While videoconferencing is prevalent, concurrent participation channels ...
3D single object tracking with LiDAR points is an important task in the
...
The foundation models based on pre-training technology have significantl...
Although conversational AIs have demonstrated fantastic performance, the...
Unfolding can tackle the path-explosion problem caused by concurrency.
T...
Hyperspectral images are typically composed of hundreds of narrow and
co...
Hyperspectral Image (HSI)s cover hundreds or thousands of narrow spectra...
Efficient automatic segmentation of multi-level (i.e. main and branch)
p...
Learning inter-image similarity is crucial for 3D medical images
self-su...
Autonomous drone racing is becoming an excellent platform to challenge
q...
The finite-state model checking of software is still limited by the noto...
Although weakly-supervised techniques can reduce the labeling effort, it...
Automated detecting lung infections from computed tomography (CT) data p...
Although deep salient object detection (SOD) has achieved remarkable
pro...
Implicit neural representations have shown promising potential for the 3...
This paper concerns estimation and inference for treatment effects in de...
Text response generation for multimodal task-oriented dialog systems, wh...
Reliable automatic classification of colonoscopy images is of great
sign...
The morphological changes in knee cartilage (especially femoral and tibi...
An effective backbone network is important to deep learning-based Deform...
Neoadjuvant therapy (NAT) for breast cancer is a common treatment option...
Anomaly detection is essential for preventing hazardous outcomes for
saf...
The nature of thick-slice scanning causes severe inter-slice discontinui...
Accurately detecting and tracking multi-objects is important for
safety-...
Simultaneous segmentation and detection of liver tumors (hemangioma and
...
Dialogue summarization has been extensively studied and applied, where t...
Renal compartment segmentation on CT images targets on extracting the 3D...
Optimizing resource allocation for analytical workloads is vital for red...
Decision makers involved in the management of civil assets and systems
u...
3D complete renal structures(CRS) segmentation targets on segmenting the...
The Cobb angle that quantitatively evaluates the spinal curvature plays ...
A key challenge for deploying deep neural networks (DNNs) in safety crit...
Deep learning-based medical image registration and segmentation joint mo...
Agile control of mobile manipulator is challenging because of the high
c...
Automated medical report generation in spine radiology, i.e., given spin...
Three-dimensional late gadolinium enhanced (LGE) cardiac MR (CMR) of lef...
Optimal control holds great potential to improve a variety of robotic
ap...
This paper proposes a framework for safe reinforcement learning that can...
Multi-view echocardiographic sequences segmentation is crucial for clini...
The quantification of the coronary artery stenosis is of significant cli...
In this paper, we present a learning approach to goal assignment and
tra...
Drone racing is becoming a popular e-sport all over the world, and beati...
Automated quantitative measurement of the spine (i.e., multiple indices
...
Motion scoring of cardiac myocardium is of paramount importance for earl...
3D left ventricle (LV) segmentation on echocardiography is very importan...
Accurate detection of the myocardial infarction (MI) area is crucial for...
Cardiac left ventricle (LV) quantification is among the most clinically
...
Volume calculation from the Computed Tomography (CT) lung lesions data i...
Accurate estimation of regional wall thicknesses (RWT) of left ventricul...
Cardiac indices estimation is of great importance during identification ...