Work Force

ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation

Transformers, particularly Vision Transformers (ViTs), have achieved state-of-the-art performance in large-scale image classification. However, they often require large amounts of data and can exhibit biases that limit their robustness and generalizability. This paper introduces ForAug, a novel data augmentation scheme that addresses these challenges and explicitly includes inductive biases, whi...

Synthetic Data Generation of Body Motion Data by Neural Gas Network for Emotion Recognition

In the domain of emotion recognition using body motion, the primary challenge lies in the scarcity of diverse and generalizable datasets. Automatic emotion recognition uses machine learning and artificial intelligence techniques to recognize a person's emotional state from various data types, such as text, images, sound, and body motion. Body motion poses unique challenges as many factors, such ...

Is Limited Participant Diversity Impeding EEG-based Machine Learning?

The application of machine learning (ML) to electroencephalography (EEG) has great potential to advance both neuroscientific research and clinical a...

Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis

The success of multi-modal large language models (MLLMs) has been largely attributed to the large-scale training data. However, the training data of...

Convergence Dynamics and Stabilization Strategies of Co-Evolving Generative Models

The increasing prevalence of synthetic data in training loops has raised concerns about model collapse, where generative models degrade when trained...

Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia

Southeast Asia (SEA) is a region of extraordinary linguistic and cultural diversity, yet it remains significantly underrepresented in vision-languag...

Think Before You Segment: High-Quality Reasoning Segmentation with GPT Chain of Thoughts

Reasoning segmentation is a challenging vision-language task that aims to output the segmentation mask with respect to a complex, implicit, and even...

Process-Supervised LLM Recommenders via Flow-guided Tuning

While large language models (LLMs) are increasingly adapted for recommendation systems via supervised fine-tuning (SFT), this approach amplifies pop...

AnomalyPainter: Vision-Language-Diffusion Synergy for Zero-Shot Realistic and Diverse Industrial Anomaly Synthesis

While existing anomaly synthesis methods have made remarkable progress, achieving both realism and diversity in synthesis remains a major obstacle. ...

Se-HiLo: Noise-Resilient Semantic Communication with High-and-Low Frequency Decomposition

Semantic communication has emerged as a transformative paradigm in next-generation communication systems, leveraging advanced artificial intelligenc...

Chameleon: On the Scene Diversity and Domain Variety of AI-Generated Videos Detection

Artificial intelligence generated content (AIGC), known as DeepFakes, has emerged as a growing concern because it is being utilized as a tool for sp...

MatchMaker: Automated Asset Generation for Robotic Assembly

Robotic assembly remains a significant challenge due to complexities in visual perception, functional grasping, contact-rich manipulation, and perfo...

AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data

Recent advances in generative models have sparked research on improving model fairness with AI-generated data. However, existing methods often face ...

CACTUS: An Open Dataset and Framework for Automated Cardiac Assessment and Classification of Ultrasound Images Using Deep Transfer Learning

Cardiac ultrasound (US) scanning is a commonly used techniques in cardiology to diagnose the health of the heart and its proper functioning. Therefo...

Development and Enhancement of Text-to-Image Diffusion Models

This research focuses on the development and enhancement of text-to-image denoising diffusion models, addressing key challenges such as limited samp...

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

Tumor segmentation plays a critical role in histopathology, but it requires costly, fine-grained image-mask pairs annotated by pathologists. Thus, s...

Enhancing Collective Intelligence in Large Language Models Through Emotional Integration

This research investigates the integration of emotional diversity into Large Language Models (LLMs) to enhance collective intelligence. Inspired by ...

LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant

First-person video assistants are highly anticipated to enhance our daily lives through online video dialogue. However, existing online video assist...

Increase Docking Score Screening Power by Simple Fusion With CNNscore.

Scoring functions (SFs) of molecular docking is a vital component of structure-based virtual screening (SBVS). Traditional SFs yield their inherent sh...

LangGas: Introducing Language in Selective Zero-Shot Background Subtraction for Semi-Transparent Gas Leak Detection with a New Dataset

Gas leakage poses a significant hazard that requires prevention. Traditionally, human inspection has been used for detection, a slow and labour-inte...