3 citations · 10 across the 4 of their papers we have counts for
4 papers
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…
Crowd3D: Towards Hundreds of People Reconstruction from a Single Image
Hao Wen, Jing Huang, Huili Cui +4
Image-based multi-person reconstruction in wide-field large scenes is critical for crowd analysis and security alert. However, existing methods cannot deal with large scenes contai…
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding
Hao Wen, Yunze Liu, Jingwei Huang +2
This paper proposes a 4D backbone for long-term point cloud video understanding. A typical way to capture spatial-temporal context is using 4Dconv or transformer without hierarchy.…
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos
Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong +3
Automatic saliency prediction in 360° videos is critical for viewpoint guidance applications (e.g., Facebook 360 Guide). We propose a spatial-temporal network which is (1) weakly-s…