Francesco Cricri

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 60

Top Topics

Top Venues

Publications

Honglei Zhang, Jukka I. Ahonen, Nam Le, Ruiying Yang, Francesco Cricri
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines. CoRR (2024)
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 (2024)
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 (2024)
Jukka I. Ahonen, Nam Le, Honglei Zhang, Francesco Cricri, Esa Rahtu
Region of Interest Enabled Learned Image Coding for Machines. MMSP (2023)
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)
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)
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)
Heiner Kirchhoffer, Paul Haase, Wojciech Samek, Karsten Müller, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre B. Aksu, Miska M. Hannuksela, Wei Jiang, Wei Wang, Shan Liu, Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé, Werner Bailer
Overview of the Neural Network Compression and Representation (NNR) Standard. IEEE Trans. Circuits Syst. Video Technol. 32 (5) (2022)
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)
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)
Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela
Leveraging progressive model and overfitting for efficient learned image compression. CoRR (2022)
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)
Nannan Zou, Francesco Cricri, Honglei Zhang, Hamed R. Tavakoli, Miska M. Hannuksela, Esa Rahtu
The Lottery Ticket Adaptation for Neural Video Coding. ISM (2022)
Peter Fasogbon, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Emre Aksu
TMD: Transformed Mesh Decoder for Mesh Animation. ICPR (2022)
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)
Honglei Zhang, Francesco Cricri, Nannan Zou, Hamed R. Tavakoli, Miska M. Hannuksela
Adaptive Multi-Scale Progressive Probability Model for Lossless Image Compression. ICIP (2022)
Jaakko Laitinen, Alexandre Mercat, Jarno Vanne, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre Aksu, Miska M. Hannuksela
Efficient Topology Coding and Payload Partitioning Techniques for Neural Network Compression (NNC) Standard. ICME Workshops (2022)
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)
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Esa Rahtu
Image Coding For Machines: an End-To-End Learned Approach. ICASSP (2021)
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 (2021)
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu
Learned Image Coding for Machines: A Content-Adaptive Approach. CoRR (2021)
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)
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)
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)
María Santamaría, Yat-Hong Lam, Francesco Cricri, Jani Lainema, Ramin G. Youvalari, Honglei Zhang, Miska M. Hannuksela, Esa Rahtu, Moncef Gaubbuj
Content-adaptive convolutional neural network post-processing filter. ISM (2021)
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)
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 (2021)
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)
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Esa Rahtu
Image coding for machines: an end-to-end learned approach. CoRR (2021)
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)
Hamed R. Tavakoli, Joachim Wabnig, Francesco Cricri, Honglei Zhang, Emre Aksu, Iraj Saniee
Hybrid Pruning And Sparsification. ICIP (2021)
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)
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)
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 (2020)
Yat Hong Lam, Alireza Zare, Francesco Cricri, Jani Lainema, Miska M. Hannuksela
Efficient Adaptation of Neural Network Filter for Video Compression. ACM Multimedia (2020)
Yat Hong Lam, Alireza Zare, Francesco Cricri, Jani Lainema, Miska M. Hannuksela
Efficient adaptation of neural network filter for video compression. CoRR (2020)
Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska M. Hannuksela, Emre Aksu, Esa Rahtu
C - Learning to Learn to Compress. CoRR (2020)
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)
Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska M. Hannuksela, Emre Aksu, Esa Rahtu
C - Learning to Learn to Compress. MMSP (2020)
