Analysis of textural features for face biometric anti-spoofing. - Muhammad-Adeel Waris; Honglei Zhang 001; Iftikhar Ahmad 001; Serkan Kiranyaz; Moncef Gabbouj (EUSIPCO, 2013)

The 2nd competition on counter measures to 2D face spoofing attacks. - Ivana Chingovska; J. Yang; Zhen Lei 001; Dong Yi; Stan Z. Li; Olga Kähm; Christian Glaser; Naser Damer; Arjan Kuijper; Alexander Nouak; Jukka Komulainen; Tiago Freitas Pereira; et al. (ICB, 2013)

The 2013 face recognition evaluation in mobile environment. - Manuel Günther; Artur Costa-Pazo; Changxing Ding; Elhocine Boutellaa; Giovani Chiachia; Honglei Zhang 001; Marcus A. Angeloni; Vitomir Struc; Elie Khoury 001; Esteban Vázquez-Fernández; Dacheng Tao; Messaoud Bengherabi; et al. (ICB, 2013)

Balance learning to rank in big data. - Guanqun Cao; Iftikhar Ahmad 001; Honglei Zhang 001; Weiyi Xie; Moncef Gabbouj (EUSIPCO, 2014)

Cardinal sparse partial least square feature selection and its application in face recognition. - Honglei Zhang 001; Serkan Kiranyaz; Moncef Gabbouj (EUSIPCO, 2014)

Tut MUVIS image retrieval system proposal for MSR-Bing challenge 2014. - Jenni Raitoharju; Honglei Zhang 001; Ezgi Can Ozan; Muhammad-Adeel Waris; Muhammad Faisal; Guanqun Cao; Mikko Roininen; Iftikhar Ahmad 001; Ranjeeth Shetty; Stefan Uhlmann; Kaveh Samiee; Serkan Kiranyaz; et al. (ICME Workshops, 2014)

Limited random walk algorithm for big graph data clustering. - Honglei Zhang 001; Jenni Raitoharju; Serkan Kiranyaz; Moncef Gabbouj (J. Big Data, 2016)

A k-nearest neighbor multilabel ranking algorithm with application to content-based image retrieval. - Honglei Zhang 001; Serkan Kiranyaz; Moncef Gabbouj (ICASSP, 2017)

Outlier edge detection using random graph generation models and applications. - Honglei Zhang 001; Serkan Kiranyaz; Moncef Gabbouj (J. Big Data, 2017)

Feature Dimensionality Reduction with Graph Embedding and Generalized Hamming Distance. - Honglei Zhang 001; Moncef Gabbouj (ICIP, 2018)

Unsupervised Facial Image De-occlusion with Optimized Deep Generative Models. - Lei Xu 036; Honglei Zhang 001; Jenni Raitoharju; Moncef Gabbouj (IPTA, 2018)

Data Clustering Based on Community Structure in Mutual k-Nearest Neighbor Graph. - Honglei Zhang 001; Serkan Kiranyaz; Moncef Gabbouj (TSP, 2018)

Finding Better Topologies for Deep Convolutional Neural Networks by Evolution. - Honglei Zhang 001; Serkan Kiranyaz; Moncef Gabbouj (CoRR, 2018)

High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation. - Jussi Taipalmaa; Nikolaos Passalis; Honglei Zhang 001; Moncef Gabbouj; Jenni Raitoharju (MLSP, 2019)

Graph Analysis and Applications in Clustering and Content-based Image Retrieval. - Honglei Zhang 001 (2019)

Lossless Image Compression Using a Multi-scale Progressive Statistical Model. - Honglei Zhang 001; Francesco Cricri; Hamed R. Tavakoli; Nannan Zou; Emre Aksu; Miska M. Hannuksela (ACCV (3), 2020)

End-to-End Learning for Video Frame Compression with Self-Attention. - Nannan Zou; Honglei Zhang 001; Francesco Cricri; Hamed R. Tavakoli; Jani Lainema; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (CVPR Workshops, 2020)

