A survey of multimodal federated learning: background, applications, and perspectives
Abstract Multimodal Federated Learning (MMFL) is a novel machine learning technique that
enhances the capabilities of traditional Federated Learning (FL) to support collaborative …
enhances the capabilities of traditional Federated Learning (FL) to support collaborative …
Sparse Query Dense: Enhancing 3D Object Detection with Pseudo Points
Current LiDAR-only 3D detection methods are limited by the sparsity of point clouds. The
previous method used pseudo points generated by depth completion to supplement the …
previous method used pseudo points generated by depth completion to supplement the …
Multi-view key information representation and multi-modal fusion for single-subject routine action recognition
X Chao, G Ji, X Qi - Applied Intelligence, 2024 - Springer
Currently, human action recognition has witnessed remarkable progress, and its
achievements have been applied to daily life. However, most methods extract features from …
achievements have been applied to daily life. However, most methods extract features from …
Posture-Invariant Human Detection and Tracking for Outdoor Night-Time Surveillance
Human detection and tracking from infrared image sequences has received considerable
attention in many practical applications, ranging from security and surveillance to automated …
attention in many practical applications, ranging from security and surveillance to automated …
MGSAN: multimodal graph self-attention network for skeleton-based action recognition
Due to the emergence of graph convolutional networks (GCNs), the skeleton-based action
recognition has achieved remarkable results. However, the current models for skeleton …
recognition has achieved remarkable results. However, the current models for skeleton …
Motion synthesis via distilled absorbing discrete diffusion model
In this work, we explore the potential of discrete diffusion model in text-driven motion
synthesis. Previous methods aimed at improving the quality of generated motions often led …
synthesis. Previous methods aimed at improving the quality of generated motions often led …
Sparse Query Dense: Enhancing 3D Object Detection with Pseudo points
Current LiDAR-only 3D detection methods are limited by the sparsity of point clouds. The
previous method used pseudo points generated by depth completion to supplement the …
previous method used pseudo points generated by depth completion to supplement the …