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ORCIDHonglei Zhang 0001
Person information
- affiliation: Nokia Technologies, Tampere, Finland
- affiliation (PhD 2019): Tampere University of Technology, Finland
Other persons with the same name
- Honglei Zhang — disambiguation page
- Honglei Zhang 0002
![[0000-0002-3840-4815]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3840-4815")
— Beijing Jiaotong University, School of Computer Science and Technology, Beijing, China
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2020 – today
- 2024
[j3]Jukka I. Ahonen, Nam Le, Honglei Zhang, Antti Hallapuro, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu:
NN-VVC: A Hybrid Learned-Conventional Video Codec Targeting Humans and Machines. Int. J. Semantic Comput. 18(4): 689-712 (2024)- [c41]Honglei Zhang, Jukka I. Ahonen, Nam Le, Ruiying Yang, Francesco Cricri:
Competitive Learning For Achieving Content-Specific Filters In Video Coding For Machines. ICIP 2024: 1877-1882 - [c40]Jaakko Laitinen, Tero Partanen, Alexandre Mercat, Jarno Vanne, Miska M. Hannuksela, Honglei Zhang, Alireza Aminlou, Francesco Cricri:
Feasibility Study of Multi-Layer VVC Coding Scheme for Hybrid Machine-Human Consumption. ICME 2024: 1-6 - [c39]Tero Partanen, Alban Marie, Alexandre Mercat, Jarno Vanne, Miska M. Hannuksela, Honglei Zhang, Alireza Aminlou, Francesco Cricri:
Luma Range Scaling for Enhanced VVC Efficiency in Video Coding for Machines. MMSP 2024: 1-6 - [c38]Jill M. Boyce, Miska M. Hannuksela, Honglei Zhang, Antti Hallapuro:
Packed Regions Information SEI Message. VCIP 2024: 1-5 - [i13]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Bridging the gap between image coding for machines and humans. CoRR abs/2401.10732 (2024) - [i12]Jukka I. Ahonen, Nam Le, Honglei Zhang, Antti Hallapuro, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu:
NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines. CoRR abs/2401.10761 (2024) - [i11]Honglei Zhang, Jukka I. Ahonen, Nam Le, Ruiying Yang, Francesco Cricri:
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines. CoRR abs/2406.12367 (2024) - 2023
- [c37]Honglei Zhang, Nam Le, Francesco Cricri, Jukka I. Ahonen, Hamed Rezazadegan Tavakoli:
Stabilizing the Convolution Operations for Neural Network-Based Image and Video Codecs for Machines. ICME Workshops 2023: 170-175 - [c36]Jukka I. Ahonen, Nam Le, Honglei Zhang, Antti Hallapuro, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu:
NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines. ISM 2023: 10-19 - [c35]Jukka I. Ahonen, Nam Le, Honglei Zhang, Francesco Cricri, Esa Rahtu:
Region of Interest Enabled Learned Image Coding for Machines. MMSP 2023: 1-6 - [c34]Ruiying Yang, María Santamaría, Francesco Cricri, Honglei Zhang, Jani Lainema, Ramin Ghaznavi Youvalari, Miska M. Hannuksela, Tapio Elomaa:
Overfitting NN loop-filters in video coding. VCIP 2023: 1-5 - 2022
- [c33]María Santamaría, Ruiying Yang, Francesco Cricri, Honglei Zhang, Jani Lainema, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Miska M. Hannuksela:
Overfitting multiplier parameters for content-adaptive post-filtering in video coding. EUVIP 2022: 1-6 - [c32]Honglei Zhang, Francesco Cricri, Nannan Zou, Hamed R. Tavakoli, Miska M. Hannuksela:
Adaptive Multi-Scale Progressive Probability Model for Lossless Image Compression. ICIP 2022: 721-725 - [c31]Rangu Goutham, Homayun Afrabandpey, Francesco Cricri, Honglei Zhang, Emre Aksu, Miska M. Hannuksela, Hamed R. Tavakoli:
Stochastic Binary-Ternary Quantization for Communication Efficient Federated Computation. ICIP 2022: 2097-2101 - [c30]María Santamaría, Francesco Cricri, Jani Lainema, Ramin Ghaznavi Youvalari, Honglei Zhang, Miska M. Hannuksela:
Content-Adaptive Neural Network Post-Processing Filter with NNR-Coded Weight-Updates. ICIP 2022: 2251-2255 - [c29]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Bridging the Gap Between Image Coding for Machines and Humans. ICIP 2022: 3411-3415 - [c28]Peter Fasogbon, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Emre Aksu:
