Graphics & multimedia - Microsoft Research

Tool

Acoustic Scattering Data for Machine Learning

Exterior acoustic scattering data suitable for machine learning. From ICASSP 2020 paper “Fast Acoustic Scattering using Convolutional Neural Networks”.

GitHub

Event

Swiss Joint Research Center Workshop 2020

January 29, 2020 – January 30, 2020 | Lausanne, Switzerland

The 7th annual workshop of the Swiss Joint Research Center, a collaborative engagement between Microsoft Research and ETH Zurich and EPFL, took place January 29-30, 2020 at EPFL in Lausanne. Each of the twelve project teams…

Publication

Reinforcement learning for bandwidth estimation and congestion control in real-time communications.

Joyce Fang, Martin Ellis, Bin Li, Siyao Liu, Yasaman Hosseinkashi, Michael Revow, Albert Sadovnikov, Ziyuan Liu, Peng Cheng, Sachin Ashok, David Zhao, Ross Cutler, Yan Lu, Johannes Gehrke

Machine Learning for Systems, NeurIPS | December 2019

Publication

Makeup Removal via Bidirectional Tunable De-Makeup Network

Chong Cao, Feng Lu, Chen Li, Stephen Lin, Xukun Shen

IEEE Transactions on Multimedia | November 2019, Vol 21(11)

Publication

Repairing Man-Made Meshes via Visual Driven Global Optimization with Minimum Intrusion

ACM SIGGRAPH Asia 2019 | November 2019

Publication

Acoustic Texture Rendering for Extended Sources in Complex Scenes

Zechen Zhang, Nikunj Raghuvanshi, John Snyder, Steve Marschner

ACM Transactions on Graphics (SIGGRAPH Asia 2019) | November 2019, Vol 38(6)

Video Project

Video

High Throughput Computing in the Service of Scientific Discovery

October 30, 2019 | Miron Livny

For more than three decades we have been engaged in translating the potential of distributed computing into effective High Throughput Computing (HTC) software tools. The widely adopted HTCondor distributed resource and job management system that…