2 citations · 5 across the 4 of their papers we have counts for
5 papers · 1 filter
Chronos: Sequential Identity-Preserving Video Generation by Temporal Anchoring
Mengqi Huang, Wenchuan Wang, Zhendong Mao +8
Identity-preserving video generation aims to synthesize high-quality and visually realistic videos from textual and visual conditions while faithfully maintaining the subject's ide…
Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao +3
We propose a unified point cloud video self-supervised learning framework for object-centric and scene-centric data. Previous methods commonly conduct representation learning at th…
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
Zhiqiang Shen, Xiaoxiao Sheng, Hehe Fan +5
Recently, the community has made tremendous progress in developing effective methods for point cloud video understanding that learn from massive amounts of labeled data. However, a…
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao
We present a new self-supervised paradigm on point cloud sequence understanding. Inspired by the discriminative and generative self-supervised methods, we design two tasks, namely…
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos
Zhiqiang Shen, Xiaoxiao Sheng, Longguang Wang +3
Self-supervised learning can extract representations of good quality from solely unlabeled data, which is appealing for point cloud videos due to their high labelling cost. In this…