34 citations · 73 across the 9 of their papers we have counts for
10 papers
Subspace-Configurable Networks
Dong Wang, Olga Saukh, Xiaoxi He +1
While the deployment of deep learning models on edge devices is increasing, these models often lack robustness when faced with dynamic changes in sensed data. This can be attribute…
Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud Compression
Tingyu Fan, Linyao Gao, Yiling Xu +2
The non-uniform distribution and extremely sparse nature of the LiDAR point cloud (LPC) bring significant challenges to its high-efficient compression. This paper proposes a novel…
D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction
Tingyu Fan, Linyao Gao, Yiling Xu +2
The non-uniformly distributed nature of the 3D dynamic point cloud (DPC) brings significant challenges to its high-efficient inter-frame compression. This paper proposes a novel 3D…
Reliable Visualization for Deep Speaker Recognition
Pengqi Li, Lantian Li, Askar Hamdulla +1
In spite of the impressive success of convolutional neural networks (CNNs) in speaker recognition, our understanding to CNNs' internal functions is still limited. A major obstacle…
Temporal Relational Modeling with Self-Supervision for Action Segmentation
Dong Wang, Di Hu, Xingjian Li +1
Temporal relational modeling in video is essential for human action understanding, such as action recognition and action segmentation. Although Graph Convolution Networks (GCNs) ha…
Deep Variational Luenberger-type Observer for Stochastic Video Prediction
Dong Wang, Feng Zhou, Zheng Yan +4
Considering the inherent stochasticity and uncertainty, predicting future video frames is exceptionally challenging. In this work, we study the problem of video prediction by combi…