Honglei Zhang

Orcid: 0000-0002-8229-852X

Affiliations:
  • Nokia Technologies, Tampere, Finland
  • Tampere University of Technology, Finland (PhD 2019)


According to our database1, Honglei Zhang authored at least 47 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
NN-VVC: A Hybrid Learned-Conventional Video Codec Targeting Humans and Machines.
Int. J. Semantic Comput., December, 2024

Packed Regions Information SEI Message.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

Luma Range Scaling for Enhanced VVC Efficiency in Video Coding for Machines.
Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

Feasibility Study of Multi-Layer VVC Coding Scheme for Hybrid Machine-Human Consumption.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Competitive Learning For Achieving Content-Specific Filters In Video Coding For Machines.
Proceedings of the IEEE International Conference on Image Processing, 2024

2023
Overfitting NN loop-filters in video coding.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Region of Interest Enabled Learned Image Coding for Machines.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines.
Proceedings of the IEEE International Symposium on Multimedia, 2023

Stabilizing the Convolution Operations for Neural Network-Based Image and Video Codecs for Machines.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

2022
Leveraging progressive model and overfitting for efficient learned image compression.
CoRR, 2022

On the Importance of Temporal Dependencies of Weight Updates in Communication Efficient Federated Learning.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

The Lottery Ticket Adaptation for Neural Video Coding.
Proceedings of the IEEE International Symposium on Multimedia, 2022

Low-precision post-filtering in video coding.
Proceedings of the IEEE International Symposium on Multimedia, 2022

TMD: Transformed Mesh Decoder for Mesh Animation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Adaptive Multi-Scale Progressive Probability Model for Lossless Image Compression.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Stochastic Binary-Ternary Quantization for Communication Efficient Federated Computation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Bridging the Gap Between Image Coding for Machines and Humans.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Content-Adaptive Neural Network Post-Processing Filter with NNR-Coded Weight-Updates.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Overfitting multiplier parameters for content-adaptive post-filtering in video coding.
Proceedings of the 10th European Workshop on Visual Information Processing, 2022

2021
Learn to overfit better: finding the important parameters for learned image compression.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Adaptation and Attention for Neural Video Coding.
Proceedings of the IEEE International Symposium on Multimedia, 2021

Enhancing Image Coding for Machines with Compressed Feature Residuals.
Proceedings of the IEEE International Symposium on Multimedia, 2021

Content-adaptive convolutional neural network post-processing filter.
Proceedings of the IEEE International Symposium on Multimedia, 2021

Learned Enhancement Filters for Image Coding for Machines.
Proceedings of the IEEE International Symposium on Multimedia, 2021

Learned Image Coding for Machines: A Content-Adaptive Approach.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Hybrid Pruning And Sparsification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Mind The Structure: Adopting Structural Information For Deep Neural Network Compression.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Image Coding For Machines: an End-To-End Learned Approach.
Proceedings of the IEEE International Conference on Acoustics, 2021

Learned Video Compression With Intra-Guided Enhancement and Implicit Motion Information.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
L<sup>2</sup>C - Learning to Learn to Compress.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

End-to-End Learning for Video Frame Compression with Self-Attention.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Lossless Image Compression Using a Multi-scale Progressive Statistical Model.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Graph Analysis and Applications in Clustering and Content-based Image Retrieval.
PhD thesis, 2019

High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018
Finding Better Topologies for Deep Convolutional Neural Networks by Evolution.
CoRR, 2018

Data Clustering Based on Community Structure in Mutual k-Nearest Neighbor Graph.
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Unsupervised Facial Image De-occlusion with Optimized Deep Generative Models.
Proceedings of the Eighth International Conference on Image Processing Theory, 2018

Feature Dimensionality Reduction with Graph Embedding and Generalized Hamming Distance.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Outlier edge detection using random graph generation models and applications.
J. Big Data, 2017

A k-nearest neighbor multilabel ranking algorithm with application to content-based image retrieval.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Limited random walk algorithm for big graph data clustering.
J. Big Data, 2016

2014
Tut MUVIS image retrieval system proposal for MSR-Bing challenge 2014.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

Cardinal sparse partial least square feature selection and its application in face recognition.
Proceedings of the 22nd European Signal Processing Conference, 2014

Balance learning to rank in big data.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013


Analysis of textural features for face biometric anti-spoofing.
Proceedings of the 21st European Signal Processing Conference, 2013


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