80 citations · 102 across the 16 of their papers we have counts for
16 papers
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…
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…
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…
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…
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…
Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance
Zexin Hu, Kun Hu, Clinton Mo +2
Sketch-based terrain generation seeks to create realistic landscapes for virtual environments in various applications such as computer games, animation and virtual reality. Recentl…
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms
Penghui Wen, Kun Hu, Wenxi Yue +3
Robust audio anti-spoofing has been increasingly challenging due to the recent advancements on deepfake techniques. While spectrograms have demonstrated their capability for anti-s…
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation
Wenxi Yue, Jing Zhang, Kun Hu +3
The Segment Anything Model (SAM) is a powerful foundation model that has revolutionised image segmentation. To apply SAM to surgical instrument segmentation, a common approach is t…
Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation
Clinton Ansun Mo, Kun Hu, Chengjiang Long +1
Deriving sophisticated 3D motions from sparse keyframes is a particularly challenging problem, due to continuity and exceptionally skeletal precision. The action features are often…
Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase
Lintao Wang, Kun Hu, Lei Bai +3
Synthesizing controllable motion for a character using deep learning has been a promising approach due to its potential to learn a compact model without laborious feature engineeri…
Robust Knowledge Adaptation for Federated Unsupervised Person ReID
Jianfeng Weng, Kun Hu, Tingting Yao +2
Person Re-identification (ReID) has been extensively studied in recent years due to the increasing demand in public security. However, collecting and dealing with sensitive persona…
TLDW: Extreme Multimodal Summarisation of News Videos
Peggy Tang, Kun Hu, Lei Zhang +2
Multimodal summarisation with multimodal output is drawing increasing attention due to the rapid growth of multimedia data. While several methods have been proposed to summarise vi…
Multi-level Adversarial Spatio-temporal Learning for Footstep Pressure based FoG Detection
Kun Hu, Shaohui Mei, Wei Wang +5
Freezing of gait (FoG) is one of the most common symptoms of Parkinson's disease, which is a neurodegenerative disorder of the central nervous system impacting millions of people a…
OTExtSum: Extractive Text Summarisation with Optimal Transport
Peggy Tang, Kun Hu, Rui Yan +3
Extractive text summarisation aims to select salient sentences from a document to form a short yet informative summary. While learning-based methods have achieved promising results…
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network
Jichao Kan, Kun Hu, Markus Hagenbuchner +3
Sign language translation (SLT), which generates text in a spoken language from visual content in a sign language, is important to assist the hard-of-hearing community for their co…
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…