Nikolaos Karianakis

27 papers A* 3A 2Misc 2Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Click&Describe: Multimodal Grounding and Tracking for Aerial Objects. WACV Rupanjali Kukal, Jay Patravali, Fuxun Yu, Simranjit Singh, Nikolaos Karianakis, Rishi Madhok
2025	J	`jnl`	Geo-R1: Unlocking VLM Geospatial Reasoning with Cross-View Reinforcement Learning. CoRR Chenhui Xu, Fuxun Yu, Michael J. Bianco, Jacob Kovarskiy, Raphael Tang, Qi Zhang, Zirui Xu, Will LeVine, Brandon Dubbs, Heming Liao, Cassandra Burgess, Suvam Bag, Jay Patravali, Rupanjali Kukal, Mikael Figueroa, Rishi Madhok, Nikolaos Karianakis, Jinjun Xiong
2025	J	`jnl`	Geospatial Foundational Embedder: Top-1 Winning Solution on EarthVision Embed2Scale Challenge (CVPR 2025). CoRR Zirui Xu, Raphael Tang, Mike Bianco, Qi Zhang, Rishi Madhok, Nikolaos Karianakis, Fuxun Yu
2025	J	`jnl`	Rethinking Latency-Aware DNN Design With GPU Tail Effect Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fuxun Yu, Zirui Xu, Longfei Shangguan, Di Wang, Dimitrios Stamoulis, Rishi Madhok, Nikolaos Karianakis, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen
2024	J	`jnl`	HyperSTAR: Task-Aware Hyperparameter Recommendation for Training and Compression. Int. J. Comput. Vis. Chang Liu, Gaurav Mittal, Nikolaos Karianakis, Victor Fragoso, Ye Yu, Yun Fu, Mei Chen
2024	—	`conf`	Online Learning via Memory: Retrieval-Augmented Detector Adaptation. ECCV Workshops (14) Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis
2024	J	`jnl`	Online Learning via Memory: Retrieval-Augmented Detector Adaptation. CoRR Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis
2023	Misc	`conf`	Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge. NSDI Arthi Padmanabhan, Neil Agarwal, Anand P. Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
2022	Misc	`conf`	Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. NSDI Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica
2022	J	`jnl`	GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge. CoRR Arthi Padmanabhan, Neil Agarwal, Anand P. Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
2022	A	`conf`	SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. WACV Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen
2021	—	`conf`	Towards memory-efficient inference in edge video analytics. HotEdgeVideo@MobiCom Arthi Padmanabhan, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
2020	—	`conf`	BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images. ACCV (3) Jedrzej Kozerawski, Victor Fragoso, Nikolaos Karianakis, Gaurav Mittal, Matthew Turk, Mei Chen
2020	J	`jnl`	Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. CoRR Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
2020	A*	`conf`	HyperSTAR: Task-Aware Hyperparameters for Deep Networks. CVPR Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu
2020	J	`jnl`	HyperSTAR: Task-Aware Hyperparameters for Deep Networks. CoRR Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu
2020	J	`jnl`	Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination. CoRR 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
2019	J	`jnl`	Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning. CoRR Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen
2018	—	`conf`	Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification. ECCV (5) Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto
2017	J	`jnl`	Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors. CoRR Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto
2017	—	`—`	Sampling Algorithms to Handle Nuisances in Large-Scale Recognition. Nikolaos Karianakis
2016	A*	`conf`	An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability. CVPR Nikolaos Karianakis, Jingming Dong, Stefano Soatto
2015	J	`jnl`	Boosting Convolutional Features for Robust Object Proposals. CoRR Nikolaos Karianakis, Thomas J. Fuchs, Stefano Soatto
2015	J	`jnl`	How Well Can a CNN Marginalize Simple Nuisances It is Designed for? CoRR Nikolaos Karianakis, Jingming Dong, Stefano Soatto
2015	A*	`conf`	Multi-view feature engineering and learning. CVPR Jingming Dong, Nikolaos Karianakis, Damek Davis, Joshua Hernandez, Jonathan Balzer, Stefano Soatto
2015	—	`conf`	Visual Scene Representations: Scaling and Occlusion in Convolutional Architectures. ICLR (Workshop) Stefano Soatto, Jingming Dong, Nikolaos Karianakis
2013	—	`conf`	An integrated system for digital restoration of prehistoric Theran wall paintings. DSP Nikolaos Karianakis, Petros Maragos