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Nikolaos Karianakis
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2020 – today
- 2024
- [j1]Chang Liu
, Gaurav Mittal, Nikolaos Karianakis, Victor Fragoso, Ye Yu, Yun Fu, Mei Chen:
HyperSTAR: Task-Aware Hyperparameter Recommendation for Training and Compression. Int. J. Comput. Vis. 132(6): 1913-1927 (2024) - [i9]Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis:
Online Learning via Memory: Retrieval-Augmented Detector Adaptation. CoRR abs/2409.10716 (2024) - 2023
- [c11]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: 973-994 - 2022
- [c10]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: 119-135 - [c9]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: 1061-1070 - [i8]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 abs/2201.07705 (2022) - 2021
- [c8]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: 31-37 - 2020
- [c7]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: 338-355 - [c6]Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu:
HyperSTAR: Task-Aware Hyperparameters for Deep Networks. CVPR 2020: 8733-8742 - [i7]Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu:
HyperSTAR: Task-Aware Hyperparameters for Deep Networks. CoRR abs/2005.10524 (2020) - [i6]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 abs/2011.03897 (2020) - [i5]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 abs/2012.10557 (2020)
2010 – 2019
- 2019
- [i4]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 abs/1911.07158 (2019) - 2018
- [c5]Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto:
Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification. ECCV (5) 2018: 737-756 - 2017
- [b1]Nikolaos Karianakis:
Sampling Algorithms to Handle Nuisances in Large-Scale Recognition. University of California, Los Angeles, USA, 2017 - [i3]Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto:
Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors. CoRR abs/1705.09882 (2017) - 2016
- [c4]Nikolaos Karianakis, Jingming Dong, Stefano Soatto:
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability. CVPR 2016: 4442-4451 - 2015
- [c3]Jingming Dong, Nikolaos Karianakis, Damek Davis, Joshua Hernandez, Jonathan Balzer, Stefano Soatto:
Multi-view feature engineering and learning. CVPR 2015: 3251-3260 - [c2]Stefano Soatto, Jingming Dong, Nikolaos Karianakis:
Visual Scene Representations: Scaling and Occlusion in Convolutional Architectures. ICLR (Workshop) 2015 - [i2]Nikolaos Karianakis, Thomas J. Fuchs, Stefano Soatto:
Boosting Convolutional Features for Robust Object Proposals. CoRR abs/1503.06350 (2015) - [i1]Nikolaos Karianakis, Jingming Dong, Stefano Soatto:
How Well Can a CNN Marginalize Simple Nuisances It is Designed for? CoRR abs/1505.06795 (2015) - 2013
- [c1]Nikolaos Karianakis, Petros Maragos:
An integrated system for digital restoration of prehistoric Theran wall paintings. DSP 2013: 1-6
Coauthor Index
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