activity
20212026
most citedDeep Learning for Computational Cytology: A Survey

130 citations · 134 across the 15 of their papers we have counts for

collaborators
Showing 2025Show all

8 papers · 1 filter

cs.CV2025

OmniX: From Unified Panoramic Generation and Perception to Graphics-Ready 3D Scenes

Yukun Huang, Jiwen Yu, Yanning Zhou +4

There are two prevalent ways for automatic 3D scene construction: procedural generation and 2D lifting. Among these, panorama-based 2D lifting has emerged as a promising technique,…

cs.GR2025

CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling

Yuze He, Yanning Zhou, Wang Zhao +6

We present CHARM, a novel parametric representation and generative framework for anime hairstyle modeling. While traditional hair modeling methods focus on realistic hair using str…

cs.GR2025

DreamCube: 3D Panorama Generation via Multi-plane Synchronization

Yukun Huang, Yanning Zhou, Jianan Wang +2

3D panorama synthesis is a promising yet challenging task that demands high-quality and diverse visual appearance and geometry of the generated omnidirectional content. Existing me…

cs.CV2025

Segment Anything in Pathology Images with Natural Language

Zhixuan Chen, Junlin Hou, Liqi Lin +6

Pathology image segmentation is crucial in computational pathology for analyzing histological features relevant to cancer diagnosis and prognosis. However, current methods face maj…

cs.GR2025

PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer

Jingwen Ye, Yuze He, Yanning Zhou +5

Shape primitive abstraction, which decomposes complex 3D shapes into simple geometric elements, plays a crucial role in human visual cognition and has broad applications in compute…

cs.CV2025

FlexIP: Dynamic Control of Preservation and Personality for Customized Image Generation

Linyan Huang, Haonan Lin, Yanning Zhou +1

With the rapid advancement of 2D generative models, preserving subject identity while enabling diverse editing has emerged as a critical research focus. Existing methods typically…

eess.IV2025

FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition

Linshan Wu, Jiaxin Zhuang, Yanning Zhou +12

Tumor is a leading cause of death worldwide, with an estimated 10 million deaths attributed to tumor-related diseases every year. AI-driven tumor recognition unlocks new possibilit…

q-bio.QM2025★ 1 cited

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation

Hao Jiang, Cheng Jin, Huangjing Lin +15

Cervical cancer is a leading malignancy in female reproductive system. While AI-assisted cytology offers a cost-effective and non-invasive screening solution, current systems strug…