Xingyang Ni

Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification

H. Huttunen, Xingyang Ni, 2020, Journal of Signal Processing Systems.

Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations

Francesco Cricri, Emre Aksu, Xingyang Ni, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Adaptive L2 Regularization in Person Re-Identification

H. Huttunen, Xingyang Ni, Liang Fang, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Privacy-Aware Edge Computing System For People Tracking

Xingyang Ni, Heikki Huttunen, Jukka Yrjänäinen, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

On the Importance of Encrypting Deep Features

Heikki Huttunen, Xingyang Ni, Esa Rahtu, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Block-optimized Variable Bit Rate Neural Image Compression

Miska M. Hannuksela, Jani Lainema, Francesco Cricri, 2018, CVPR Workshops.

Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification

Xingyang Ni, Heikki Huttunen, H. Huttunen, 2020, J. Signal Process. Syst..

Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels

Lixin Fan, Francesco Cricri, Emre Aksu, 2017, 2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP).

Loop-closure detection by LiDAR scan re-identification

Joni-Kristian Kämäräinen, Heikki Huttunen, Xingyang Ni, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

FlipReID: Closing the Gap Between Training and Inference in Person Re-Identification

Esa Rahtu, Xingyang Ni, Esa Rahtu, 2021, 2021 9th European Workshop on Visual Information Processing (EUVIP).