L2C - Learning to Learn to Compress. - Nannan Zou; Honglei Zhang 001; Francesco Cricri; Hamed R. Tavakoli; Jani Lainema; Miska M. Hannuksela; Emre Aksu; Esa Rahtu (MMSP, 2020)

Learned Video Compression With Intra-Guided Enhancement and Implicit Motion Information. - Nannan Zou; Honglei Zhang 001; Francesco Cricri; Hamed R. Tavakoli; Jani Lainema; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (CVPR Workshops, 2021)

Image Coding For Machines: an End-To-End Learned Approach. - Nam Le 003; Honglei Zhang 001; Francesco Cricri; Ramin Ghaznavi Youvalari; Esa Rahtu (ICASSP, 2021)

Mind The Structure: Adopting Structural Information For Deep Neural Network Compression. - Homayun Afrabandpey; Anton Muravev; Hamed R. Tavakoli; Honglei Zhang 001; Francesco Cricri; Moncef Gabbouj; Emre Aksu (ICIP, 2021)

Hybrid Pruning And Sparsification. - Hamed R. Tavakoli; Joachim Wabnig; Francesco Cricri; Honglei Zhang 001; Emre Aksu; Iraj Saniee (ICIP, 2021)

Learned Image Coding for Machines: A Content-Adaptive Approach. - Nam Le 003; Honglei Zhang 001; Francesco Cricri; Ramin Ghaznavi Youvalari; Hamed Rezazadegan Tavakoli; Esa Rahtu (ICME, 2021)

Learned Enhancement Filters for Image Coding for Machines. - Jukka I. Ahonen; Ramin Ghaznavi Youvalari; Nam Le 003; Honglei Zhang 001; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (ISM, 2021)

Content-adaptive convolutional neural network post-processing filter. - María Santamaría 001; Yat-Hong Lam; Francesco Cricri; Jani Lainema; Ramin Ghaznavi Youvalari; Honglei Zhang 001; Miska M. Hannuksela; Esa Rahtu; Moncef Gabbouj (ISM, 2021)

Enhancing Image Coding for Machines with Compressed Feature Residuals. - Joni Seppälä; Honglei Zhang 001; Nam Le 003; Ramin Ghaznavi Youvalari; Francesco Cricri; Hamed Rezazadegan Tavakoli; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (ISM, 2021)

Adaptation and Attention for Neural Video Coding. - Nannan Zou; Honglei Zhang 001; Francesco Cricri; Ramin Ghaznavi Youvalari; Hamed R. Tavakoli; Jani Lainema; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (ISM, 2021)

Learn to overfit better: finding the important parameters for learned image compression. - Honglei Zhang 001; Francesco Cricri; Hamed Rezazadegan Tavakoli; María Santamaría 001; Yat-Hong Lam; Miska M. Hannuksela (VCIP, 2021)

Overfitting multiplier parameters for content-adaptive post-filtering in video coding. - María Santamaría 001; Ruiying Yang; Francesco Cricri; Honglei Zhang 001; Jani Lainema; Ramin Ghaznavi Youvalari; Hamed R. Tavakoli; Miska M. Hannuksela (EUVIP, 2022)

Content-Adaptive Neural Network Post-Processing Filter with NNR-Coded Weight-Updates. - María Santamaría 001; Francesco Cricri; Jani Lainema; Ramin Ghaznavi Youvalari; Honglei Zhang 001; Miska M. Hannuksela (ICIP, 2022)

Bridging the Gap Between Image Coding for Machines and Humans. - Nam Le 003; Honglei Zhang 001; Francesco Cricri; Ramin Ghaznavi Youvalari; Hamed Rezazadegan Tavakoli; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (ICIP, 2022)

