The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Abstract: Reconstructing 3D poses from 2D poses lacking depth information is particularly challenging due to the complexity and diversity of human motion. The key is to effectively model the spatial ...
Abstract: This paper focuses on the detection of potentially dangerous tendencies of social media users in an innovative multimodal way. We integrate Natural Language Processing (NLP) and Graph Neural ...
A critical challenge in skeleton-based action recognition lies in effectively extracting meaningful features from skeleton joints. However, existing state-of-the-art networks for this task are often ...
This project implements a Graph Convolutional Network (GCN) to perform link prediction on a social network graph. The objective is to learn node representations from graph structure and use them to ...
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