96 citations · 261 across the 9 of their papers we have counts for
3 papers · 1 filter
Building effective deep neural network architectures one feature at a time
Martin Mundt, Tobias Weis, Kishore Konda +1
Successful training of convolutional neural networks is often associated with sufficiently deep architectures composed of high amounts of features. These networks typically rely on…
Unsupervised learning of depth and motion
Kishore Konda, Roland Memisevic
We present a model for the joint estimation of disparity and motion. The model is based on learning about the interrelations between images from multiple cameras, multiple frames i…
Learning to encode motion using spatio-temporal synchrony
Kishore Reddy Konda, Roland Memisevic, Vincent Michalski
We consider the task of learning to extract motion from videos. To this end, we show that the detection of spatial transformations can be viewed as the detection of synchrony betwe…