43 citations · 52 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 43 cited
Ferret: Refer and Ground Anything Anywhere at Any Granularity
Haoxuan You, Haotian Zhang, Zhe Gan +6
We introduce Ferret, a new Multimodal Large Language Model (MLLM) capable of understanding spatial referring of any shape or granularity within an image and accurately grounding op…
cs.CV2023★ 8 cited
MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Qiuhui Chen, Xinyue Hu, Zirui Wang +1
Vision-language pre-training (VLP) models have been demonstrated to be effective in many computer vision applications. In this paper, we consider developing a VLP model in the medi…
eess.IV2021★ 1 cited
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
Meirui Jiang, Zirui Wang, Qi Dou
Multiple medical institutions collaboratively training a model using federated learning (FL) has become a promising solution for maximizing the potential of data-driven models, yet…