Çaglar Aytekin, Francesco Cricri, Antti Hallapuro, Jani Lainema, Emre Aksu, Miska M. Hannuksela
A Compression Objective and a Cycle Loss for Neural Image Compression. CVPR Workshops (2019)
Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela
Approximating Binarization in Neural Networks. IJCNN (2019)
Çaglar Aytekin, Francesco Cricri, Antti Hallapuro, Jani Lainema, Emre Aksu, Miska M. Hannuksela
A Compression Objective and a Cycle Loss for Neural Image Compression. CoRR (2019)
Çaglar Aytekin, Francesco Cricri, Emre Aksu
Compressibility Loss for Neural Network Weights. CoRR (2019)
Yat Hong Lam, Alireza Zare, Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela
Compressing Weight-updates for Image Artifacts Removal Neural Networks. CoRR (2019)
Yat Hong Lam, Alireza Zare, Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela
Compressing Weight-updates for Image Artifacts Removal Neural Networks. CVPR Workshops (2019)
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations. CoRR (2018)
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela
Block-optimized Variable Bit Rate Neural Image Compression. CoRR (2018)
Çaglar Aytekin, Francesco Cricri, Emre Aksu
Saliency Enhanced Robust Visual Tracking. EUVIP (2018)
Wenyan Yang, Yanlin Qian, Joni-Kristian Kamarainen, Francesco Cricri, Lixin Fan
Object Detection in Equirectangular Panorama. ICPR (2018)
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu
Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations. IJCNN (2018)
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels. MMSP (2018)
Ugur Kart, Joni-Kristian Kämäräinen, Jiri Matas, Lixin Fan, Francesco Cricri
Depth Masked Discriminative Correlation Filter. CoRR (2018)
Ugur Kart, Joni-Kristian Kamarainen, Jiri Matas, Lixin Fan, Francesco Cricri
Depth Masked Discriminative Correlation Filter. ICPR (2018)
Wenyan Yang, Yanlin Qian, Francesco Cricri, Lixin Fan, Joni-Kristian Kamarainen
Object Detection in Equirectangular Panorama. CoRR (2018)
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela
Block-optimized Variable Bit Rate Neural Image Compression. CVPR Workshops (2018)
Çaglar Aytekin, Francesco Cricri, Emre Aksu
Saliency-Enhanced Robust Visual Tracking. CoRR (2018)
Çaglar Aytekin, Francesco Cricri, Lixin Fan, Emre Aksu
A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure. CoRR (2018)
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels. CoRR (2017)
Sujeet Mate, Igor D. D. Curcio, Ranjeeth Shetty, Francesco Cricri
Mobile Devices and Professional Equipment Synergies for Sport Summary Production. TVX (Adjunct) (2017)
Francesco Cricri, Xingyang Ni, Mikko Honkala, Emre Aksu, Moncef Gabbouj
Video Ladder Networks. CoRR (2016)
Francesco Cricri, Kostadin Dabov, Igor D. D. Curcio, Sujeet Mate, Moncef Gabbouj
Multimodal extraction of events and of information about the recording activity in user generated videos. Multim. Tools Appl. 70 (1) (2014)
Francesco Cricri, Mikko J. Roininen, Jussi Leppänen, Sujeet Mate, Igor D. D. Curcio, Stefan Uhlmann, Moncef Gabbouj
Sport Type Classification of Mobile Videos. IEEE Trans. Multim. 16 (4) (2014)
Francesco Cricri, Sujeet Mate, Igor D. D. Curcio, Moncef Gabbouj
Salient Event Detection in Basketball Mobile Videos. ISM (2014)
Francesco Cricri, Mikko Roininen, Sujeet Mate, Jussi Leppänen, Igor D. D. Curcio, Moncef Gabbouj
Multi-sensor fusion for sport genre classification of user generated mobile videos. ICME (2013)
Francesco Cricri, Igor D. D. Curcio, Sujeet Mate, Kostadin Dabov, Moncef Gabbouj
Sensor-Based Analysis of User Generated Video for Multi-camera Video Remixing. MMM (2012)
Francesco Cricri, Kostadin Dabov, Mikko Roininen, Sujeet Mate, Igor D. D. Curcio, Moncef Gabbouj
Multimodal Semantics Extraction from User-Generated Videos. Adv. Multim. 2012 (2012)
Sami Vihavainen, Sujeet Mate, Lassi Seppälä, Francesco Cricri, Igor D. D. Curcio
We want more: human-computer collaboration in mobile social video remixing of music concerts. CHI (2011)
Francesco Cricri, Kostadin Dabov, Igor D. D. Curcio, Sujeet Mate, Moncef Gabbouj
Multimodal Event Detection in User Generated Videos. ISM (2011)
Francesco Cricri, Sujeet Mate, Igor D. D. Curcio, Moncef Gabbouj
Mobile and Interactive Social Television - A virtual TV room. WOWMOM (2009)