1k citations · 1.4k across the 12 of their papers we have counts for
15 papers
PIM: Video Coding using Perceptual Importance Maps
Evgenya Pergament, Pulkit Tandon, Oren Rippel +6
Human perception is at the core of lossy video compression, with numerous approaches developed for perceptual quality assessment and improvement over the past two decades. In the d…
An Interactive Annotation Tool for Perceptual Video Compression
Evgenya Pergament, Pulkit Tandon, Kedar Tatwawadi +6
Human perception is at the core of lossy video compression and yet, it is challenging to collect data that is sufficiently dense to drive compression. In perceptual quality assessm…
ELF-VC: Efficient Learned Flexible-Rate Video Coding
Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi +3
While learned video codecs have demonstrated great promise, they have yet to achieve sufficient efficiency for practical deployment. In this work, we propose several novel ideas fo…
Learned Video Compression
Oren Rippel, Sanjay Nair, Carissa Lew +3
We present a new algorithm for video coding, learned end-to-end for the low-latency mode. In this setting, our approach outperforms all existing video codecs across nearly the enti…
Real-Time Adaptive Image Compression
Oren Rippel, Lubomir Bourdev
We present a machine learning-based approach to lossy image compression which outperforms all existing codecs, while running in real-time. Our algorithm typically produces files 2.…
Deep End2End Voxel2Voxel Prediction
Du Tran, Lubomir Bourdev, Rob Fergus +2
Over the last few years deep learning methods have emerged as one of the most prominent approaches for video analysis. However, so far their most successful applications have been…