Nikolaos Karianakis

According to our database1, Nikolaos Karianakis authored at least 17 papers between 2013 and 2023.

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Bibliography

2023
Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

2022
SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers.
Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

2021
Towards memory-efficient inference in edge video analytics.
Proceedings of the HotEdgeVideo@MobiCom 2021: Proceedings of the 3rd ACM Workshop on Hot Topics in Video Analytics and Intelligent Edges, 2021

2020
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination.
CoRR, 2020

HyperSTAR: Task-Aware Hyperparameters for Deep Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning.
CoRR, 2019

2018
Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Sampling Algorithms to Handle Nuisances in Large-Scale Recognition.
PhD thesis, 2017

Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors.
CoRR, 2017

2016
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Visual Scene Representations: Scaling and Occlusion in Convolutional Architectures.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Boosting Convolutional Features for Robust Object Proposals.
CoRR, 2015

How Well Can a CNN Marginalize Simple Nuisances It is Designed for?
CoRR, 2015

Multi-view feature engineering and learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013
An integrated system for digital restoration of prehistoric Theran wall paintings.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013


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