7 citations · 16 across the 8 of their papers we have counts for
5 papers · 1 filter
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos
Qi Zhao, M. Salman Asif, Zhan Ma
Existing implicit neural representation (INR) methods do not fully exploit spatiotemporal redundancies in videos. Index-based INRs ignore the content-specific spatial features and…
Disorder-invariant Implicit Neural Representation
Hao Zhu, Shaowen Xie, Zhen Liu +6
Implicit neural representation (INR) characterizes the attributes of a signal as a function of corresponding coordinates which emerges as a sharp weapon for solving inverse problem…
Dynamic Point Cloud Geometry Compression Using Multiscale Inter Conditional Coding
Jianqiang Wang, Dandan Ding, Hao Chen +1
This work extends the Multiscale Sparse Representation (MSR) framework developed for static Point Cloud Geometry Compression (PCGC) to support the dynamic PCGC through the use of m…
Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention
Ruixiang Xue, Jianqiang Wang, Zhan Ma
Although convolutional representation of multiscale sparse tensor demonstrated its superior efficiency to accurately model the occupancy probability for the compression of geometry…
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System
Ming Cheng, Yiling Xu, Wang Shen +4
High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to perceive dynamic 3D content at fine granularity. The acquisition of H2-Stereo video, however, remains challe…