Ensembles of CNN models trained with different seeds (also known as Deep...
Recent work demonstrated the lack of robustness of optical flow networks...
CNNs perform remarkably well when the training and test distributions ar...
To learn models or features that generalize across tasks and domains is ...
Differentiable Architecture Search (DARTS) has attracted a lot of attent...
Much research work in computer vision is being spent on optimizing exist...
Occlusions play an important role in disparity and optical flow estimati...
The FlowNet demonstrated that optical flow estimation can be cast as a
l...