| Clustering and Unsupervised Anomaly Detection with l2Normalized Deep Auto-Encoder Representations C Aytekin, X Ni, F Cricri, E Aksu 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018 | 116 | 2018 |
| Video ladder networks F Cricri, X Ni, M Honkala, E Aksu, M Gabbouj arXiv preprint arXiv:1612.01756, 2016 | 26 | 2016 |
| Adaptive l2 regularization in person re-identification X Ni, L Fang, H Huttunen 2020 25th International Conference on Pattern Recognition (ICPR), 9601-9607, 2021 | 15* | 2021 |
| Computer vision for head pose estimation: review of a competition H Huttunen, K Chen, A Thakur, A Krohn-Grimberghe, O Gencoglu, X Ni, ... Scandinavian conference on image analysis, 65-75, 2015 | 10 | 2015 |
| Block-optimized variable bit rate neural image compression C Aytekin, X Ni, F Cricri, J Lainema, E Aksu, M Hannuksela Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 9 | 2018 |
| Content-Specific Neural Network Distribution F Cricri, C Aytekin, EB Aksu, MS Tupala, NI Xingyang US Patent App. 15/948,304, 2019 | 8 | 2019 |
| Vehicle attribute recognition by appearance: computer vision methods for vehicle type, make and model classification X Ni, H Huttunen Journal of Signal Processing Systems 93 (4), 357-368, 2021 | 7 | 2021 |
| Reverse neural network for object re-identification F Cricrì, E Aksu, NI Xingyang US Patent 11,188,783, 2021 | 6 | 2021 |
| Privacy-aware edge computing system for people tracking J Yrjänäinen, X Ni, B Adhikari, H Huttunen 2020 IEEE International Conference on Image Processing (ICIP), 2096-2100, 2020 | 6 | 2020 |
| FlipReID: Closing the Gap Between Training and Inference in Person Re-Identification X Ni, E Rahtu 2021 9th European Workshop on Visual Information Processing (EUVIP), 1-6, 2021 | 3 | 2021 |
| Memory-efficient deep salient object segmentation networks on gridized superpixels C Aytekin, X Ni, F Cricri, L Fan, E Aksu 2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP …, 2018 | 2 | 2018 |
| An apparatus, a method and a computer program for video coding and decoding F Cricri, C Aytekin, M Hannuksela, NI Xingyang US Patent App. 17/430,893, 2022 | | 2022 |
| Towards Better Image Embeddings Using Neural Networks X Ni Tampere University, 2022 | | 2022 |
| Towards a Real-Time Facial Analysis System B Adhikari, X Ni, E Rahtu, H Huttunen arXiv preprint arXiv:2109.10393, 2021 | | 2021 |
| Method for analysing media content to generate reconstructed media content F Cricri, M Honkala, EB Aksu, NI Xingyang US Patent 11,068,722, 2021 | | 2021 |
| Method and apparatus for training a neural network used for denoising C Aytekin, F Cricri, NI Xingyang US Patent 11,062,210, 2021 | | 2021 |
| Method and an apparatus for evaluating generative machine learning model M Honkala, F Cricri, NI Xingyang US Patent 10,891,524, 2021 | | 2021 |
| Loop-closure detection by LiDAR scan re-identification J Peltomäki, X Ni, J Puura, JK Kämäräinen, H Huttunen 2020 25th International Conference on Pattern Recognition (ICPR), 9107-9114, 2021 | | 2021 |
| On the Importance of Encrypting Deep Features X Ni, H Huttunen, E Rahtu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | | 2021 |
| Competitions in Education: Case Study on Face Verification X Ni Tampere University of Technology, 2016 | | 2016 |
