48 citations · 80 across the 5 of their papers we have counts for
11 papers
Microdosing: Knowledge Distillation for GAN based Compression
Leonhard Helminger, Roberto Azevedo, Abdelaziz Djelouah +2
Recently, significant progress has been made in learned image and video compression. In particular the usage of Generative Adversarial Networks has lead to impressive results in th…
Blind Image Restoration with Flow Based Priors
Leonhard Helminger, Michael Bernasconi, Abdelaziz Djelouah +2
Image restoration has seen great progress in the last years thanks to the advances in deep neural networks. Most of these existing techniques are trained using full supervision wit…
Lossy Image Compression with Normalizing Flows
Leonhard Helminger, Abdelaziz Djelouah, Markus Gross +1
Deep learning based image compression has recently witnessed exciting progress and in some cases even managed to surpass transform coding based approaches that have been establishe…
Enriching Video Captions With Contextual Text
Philipp Rimle, Pelin Dogan, Markus Gross
Understanding video content and generating caption with context is an important and challenging task. Unlike prior methods that typically attempt to generate generic video captions…
Shapley Value as Principled Metric for Structured Network Pruning
Marco Ancona, Cengiz Öztireli, Markus Gross
Structured pruning is a well-known technique to reduce the storage size and inference cost of neural networks. The usual pruning pipeline consists of ranking the network internal f…
Neural Sequential Phrase Grounding (SeqGROUND)
Pelin Dogan, Leonid Sigal, Markus Gross
We propose an end-to-end approach for phrase grounding in images. Unlike prior methods that typically attempt to ground each phrase independently by building an image-text embeddin…