Weiping Ni — accepted AI-conference papers

2026

Reasoning via Implicit Self-supervised Emergence for Instruction Segmentation

Qing Zhou, Lichang Yang, Yuyu Jia, Junyu Gao, Weiping Ni, Junzheng Wu +1

AAAI 2026technical

We challenge the assumption that complex instruction-guided segmentation tasks necessitate equally complex and explicit supervision. This paper introduces RISE (Reasoning via Implicit Self-supervised Emergence), a framework that learns intricate compositional reasoning, spanning spatial relations to

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2025

FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection

Ke Li, Di Wang, Zhangyuan Hu, Shaofeng Li, Weiping Ni, Lin Zhao +1

AAAI 2025technical

Infrared-visible object detection (IVOD) seeks to harness the complementary information in infrared and visible images, thereby enhancing the performance of detectors in complex environments. However, existing methods often neglect the frequency characteristics of complementary information, such as…

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