Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Real-world robot manipulation in dynamic unstructured environments requires lifelong adaptability to evolving objects, scenes and tasks. Traditional imitation learning relies on static training paradigms, which are ill-suited for lifelong adaptation. Although Continual Imitation Learnin (CIL) enables incremental task adaptation while preserving learned knowledge, current CIL methods primarily ov...
The rapid advancements in AI, scientific computing, and high-performance computing (HPC) have driven the need for versatile and efficient hardware accelerators. Existing tools like SCALE-Sim v2 provide valuable cycle-accurate simulations for systolic-array-based architectures but fall short in supporting key modern features such as sparsity, multi-core scalability, and comprehensive memory analy...
The proliferation of Internet of Things (IoT) devices has expanded the attack surface, necessitating efficient intrusion detection systems (IDSs) fo...
The widespread adoption of large artificial intelligence (AI) models has enabled numerous applications of the Internet of Things (IoT). However, lar...
Current approaches to chemical map generation from hyperspectral images are based on models such as partial least squares (PLS) regression, generati...
Next-token prediction is the fundamental principle for training large language models (LLMs), and reinforcement learning (RL) further enhances their...
Next-token prediction is the fundamental principle for training large language models (LLMs), and reinforcement learning (RL) further enhances their...
Menisci are cartilaginous tissue found within the knee that contribute to joint lubrication and weight dispersal. Damage to menisci can lead to onse...
Industrial Anomaly Detection (IAD) poses a formidable challenge due to the scarcity of defective samples, making it imperative to deploy models capa...
Aerial manipulation has recently attracted increasing interest from both industry and academia. Previous approaches have demonstrated success in var...
Most previous scene text spotting methods rely on high-quality manual annotations to achieve promising performance. To reduce their expensive costs,...
Single domain generalization (SDG) has recently attracted growing attention in medical image segmentation. One promising strategy for SDG is to leve...
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...