TMD: Transformed Mesh Decoder for Mesh Animation. ICPR 2022: 3829-3836 - [c27]Ruiying Yang, María Santamaría, Francesco Cricri, Honglei Zhang, Jani Lainema, Ramin Ghaznavi Youvalari, Miska M. Hannuksela:
Low-precision post-filtering in video coding. ISM 2022: 137-140 - [c26]Nannan Zou, Francesco Cricri, Honglei Zhang, Hamed R. Tavakoli, Miska M. Hannuksela, Esa Rahtu:
The Lottery Ticket Adaptation for Neural Video Coding. ISM 2022: 141-145 - [c25]Homayun Afrabandpey, Rangu Goutham, Honglei Zhang, Francesco Criri, Emre Aksu, Hamed R. Tavakoli:
On the Importance of Temporal Dependencies of Weight Updates in Communication Efficient Federated Learning. VCIP 2022: 1-5 - [i10]Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela:
Leveraging progressive model and overfitting for efficient learned image compression. CoRR abs/2210.04112 (2022) - 2021
- [c24]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Learned Video Compression With Intra-Guided Enhancement and Implicit Motion Information. CVPR Workshops 2021: 1870-1874 - [c23]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Esa Rahtu:
Image Coding For Machines: an End-To-End Learned Approach. ICASSP 2021: 1590-1594 - [c22]Homayun Afrabandpey, Anton Muravev, Hamed R. Tavakoli, Honglei Zhang, Francesco Cricri, Moncef Gabbouj, Emre Aksu:
Mind The Structure: Adopting Structural Information For Deep Neural Network Compression. ICIP 2021: 3532-3536 - [c21]Hamed R. Tavakoli, Joachim Wabnig, Francesco Cricri, Honglei Zhang, Emre Aksu, Iraj Saniee:
Hybrid Pruning And Sparsification. ICIP 2021: 3542-3546 - [c20]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu:
Learned Image Coding for Machines: A Content-Adaptive Approach. ICME 2021: 1-6 - [c19]María Santamaría, Yat-Hong Lam, Francesco Cricri, Jani Lainema, Ramin Ghaznavi Youvalari, Honglei Zhang, Miska M. Hannuksela, Esa Rahtu, Moncef Gabbouj:
Content-adaptive convolutional neural network post-processing filter. ISM 2021: 99-106 - [c18]Joni Seppälä, Honglei Zhang, Nam Le, Ramin Ghaznavi Youvalari, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Enhancing Image Coding for Machines with Compressed Feature Residuals. ISM 2021: 217-225 - [c17]Jukka I. Ahonen, Ramin Ghaznavi Youvalari, Nam Le, Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu:
Learned Enhancement Filters for Image Coding for Machines. ISM 2021: 235-239 - [c16]Nannan Zou, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Adaptation and Attention for Neural Video Coding. ISM 2021: 240-244 - [c15]Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, María Santamaría, Yat-Hong Lam, Miska M. Hannuksela:
Learn to overfit better: finding the important parameters for learned image compression. VCIP 2021: 1-5 - [i9]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu:
Learned Image Coding for Machines: A Content-Adaptive Approach. CoRR abs/2108.09992 (2021) - [i8]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Esa Rahtu:
Image coding for machines: an end-to-end learned approach. CoRR abs/2108.09993 (2021) - [i7]Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Nannan Zou, Emre Aksu, Miska M. Hannuksela:
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model. CoRR abs/2108.10551 (2021) - [i6]Nannan Zou, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Adaptation and Attention for Neural Video Coding. CoRR abs/2112.08767 (2021) - 2020
- [c14]Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Nannan Zou, Emre Aksu, Miska M. Hannuksela:
Lossless Image Compression Using a Multi-scale Progressive Statistical Model. ACCV (3) 2020: 609-622 - [c13]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
End-to-End Learning for Video Frame Compression with Self-Attention. CVPR Workshops 2020: 580-584 - [c12]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska M. Hannuksela, Emre Aksu, Esa Rahtu:
L2C - Learning to Learn to Compress. MMSP 2020: 1-6 - [i5]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
