publié le: 2023
Mapping a truncated optimization method into a deep neural network, deep proximal unrolling network has attracted attention in compressive sensing due...
In this paper, we investigate absolute and relative pose estimation under refraction, which are essential problems for refractive structure from motio...
Three-dimensional markerless pose estimation from multi-view video is emerging as an exciting method for quantifying the behavior of freely moving ani...
Despite the significant improvements that self-supervised representation learning has led to when learning from unlabeled data, no methods have been d...
Action recognition on extreme low-resolution videos, e.g., a resolution of \(12 \times 16\) pixels, plays a vital role in far-view surveillance and pr...
