Samvit Jain
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Publications
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Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video Samvit Jain, Xin Wang, Joseph Gonzalez CVPR 2019 [Oral presentation]
summary | arXiv | program | project page | code | video
We present Accel, a novel corrective fusion network that combines (1) optical flow-based feature warping with (2) lightweight, per-frame, temporal correction to achieve state-of-the-art accuracy and throughput on video semantic segmentation.
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Spatula: Efficient Cross-Camera Video Analytics on Large Camera Networks Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Victor Bahl, Joseph Gonzalez ACM Symposium on Edge Computing (SEC) 2020 [Best paper award]
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Scaling Video Analytics Systems to Large Camera Deployments Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph Gonzalez HotMobile 2019
summary | arXiv | program
We discuss the potential of spatio-temporal correlations -- content correlations between geographically proximate cameras in wide-area enterprise camera deployments -- to improve cost efficiency and inference accuracy in large-scale video analytics operations. Our template application is real-time person re-identification and tracking.
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Fast Semantic Segmentation on Video Using Motion Vector-Based Feature Interpolation Samvit Jain, Joseph Gonzalez ECCV International Workshop on Video Segmentation 2018
summary | arXiv | program We exploit video compression techniques (in particular, the block motion vectors in H.264 video) and feature similarity across frames to accelerate a classical image recognition task, semantic segmentation, on video.
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Determining an Optimal Threshold on the Online Reserves of a Bitcoin Exchange Samvit Jain, Edward Felten, Steven Goldfeder Journal of Cybersecurity (JCS), 2018
summary | pdf | program We investigate the fundamental tradeoff between exposure to online (network-based) and offline threats faced by a Bitcoin exchange that must store Bitcoin across online and offline storage, while guaranteeing availability to customers. Parameterizing deposit, withdrawal, and theft events as Poisson processes, we are able to model the financial dynamics of the exchange, and solve for the optimal threshold on online storage.
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Technical Reports
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Recent Talks
CVPR 2019 |
Accel: A Corrective Fusion Network [video] |
Long Beach, CA |
June 20, 2019 |
RISE Lab Retreat |
Scaling Video Analytics [video] |
Lake Tahoe, NV |
May 23, 2019 |
BAIR Lab Retreat |
Accel: A Corrective Fusion Network |
Sonoma, CA |
Mar 25, 2019 |
HotMobile 2019 |
Scaling Video Analytics |
Santa Cruz, CA |
Feb 27, 2019 |
ECCV 2018 Workshop |
Accelerating Semantic Segmentation on Video |
Munich, Germany |
Sep 14, 2018 |
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