research
∙
09/09/2023
Generalized Minimum Error with Fiducial Points Criterion for Robust Learning
The conventional Minimum Error Entropy criterion (MEE) has its limitatio...
share
research
∙
09/06/2023
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning
Patients undergoing chest X-rays (CXR) often endure multiple lung diseas...
research
∙
07/22/2023
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
To contribute to automating the medical vision-language model, we propos...
research
∙
02/19/2023
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning
Medical visual question answering (VQA) aims to answer clinically releva...
research
∙
02/03/2023
Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization
In this work, we aim at an important but less explored problem of a simp...
research
∙
11/03/2022
Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework
Spectral clustering is an effective methodology for unsupervised learnin...
research
∙
10/14/2022
See Blue Sky: Deep Image Dehaze Using Paired and Unpaired Training Images
The issue of image haze removal has attracted wide attention in recent y...
research
∙
09/17/2022
Few-Shot Classification with Contrastive Learning
A two-stage training paradigm consisting of sequential pre-training and ...
research
∙
08/13/2022
Memory Efficient Temporal Visual Graph Model for Unsupervised Video Domain Adaptation
Existing video domain adaption (DA) methods need to store all temporal c...
research
∙
08/05/2022
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
Image restoration algorithms such as super resolution (SR) are indispens...
research
∙
01/07/2022
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images
Image restoration algorithms such as super resolution (SR) are indispens...
research
∙
12/02/2021
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
The human gaze is a cost-efficient physiological data that reveals human...
research
∙
08/27/2021
Automated Generation of Accurate & Fluent Medical X-ray Reports
Our paper focuses on automating the generation of medical reports from c...
research
∙
07/02/2021
Cross-view Geo-localization with Evolving Transformer
In this work, we address the problem of cross-view geo-localization, whi...
research
∙
02/16/2021
Reciprocal Distance Transform Maps for Crowd Counting and People Localization in Dense Crowd
In this paper, we propose a novel map for dense crowd counting and peopl...
research
∙
11/18/2020
RustViz: Interactively Visualizing Ownership and Borrowing
Rust is a systems programming language that guarantees memory safety wit...
research
∙
11/09/2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degenera
Objective Reticular pseudodrusen (RPD), a key feature of age-related mac...
research
∙
07/19/2020
E^2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans
Developing an effective liver and liver tumor segmentation model from CT...
research
∙
07/14/2020
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model
Current deep learning based segmentation models often generalize poorly ...
research
∙
06/11/2020
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature
The latest threat to global health is the COVID-19 outbreak. Although th...
research
∙
05/22/2020
Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection
Calcified plaque in the aorta and pelvic arteries is associated with cor...
research
∙
04/12/2019
GeoCapsNet: Aerial to Ground view Image Geo-localization using Capsule Network
The task of cross-view image geo-localization aims to determine the geo-...
research
∙
08/01/2018
Attention-based Pyramid Aggregation Network for Visual Place Recognition
Visual place recognition is challenging in the urban environment and is ...
research
∙
03/13/2018
