most citedMePT: Multi-Representation Guided Prompt Tuning for Vision-Language Model

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

Histology Virtual Staining with Mask-Guided Adversarial Transfer Learning for Tertiary Lymphoid Structure Detection

Qiuli Wang, Yongxu Liu, Li Ma +3

Histological Tertiary Lymphoid Structures (TLSs) are increasingly recognized for their correlation with the efficacy of immunotherapy in various solid tumors. Traditionally, the id…

cs.CV20241 cited

MePT: Multi-Representation Guided Prompt Tuning for Vision-Language Model

Xinyang Wang, Yi Yang, Minfeng Zhu +3

Recent advancements in pre-trained Vision-Language Models (VLMs) have highlighted the significant potential of prompt tuning for adapting these models to a wide range of downstream…

cs.CV20241 cited

Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs

Shi Liu, Kecheng Zheng, Wei Chen

Existing Large Vision-Language Models (LVLMs) primarily align image features of vision encoder with Large Language Models (LLMs) to leverage their superior text generation capabili…

physics.optics20241 cited

Time-resolved optical assessment of exciton formation in mixed two-dimensional perovskite films

Zheng Zhang, Jianan Wang, Yijie Shi +7

We report the observation of exciton formation from the cooled band-edge carriers in mixed two-dimensional hybrid organic-inorganic perovskites using femtosecond transient absorpti…

cs.CV2024

DreamLIP: Language-Image Pre-training with Long Captions

Kecheng Zheng, Yifei Zhang, Wei Wu +5

Language-image pre-training largely relies on how precisely and thoroughly a text describes its paired image. In practice, however, the contents of an image can be so rich that wel…