Michele Covell

Identifiers

• name variant Michele Covell 0.60 · backfill

Papers (11)

1. Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference cs.LG · 2019 · author #1
2. Neural Image Decompression: Learning to Render Better Image Previews cs.CV · 2018 · author #4
3. No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference cs.LG · 2018 · author #3
4. Representing Images in 200 Bytes: Compression via Triangulation cs.CV · 2018 · author #3
5. Image-Dependent Local Entropy Models for Learned Image Compression cs.CV · 2018 · author #5
6. Spatially adaptive image compression using a tiled deep network cs.CV · 2018 · author #3
7. Target-Quality Image Compression with Recurrent, Convolutional Neural Networks cs.CV · 2017 · author #1
8. Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks cs.CV · 2017 · author #4
9. Traffic Lights with Auction-Based Controllers: Algorithms and Real-World Data cs.AI · 2017 · author #2
10. Full Resolution Image Compression with Recurrent Neural Networks cs.CV · 2016 · author #7
11. Variable Rate Image Compression with Recurrent Neural Networks cs.CV · 2015 · author #7

Mentions

• 1511.06085 #7 · backfill · confidence 0.70 Michele Covell
• 1702.01205 #2 · arxiv_oai · confidence 0.70 Michele Covell

Frequent Coauthors

• Nick Johnston 7 shared papers
• David Minnen 6 shared papers
• George Toderici 6 shared papers
• Shumeet Baluja 6 shared papers
• Sung Jin Hwang 6 shared papers
• Damien Vincent 5 shared papers
• Joel Shor 4 shared papers
• Saurabh Singh 4 shared papers
• David Marwood 3 shared papers
• Rahul Sukthankar 2 shared papers
• Troy Chinen 2 shared papers
• Dave Marwood 1 shared papers
• Pascal Massimino 1 shared papers
• Sean M. O'Malley 1 shared papers