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cs.CV2026

GeoRoPE: Ground-Aware Rotary Adaptation for Remote Sensing Foundation Models

Yu Luo, Kun Hu, Mengwei He +7

Remote-sensing foundation models (RSFMs) benefit from pretraining on imagery from multiple sensors and ground sampling distances (GSDs), but such exposure alone does not resolve sc…

cs.CV2026

SRENet: Spectral Re-Entry Network for Point Cloud Action Recognition

Qiuxia Wu, Jiarui Lan, Wenxiong Kang +2

Recognizing human actions from point cloud sequences is critical for 3D perception driven applications such as autonomous driving and human-computer interaction. However, the irreg…

cs.CV2026

PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction

Yu Luo, Xiaogang Zhu, Shan Zeng +4

Accurate crop yield prediction is crucial for sustainable agriculture and global food security. While existing methods are predominantly developed for single-crop prediction, they…

cs.CV2025

Motion Keyframe Interpolation for Any Human Skeleton via Temporally Consistent Point Cloud Sampling and Reconstruction

Clinton Mo, Kun Hu, Chengjiang Long +2

In the character animation field, modern supervised keyframe interpolation models have demonstrated exceptional performance in constructing natural human motions from sparse pose d…

cs.CV2024

Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation

Zhuqiang Lu, Kun Hu, Chaoyue Wang +2

A 360-degree (omni-directional) image provides an all-encompassing spherical view of a scene. Recently, there has been an increasing interest in synthesising 360-degree images from…

cs.CV2024

Deep Learning Techniques for In-Crop Weed Identification: A Review

Kun Hu, Zhiyong Wang, Guy Coleman +6

Weeds are a significant threat to the agricultural productivity and the environment. The increasing demand for sustainable agriculture has driven innovations in accurate weed contr…