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20232025
most citedMamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

88 citations · 102 across the 10 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025

A Conditional Generative Framework for Synthetic Data Augmentation in Segmenting Thin and Elongated Structures in Biological Images

Yi Liu, Yichi Zhang

Thin and elongated filamentous structures, such as microtubules and actin filaments, often play important roles in biological systems. Segmenting these filaments in biological imag…

cs.LG2025

Variational Masked Diffusion Models

Yichi Zhang, Alex Schwing, Zhizhen Zhao

Masked diffusion models have recently emerged as a flexible framework for discrete generative modeling. However, a key limitation of standard masked diffusion is its inability to e…

cs.CV2025

Unsupervised Defect Detection for Surgical Instruments

Joseph Huang, Yichi Zhang, Jingxi Yu +6

Ensuring the safety of surgical instruments requires reliable detection of visual defects. However, manual inspection is prone to error, and existing automated defect detection met…

cs.CV2025

Hierarchical Rectified Flow Matching with Mini-Batch Couplings

Yichi Zhang, Yici Yan, Alex Schwing +1

Flow matching has emerged as a compelling generative modeling approach that is widely used across domains. To generate data via a flow matching model, an ordinary differential equa…

cs.CV2025

Efficient Implicit Neural Compression of Point Clouds via Learnable Activation in Latent Space

Yichi Zhang, Qianqian Yang

Implicit Neural Representations (INRs), also known as neural fields, have emerged as a powerful paradigm in deep learning, parameterizing continuous spatial fields using coordinate…

cs.LG2025

Towards Hierarchical Rectified Flow

Yichi Zhang, Yici Yan, Alex Schwing +1

We formulate a hierarchical rectified flow to model data distributions. It hierarchically couples multiple ordinary differential equations (ODEs) and defines a time-differentiable…