research
∙
07/09/2021
Multi-headed Neural Ensemble Search
Ensembles of CNN models trained with different seeds (also known as Deep...
share
research
∙
03/30/2021
What Causes Optical Flow Networks to be Vulnerable to Physical Adversarial Attacks
Recent work demonstrated the lack of robustness of optical flow networks...
research
∙
03/30/2021
Improving robustness against common corruptions with frequency biased models
CNNs perform remarkably well when the training and test distributions ar...
research
∙
01/22/2020
Optimized Generic Feature Learning for Few-shot Classification across Domains
To learn models or features that generalize across tasks and domains is ...
research
∙
09/20/2019
Understanding and Robustifying Differentiable Architecture Search
Differentiable Architecture Search (DARTS) has attracted a lot of attent...
research
∙
05/17/2019
AutoDispNet: Improving Disparity Estimation with AutoML
Much research work in computer vision is being spent on optimizing exist...
research
∙
08/06/2018
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
Occlusions play an important role in disparity and optical flow estimati...
research
∙
12/06/2016
