Nikolaos Karianakis

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 18

Top Venues

CoRR

CVPR

NSDI

DSP

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Arthi Padmanabhan, Neil Agarwal, Anand P. Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge. NSDI (2023)
Arthi Padmanabhan, Neil Agarwal, Anand P. Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge. CoRR (2022)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. NSDI (2022)
Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen
SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. WACV (2022)
Arthi Padmanabhan, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
Towards memory-efficient inference in edge video analytics. HotEdgeVideo@MobiCom (2021)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. CoRR (2020)
Jedrzej Kozerawski, Victor Fragoso, Nikolaos Karianakis, Gaurav Mittal, Matthew A. Turk, Mei Chen
BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images. ACCV (3) (2020)
Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu
HyperSTAR: Task-Aware Hyperparameters for Deep Networks. CVPR (2020)
Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu
HyperSTAR: Task-Aware Hyperparameters for Deep Networks. CoRR (2020)
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
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination. CoRR (2020)
Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning. CoRR (2019)
Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto
Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification. ECCV (5) (2018)
Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto
Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors. CoRR (2017)
Nikolaos Karianakis, Jingming Dong, Stefano Soatto
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability. CVPR (2016)
Stefano Soatto, Jingming Dong, Nikolaos Karianakis
Visual Scene Representations: Scaling and Occlusion in Convolutional Architectures. ICLR (Workshop) (2015)
Nikolaos Karianakis, Jingming Dong, Stefano Soatto
How Well Can a CNN Marginalize Simple Nuisances It is Designed for? CoRR (2015)
Nikolaos Karianakis, Thomas J. Fuchs, Stefano Soatto
Boosting Convolutional Features for Robust Object Proposals. CoRR (2015)
Jingming Dong, Nikolaos Karianakis, Damek Davis, Joshua Hernandez, Jonathan Balzer, Stefano Soatto
Multi-view feature engineering and learning. CVPR (2015)
Nikolaos Karianakis, Petros Maragos
An integrated system for digital restoration of prehistoric Theran wall paintings. DSP (2013)

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Publication Activity (10 Years)

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Nikolaos Karianakis