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Hongyu Ke

2 accepted papers

2026

Deformba: Vision State Space Model with Adaptive State Fusion

ICML 2026poster

State Space Models (SSMs) have emerged as a powerful and efficient alternative to Transformers, demonstrating linear-time complexity and exceptional sequence modeling capabilities. However, their application to vision tasks remains challenging. First, existing vision SSMs largely depend on manually …

Cited by 0SourceScholar
2025

MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations

ICLR 2025poster

3D visual perception tasks, such as 3D detection from multi-camera images, are essential components of autonomous driving and assistance systems. However, designing computationally efficient methods remains a significant challenge. In this paper, we propose a Mamba-based framework called MamBEV, whi…