Yuetong Wang — accepted AI-conference papers

2026

GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection

Xiang Li, Wenxi Li, Yuetong Wang, Chenyang Lyu, Haozhe Lin, Guiguang Ding +1

AAAI 2026technical

Object detection in High-Resolution Wide (HRW) shots, or gigapixel images, presents unique challenges due to extreme object sparsity and vast scale variations. State-of-the-art methods like SparseFormer have pioneered sparse processing by selectively focusing on important regions, yet they apply a u

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2025

Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond

Tengyu Ma, Long Ma, Ziye Li, Yuetong Wang, Jinyuan Liu, Chengpei Xu +1

CVPR 2025poster

Recently, enhancing image quality in the original RAW domain has garnered significant attention, with denoising and reconstruction emerging as fundamental tasks. Although some works attempt to couple these tasks, they primarily focus on cascade learning while neglecting task associativity within a b…

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