2 citations · 5 across the 10 of their papers we have counts for
3 papers · 1 filter
APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
Sasan Sharifipour, Constantino Álvarez Casado, Mohammad Sabokrou +1
Training deep learning models for point cloud prediction tasks such as shape completion and generation depends critically on loss functions that measure discrepancies between predi…
Brain-Inspired Stochastic Joint Embedding Representation Learning
Makoto Yamada, Kian Ming A. Chai, Ayoub Rhim +3
Representation learning is one of the key research topics in machine learning, and the framework of self-supervised learning (SSL) has revolutionized computer vision. However, thes…
Disjoint chorded cycles in a -connected graph
Zai Ping Lu, Shu Dan Xue
A chorded cycle in a graph is a cycle containing an edge of that joins two nonconsecutive vertices of the cycle. In 2010, Gao and Qiao independently proved that a graph of…