Paper 1: Analyzing Deep Learning Model Inferences for Image Classification using OpenVINO. (Slides) (Presentation) Zheming Jin, and Hal Finkel.
Paper 2: Multiperspective Automotive Labeling.(Slides) (Presentation) Luke Jacobs, Akhil Kodumuri, Jim James, Seongha Park and Yongho Kim.
Paper 3: Integrating DOTS With Blockchain Can Secure Massive IoT Sensors.(Slides) (Presentation) Syed Badruddoja, Ram Dantu, Logan Widick, Zachary Zaccagni and Kritagya Upadhyay.
Paper 4: Indirect Deconvolution Algorithm.(Slides) (Presentation) Marat Dukhan.
Paper 5: Energy-Efficient Machine Learning on the Edges.(Slides) (Presentation) Mohit Kumar, Xingzhou Zhang, Liangkai Liu, Yifan Wang and Weisong Shi.
As one of the panelists last year excellently noted, the goal of the workshop
is to foster a discussion around somewhat open problems; not presentations on
definitive and narrow improvements over existing solutions. After considering
all options, unfortunately, we do not see a good way to accomplish this vibrant
discussion virtually, across time-zones. PAISE 2020 is hence non-interactive.
However, here are the papers selected for this year's workshop, along with the
presentation files and videos.