| Ekya: Continuous learning of video analytics models on edge compute servers R Bhardwaj, Z Xia, G Ananthanarayanan, J Jiang, Y Shu, N Karianakis, ... Symposium on Networked Systems Design and Implementation (NSDI), 2022 | 130 | 2022 |
| SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection F Yu, D Wang, Y Chen, N Karianakis, T Shen, P Yu, D Lymberopoulos, ... Winter Conference on Applications of Computer Vision (WACV), 2022 | 76* | 2022 |
| Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification N Karianakis, Z Liu, Y Chen, S Soatto European Conference on Computer Vision (ECCV), 2018 | 54* | 2018 |
| Gemel: Model Merging for {Memory-Efficient},{Real-Time} Video Analytics at the Edge A Padmanabhan, N Agarwal, A Iyer, G Ananthanarayanan, Y Shu, ... 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023 | 35 | 2023 |
| HyperSTAR: Task-Aware Hyperparameters for Deep Networks G Mittal, C Liu, N Karianakis, V Fragoso, M Chen, Y Fu Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 32 | 2020 |
| Boosting Convolutional Features for Robust Object Proposals N Karianakis, TJ Fuchs, S Soatto arXiv preprint arXiv:1503.06350, 2015 | 31 | 2015 |
| Multi-view feature engineering and learning J Dong, N Karianakis, D Davis, J Hernandez, J Balzer, S Soatto Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 25 | 2015 |
| An integrated system for digital restoration of prehistoric Theran wall paintings N Karianakis, P Maragos International Conference on Digital Signal Processing (DSP), 2013 | 18 | 2013 |
| An Empirical Evaluation of Current Convolutional Architectures’ Ability to Manage Nuisance Location and Scale Variability N Karianakis, J Dong, S Soatto Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 17 | 2016 |
| Towards latency-aware dnn optimization with gpu runtime analysis and tail effect elimination F Yu, Z Xu, T Shen, D Stamoulis, L Shangguan, D Wang, R Madhok, ... arXiv preprint arXiv:2011.03897, 2020 | 14 | 2020 |
| BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images J Kozerawski, V Fragoso, N Karianakis, G Mittal, M Turk, M Chen Asian Conference on Computer Vision (ACCV), 2020 | 14 | 2020 |
| Depth-based object re-identification N Karianakis, Z Liu, C Yinpeng US Patent 11,238,300, 2022 | 9 | 2022 |
| Towards memory-efficient inference in edge video analytics A Padmanabhan, AP Iyer, G Ananthanarayanan, Y Shu, N Karianakis, ... Hot Topics in Video Analytics and Intelligent Edges (MobiCom, workshop), 2021 | 7 | 2021 |
| Visual Scene Representations: Contrast, Scaling and Occlusion S Soatto, J Dong, N Karianakis International Conference on Learning Representations (ICLR, workshop), 2015 | 7 | 2015 |
| VL-SLAM: Real-Time Visual-Inertial Navigation and Semantic Mapping J Dong, X Fei, N Karianakis, K Tsotsos, S Soatto Conference on Computer Vision and Pattern Recognition (CVPR, live demo), 2016 | 5 | 2016 |
| Visual scene representation: scaling and occlusion in convolutional architectures S Soatto, J Dong, N Karianakis ArXiv preprint: ArXiv 1412, 2, 2014 | 5 | 2014 |
| Task-aware recommendation of hyperparameter configurations G Mittal, VMF ROJAS, N Karianakis, M Chen, C Liu US Patent 11,544,561, 2023 | 4 | 2023 |
| Allocating computing resources during continuous retraining G Ananthanarayanan, SHU Yuanchao, T Hsieh, N Karianakis, P Bahl, ... US Patent 11,461,591, 2022 | 4 | 2022 |
| Information driven exploration using Poisson sampling over using marginals J Hernandez, N Karianakis, S Soatto preparation, 2013 | 4 | 2013 |
| Learning to discriminate in the wild: Representation learning network for nuisance-invariant image comparison N Karianakis, Y Wang, S Soatto Technical report, UCLA Vision Lab, 2013 | 3 | 2013 |
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AI在 ucla.edu 的电子邮件经过验证
