31 citations · 32 across the 4 of their papers we have counts for
4 papers
Momentum-Conserving Graph Neural Networks for Deformable Objects
Jiahong Wang, Logan Numerow, Stelian Coros +3
Graph neural networks (GNNs) have emerged as a versatile and efficient option for modeling the dynamic behavior of deformable materials. While GNNs generalize readily to arbitrary…
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition
Yan Yan, Tianzheng Liao, Jinjin Zhao +5
The sensor-based human activity recognition (HAR) in mobile application scenarios is often confronted with sensor modalities variation and annotated data deficiency. Given this obs…
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data
Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh +1
Extracting detailed 3D information of objects from video data is an important goal for holistic scene understanding. While recent methods have shown impressive results when reconst…
Short-term Load Forecasting Based on Hybrid Strategy Using Warm-start Gradient Tree Boosting
Yuexin Zhang, Jiahong Wang
A deep-learning-based hybrid strategy for short-term load forecasting is presented. The strategy proposes a novel tree-based ensemble method Warm-start Gradient Tree Boosting (WGTB…