67 citations · 221 across the 42 of their papers we have counts for
10 papers · 1 filter
Fast randomized Kronecker tensor decomposition: algorithms and error analysis
Salman Ahmadi-Asl, Naeim Rezaeian, Andre L. F. de Almeida +1
This paper proposes fast randomized algorithms for computing the Kronecker Tensor Decomposition (KTD) by replacing the sequence of deterministic SVDs in the TTr1SVD framework with…
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
Ziyu Shan, Yujie Zhang, Yipeng Liu +1
No-Reference Point Cloud Quality Assessment (NR-PCQA) aims to objectively assess the human perceptual quality of point clouds without relying on pristine-quality point clouds for r…
FunOTTA: On-the-Fly Adaptation on Cross-Domain Fundus Image via Stable Test-time Training
Qian Zeng, Le Zhang, Yipeng Liu +2
Fundus images are essential for the early screening and detection of eye diseases. While deep learning models using fundus images have significantly advanced the diagnosis of multi…
Tensor Polynomial Additive Model
Yang Chen, Ce Zhu, Jiani Liu +1
Additive models can be used for interpretable machine learning for their clarity and simplicity. However, In the classical models for high-order data, the vectorization operation d…
DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection
Ruituo Wu, Yang Chen, Jian Xiao +5
Cooperation between temporal convolutional networks (TCN) and graph convolutional networks (GCN) as a processing module has shown promising results in skeleton-based video anomaly…
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning
Xinwei Ou, Ce Zhu, Xiaolin Huang +1
Second-order optimization techniques have the potential to achieve faster convergence rates compared to first-order methods through the incorporation of second-order derivatives or…