| Clustering and Unsupervised Anomaly Detection with l2Normalized Deep Auto-Encoder Representations C Aytekin, X Ni, F Cricri, E Aksu 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018 | 195 | 2018 |
| Object detection in equirectangular panorama W Yang, Y Qian, JK Kämäräinen, F Cricri, L Fan 2018 24th international conference on pattern recognition (icpr), 2190-2195, 2018 | 147 | 2018 |
| Image coding for machines: an end-to-end learned approach N Le, H Zhang, F Cricri, R Ghaznavi-Youvalari, E Rahtu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 115 | 2021 |
| Method and apparatus for video synthesis SS Mate, IDD Curcio, F Cricri, KN Dabov US Patent 8,874,538, 2014 | 74* | 2014 |
| Methods, apparatuses and computer program products for analyzing crowd source sensed data to determine information related to media content of media capturing devices SS Mate, IDD Curcio, F Cricri US Patent 9,363,488, 2016 | 62 | 2016 |
| Overview of the neural network compression and representation (NNR) standard H Kirchhoffer, P Haase, W Samek, K Müller, H Rezazadegan-Tavakoli, ... IEEE Transactions on Circuits and Systems for Video Technology 32 (5), 3203-3216, 2021 | 59 | 2021 |
| Learned image coding for machines: A content-adaptive approach N Le, H Zhang, F Cricri, R Ghaznavi-Youvalari, HR Tavakoli, E Rahtu 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 56 | 2021 |
| Method and apparatus for semantic extraction and video remix creation IDD Curcio, SS Mate, F Cricri, MJ Roininen, S Sathish US Patent 9,436,875, 2016 | 45 | 2016 |
| Method and apparatus for determining roles for media generation and compilation SS Mate, F Cricri, IDD Curcio US Patent 8,600,402, 2013 | 44 | 2013 |
| Reverse neural network for object re-identification F Cricrì, E Aksu, NI Xingyang US Patent 11,188,783, 2021 | 43 | 2021 |
| Method and apparatus for sensor aided extraction of spatio-temporal features IDD Curcio, SS Mate, F Cricri US Patent 9,471,993, 2016 | 42 | 2016 |
| We want more: human-computer collaboration in mobile social video remixing of music concerts S Vihavainen, S Mate, L Seppälä, F Cricri, IDD Curcio Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2011 | 39 | 2011 |
| Efficient adaptation of neural network filter for video compression YH Lam, A Zare, F Cricri, J Lainema, MM Hannuksela Proceedings of the 28th ACM International Conference on Multimedia, 358-366, 2020 | 37 | 2020 |
| Distributed audio capture and mixing A Eronen, J Leppanen, A Lehtiniemi, M Hamalainen, S Mate, F Cricri, ... US Patent 10,397,722, 2019 | 37 | 2019 |
| Video Ladder Networks F Cricri, X Ni, M Honkala, E Aksu, M Gabbouj arXiv preprint arXiv:1612.01756, 2016 | 34 | 2016 |
| Sport type classification of mobile videos F Cricri, MJ Roininen, J Leppänen, S Mate, IDD Curcio, S Uhlmann, ... IEEE Transactions on Multimedia 16 (4), 917-932, 2014 | 32 | 2014 |
| L2C – Learning to Learn to Compress N Zou, H Zhang, F Cricri, HR Tavakoli, J Lainema, M Hannuksela, E Aksu, ... 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP …, 2020 | 30 | 2020 |
| Method and an apparatus for evaluating generative machine learning model M Honkala, F Cricri, NI Xingyang US Patent 10,891,524, 2021 | 29 | 2021 |
| Depth masked discriminative correlation filter U Kart, JK Kämäräinen, J Matas, L Fan, F Cricri 2018 24th International Conference on Pattern Recognition (ICPR), 2112-2117, 2018 | 29 | 2018 |
| Lossless image compression using a multi-scale progressive statistical model H Zhang, F Cricri, HR Tavakoli, N Zou, E Aksu, MM Hannuksela Proceedings of the Asian Conference on Computer Vision, 2020 | 27 | 2020 |
Emre AksuResearch Leader, Nokia TechnologiesVerified email at nokia.com