2 citations · 4 across the 4 of their papers we have counts for
4 papers
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection
Yuhe Ding, Jian Liang, Bo Jiang +2
Existing cross-domain keypoint detection methods always require accessing the source data during adaptation, which may violate the data privacy law and pose serious security concer…
Spiking GATs: Learning Graph Attentions via Spiking Neural Network
Beibei Wang, Bo Jiang
Graph Attention Networks (GATs) have been intensively studied and widely used in graph data learning tasks. Existing GATs generally adopt the self-attention mechanism to conduct gr…
Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators
Beibei Wang, Bo Jiang
Graph neural networks (GNNs) have achieved great success in many graph learning tasks. The main aspect powering existing GNNs is the multi-layer network architecture to learn the n…
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking
Xiao Wang, Xiujun Shu, Shiliang Zhang +4
Many RGB-T trackers attempt to attain robust feature representation by utilizing an adaptive weighting scheme (or attention mechanism). Different from these works, we propose a new…