Nikolaos Karianakis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
6
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | WACV | Click&Describe: Multimodal Grounding and Tracking for Aerial Objects. | Rupanjali Kukal, Jay Patravali, Fuxun Yu, Simranjit Singh, Nikolaos Karianakis, Rishi Madhok |
| 2024 | ECCV | Online Learning via Memory: Retrieval-Augmented Detector Adaptation. | Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis |
| 2023 | NSDI | 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 |
| 2022 | NSDI | 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 |
| 2022 | WACV | 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 |
| 2021 | MOBICOM | Towards memory-efficient inference in edge video analytics. | Arthi Padmanabhan, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali |
| 2020 | ACCV | BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images. | Jedrzej Kozerawski, Victor Fragoso, Nikolaos Karianakis, Gaurav Mittal, Matthew Turk, Mei Chen |
| 2020 | CVPR | HyperSTAR: Task-Aware Hyperparameters for Deep Networks. | Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu |
| 2018 | ECCV | Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification. | Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto |
| 2016 | CVPR | An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability. | Nikolaos Karianakis, Jingming Dong, Stefano Soatto |
| 2015 | CVPR | Multi-view feature engineering and learning. | Jingming Dong, Nikolaos Karianakis, Damek Davis, Joshua Hernandez, Jonathan Balzer, Stefano Soatto |