The Euler Elastica (EE) model with surface curvature can generate
artifa...
MRI super-resolution (SR) and denoising tasks are fundamental challenges...
Fabricating and designing 3D garments has become extremely demanding wit...
Stochastic sequential quadratic optimization (SQP) methods for solving
c...
The concept of GenAI has been developed for decades. Until recently, it ...
Music accompaniment generation is a crucial aspect in the composition
pr...
Autism spectrum disorder (ASD) is a prevalent psychiatric condition
char...
Deep neural networks rely on parallel processors for acceleration. To de...
Challenges drive the state-of-the-art of automated medical image analysi...
Training visual reinforcement learning (RL) models in offline datasets i...
Large Language Models (LLMs) have demonstrated exceptional performance i...
Java is very powerful, but in Deep Learning field, its capabilities prob...
Localizing root causes for multi-dimensional data is critical to ensure
...
Multi-modal Magnetic Resonance Imaging (MRI) plays an important role in
...
A stochastic-gradient-based interior-point algorithm for minimizing a
co...
Deep learning models have become increasingly popular for flood predicti...
In this paper, the authors propose a new approach to solving the groundw...
Learning based single image super resolution (SISR) task is well investi...
Video retrieval is becoming increasingly important owing to the rapid
em...
Unmanned Aerial Vehicles (UAVs) are widely used and meet many demands in...
We derive a thermodynamically consistent, non-isothermal, hydrodynamic m...
Word-level textual adversarial attacks have achieved striking performanc...
Graph Neural Networks (GNNs) have shown satisfying performance on variou...
Downsampling and feature extraction are essential procedures for 3D poin...
Contour-based instance segmentation methods include one-stage and multi-...
Irregular-shaped texts bring challenges to Scene Text Detection (STD).
A...
To pursue comprehensive performance, recent text detectors improve detec...
In actual industrial production, the assessment of the steel plate weldi...
Trajectory prediction and behavioral decision-making are two important t...
Gradient coding schemes effectively mitigate full stragglers in distribu...
Visual question answering (VQA) for remote sensing scene has great poten...
The fixed length Levenshtein (FLL) distance between two words 𝐱,𝐲∈ℤ_m^n ...
Pedestrian counting is a fundamental tool for understanding pedestrian
p...
We develop a deep learning approach to predicting a set of ventilator
pa...
We present two accelerated numerical algorithms for single-component and...
For the next generation of mobile communications systems, the integratio...
Generating 3D city models rapidly is crucial for many applications. Mono...
The rapid progress of photorealistic synthesis techniques has reached a
...
Let n=2m. In the present paper, we study the binomial Boolean functions ...
Existing gradient coding schemes introduce identical redundancy across t...
We present a novel computational modeling framework to numerically
inves...
Non-overlapping codes are a set of codewords in ⋃_n ≥ 2ℤ_q^n, where ℤ_q ...
The underwater acoustic channel is one of the most challenging communica...
Crowd counting on the drone platform is an interesting topic in computer...
Maximum distance separable (MDS) codes are very important in both theory...
Hyperspectral image (HSI) clustering, which aims at dividing hyperspectr...
In this paper, we focus on the unsupervised multi-view feature selection...
Existing object detection-based text detectors mainly concentrate on
det...
Graph-based semi-supervised learning methods, which deal well with the
s...
Natural disasters can significantly disrupt human mobility in urban area...