S
Sudipta N. Sinha
Researcher at Microsoft
Publications - 118
Citations - 7782
Sudipta N. Sinha is an academic researcher from Microsoft. The author has contributed to research in topics: Structure from motion & Feature (computer vision). The author has an hindex of 40, co-authored 115 publications receiving 6601 citations. Previous affiliations of Sudipta N. Sinha include University of North Carolina at Chapel Hill.
Papers
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Journal ArticleDOI
Detailed Real-Time Urban 3D Reconstruction from Video
Marc Pollefeys,David Nister,Jan-Michael Frahm,Amir Akbarzadeh,Philippos Mordohai,Brian Clipp,Chris Engels,David Gallup,Seon Joo Kim,Paul Merrell,C. Salmi,Sudipta N. Sinha,B. Talton,Wang Liang,Qingxiong Yang,Henrik Stewenius,Ruigang Yang,Gregory F. Welch,Herman Towles +18 more
TL;DR: A system for automatic, geo-registered, real-time 3D reconstruction from video of urban scenes that extends existing algorithms to meet the robustness and variability necessary to operate out of the lab and shows results on real video sequences comprising hundreds of thousands of frames.
Proceedings ArticleDOI
Real-Time Seamless Single Shot 6D Object Pose Prediction
TL;DR: A single-shot approach for simultaneously detecting an object in an RGB image and predicting its 6D pose without requiring multiple stages or having to examine multiple hypotheses is proposed, which substantially outperforms other recent CNN-based approaches when they are all used without postprocessing.
Journal ArticleDOI
Real-Time Video Analytics: The Killer App for Edge Computing
Ganesh Ananthanarayanan,Paramvir Bahl,Peter Bodik,Krishna Chintalapudi,Matthai Philipose,Lenin Ravindranath,Sudipta N. Sinha +6 more
TL;DR: A geographically distributed architecture of public clouds and edges that extend down to the cameras is the only feasible approach to meeting the strict real-time requirements of large-scale live video analytics.
GPU-based Video Feature Tracking And Matching
TL;DR: Novel implementations of the KLT feature track- ing and SIFT feature extraction algorithms that run on the graphics processing unit (GPU) and is suitable for video analysis in real-time vision systems.
Proceedings Article
Farmbeats: an IoT platform for data-driven agriculture
Deepak Vasisht,Zerina Kapetanovic,Jongho Won,Xinxin Jin,Ranveer Chandra,Ashish Kapoor,Sudipta N. Sinha,Madhusudhan Gumbalapura Sudarshan,Sean Stratman +8 more
TL;DR: FarmBeats is presented, an end-to-end IoT platform for agriculture that enables seamless data collection from various sensors, cameras and drones that has enabled six month long deployments in two US farms.