67 citations · 221 across the 42 of their papers we have counts for
6 papers · 1 filter
No-Reference Point Cloud Quality Assessment via Domain Adaptation
Qi Yang, Yipeng Liu, Siheng Chen +2
We present a novel no-reference quality assessment metric, the image transferred point cloud quality assessment (IT-PCQA), for 3D point clouds. For quality assessment, deep neural…
Semi-tensor Product-based TensorDecomposition for Neural Network Compression
Hengling Zhao, Yipeng Liu, Xiaolin Huang +1
The existing tensor networks adopt conventional matrix product for connection. The classical matrix product requires strict dimensionality consistency between factors, which can re…
Which One is Better: Assessing Objective Metrics for Point Cloud Compression
Yipeng Liu, Qi Yang, Yiling Xu +1
Point cloud compression (PCC) has made remarkable achievement in recent years. In the mean time, point cloud quality assessment (PCQA) also realize gratifying development. Some rec…
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
Jing Wu, Mingyi Zhou, Ce Zhu +3
Recently, adversarial attack methods have been developed to challenge the robustness of machine learning models. However, mainstream evaluation criteria experience limitations, eve…
Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
Tao Li, Lei Tan, Qinghua Tao +2
Deep neural networks (DNNs) usually contain massive parameters, but there is redundancy such that it is guessed that the DNNs could be trained in low-dimensional subspaces. In this…
Scalable Deep Compressive Sensing
Zhonghao Zhang, Yipeng Liu, Xingyu Cao +2
Deep learning has been used to image compressive sensing (CS) for enhanced reconstruction performance. However, most existing deep learning methods train different models for diffe…