COVID-19

Motion-Aware Adaptive Pixel Pruning for Efficient Local Motion Deblurring

Local motion blur in digital images originates from the relative motion between dynamic objects and static imaging systems during exposure. Existing deblurring methods face significant challenges in addressing this problem due to their inefficient allocation of computational resources and inadequate handling of spatially varying blur patterns. To overcome these limitations, we first propose a tr...

FiDTouch: A 3D Wearable Haptic Display for the Finger Pad

The applications of fingertip haptic devices have spread to various fields from revolutionizing virtual reality and medical training simulations to facilitating remote robotic operations, proposing great potential for enhancing user experiences, improving training outcomes, and new forms of interaction. In this work, we present FiDTouch, a 3D wearable haptic device that delivers cutaneous stimul...

HOTA: Hierarchical Overlap-Tiling Aggregation for Large-Area 3D Flood Mapping

Floods are among the most frequent natural hazards and cause significant social and economic damage. Timely, large-scale information on flood extent...

Towards Evaluating Robustness of Prompt Adherence in Text to Image Models

The advancements in the domain of LLMs in recent years have surprised many, showcasing their remarkable capabilities and diverse applications. Their...

Machine-Learned Force Fields for Lattice Dynamics at Coupled-Cluster Level Accuracy

We investigate Machine-Learned Force Fields (MLFFs) trained on approximate Density Functional Theory (DFT) and Coupled Cluster (CC) level potential ...

Steps Adaptive Decay DPSGD: Enhancing Performance on Imbalanced Datasets with Differential Privacy with HAM10000

When applying machine learning to medical image classification, data leakage is a critical issue. Previous methods, such as adding noise to gradient...

Mask6D: Masked Pose Priors For 6D Object Pose Estimation

Robust 6D object pose estimation in cluttered or occluded conditions using monocular RGB images remains a challenging task. One reason is that curre...

Expanding biobank pharmacogenomics through machine learning calls of structural variation.

Biobanks linking genetic data with clinical health records provide exciting opportunities for pharmacogenomic (PGx) research on genetic variation and ...

TigAug: Data Augmentation for Testing Traffic Light Detection in Autonomous Driving Systems

Autonomous vehicle technology has been developed in the last decades with recent advances in sensing and computing technology. There is an urgent ne...

Hear-Your-Click: Interactive Video-to-Audio Generation via Object-aware Contrastive Audio-Visual Fine-tuning

Video-to-audio (V2A) generation shows great potential in fields such as film production. Despite significant advances, current V2A methods, which re...

Spatial and Semantic Embedding Integration for Stereo Sound Event Localization and Detection in Regular Videos

This report presents our systems submitted to the audio-only and audio-visual tracks of the DCASE2025 Task 3 Challenge: Stereo Sound Event Localizat...

CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steering

Personalized text generation has become crucial for adapting language models to diverse and evolving users' personal context across cultural, tempor...

QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation

Existing text-to-image models often rely on parameter fine-tuning techniques such as Low-Rank Adaptation (LoRA) to customize visual attributes. Howe...

Deep learning analyses of splicing variants identify the link of PCP4 with amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is a severe motor neuron disease, with most sporadic cases lacking clear genetic causes. Abnormal pre-mRNA splicin...

AIoptamer: Artificial Intelligence-Driven Aptamer Optimization Pipeline for Targeted Therapeutics in Healthcare.

Aptamers are short, single-stranded DNA or RNA molecules known for their high specificity and affinity toward target biomolecules, making them powerfu...

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images

COVID-19 is a severe and acute viral disease that can cause symptoms consistent with pneumonia in which inflammation is caused in the alveolous regi...

NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World Models

Birds' Eye View (BEV) semantic segmentation is an indispensable perception task in end-to-end autonomous driving systems. Unsupervised and semi-supe...

Accelerating mechanistic model calibration in protein chromatography using artificial neural networks.

In the manufacturing of therapeutic monoclonal antibodies (mAbs), mechanistic models can aid the evaluation and selection of suitable chromatography o...

Leveraging infrared spectroscopy for cocoa content prediction: A dual approach with Kohonen neural network and multivariate modeling.

People of all ages enjoy chocolate, and its popularity is attributed to its pleasant taste and aroma, as well as its associated health benefits. Produ...

3D PixBrush: Image-Guided Local Texture Synthesis

We present 3D PixBrush, a method for performing image-driven edits of local regions on 3D meshes. 3D PixBrush predicts a localization mask and a syn...