Identifying and Reporting Dependent Adult abuse

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering

Medical visual question answering (MedVQA) plays a vital role in clinical decision-making by providing contextually rich answers to image-based queries. Although vision-language models (VLMs) are widely used for this task, they often generate factually incorrect answers. Retrieval-augmented generation addresses this challenge by providing information from external sources, but risks retrieving i...

Learning Efficient Robotic Garment Manipulation with Standardization

Garment manipulation is a significant challenge for robots due to the complex dynamics and potential self-occlusion of garments. Most existing methods of efficient garment unfolding overlook the crucial role of standardization of flattened garments, which could significantly simplify downstream tasks like folding, ironing, and packing. This paper presents APS-Net, a novel approach to garment man...

LIGHT: Multi-Modal Text Linking on Historical Maps

Text on historical maps provides valuable information for studies in history, economics, geography, and other related fields. Unlike structured or s...

FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection

Few-shot industrial anomaly detection (FS-IAD) presents a critical challenge for practical automated inspection systems operating in data-scarce env...

A Sampling-Based Adaptive Rank Approach to the Wigner-Poisson System

We develop a mass-conserving, adaptive-rank solver for the 1D1V Wigner-Poisson system. Our work is motivated by applications to the study of the sto...

Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges

Estimating single-cell responses across various perturbations facilitates the identification of key genes and enhances drug screening, significantly...

EVA02-AT: Egocentric Video-Language Understanding with Spatial-Temporal Rotary Positional Embeddings and Symmetric Optimization

Egocentric video-language understanding demands both high efficiency and accurate spatial-temporal modeling. Existing approaches face three key chal...

Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments

Conducting disparity assessments at regular time intervals is critical for surfacing potential biases in decision-making and improving outcomes acro...

Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval

Patent images are technical drawings that convey information about a patent's innovation. Patent image retrieval systems aim to search in vast colle...

DMAF-Net: An Effective Modality Rebalancing Framework for Incomplete Multi-Modal Medical Image Segmentation

Incomplete multi-modal medical image segmentation faces critical challenges from modality imbalance, including imbalanced modality missing rates and...

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation

Medical images are usually collected from multiple domains, leading to domain shifts that impair the performance of medical image segmentation model...

AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant T2I Adversarial Patches

Cutting-edge works have demonstrated that text-to-image (T2I) diffusion models can generate adversarial patches that mislead state-of-the-art object...

Using Machine Learning to Fast-Track Peptide Nanomaterial Discovery.

Peptides can serve as building blocks for supramolecular materials because of their unique ability to self-assemble, offering potential applications i...

PhysiInter: Integrating Physical Mapping for High-Fidelity Human Interaction Generation

Driven by advancements in motion capture and generative artificial intelligence, leveraging large-scale MoCap datasets to train generative models fo...

MedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Models

The integration of deep learning-based glaucoma detection with large language models (LLMs) presents an automated strategy to mitigate ophthalmologi...

A Cramér-von Mises Approach to Incentivizing Truthful Data Sharing

Modern data marketplaces and data sharing consortia increasingly rely on incentive mechanisms to encourage agents to contribute data. However, schem...

Multimodal Spatial Language Maps for Robot Navigation and Manipulation

Grounding language to a navigating agent's observations can leverage pretrained multimodal foundation models to match perceptions to object or event...

CoMemo: LVLMs Need Image Context with Image Memory

Recent advancements in Large Vision-Language Models built upon Large Language Models have established aligning visual features with LLM representati...

Bidirectional Image-Event Guided Low-Light Image Enhancement

Under extreme low-light conditions, traditional frame-based cameras, due to their limited dynamic range and temporal resolution, face detail loss an...

Into the Unknown: From Structure to Disorder in Protein Function Prediction

Intrinsically disordered regions (IDRs) account for one-third of the human proteome and play essential biological roles. However, predicting the fun...