Mobile and Interactive Social Television - A virtual TV room. - Francesco Cricri; Sujeet Mate; Igor D. D. Curcio; Moncef Gabbouj (WOWMOM, 2009)

We want more: human-computer collaboration in mobile social video remixing of music concerts. - Sami Vihavainen; Sujeet Mate; Lassi Seppälä; Francesco Cricri; Igor D. D. Curcio (CHI, 2011)

Multimodal Event Detection in User Generated Videos. - Francesco Cricri; Kostadin Dabov; Igor D. D. Curcio; Sujeet Mate; Moncef Gabbouj (ISM, 2011)

Sensor-Based Analysis of User Generated Video for Multi-camera Video Remixing. - Francesco Cricri; Igor D. D. Curcio; Sujeet Mate; Kostadin Dabov; Moncef Gabbouj (MMM, 2012)

Multimodal Semantics Extraction from User-Generated Videos. - Francesco Cricri; Kostadin Dabov; Mikko Roininen; Sujeet Mate; Igor D. D. Curcio; Moncef Gabbouj (Adv. Multim., 2012)

Multi-sensor fusion for sport genre classification of user generated mobile videos. - Francesco Cricri; Mikko Roininen; Sujeet Mate; Jussi Leppänen; Igor D. D. Curcio; Moncef Gabbouj (ICME, 2013)

Salient Event Detection in Basketball Mobile Videos. - Francesco Cricri; Sujeet Mate; Igor D. D. Curcio; Moncef Gabbouj (ISM, 2014)

Multimodal extraction of events and of information about the recording activity in user generated videos. - Francesco Cricri; Kostadin Dabov; Igor D. D. Curcio; Sujeet Mate; Moncef Gabbouj (Multim. Tools Appl., 2014)

Sport Type Classification of Mobile Videos. - Francesco Cricri; Mikko J. Roininen; Jussi Leppänen; Sujeet Mate; Igor D. D. Curcio; Stefan Uhlmann; Moncef Gabbouj (IEEE Trans. Multim., 2014)

Video Ladder Networks. - Francesco Cricri; Xingyang Ni; Mikko Honkala; Emre Aksu; Moncef Gabbouj (CoRR, 2016)

Mobile Devices and Professional Equipment Synergies for Sport Summary Production. - Sujeet Mate; Igor D. D. Curcio; Ranjeeth Shetty; Francesco Cricri (TVX (Adjunct), 2017)

Block-optimized Variable Bit Rate Neural Image Compression. - Çaglar Aytekin; Xingyang Ni; Francesco Cricri; Jani Lainema; Emre Aksu; Miska M. Hannuksela (CVPR Workshops, 2018)

Saliency Enhanced Robust Visual Tracking. - Çaglar Aytekin; Francesco Cricri; Emre Aksu (EUVIP, 2018)

Depth Masked Discriminative Correlation Filter. - Ugur Kart; Joni-Kristian Kamarainen; Jiri Matas; Lixin Fan; Francesco Cricri (ICPR, 2018)

Object Detection in Equirectangular Panorama. - Wenyan Yang; Yanlin Qian; Joni-Kristian Kamarainen; Francesco Cricri; Lixin Fan (ICPR, 2018)

Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations. - Çaglar Aytekin; Xingyang Ni; Francesco Cricri; Emre Aksu (IJCNN, 2018)

Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels. - Çaglar Aytekin; Xingyang Ni; Francesco Cricri; Lixin Fan; Emre Aksu (MMSP, 2018)

A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure. - Çaglar Aytekin; Francesco Cricri; Lixin Fan; Emre Aksu (CoRR, 2018)

A Compression Objective and a Cycle Loss for Neural Image Compression. - Çaglar Aytekin; Francesco Cricri; Antti Hallapuro; Jani Lainema; Emre Aksu; Miska M. Hannuksela (CVPR Workshops, 2019)

Compressing Weight-updates for Image Artifacts Removal Neural Networks. - Yat Hong Lam; Alireza Zare; Çaglar Aytekin; Francesco Cricri; Jani Lainema; Emre Aksu; Miska M. Hannuksela (CVPR Workshops, 2019)

Approximating Binarization in Neural Networks. - Çaglar Aytekin; Francesco Cricri; Jani Lainema; Emre Aksu; Miska M. Hannuksela (IJCNN, 2019)

Compressibility Loss for Neural Network Weights. - Çaglar Aytekin; Francesco Cricri; Emre Aksu (CoRR, 2019)

Lossless Image Compression Using a Multi-scale Progressive Statistical Model. - Honglei Zhang; 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; Francesco Cricri; Hamed R. Tavakoli; Jani Lainema; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (CVPR Workshops, 2020)

Efficient Adaptation of Neural Network Filter for Video Compression. - Yat Hong Lam; Alireza Zare; Francesco Cricri; Jani Lainema; Miska M. Hannuksela (ACM Multimedia, 2020)

L2C - Learning to Learn to Compress. - Nannan Zou; Honglei Zhang; 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; 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; 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; Francesco Cricri; Moncef Gabbouj; Emre Aksu (ICIP, 2021)

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

Learned Image Coding for Machines: A Content-Adaptive Approach. - Nam Le 003; Honglei Zhang; 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; 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; Miska M. Hannuksela; Esa Rahtu; Moncef Gabbouj (ISM, 2021)

Enhancing Image Coding for Machines with Compressed Feature Residuals. - Joni Seppälä; Honglei Zhang; 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; 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; 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; 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; Miska M. Hannuksela (ICIP, 2022)

Bridging the Gap Between Image Coding for Machines and Humans. - Nam Le 003; Honglei Zhang; 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; Emre Aksu; Miska M. Hannuksela; Hamed R. Tavakoli (ICIP, 2022)

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

Efficient Topology Coding and Payload Partitioning Techniques for Neural Network Compression (NNC) Standard. - Jaakko Laitinen; Alexandre Mercat; Jarno Vanne; Hamed Rezazadegan Tavakoli; Francesco Cricri; Emre Aksu; Miska M. Hannuksela (ICME Workshops, 2022)

TMD: Transformed Mesh Decoder for Mesh Animation. - Peter Fasogbon; Honglei Zhang; 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; Jani Lainema; Ramin Ghaznavi Youvalari; Miska M. Hannuksela (ISM, 2022)

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

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

Overview of the Neural Network Compression and Representation (NNR) Standard. - Heiner Kirchhoffer; Paul Haase; Wojciech Samek; Karsten Müller 001; Hamed Rezazadegan Tavakoli; Francesco Cricri; Emre B. Aksu; Miska M. Hannuksela; Wei Jiang 001; Wei Wang 311; Shan Liu 001; Swayambhoo Jain; et al. (IEEE Trans. Circuits Syst. Video Technol., 2022)

Stabilizing the Convolution Operations for Neural Network-Based Image and Video Codecs for Machines. - Honglei Zhang; 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; 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; Francesco Cricri; Esa Rahtu (MMSP, 2023)

Overfitting NN loop-filters in video coding. - Ruiying Yang; María Santamaría 001; Francesco Cricri; Honglei Zhang; 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; 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; 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; Alireza Aminlou; Francesco Cricri (MMSP, 2024)

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