End-to-End Learning for Video Frame Compression with Self-Attention. CoRR abs/2004.09226 (2020) - [i4]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska M. Hannuksela, Emre Aksu, Esa Rahtu:
L2C - Learning to Learn to Compress. CoRR abs/2007.16054 (2020)
2010 – 2019
- 2019
- [b1]Honglei Zhang:
Graph Analysis and Applications in Clustering and Content-based Image Retrieval. University of Tampere, Finland, 2019 - [c11]Jussi Taipalmaa, Nikolaos Passalis, Honglei Zhang, Moncef Gabbouj, Jenni Raitoharju:
High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation. MLSP 2019: 1-6 - 2018
- [c10]Honglei Zhang, Moncef Gabbouj:
Feature Dimensionality Reduction with Graph Embedding and Generalized Hamming Distance. ICIP 2018: 1083-1087 - [c9]Lei Xu, Honglei Zhang, Jenni Raitoharju, Moncef Gabbouj:
Unsupervised Facial Image De-occlusion with Optimized Deep Generative Models. IPTA 2018: 1-6 - [c8]Honglei Zhang, Serkan Kiranyaz, Moncef Gabbouj:
Data Clustering Based on Community Structure in Mutual k-Nearest Neighbor Graph. TSP 2018: 1-7 - [i3]Honglei Zhang, Serkan Kiranyaz, Moncef Gabbouj:
Finding Better Topologies for Deep Convolutional Neural Networks by Evolution. CoRR abs/1809.03242 (2018) - 2017
- [j2]Honglei Zhang, Serkan Kiranyaz, Moncef Gabbouj:
Outlier edge detection using random graph generation models and applications. J. Big Data 4: 11 (2017) - [c7]Honglei Zhang, Serkan Kiranyaz, Moncef Gabbouj:
A k-nearest neighbor multilabel ranking algorithm with application to content-based image retrieval. ICASSP 2017: 2587-2591 - 2016
- [j1]Honglei Zhang, Jenni Raitoharju, Serkan Kiranyaz, Moncef Gabbouj:
Limited random walk algorithm for big graph data clustering. J. Big Data 3: 26 (2016) - [i2]Honglei Zhang, Serkan Kiranyaz, Moncef Gabbouj:
Outlier Edge Detection Using Random Graph Generation Models and Applications. CoRR abs/1606.06447 (2016) - [i1]Honglei Zhang, Jenni Raitoharju, Serkan Kiranyaz, Moncef Gabbouj:
Limited Random Walk Algorithm for Big Graph Data Clustering. CoRR abs/1606.06450 (2016) - 2014
- [c6]Honglei Zhang, Serkan Kiranyaz, Moncef Gabbouj:
Cardinal sparse partial least square feature selection and its application in face recognition. EUSIPCO 2014: 785-789 - [c5]Guanqun Cao, Iftikhar Ahmad, Honglei Zhang, Weiyi Xie, Moncef Gabbouj:
Balance learning to rank in big data. EUSIPCO 2014: 1422-1426 - [c4]Jenni Raitoharju, Honglei Zhang, Ezgi Can Ozan, Muhammad-Adeel Waris, Muhammad Faisal, Guanqun Cao, Mikko Roininen, Iftikhar Ahmad, Ranjeeth Shetty, Stefan Uhlmann, Kaveh Samiee, Serkan Kiranyaz, Moncef Gabbouj:
Tut MUVIS image retrieval system proposal for MSR-Bing challenge 2014. ICME Workshops 2014: 1-6 - 2013
- [c3]Muhammad-Adeel Waris, Honglei Zhang, Iftikhar Ahmad, Serkan Kiranyaz, Moncef Gabbouj:
Analysis of textural features for face biometric anti-spoofing. EUSIPCO 2013: 1-5 - [c2]Ivana Chingovska, J. Yang, Zhen Lei, Dong Yi, Stan Z. Li, Olga Kähm, Christian Glaser, Naser Damer, Arjan Kuijper, Alexander Nouak, Jukka Komulainen, Tiago Freitas Pereira, Shubham Gupta, Shubham Khandelwal, Shubham Bansal, Ayush K. Rai, Tarun Krishna, Dushyant Goyal, Muhammad-Adeel Waris, Honglei Zhang, Iftikhar Ahmad, Serkan Kiranyaz, Moncef Gabbouj, Roberto Tronci, Maurizio Pili, Nicola Sirena, Fabio Roli, Javier Galbally, Julian Fiérrez, Allan da Silva Pinto, Hélio Pedrini, W. S. Schwartz, Anderson Rocha, André Anjos, Sébastien Marcel:
The 2nd competition on counter measures to 2D face spoofing attacks. ICB 2013: 1-6 - [c1]Manuel Günther, Artur Costa-Pazo, Changxing Ding, Elhocine Boutellaa, Giovani Chiachia, Honglei Zhang, Marcus A. Angeloni, Vitomir Struc, Elie Khoury, Esteban Vázquez-Fernández, Dacheng Tao, Messaoud Bengherabi, David D. Cox, Serkan Kiranyaz, Tiago de Freitas Pereira, Jerneja Zganec-Gros, Enrique Argones-Rúa, Nicolas Pinto, Moncef Gabbouj, Flávio Olmos Simões, Simon Dobrisek, Daniel González-Jiménez, Anderson Rocha, Mário Uliani Neto, Nikola Pavesic, Alexandre Xavier Falcão, Ricardo P. V. Violato, Sébastien Marcel:
The 2013 face recognition evaluation in mobile environment. ICB 2013: 1-7
Coauthor Index
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