Moran Liu — accepted AI-conference papers

2026

ElasticFormer: Detecting Objects in HRW Shots via Elastic Computing Vision Transformer

Wenxi Li, Jingchen Huang, Chenyang Lyu, Moran Liu, Haozhe Lin, Guiguang Ding +1

CVPR 2026

Recent advances in gigapixel-level imaging have brought High-Resolution Wide shots to the forefront of research. However, these images present significant challenges: extreme sparsity of foreground, gigapixel-level resolutions and diverse target counts. This makes traditional close-up detectors inac

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2026

ThinFormer: Channel Sparse Transformer for Efficient HRW Object Detection

Wenxi Li, Kunpeng Liu, Moran Liu, Shuyang Liu, Chenyang Lyu, Haozhe Lin +1

IJCAI 2026

Object detection in high-resolution wide (HRW) shots presents unique challenges due to the extreme sparsity of objects and the variability in sparsity ratios across images. Conventional detectors, designed for close-up settings like MS COCO, struggle to generalize to these scenarios, leading to inef

Cited by 0 Scholar ↗