research
∙
04/18/2023
Token Imbalance Adaptation for Radiology Report Generation
Imbalanced token distributions naturally exist in text documents, leadin...
share
research
∙
10/14/2022
Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement Assessment
General movement assessment (GMA) of infant movement videos (IMVs) is an...
research
∙
07/27/2022
End-to-end Graph-constrained Vectorized Floorplan Generation with Panoptic Refinement
The automatic generation of floorplans given user inputs has great poten...
research
∙
06/30/2022
Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans
Accurate infarct segmentation in non-contrast CT (NCCT) images is a cruc...
research
∙
05/26/2022
Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification
Class imbalance naturally exists when train and test models in different...
research
∙
04/15/2022
Learning to Adapt Domain Shifts of Moral Values via Instance Weighting
Classifying moral values in user-generated text from social media is cri...
research
∙
04/12/2022
Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification
Existing approaches to mitigate demographic biases evaluate on monolingu...
research
∙
03/22/2022
PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo
We present a novel framework named PlaneMVS for 3D plane reconstruction ...
research
∙
03/20/2022
Enriching Unsupervised User Embedding via Medical Concepts
Clinical notes in Electronic Health Records (EHR) present rich documente...
research
∙
02/10/2022
Experimental Augmented Reality User Experience
Augmented Reality (AR) is an emerging field ripe for experimentation, es...
research
∙
12/03/2021
Deep Depth from Focus with Differential Focus Volume
Depth-from-focus (DFF) is a technique that infers depth using the focus ...
research
∙
11/10/2021
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification
Histopathological analysis is the present gold standard for precancerous...
research
∙
11/10/2021
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis
Generative models have been applied in the medical imaging domain for va...
research
∙
09/24/2021
DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning
In an emergency room (ER) setting, the diagnosis of stroke is a common c...
research
∙
07/09/2021
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives
In many applications of computer graphics, art and design, it is desirab...
research
∙
04/19/2021
Epsilon Consistent Mixup: An Adaptive Consistency-Interpolation Tradeoff
In this paper we propose ϵ-Consistent Mixup (ϵmu). ϵmu is a data-based s...
research
∙
02/22/2021
User Factor Adaptation for User Embedding via Multitask Learning
Language varies across users and their interested fields in social media...
research
∙
08/26/2020
Synthetic Sample Selection via Reinforcement Learning
Synthesizing realistic medical images provides a feasible solution to th...
research
∙
07/16/2020
SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos
General movement assessment (GMA) of infant movement videos (IMVs) is an...
research
∙
02/24/2020
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition
Existing research on fairness evaluation of document classification mode...
research
∙
12/09/2019
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
In this work, we propose to resolve the issue existing in current deep l...
research
∙
12/09/2019
Learning Structure-Appearance Joint Embedding for Indoor Scene Image Synthesis
Advanced image synthesis methods can generate photo-realistic images for...
research
∙
12/09/2019
Selective Synthetic Augmentation with Quality Assurance
Supervised training of an automated medical image analysis system often ...
research
∙
09/09/2019
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis
Building named entity recognition (NER) models for languages that do not...
research
∙
07/24/2019
Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification
Cervical intraepithelial neoplasia (CIN) grade of histopathology images ...
research
∙
09/17/2018
Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue
Objective: Ultrahigh-resolution optical coherence microscopy (OCM) has r...
research
∙
11/28/2017
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
In this paper, we propose an Attentional Generative Adversarial Network ...
research
∙
10/19/2017
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Although Generative Adversarial Networks (GANs) have shown remarkable su...
research
∙
06/06/2017
SegAN: Adversarial Network with Multi-scale L_1 Loss for Medical Image Segmentation
Inspired by classic generative adversarial networks (GAN), we propose a ...
research
∙
12/10/2016
