Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Front-end engineering involves a complex workflow where engineers conceptualize designs, translate...
Gesture recognition presents a promising avenue for interfacing with unmanned aerial vehicles (UAV...
To encode point clouds containing both geometry and attributes, most learning-based compression sc...
We tackle the problem of monocular-to-stereo video conversion and propose a novel architecture for...
With recent breakthroughs in large-scale modeling, the Segment Anything Model (SAM) has demonstrat...
Integer quantization has emerged as a critical technique to facilitate deployment on resource-cons...
End-to-end (E2E) autonomous driving systems offer a promising alternative to traditional modular p...
Data engineering pipelines are essential - albeit costly - components of predictive analytics fram...
This paper introduces a comprehensive end-to-end pipeline for Optical Character Recognition (OCR) ...
Existing vision tokenization isolates the optimization of vision tokenizers from downstream traini...
Clinical event extraction is crucial for structuring medical data, supporting clinical decision-maki...
Fabric defect detection confronts two fundamental challenges. First, conventional non-maximum supp...
Humanoid loco-manipulation holds transformative potential for daily service and industrial tasks, ...
We introduce M$^3$CAD, a novel benchmark designed to advance research in generic cooperative auton...
Human drivers exhibit individual preferences regarding driving style. Adapting autonomous vehicles...
Text recognition in natural images remains a challenging yet essential task, with broad applicatio...
Lensless imaging stands out as a promising alternative to conventional lens-based systems, particu...
The proliferation of end devices has led to a distributed computing paradigm, wherein on-device ma...
The incidence of TB in Taiwan declined by 62% from 2005 to 2023 (i.e., from 73/100,000 to 28/100,000...
Agentic systems built on large language models (LLMs) offer promising capabilities for automating ...
Due to the black-box characteristics of deep learning based semantic encoders and decoders, findin...