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2020 – today
- 2024
[c44]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- [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) - 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
- [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) - [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 - [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
- [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 - [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
- [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 - [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)
2010 – 2019
- 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 - [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
- [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 - [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
- [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 - [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) - 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) - [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
- [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) - [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
2000 – 2009
- 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
Coauthor Index
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