activity
20222026
most citedSTU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training

52 citations · 158 across the 24 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.AI2025

Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows

Wanghan Xu, Yuhao Zhou, Yifan Zhou +104

Despite advances in scientific AI, a coherent framework for Scientific General Intelligence (SGI)-the ability to autonomously conceive, investigate, and reason across scientific do…

cs.CV2025

HGFreNet: Hop-hybrid GraphFomer for 3D Human Pose Estimation with Trajectory Consistency in Frequency Domain

Kai Zhai, Ziyan Huang, Qiang Nie +2

2D-to-3D human pose lifting is a fundamental challenge for 3D human pose estimation in monocular video, where graph convolutional networks (GCNs) and attention mechanisms have prov…

cs.CV2025

Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data

Qi Chen, Xinze Zhou, Chen Liu +11

AI for tumor segmentation is limited by the lack of large, voxel-wise annotated datasets, which are hard to create and require medical experts. In our proprietary JHH dataset of 3,…

cs.CV2025

UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis

Junzhi Ning, Wei Li, Cheng Tang +24

Medical workflows routinely combine reading images with producing visual and textual outputs, making both image understanding and generation central to medical AI. Most existing sy…

cs.CV2025

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision

Huihui Xu, Jin Ye, Hongqiu Wang +10

Recent self-supervised image segmentation models have achieved promising performance on semantic segmentation and class-agnostic instance segmentation. However, their pretraining s…

cs.CV2025

Taming the Tri-Space Tension: ARC-Guided Hallucination Modeling and Control for Text-to-Image Generation

Jianjiang Yang, Ziyan Huang, Yanshu li +2

Despite remarkable progress in image quality and prompt fidelity, text-to-image (T2I) diffusion models continue to exhibit persistent "hallucinations", where generated content subt…

cs.CV2025

Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis

Zhongying Deng, Haoyu Wang, Ziyan Huang +6

Brain diseases, such as Alzheimer's disease and brain tumors, present profound challenges due to their complexity and societal impact. Recent advancements in brain foundation model…