activity
20222024
most citedUN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images

9 citations · 17 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2024

MTFinEval:A Multi-domain Chinese Financial Benchmark with Eurypalynous questions

Xinyu Liu, Ke Jin

With the emergence of more and more economy-specific LLMS, how to measure whether they can be safely invested in production becomes a problem. Previous research has primarily focus…

eess.IV20241 cited

DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation

Xinyu Liu, Wuyang Li, Yixuan Yuan

Semi-supervised medical image segmentation aims to leverage limited annotated data and rich unlabeled data to perform accurate segmentation. However, existing semi-supervised metho…

eess.IV20249 cited

UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images

Zhen Chen, Qing Xu, Xinyu Liu +1

In digital pathology, precise nuclei segmentation is pivotal yet challenged by the diversity of tissue types, staining protocols, and imaging conditions. Recently, the segment anyt…

cs.CV20237 cited

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT

Zhenxiang Xiao, Yuzhong Chen, Lu Zhang +14

Prompts have been proven to play a crucial role in large language models, and in recent years, vision models have also been using prompts to improve scalability for multiple downst…

cs.CV2023

Delving into Shape-aware Zero-shot Semantic Segmentation

Xinyu Liu, Beiwen Tian, Zhen Wang +5

Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a su…

cs.CV2023

ADAPT: Action-aware Driving Caption Transformer

Bu Jin, Xinyu Liu, Yupeng Zheng +6

End-to-end autonomous driving has great potential in the transportation industry. However, the lack of transparency and interpretability of the automatic decision-making process hi…