Prescriptions

COMO: Cross-Mamba Interaction and Offset-Guided Fusion for Multimodal Object Detection

Single-modal object detection tasks often experience performance degradation when encountering diverse scenarios. In contrast, multimodal object detection tasks can offer more comprehensive information about object features by integrating data from various modalities. Current multimodal object detection methods generally use various fusion techniques, including conventional neural networks and t...

Personalized Large Vision-Language Models

The personalization model has gained significant attention in image generation yet remains underexplored for large vision-language models (LVLMs). Beyond generic ones, with personalization, LVLMs handle interactive dialogues using referential concepts (e.g., ``Mike and Susan are talking.'') instead of the generic form (e.g., ``a boy and a girl are talking.''), making the conversation more custom...

NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors

With the advancement of deep learning, object detectors (ODs) with various architectures have achieved significant success in complex scenarios like...

Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization

This study introduces an adaptive user interface generation technology, emphasizing the role of Human-Computer Interaction (HCI) in optimizing user ...

Distilling Large Language Models for Efficient Clinical Information Extraction

Large language models (LLMs) excel at clinical information extraction but their computational demands limit practical deployment. Knowledge distilla...

Interact with me: Joint Egocentric Forecasting of Intent to Interact, Attitude and Social Actions

For efficient human-agent interaction, an agent should proactively recognize their target user and prepare for upcoming interactions. We formulate t...

Optimal dosing of anti-cancer treatment under drug-induced plasticity

While cancer has traditionally been considered a genetic disease, mounting evidence indicates an important role for non-genetic (epigenetic) mechani...

LeviTor: 3D Trajectory Oriented Image-to-Video Synthesis

The intuitive nature of drag-based interaction has led to its growing adoption for controlling object trajectories in image-to-video synthesis. Stil...

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements

Many inverse problems are ill-posed and need to be complemented by prior information that restricts the class of admissible models. Bayesian approac...

Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders

This study presents a novel approach for intelligent user interaction interface generation and optimization, grounded in the variational autoencoder...

A Unifying Information-theoretic Perspective on Evaluating Generative Models

Considering the difficulty of interpreting generative model output, there is significant current research focused on determining meaningful evaluati...

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation

Anatomical abnormality detection and report generation of chest X-ray (CXR) are two essential tasks in clinical practice. The former aims at localiz...

Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction

There is a growing trend toward AI systems interacting with humans to revolutionize a range of application domains such as healthcare and transporta...

ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction

The emergence of diffusion models has significantly advanced image synthesis. The recent studies of model interaction and self-corrective reasoning ...

Generics are puzzling. Can language models find the missing piece?

Generic sentences express generalisations about the world without explicit quantification. Although generics are central to everyday communication, ...

Decoding Drug Discovery: Exploring A-to-Z In silico Methods for Beginners

The drug development process is a critical challenge in the pharmaceutical industry due to its time-consuming nature and the need to discover new dr...

Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature

Section identification is an important task for library science, especially knowledge management. Identifying the sections of a paper would help fil...

Labeling NIDS Rules with MITRE ATT&CK Techniques: Machine Learning vs. Large Language Models

Analysts in Security Operations Centers (SOCs) are often occupied with time-consuming investigations of alerts from Network Intrusion Detection Syst...

Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm

To break through the limitations of pre-training models on fixed categories, Open-Set Object Detection (OSOD) and Open-Set Segmentation (OSS) have a...

BrushEdit: All-In-One Image Inpainting and Editing

Image editing has advanced significantly with the development of diffusion models using both inversion-based and instruction-based methods. However,...