Stochastic Binary-Ternary Quantization for Communication Efficient Federated Computation. - Rangu Goutham; Homayun Afrabandpey; Francesco Cricri; Honglei Zhang 001; Emre Aksu; Miska M. Hannuksela; Hamed R. Tavakoli (ICIP, 2022)

Adaptive Multi-Scale Progressive Probability Model for Lossless Image Compression. - Honglei Zhang 001; Francesco Cricri; Nannan Zou; Hamed R. Tavakoli; Miska M. Hannuksela (ICIP, 2022)

TMD: Transformed Mesh Decoder for Mesh Animation. - Peter Fasogbon; Honglei Zhang 001; Francesco Cricri; Hamed R. Tavakoli; Emre Aksu (ICPR, 2022)

Low-precision post-filtering in video coding. - Ruiying Yang; María Santamaría 001; Francesco Cricri; Honglei Zhang 001; Jani Lainema; Ramin Ghaznavi Youvalari; Miska M. Hannuksela (ISM, 2022)

The Lottery Ticket Adaptation for Neural Video Coding. - Nannan Zou; Francesco Cricri; Honglei Zhang 001; Hamed R. Tavakoli; Miska M. Hannuksela; Esa Rahtu (ISM, 2022)

On the Importance of Temporal Dependencies of Weight Updates in Communication Efficient Federated Learning. - Homayun Afrabandpey; Rangu Goutham; Honglei Zhang 001; Francesco Criri; Emre Aksu; Hamed R. Tavakoli (VCIP, 2022)

Leveraging progressive model and overfitting for efficient learned image compression. - Honglei Zhang 001; Francesco Cricri; Hamed Rezazadegan Tavakoli; Emre Aksu; Miska M. Hannuksela (CoRR, 2022)

Stabilizing the Convolution Operations for Neural Network-Based Image and Video Codecs for Machines. - Honglei Zhang 001; Nam Le 003; Francesco Cricri; Jukka I. Ahonen; Hamed Rezazadegan Tavakoli (ICME Workshops, 2023)

NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines. - Jukka I. Ahonen; Nam Le 003; Honglei Zhang 001; Antti Hallapuro; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (ISM, 2023)

Region of Interest Enabled Learned Image Coding for Machines. - Jukka I. Ahonen; Nam Le 003; Honglei Zhang 001; Francesco Cricri; Esa Rahtu (MMSP, 2023)

Overfitting NN loop-filters in video coding. - Ruiying Yang; María Santamaría 001; Francesco Cricri; Honglei Zhang 001; Jani Lainema; Ramin Ghaznavi Youvalari; Miska M. Hannuksela; Tapio Elomaa (VCIP, 2023)

Competitive Learning For Achieving Content-Specific Filters In Video Coding For Machines. - Honglei Zhang 001; Jukka I. Ahonen; Nam Le 003; Ruiying Yang; Francesco Cricri (ICIP, 2024)

Feasibility Study of Multi-Layer VVC Coding Scheme for Hybrid Machine-Human Consumption. - Jaakko Laitinen; Tero Partanen; Alexandre Mercat; Jarno Vanne; Miska M. Hannuksela; Honglei Zhang 001; Alireza Aminlou; Francesco Cricri (ICME, 2024)

Luma Range Scaling for Enhanced VVC Efficiency in Video Coding for Machines. - Tero Partanen; Alban Marie; Alexandre Mercat; Jarno Vanne; Miska M. Hannuksela; Honglei Zhang 001; Alireza Aminlou; Francesco Cricri (MMSP, 2024)

Packed Regions Information SEI Message. - Jill M. Boyce; Miska M. Hannuksela; Honglei Zhang 001; Antti Hallapuro (VCIP, 2024)

NN-VVC: A Hybrid Learned-Conventional Video Codec Targeting Humans and Machines. - Jukka I. Ahonen; Nam Le 003; Honglei Zhang 001; Antti Hallapuro; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (Int. J. Semantic Comput., 2024)