Our paper Interactive 360 degree Video Streaming Using FoV-Adaptive Coding with Temporal Prediction came out!
New Paper about Multi-Subject Neural Speech Decoding came out
Our new paper Subject-Agnostic Transformer-Based Neural Speech Decoding from Surface and Depth Electrode Signals proposes a solution to leveraging multi-subject and irregular structure electrodes for Neural Speech Decoding.
New Press Report about Our Works!
We have a new press report about our project “Object-Centric, View-Adaptive and Progressive Coding and Streaming of Point Cloud Video” (jointly with Prof. Yong Liu and Prof. Luke DuBois) We also have a press release about our work “Distributed feedforward and feedback cortical processing supports human speech production“ (jointly with Prof. Adeen Flinker) (paper link)
New Paper about Neural Speech Decoding was published in PNAS
Our paper “Distributed feedforward and feedback cortical processing supports human speech production“ was published in PNAS (paper link). The press release about our work can be found here. A demo of the results can be found here
Automatic Scene Tagging for TV Content
We have started a new project on automatic scene tagging for TV content. Funded by Viacom Inc./NYC Media Lab. Oct. 2018 – Jan. 2019.
Developed Machine Learning Based Method for Detection and Treatment of Lymphedema
Professor Wang’s team has developed a machine learning based method for the early detection and treatment of Lymphedema, in collaboration with Professor Mei Fu from the NYU College of Nursing. You can read more about this project here!