Despite the recent success of Graph Neural Networks (GNNs), it remains
c...
Despite the recent success of Graph Neural Networks (GNNs), it remains
c...
Lines provide the significantly richer geometric structural information ...
Federated learning (FL) involves multiple distributed devices jointly
tr...
This report describes Megvii-3D team's approach towards SimLocMatch Chal...
This report describes Megvii-3D team's approach towards CVPR 2021 Image
...
The Graph Augmented Multi-layer Perceptron (GA-MLP) model is an attracti...
Federated learning (FL) involves training a model over massive distribut...
Alternating minimization methods have recently been proposed as alternat...
Federated Learning (FL) enables learning a shared model across many clie...
Sensors are an integral part of modern Internet of Things (IoT) applicat...
Warehouse-scale cloud datacenters co-locate workloads with different and...