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20192026
most citedEvery Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction

11 citations · 41 across the 18 of their papers we have counts for

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cs.CV2023

Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation

Yongsheng Mei, Guru Venkataramani, Tian Lan

Learning with multiple modalities is crucial for automated brain tumor segmentation from magnetic resonance imaging data. Explicitly optimizing the common information shared among…

cs.CV2021★ 5 cited

PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer

Hanhan Zhou, Tian Lan, Guru Venkataramani

The virtual try-on system has gained great attention due to its potential to give customers a realistic, personalized product presentation in virtualized settings. In this paper, w…