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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...
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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, ...
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07/24/2023
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
We investigate various prompting strategies for enhancing personalized r...
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06/26/2023
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring
Unpaired image-to-image translation (UNIT) aims to map images between tw...
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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...
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05/08/2023
Learning to Evaluate the Artness of AI-generated Images
Assessing the artness of AI-generated images continues to be a challenge...
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04/07/2023
Meta-causal Learning for Single Domain Generalization
Single domain generalization aims to learn a model from a single trainin...
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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...
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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...
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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...
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03/21/2023
VideoXum: Cross-modal Visual and Textural Summarization of Videos
Video summarization aims to distill the most important information from ...
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03/18/2023
Spatial-Aware Token for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) is a challenging task aimin...
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03/18/2023
Grounding 3D Object Affordance from 2D Interactions in Images
Grounding 3D object affordance seeks to locate objects' ”action possibil...
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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...
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02/02/2023
Adaptive Siamese Tracking with a Compact Latent Network
In this paper, we provide an intuitive viewing to simplify the Siamese-b...
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01/16/2023
Computational Assessment of Hyperpartisanship in News Titles
We first adopt a human-guided machine learning framework to develop a ne...
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12/20/2022
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity
The mechanism of existing style transfer algorithms is by minimizing a h...
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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...
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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...
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11/23/2022
Improving Visual-textual Sentiment Analysis by Fusing Expert Features
Visual-textual sentiment analysis aims to predict sentiment with the inp...
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11/16/2022
Stare at What You See: Masked Image Modeling without Reconstruction
Masked Autoencoders (MAE) have been prevailing paradigms for large-scale...
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11/15/2022
PromptCap: Prompt-Guided Task-Aware Image Captioning
Image captioning aims to describe an image with a natural language sente...
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10/16/2022
TLDW: Extreme Multimodal Summarisation of News Videos
Multimodal summarisation with multimodal output is drawing increasing at...
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10/08/2022
Contextual Modeling for 3D Dense Captioning on Point Clouds
3D dense captioning, as an emerging vision-language task, aims to identi...
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09/29/2022
Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications
Causal inference and model interpretability research are gaining increas...
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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...
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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...
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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...
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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...
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06/14/2022
Stand-Alone Inter-Frame Attention in Video Models
Motion, as the uniqueness of a video, has been critical to the developme...
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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...
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05/31/2022
Automatic Relation-aware Graph Network Proliferation
Graph neural architecture search has sparked much attention as Graph Neu...
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05/09/2022
Localized Adversarial Domain Generalization
Deep learning methods can struggle to handle domain shifts not seen in t...
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05/09/2022
Deep Federated Anomaly Detection for Multivariate Time Series Data
Despite the fact that many anomaly detection approaches have been develo...
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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...
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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 ...
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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...
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02/28/2022
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network
Graph Convolutional Network (GCN) plays pivotal roles in many real-world...
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02/21/2022
Point Cloud Denoising via Momentum Ascent in Gradient Fields
To achieve point cloud denoising, traditional methods heavily rely on ge...
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02/20/2022
MANet: Improving Video Denoising with a Multi-Alignment Network
In video denoising, the adjacent frames often provide very useful inform...
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01/18/2022
Cross-modal Contrastive Distillation for Instructional Activity Anticipation
In this study, we aim to predict the plausible future action steps given...
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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...
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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...
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10/12/2021
Music Sentiment Transfer
Music sentiment transfer is a completely novel task. Sentiment transfer ...
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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...
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09/30/2021
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation
Some cognitive research has discovered that humans accomplish event segm...
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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 ...
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09/15/2021
Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis
Visual sentiment analysis has received increasing attention in recent ye...
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09/15/2021
Federated Learning of Molecular Properties in a Heterogeneous Setting
Chemistry research has both high material and computational costs to con...
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09/06/2021
