Nikolaos Karianakis

According to our database, Nikolaos Karianakis authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

HyperSTAR: Task-Aware Hyperparameter Recommendation for Training and Compression.

Chang Liu, Gaurav Mittal, Nikolaos Karianakis, Victor Fragoso, Ye Yu, Yun Fu, Mei Chen

Int. J. Comput. Vis., June, 2024

Online Learning via Memory: Retrieval-Augmented Detector Adaptation.

Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis

CoRR, 2024

2023

Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge.

Arthi Padmanabhan, Neil Agarwal, Anand P. Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali

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.

Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers.

Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

2021

Towards memory-efficient inference in edge video analytics.

Arthi Padmanabhan, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali

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.

Fuxun Yu, Zirui Xu, Tong Shen, Dimitrios Stamoulis, Longfei Shangguan, Di Wang, Rishi Madhok, Chunshui Zhao, Xin Li, Nikolaos Karianakis, Dimitrios Lymberopoulos, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen

CoRR, 2020

HyperSTAR: Task-Aware Hyperparameters for Deep Networks.

Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images.

Jedrzej Kozerawski, Victor Fragoso, Nikolaos Karianakis, Gaurav Mittal, Matthew A. Turk, Mei Chen

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.

Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen

CoRR, 2019

2018

Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification.

Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Sampling Algorithms to Handle Nuisances in Large-Scale Recognition.

Nikolaos Karianakis

PhD thesis, 2017

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

Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto

CoRR, 2017

2016

An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability.

Nikolaos Karianakis, Jingming Dong, Stefano Soatto

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Visual Scene Representations: Scaling and Occlusion in Convolutional Architectures.

Stefano Soatto, Jingming Dong, Nikolaos Karianakis

Proceedings of the 3rd International Conference on Learning Representations, 2015

Boosting Convolutional Features for Robust Object Proposals.

Nikolaos Karianakis, Thomas J. Fuchs, Stefano Soatto

CoRR, 2015

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

Nikolaos Karianakis, Jingming Dong, Stefano Soatto

CoRR, 2015

Multi-view feature engineering and learning.

Jingming Dong, Nikolaos Karianakis, Damek Davis, Joshua Hernandez, Jonathan Balzer, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013

An integrated system for digital restoration of prehistoric Theran wall paintings.

Nikolaos Karianakis, Petros Maragos

Proceedings of the 18th International Conference on Digital Signal Processing, 2013