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Xingyang Ni
Xingyang Ni
Doctoral Researcher, Tampere University
Verified email at tuni.fi - Homepage
Title
Cited by
Cited by
Year
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
1162018
Video ladder networks
F Cricri, X Ni, M Honkala, E Aksu, M Gabbouj
arXiv preprint arXiv:1612.01756, 2016
262016
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
102015
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
92018
Content-Specific Neural Network Distribution
F Cricri, C Aytekin, EB Aksu, MS Tupala, NI Xingyang
US Patent App. 15/948,304, 2019
82019
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
72021
Reverse neural network for object re-identification
F Cricrì, E Aksu, NI Xingyang
US Patent 11,188,783, 2021
62021
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
62020
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
32021
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
22018
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
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