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01/19/2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Video analytics pipelines have steadily shifted to edge deployments to r...
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12/19/2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Video analytics applications use edge compute servers for the analytics ...
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11/08/2020
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination
Despite the superb performance of State-Of-The-Art (SOTA) DNNs, the incr...
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05/21/2020
HyperSTAR: Task-Aware Hyperparameters for Deep Networks
While deep neural networks excel in solving visual recognition tasks, th...
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11/17/2019
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning
Current state-of-the-art object detectors can have significant performan...
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05/28/2017
Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors
This work targets person re-identification (ReID) from depth sensors suc...
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05/26/2015
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability
We conduct an empirical study to test the ability of Convolutional Neura...
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03/21/2015
Boosting Convolutional Features for Robust Object Proposals
Deep Convolutional Neural Networks (CNNs) have demonstrated excellent pe...
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12/20/2014