publié le: 2023
A popular approach to estimate scene flow is to utilize point cloud data from various Lidar scans. However, there is little attention to learning 3D m...
Web image datasets curated online inherently contain ambiguous in-distribution instances and out-of-distribution instances, which we collectively call...
By absorbing the merits of both the model- and data-driven methods, deep physics-engaged learning scheme achieves high-accuracy and interpretable imag...
In this work, we explore the usage of the frequency transformation for reducing the domain shift between the source and target domain (e.g., synthetic...
To synthesize a realistic action sequence based on a single human image, it is crucial to model both motion patterns and diversity in the action video...
