Jiajun Dong — accepted AI-conference papers

2026

MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification

Jiahao Xu, Sheng Huang, Xin Zhang, Zhixiong Nan, Jiajun Dong, Nankun Mu

CVPR 2026

In computational pathology, few-shot whole slide image classification is primarily driven by the extreme scarcity of expert-labeled slides. Recent vision-language methods incorporate textual semantics generated by large language models, but treat these descriptions as static class-level priors that

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2025

Learning to traverse challenging terrain using vision and forward kinematics

Jiajun Dong, Yanbin Xu, Chao Ren, Chaoxu Mu, Feng Dong

IROS 2025

In this letter, we propose a new method for visual locomotion controller in quadruped robots, aimed at enhancing their capability to traverse challenging terrain. Our approach integrates computer vision techniques with robust locomotion control to improve terrain traversal. To facilitate terrain per

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