Sina Sajadmanesh — accepted AI-conference papers

2025

Argus: A Compact and Versatile Foundation Model for Vision

Weiming Zhuang, Chen Chen, Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Jiabo Huang +10

CVPR 2025poster

While existing vision and multi-modal foundation models can handle multiple computer vision tasks, they often suffer from significant limitations, including huge demand for data and computational resources during training and inconsistent performance across vision tasks at deployment time. To addres…

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2025

StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold

Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Lingjuan Lyu

NeurIPS 2025spotlight

Low-rank adaptation (LoRA) has been widely adopted as a parameter-efficient technique for fine-tuning large-scale pre-trained models. However, it still lags behind full fine-tuning in performance, partly due to its insufficient exploitation of the geometric structure underlying low-rank manifolds. I…

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