Xingyang Ni

According to our database, Xingyang Ni authored at least 14 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Towards Better Image Embeddings Using Neural Networks.

Xingyang Ni

PhD thesis, 2022

2021

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

Xingyang Ni, Heikki Huttunen

J. Signal Process. Syst., 2021

Towards a Real-Time Facial Analysis System.

Bishwo Adhikari, Xingyang Ni, Esa Rahtu, Heikki Huttunen

Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

On the Importance of Encrypting Deep Features.

Xingyang Ni, Heikki Huttunen, Esa Rahtu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

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

Xingyang Ni, Esa Rahtu

Proceedings of the 9th European Workshop on Visual Information Processing, 2021

2020

AdaptiveReID: Adaptive L2 Regularization in Person Re-Identification.

Xingyang Ni, Liang Fang, Heikki Huttunen

CoRR, 2020

Loop-closure detection by LiDAR scan re-identification.

Jukka Peltomäki, Xingyang Ni, Jussi Puura, Joni-Kristian Kämäräinen, Heikki Huttunen

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Adaptive L2 Regularization in Person Re-Identification.

Xingyang Ni, Liang Fang, Heikki Huttunen

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Privacy-Aware Edge Computing System For People Tracking.

Jukka Yrjänäinen, Xingyang Ni, Bishwo Adhikari, Heikki Huttunen

Proceedings of the IEEE International Conference on Image Processing, 2020

2018

Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels.

Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu

Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018

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

Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Block-optimized Variable Bit Rate Neural Image Compression.

Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2016

Video Ladder Networks.

Francesco Cricri, Xingyang Ni, Mikko Honkala, Emre Aksu, Moncef Gabbouj

CoRR, 2016

2015

Computer Vision for Head Pose Estimation: Review of a Competition.

Heikki Huttunen, Ke Chen, Abhishek Thakur, Artus Krohn-Grimberghe, Oguzhan Gencoglu, Xingyang Ni, Mohammed Al-Musawi, Lei Xu, Hendrik Jacob van Veen

Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015