Nikolaos Karianakis

Microsoft (United States) — United States

Computer Science · Physical Sciences

9h-index287citations31works0.22yr avg
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Research Topics

Advanced Neural Network Applications(14), Domain Adaptation and Few-Shot Learning(8), Video Surveillance and Tracking Methods(5), Advanced Image and Video Retrieval Techniques(5), Anomaly Detection Techniques and Applications(4)

Publications31 total

Geo-R1: Unlocking VLM Geospatial Reasoning with Cross-View Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Geospatial Foundational Embedder: Top-1 Winning Solution on EarthVision Embed2Scale Challenge (CVPR 2025)
arXiv (Cornell University)·2025Open Access
Click&Describe: Multimodal Grounding and Tracking for Aerial Objects
2025· 1 cited
Online Learning via Memory: Retrieval-Augmented Detector Adaptation
Lecture notes in computer science·2025
Online Learning via Memory: Retrieval-Augmented Detector Adaptation
arXiv (Cornell University)·2024Open Access
Rethinking Latency-Aware DNN Design With GPU Tail Effect Analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems·2024Open Access
HyperSTAR: Task-Aware Hyperparameter Recommendation for Training and Compression
International Journal of Computer Vision·2023
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
arXiv (Cornell University)·2022· 9 citedOpen Access
SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)·2022· 45 cited
Towards Memory-Efficient Inference in Edge Video Analytics
2022
Towards memory-efficient inference in edge video analytics
2021· 8 citedOpen Access
BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images
Lecture notes in computer science·2021· 11 cited
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
arXiv (Cornell University)·2020· 21 citedOpen Access
Ekya: Continuous Learning of Video Analytics Models on Edge Compute\n Servers
arXiv (Cornell University)·2020· 6 citedOpen Access
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination
arXiv (Cornell University)·2020· 4 citedOpen Access
HyperSTAR: Task-Aware Hyperparameters for Deep Networks
2020· 25 cited
HyperSTAR: Task-Aware Hyperparameters for Deep Networks
arXiv (Cornell University)·2020· 4 citedOpen Access
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning
arXiv (Cornell University)·2019· 36 citedOpen Access
Conscious Inference for Object Detection
2018
Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification
Lecture notes in computer science·2018· 47 cited
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Frequent Co-authors

Stefano Soatto(10), Fuxun Yu(7), Yinpeng Chen(6), Ganesh Ananthanarayanan(5), Yuanchao Shu(5), Jingming Dong(5), Rishi Madhok(5), Zicheng Liu(4), Gaurav Mittal(4), Victor Fragoso(4), Qi Zhang(4), Dimitrios Lymberopoulos(3), Yun Fu(3), Mei Chen(3), Arthi Padmanabhan(3), Anand Iyer(3), Ravi Netravali(3), Brandon Dubbs(3), Tong Shen(2), Pei Yu(2)