An integrated system for digital restoration of prehistoric Theran wall paintings. - Nikolaos Karianakis; Petros Maragos (DSP, 2013)

Multi-view feature engineering and learning. - Jingming Dong; Nikolaos Karianakis; Damek Davis; Joshua Hernandez; Jonathan Balzer; Stefano Soatto (CVPR, 2015)

How Well Can a CNN Marginalize Simple Nuisances It is Designed for? - Nikolaos Karianakis; Jingming Dong; Stefano Soatto (CoRR, 2015)

Boosting Convolutional Features for Robust Object Proposals. - Nikolaos Karianakis; Thomas J. Fuchs; Stefano Soatto (CoRR, 2015)

Visual Scene Representations: Scaling and Occlusion in Convolutional Architectures. - Stefano Soatto; Jingming Dong; Nikolaos Karianakis (ICLR (Workshop), 2015)

An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability. - Nikolaos Karianakis; Jingming Dong; Stefano Soatto (CVPR, 2016)

Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors. - Nikolaos Karianakis; Zicheng Liu 001; Yinpeng Chen; Stefano Soatto (CoRR, 2017)

Sampling Algorithms to Handle Nuisances in Large-Scale Recognition. - Nikolaos Karianakis (2017)

Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification. - Nikolaos Karianakis; Zicheng Liu 001; Yinpeng Chen; Stefano Soatto (ECCV (5), 2018)

Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning. - Fuxun Yu; Di Wang 003; Yinpeng Chen; Nikolaos Karianakis; Pei Yu; Dimitrios Lymberopoulos; Xiang Chen 010 (CoRR, 2019)

BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images. - Jedrzej Kozerawski; Victor Fragoso; Nikolaos Karianakis; Gaurav Mittal; Matthew Turk 001; Mei Chen (ACCV (3), 2020)

HyperSTAR: Task-Aware Hyperparameters for Deep Networks. - Gaurav Mittal; Chang Liu 022; Nikolaos Karianakis; Victor Fragoso; Mei Chen; Yun Fu 001 (CVPR, 2020)

Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination. - Fuxun Yu; Zirui Xu; Tong Shen; Dimitrios Stamoulis; Longfei Shangguan; Di Wang 003; Rishi Madhok; Chunshui Zhao; Xin Li 001; Nikolaos Karianakis; Dimitrios Lymberopoulos; Ang Li 005; et al. (CoRR, 2020)

Towards memory-efficient inference in edge video analytics. - Arthi Padmanabhan; Anand Padmanabha Iyer; Ganesh Ananthanarayanan; Yuanchao Shu; Nikolaos Karianakis; Guoqing Harry Xu; Ravi Netravali (HotEdgeVideo@MobiCom, 2021)

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 (NSDI, 2022)

SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. - Fuxun Yu; Di Wang 003; Yinpeng Chen; Nikolaos Karianakis; Tong Shen; Pei Yu; Dimitrios Lymberopoulos; Sidi Lu; Weisong Shi; Xiang Chen 010 (WACV, 2022)

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 (NSDI, 2023)

Online Learning via Memory: Retrieval-Augmented Detector Adaptation. - Yanan Jian; Fuxun Yu; Qi Zhang; William Levine; Brandon Dubbs; Nikolaos Karianakis (ECCV Workshops (14), 2024)

HyperSTAR: Task-Aware Hyperparameter Recommendation for Training and Compression. - Chang Liu 022; Gaurav Mittal; Nikolaos Karianakis; Victor Fragoso; Ye Yu 003; Yun Fu 001; Mei Chen (Int. J. Comput. Vis., 2024)

Click&Describe: Multimodal Grounding and Tracking for Aerial Objects. - Rupanjali Kukal; Jay Patravali; Fuxun Yu; Simranjit Singh 003; Nikolaos Karianakis; Rishi Madhok (WACV, 2025)

Rethinking Latency-Aware DNN Design With GPU Tail Effect Analysis. - Fuxun Yu; Zirui Xu; Longfei Shangguan; Di Wang 003; Dimitrios Stamoulis; Rishi Madhok; Nikolaos Karianakis; Ang Li 005; Chenchen Liu; Yiran Chen 001; Xiang Chen 010 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)