Zhaoxiang Zhang

BMAD: Benchmarks for Medical Anomaly Detection

2024

Anomaly detection (AD) is a fundamental research problem in machine learning and computer vision, with practical applications in industrial inspection, video surveillance, and medical diagnosis. In the field of medical imaging, AD plays a crucial …

MIO: A Foundation Model on Multimodal Tokens

2024 · arXiv (Cornell University)

In this paper, we introduce MIO, a novel foundation model built on multimodal tokens, capable of understanding and generating speech, text, images, and videos in an end-to-end, autoregressive manner. While the emergence of large language …

Generating on Generated: An Approach Towards Self-Evolving Diffusion Models

2025 · arXiv (Cornell University)

Recursive Self-Improvement (RSI) enables intelligence systems to autonomously refine their capabilities. This paper explores the application of RSI in text-to-image diffusion models, addressing the challenge of training collapse caused by synthetic data. We identify two …