429 citations · 1.3k across the 86 of their papers we have counts for
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cs.CV2015
The Multiverse Loss for Robust Transfer Learning
Etai Littwin, Lior Wolf
Deep learning techniques are renowned for supporting effective transfer learning. However, as we demonstrate, the transferred representations support only a few modes of separation…
cs.CV2015★ 1 cited
RNN Fisher Vectors for Action Recognition and Image Annotation
Guy Lev, Gil Sadeh, Benjamin Klein +1
Recurrent Neural Networks (RNNs) have had considerable success in classifying and predicting sequences. We demonstrate that RNNs can be effectively used in order to encode sequence…
cs.CV2015★ 2 cited
PatchBatch: a Batch Augmented Loss for Optical Flow
David Gadot, Lior Wolf
We propose a new pipeline for optical flow computation, based on Deep Learning techniques. We suggest using a Siamese CNN to independently, and in parallel, compute the descriptors…