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ORCIDXingyang Ni
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2020 – today
- 2022
[b1]Xingyang Ni:
Towards Better Image Embeddings Using Neural Networks. University of Tampere, Finland, 2022- 2021
- [j1]Xingyang Ni
, Heikki Huttunen:
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification. J. Signal Process. Syst. 93(4): 357-368 (2021) - [c10]Xingyang Ni, Esa Rahtu:
FlipReID: Closing the Gap Between Training and Inference in Person Re-Identification. EUVIP 2021: 1-6 - [c9]Xingyang Ni, Heikki Huttunen, Esa Rahtu:
On the Importance of Encrypting Deep Features. ICCVW 2021: 4125-4132 - [c8]Bishwo Adhikari, Xingyang Ni, Esa Rahtu, Heikki Huttunen:
Towards a Real-Time Facial Analysis System. MMSP 2021: 1-6 - [i9]Xingyang Ni, Esa Rahtu:
FlipReID: Closing the Gap between Training and Inference in Person Re-Identification. CoRR abs/2105.05639 (2021) - [i8]Xingyang Ni, Heikki Huttunen, Esa Rahtu:
On the Importance of Encrypting Deep Features. CoRR abs/2108.07147 (2021) - [i7]Bishwo Adhikari, Xingyang Ni, Esa Rahtu, Heikki Huttunen:
Towards a Real-Time Facial Analysis System. CoRR abs/2109.10393 (2021) - 2020
- [c7]Jukka Yrjänäinen, Xingyang Ni, Bishwo Adhikari, Heikki Huttunen:
Privacy-Aware Edge Computing System For People Tracking. ICIP 2020: 2096-2100 - [c6]Jukka Peltomäki, Xingyang Ni, Jussi Puura, Joni-Kristian Kämäräinen, Heikki Huttunen:
Loop-closure detection by LiDAR scan re-identification. ICPR 2020: 9107-9114 - [c5]Xingyang Ni, Liang Fang, Heikki Huttunen:
Adaptive L2 Regularization in Person Re-Identification. ICPR 2020: 9601-9607 - [i6]Xingyang Ni, Heikki Huttunen:
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification. CoRR abs/2006.16400 (2020) - [i5]Xingyang Ni, Liang Fang, Heikki Huttunen:
AdaptiveReID: Adaptive L2 Regularization in Person Re-Identification. CoRR abs/2007.07875 (2020)
2010 – 2019
- 2018
- [c4]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela:
Block-optimized Variable Bit Rate Neural Image Compression. CVPR Workshops 2018: 2551-2554 - [c3]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu:
Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations. IJCNN 2018: 1-6 - [c2]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu:
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels. MMSP 2018: 1-6 - [i4]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu:
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations. CoRR abs/1802.00187 (2018) - [i3]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela:
Block-optimized Variable Bit Rate Neural Image Compression. CoRR abs/1805.10887 (2018) - 2017
- [i2]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu:
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels. CoRR abs/1712.09558 (2017) - 2016
- [i1]Francesco Cricri, Xingyang Ni, Mikko Honkala, Emre Aksu, Moncef Gabbouj:
Video Ladder Networks. CoRR abs/1612.01756 (2016) - 2015
- [c1]Heikki Huttunen, Ke Chen, Abhishek Thakur, Artus Krohn-Grimberghe, Oguzhan Gencoglu, Xingyang Ni, Mohammed Al-Musawi, Lei Xu, Hendrik Jacob van Veen:
Computer Vision for Head Pose Estimation: Review of a Competition. SCIA 2015: 65-75
Coauthor Index
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