3 citations · 6 across the 4 of their papers we have counts for
5 papers
Federated Subspace Guided Vision-Language-Action Policy Distillation for Non-IID Multi-Robot Manipulation
Biprodip Pal, Kaushik Roy, Yanming Zhu +3
Federated learning offers a natural way for multiple robots to jointly improve manipulation policies without requiring centralized access to training demonstrations. However, non-I…
`Attention-Guided Cross-Temporal Clustering for Self-Supervised Video Object Segmentation
Waqas Arshid, Mohammad Awrangjeb, Alan Wee-Chung Liew +1
Video object segmentation (VOS) is a fundamental task in video understanding, requiring accurate delineation and consistent tracking of objects across frames. While supervised meth…
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification
Judy X Yang, Jun Zhou, Jing Wang +2
The fusion of hyperspectral and LiDAR data has been an active research topic. Existing fusion methods have ignored the high-dimensionality and redundancy challenges in hyperspectra…
Unsupervised Band Selection Using Fused HSI and LiDAR Attention Integrating With Autoencoder
Judy X Yang, Jun Zhou, Jing Wang +2
Band selection in hyperspectral imaging (HSI) is critical for optimising data processing and enhancing analytical accuracy. Traditional approaches have predominantly concentrated o…
HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification
Judy X Yang, Jun Zhou, Jing Wang +2
Classifying hyperspectral images is a difficult task in remote sensing, due to their complex high-dimensional data. To address this challenge, we propose HSIMamba, a novel framewor…