Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Most previous scene text spotting methods rely on high-quality manual annotations to achieve promising performance. To reduce their expensive costs, we study semi-supervised text spotting (SSTS) to exploit useful information from unlabeled images. However, directly applying existing semi-supervised methods of general scenes to SSTS will face new challenges: 1) inconsistent pseudo labels between ...
Single domain generalization (SDG) has recently attracted growing attention in medical image segmentation. One promising strategy for SDG is to leverage consistent semantic shape priors across different imaging protocols, scanner vendors, and clinical sites. However, existing dictionary learning methods that encode shape priors often suffer from limited representational power with a small set of...
Reliable localization is critical for robot navigation in complex indoor environments. In this paper, we propose an uncertainty-aware localization m...
This study presents a vision-guided robotic control system for automated fruit tree pruning applications. Traditional agricultural practices rely on...
3D human digitization has long been a highly pursued yet challenging task. Existing methods aim to generate high-quality 3D digital humans from sing...
Differentially Private (DP) generative marginal models are often used in the wild to release synthetic tabular datasets in lieu of sensitive data wh...
Reconstructing 3D assets from images, known as inverse rendering (IR), remains a challenging task due to its ill-posed nature. 3D Gaussian Splatting...
Computed tomography (CT) examination poses radiation injury to patient. A consensus performing CT imaging is to make the radiation dose as low as re...
Loco-manipulation -- coordinated locomotion and physical interaction with objects -- remains a major challenge for legged robots due to the need for...
Product posters, which integrate subject, scene, and text, are crucial promotional tools for attracting customers. Creating such posters using moder...
Scalable Vector Graphics (SVG) is an important image format widely adopted in graphic design because of their resolution independence and editabilit...
Building precise simulations of the real world and invoking numerical solvers to answer quantitative problems is an essential requirement in enginee...
Despite the span in estimating pain from facial expressions, limited works have focused on estimating the sequence-level pain, which is reported by ...
Large-scale coreference resolution presents a significant challenge in natural language processing, necessitating a balance between efficiency and a...
Objective: Zero-shot methodology promises to cut down on costs of dataset annotation and domain expertise needed to make use of NLP. Generative larg...
We propose an end-to-end trainable, cross-category method for reconstructing multiple man-made articulated objects from a single RGBD image, focusin...
Accurate and real-time three-dimensional (3D) pose estimation is challenging in resource-constrained and dynamic environments owing to its high comp...
Image retargeting aims to change the aspect-ratio of an image while maintaining its content and structure with less visual artifacts. Existing metho...
Objective: Traditional phone-based surveys are among the most accessible and widely used methods to collect biomedical and healthcare data, however,...
End-to-end autonomous driving has achieved remarkable progress by integrating perception, prediction, and planning into a fully differentiable frame...