default search action
Francesco Cricri
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2022
- [j4]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): 3203-3216 (2022) - 2014
- [j3]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): 119-158 (2014) - [j2]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): 917-932 (2014) - 2012
- [j1]Francesco Cricri, Kostadin Dabov, Mikko Roininen, Sujeet Mate, Igor D. D. Curcio, Moncef Gabbouj:
Multimodal Semantics Extraction from User-Generated Videos. Adv. Multim. 2012: 292064:1-292064:17 (2012)
Conference and Workshop Papers
- 2024
- [c45]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 - [c44]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 - 2023
- [c43]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 - [c42]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 - [c41]Jukka I. Ahonen, Nam Le, Honglei Zhang, Francesco Cricri, Esa Rahtu:
Region of Interest Enabled Learned Image Coding for Machines. MMSP 2023: 1-6 - [c40]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
- [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]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 - [c34]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: 1-4 - [c33]Peter Fasogbon, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Emre Aksu:
TMD: Transformed Mesh Decoder for Mesh Animation. ICPR 2022: 3829-3836 - [c32]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 - [c31]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 - 2021
- [c30]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 - [c29]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 - [c28]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 - [c27]Hamed R. Tavakoli, Joachim Wabnig, Francesco Cricri, Honglei Zhang, Emre Aksu, Iraj Saniee:
Hybrid Pruning And Sparsification. ICIP 2021: 3542-3546 - [c26]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 - [c25]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 - [c24]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 - [c23]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 - [c22]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 - [c21]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 - 2020
- [c20]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 - [c19]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 - [c18]Yat Hong Lam, Alireza Zare, Francesco Cricri, Jani Lainema, Miska M. Hannuksela:
Efficient Adaptation of Neural Network Filter for Video Compression. ACM Multimedia 2020: 358-366 - [c17]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 - 2019
- [c16]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: 0 - [c15]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: 0 - [c14]Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela:
Approximating Binarization in Neural Networks. IJCNN 2019: 1-5 - 2018
- [c13]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela:
Block-optimized Variable Bit Rate Neural Image Compression. CVPR Workshops 2018: 2551-2554 - [c12]Çaglar Aytekin, Francesco Cricri, Emre Aksu:
Saliency Enhanced Robust Visual Tracking. EUVIP 2018: 1-5 - [c11]Ugur Kart, Joni-Kristian Kamarainen, Jiri Matas, Lixin Fan, Francesco Cricri:
Depth Masked Discriminative Correlation Filter. ICPR 2018: 2112-2117 - [c10]Wenyan Yang, Yanlin Qian, Joni-Kristian Kamarainen, Francesco Cricri, Lixin Fan:
Object Detection in Equirectangular Panorama. ICPR 2018: 2190-2195 - [c9]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu:
Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations. IJCNN 2018: 1-6 - [c8]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu:
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels. MMSP 2018: 1-6 - 2017
- [c7]Sujeet Mate, Igor D. D. Curcio, Ranjeeth Shetty, Francesco Cricri:
Mobile Devices and Professional Equipment Synergies for Sport Summary Production. TVX (Adjunct) 2017: 45-50 - 2014
- [c6]Francesco Cricri, Sujeet Mate, Igor D. D. Curcio, Moncef Gabbouj:
Salient Event Detection in Basketball Mobile Videos. ISM 2014: 63-70 - 2013
- [c5]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: 1-6 - 2012
- [c4]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: 255-265 - 2011
- [c3]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: 287-296 - [c2]Francesco Cricri, Kostadin Dabov, Igor D. D. Curcio, Sujeet Mate, Moncef Gabbouj:
Multimodal Event Detection in User Generated Videos. ISM 2011: 263-270 - 2009
- [c1]Francesco Cricri, Sujeet Mate, Igor D. D. Curcio, Moncef Gabbouj:
Mobile and Interactive Social Television - A virtual TV room. WOWMOM 2009: 1-8
Informal and Other Publications
- 2024
- [i22]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) - [i21]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) - [i20]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) - 2022
- [i19]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
- [i18]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) - [i17]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) - [i16]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) - [i15]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
- [i14]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) - [i13]Yat Hong Lam, Alireza Zare, Francesco Cricri, Jani Lainema, Miska M. Hannuksela:
Efficient adaptation of neural network filter for video compression. CoRR abs/2007.14267 (2020) - [i12]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) - 2019
- [i11]Çaglar Aytekin, Francesco Cricri, Emre Aksu:
Compressibility Loss for Neural Network Weights. CoRR abs/1905.01044 (2019) - [i10]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 abs/1905.04079 (2019) - [i9]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 abs/1905.10371 (2019) - 2018
- [i8]Çaglar Aytekin, Francesco Cricri, Lixin Fan, Emre Aksu:
A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure. CoRR abs/1801.07889 (2018) - [i7]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu:
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations. CoRR abs/1802.00187 (2018) - [i6]Çaglar Aytekin, Francesco Cricri, Emre Aksu:
Saliency-Enhanced Robust Visual Tracking. CoRR abs/1802.02783 (2018) - [i5]Ugur Kart, Joni-Kristian Kämäräinen, Jiri Matas, Lixin Fan, Francesco Cricri:
Depth Masked Discriminative Correlation Filter. CoRR abs/1802.09227 (2018) - [i4]Wenyan Yang, Yanlin Qian, Francesco Cricri, Lixin Fan, Joni-Kristian Kamarainen:
Object Detection in Equirectangular Panorama. CoRR abs/1805.08009 (2018) - [i3]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela:
Block-optimized Variable Bit Rate Neural Image Compression. CoRR abs/1805.10887 (2018) - 2017
- [i2]Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu:
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels. CoRR abs/1712.09558 (2017) - 2016
- [i1]Francesco Cricri, Xingyang Ni, Mikko Honkala, Emre Aksu, Moncef Gabbouj:
Video Ladder Networks. CoRR abs/1612.01756 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-27 21:20 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint