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20212026
most citedPath sampling of recurrent neural networks by incorporating known physics

36 citations · 156 across the 25 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

LCG: Long-Context Consistent Image Generation with Sparse Relational Attention

Zihao Wang, Yijia Xu, Haoze Zheng +3

Recent image generation models achieve impressive quality in single-image synthesis, but often fail to maintain consistency across sequential outputs, as required in comics, storyb…

cs.CV2026

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation

Yijia Xu, Zihao Wang, Haokun Gui +1

Multi-subject image generation aims to synthesize images that faithfully preserve the identities of multiple reference subjects while following textual instructions. However, exist…

cs.CV2026

An Efficient Additive Kolmogorov-Arnold Transformer for Point-Level Maize Localization in Unmanned Aerial Vehicle Imagery

Fei Li, Lang Qiao, Jiahao Fan +3

High-resolution UAV photogrammetry has become a key technology for precision agriculture, enabling centimeter-level crop monitoring and point-level plant localization. However, poi…

cs.CV2025

Direction-Aware Diagonal Autoregressive Image Generation

Yijia Xu, Jianzhong Ju, Jian Luan +1

The raster-ordered image token sequence exhibits a significant Euclidean distance between index-adjacent tokens at line breaks, making it unsuitable for autoregressive generation.…

cs.CV2023★ 1 cited

Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and Segmentation

Yijia Xu, Liqiang Zhang, Wuming Zhang +5

Road network extraction from satellite images is widely applicated in intelligent traffic management and autonomous driving fields. The high-resolution remote sensing images contai…

cs.CV2023★ 1 cited

Learning county from pixels: corn yield prediction with attention-weighted multiple instance learning

Xiaoyu Wang, Yuchi Ma, Qunying Huang +2

Remote sensing technology has become a promising tool in yield prediction. Most prior work employs satellite imagery for county-level corn yield prediction by spatially aggregating…