34 citations · 73 across the 9 of their papers we have counts for
8 papers · 1 filter
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…
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…
Curriculum Audiovisual Learning
Di Hu, Zheng Wang, Haoyi Xiong +3
Associating sound and its producer in complex audiovisual scene is a challenging task, especially when we are lack of annotated training data. In this paper, we present a flexible…
signADAM: Learning Confidences for Deep Neural Networks
Dong Wang, Yicheng Liu, Wenwo Tang +4
In this paper, we propose a new first-order gradient-based algorithm to train deep neural networks. We first introduce the sign operation of stochastic gradients (as in sign-based…
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks
Dong Wang, Lei Zhou, Xiao Bai +1
Acceleration of convolutional neural network has received increasing attention during the past several years. Among various acceleration techniques, filter pruning has its inherent…
Early Action Prediction with Generative Adversarial Networks
Dong Wang, Yuan Yuan, Qi Wang
Action Prediction is aimed to determine what action is occurring in a video as early as possible, which is crucial to many online applications, such as predicting a traffic acciden…