s...

0 Jingyang Lin, et al. ∙

research

∙ 03/23/2023

Human Behavior in the Time of COVID-19: Learning from Big Data

Since the World Health Organization (WHO) characterized COVID-19 as a pa...

0 Hanjia Lyu, et al. ∙

research

∙ 03/21/2023

VideoXum: Cross-modal Visual and Textural Summarization of Videos

Video summarization aims to distill the most important information from ...

0 Jingyang Lin, et al. ∙

research

∙ 03/18/2023

Spatial-Aware Token for Weakly Supervised Object Localization

Weakly supervised object localization (WSOL) is a challenging task aimin...

0 Pingyu Wu, et al. ∙

research

∙ 03/18/2023

Grounding 3D Object Affordance from 2D Interactions in Images

Grounding 3D object affordance seeks to locate objects' ”action possibil...

0 Yuhang Yang, et al. ∙

research

∙ 03/15/2023

SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification

Recently, deep learning has produced encouraging results for kidney ston...

0 Wei Zhu, et al. ∙

research

∙ 02/02/2023

Adaptive Siamese Tracking with a Compact Latent Network

In this paper, we provide an intuitive viewing to simplify the Siamese-b...

0 Xingping Dong, et al. ∙

research

∙ 01/16/2023

Computational Assessment of Hyperpartisanship in News Titles

We first adopt a human-guided machine learning framework to develop a ne...

0 Hanjia Lyu, et al. ∙

research

∙ 12/20/2022

QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity

The mechanism of existing style transfer algorithms is by minimizing a h...

0 Siyu Huang, et al. ∙

research

∙ 12/17/2022

3D Point Cloud Pre-training with Knowledge Distillation from 2D Images

The recent success of pre-trained 2D vision models is mostly attributabl...

0 Yuan Yao, et al. ∙

research

∙ 12/13/2022

Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators

Structure-guided image completion aims to inpaint a local region of an i...

0 Haitian Zheng, et al. ∙

research

∙ 11/23/2022

Improving Visual-textual Sentiment Analysis by Fusing Expert Features

Visual-textual sentiment analysis aims to predict sentiment with the inp...

0 Junyu Chen, et al. ∙

research

∙ 11/16/2022

Stare at What You See: Masked Image Modeling without Reconstruction

Masked Autoencoders (MAE) have been prevailing paradigms for large-scale...

0 Hongwei Xue, et al. ∙

research

∙ 11/15/2022

PromptCap: Prompt-Guided Task-Aware Image Captioning

Image captioning aims to describe an image with a natural language sente...

10 Yushi Hu, et al. ∙

research

∙ 10/16/2022

TLDW: Extreme Multimodal Summarisation of News Videos

Multimodal summarisation with multimodal output is drawing increasing at...

0 Peggy Tang, et al. ∙

research

∙ 10/08/2022

Contextual Modeling for 3D Dense Captioning on Point Clouds

3D dense captioning, as an emerging vision-language task, aims to identi...

0 Yufeng Zhong, et al. ∙

research

∙ 09/29/2022

Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications

Causal inference and model interpretability research are gaining increas...

0 Junda Wang, et al. ∙

research

∙ 09/14/2022

CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment

The pre-trained image-text models, like CLIP, have demonstrated the stro...

0 Hongwei Xue, et al. ∙

research

∙ 09/11/2022

Doctors vs. Nurses: Understanding the Great Divide in Vaccine Hesitancy among Healthcare Workers

Healthcare workers such as doctors and nurses are expected to be trustwo...

0 Sajid Hussain Rafi Ahamed, et al. ∙

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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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 ...

0 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...

2 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...

7 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...

0 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...

0 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...

0 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...

0 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...

1 Jing Shi, et al. ∙

research

∙ 10/12/2021

Music Sentiment Transfer

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

0 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...

0 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...

6 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 ...

0 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...

0 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...

15 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...

0 Hongwei Xue, et al. ∙

Jiebo Luo

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