Los-mamba: A low-rank recursive mamba framework for mitigating stationary bias in trajectory prediction

Yang Cui; Dong Guo; Lirui Liu; Yi Han

doi:10.1007/s44443-026-00579-9

Citations

416

Views

Abstract not available for this publication.

Cite this Article (APA)

Yang, C., Dong, G., Lirui, L., Yi, H. (2026). Los-mamba: A low-rank recursive mamba framework for mitigating stationary bias in trajectory prediction. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1007/s44443-026-00579-9

Zhizhong Xing; Leping Li; Ying Yang; Wei Zhou; Guolan Ma; Shaochun Chen; Lechun · 2026

cites

458

DDM-YOLO: A lightweight oriented detection model for mature daylily fruits in complex environments

Minqiu Kuang; Xuejie Zou; Fangping Xie; Xiaojian Li; Shang Chen; Dawei Liu; Yuxu · 2026

cites

458

Information guided Levy flight for robot search in unknown environments

Weitao Zhao; Zati Hakim Azizul; Xin Lyu; Weijie Kuang · 2026

cites

434

SemCap: Sentiment-aware semantic captioning for multimodal aspect-based sentiment analysis