Lifestyle understanding through the analysis of egocentric photo-streams
E. Talavera Martínez, PhD Thesis, Rijksuniversiteit Groningen, 158 p., 2020, Lifestyle understanding through the analysis of egocentric photo-streams, received the Bernoulli Institute Best PhD Thesis Award in Computer Science in 2020
Is image-based CAPTCHA secure against attacks based on machine learning? An experimental study
Fatmah H.Alqahtani and Fawaz A.Alsulaiman, Is image-based CAPTCHA secure against attacks based on machine learning? An experimental study, Computers & Security, Volume 88, January 2020, 101635
Semantic Segmentation of Cityscape and Waste Images Using Large Model Support - a Comparison between IBM Power AC922, NVIDIA DGX Station and AWS p3.8xlarge
G. Kostadinov and S. G. Nikolov, Semantic Segmentation of Cityscape and Waste Images Using Large Model Support - a Comparison between IBM Power AC922, NVIDIA DGX Station and AWS p3.8xlarge, presented at IBM Think London, 16 October 2019
Fairness in Proprietary Image Tagging Algorithms: A Cross-Platform Audit on People Images
K. Kyriakou, P. Barlas, S. Kleanthous, J Otterbacher, Fairness in Proprietary Image Tagging Algorithms: A Cross-Platform Audit on People Images, Proceedings of the International AAAI Conference on Web and Social Media, 13(01), p. 313-322, July 2019
Video Analysis with Image Recognition in TensorFlow
Av. Jha, Ash. Jha, A. Kushwaha, D. Aeloor, Video Analysis with Image Recognition in TensorFlow, International Journal of Computer Science and Mobile Computing (IJCSMC), Vol. 8, Issue. 4, p. 103–107, April 2019
Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification
A. Kubany, S. B. Ishay, R.-S. Ohayon, A. Shmilovici, L. Rokach, T. Doitshman, Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification, Submitted to Computer Vision and Pattern Recognition on 21 Mar 2019
GHio-Ca: An Android Application for Automatic Image Classification
D. Polonio, F. Tavella, M. Zanella, A. Bujari, GHio-Ca: An Android Application for Automatic Image Classification. In: Guidi B., Ricci L., Calafate C., Gaggi O., Marquez-Barja J. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 233. Springer, February 2018
A Picture is Worth a Thousand Words but how to Organize Thousands of Pictures?
S. Lonn, P. Radeva, M. Dimiccoli, A Picture is Worth a Thousand Words but how to Organize Thousands of Pictures?, Submitted to Computer Vision and Pattern Recognition on 15 Mar 2018
Using Convolutional Neural Networks for Real-Time Product Recognition in Smart Scales – Imagga’s Solution to the Kaufland Case
G. Kostadinov and S. G. Nikolov, Using Convolutional Neural Networks for Real-Time Product Recognition in Smart Scales – Imagga’s Solution to the Kaufland Case, Data Science Society Datathon 2018: The First Online Data Challenge, online publication, 11 February 2018
The Geo-Privacy Bonus of Popular Photo Enhancements
J. Choi, M. Larson, X. Li, K. Li, G. Friedland and A. Hanjalic A., The Geo-Privacy Bonus of Popular Photo Enhancements, Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, p. 84-92, June 2017
Studying Personality through the Content of Posted and Liked Images on Twitter
S. Ch. Guntuku, W. Lin, J. Carpenter, W. K. Ng, L. H. Ungar, D. Preoţiuc-Pietro, Studying Personality through the Content of Posted and Liked Images on Twitter, WebSci '17, Troy, New York, USA, June 25 - 28, 2017, Proceedings of the 2017 ACM on Web Science Conference, Pages 223-227
Towards Translation of Tags in Large Annotated Image Collections, AIMSA 2016 proceedings
O. Kanishcheva, G. Angelova, S. G. Nikolov, Towards Translation of Tags in Large Annotated Image Collections, AIMSA 2016 proceedings, September 2016, 140-150
Expansion of a CNN-based Image Classifier's Scope Using Transfer Learning and k-NN, IEEE Intelligent Systems IS’16 proceedings
G. Kadrev, G. Kostadinov, P. Ruskov, Expansion of a CNN-based Image Classifier's Scope Using Transfer Learning and k-NN, IEEE Intelligent Systems IS’16 proceedings, September 2016
SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation
M. Dimiccoli, M. Bolaños, E. Talavera, M. Aghaei, S. G. Nikolov, P. Radeva, SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation, to appear in the Computer Vision and Image Understanding journal, Elsevier, 2016
Social Media Image Analysis for Public Health
V. Rama, K. Garimella, A. Alfayad and I. Weber, Social Media Image Analysis for Public Health, to appear in the proceedings of the ACM CHI 2016 conference, San Jose, CA, USA, 7-12 May 2016
Fine-tuning SIMPLE based Content Based Image Retrieval system
Van-Hieu Vu, Hai-Son Le, O. Kanishcheva and G. Angelova, Fine-tuning SIMPLE based Content Based Image Retrieval system, Proceedings of the 6th International Symposium on Information and Communication Technology (SoICT 2015), 03-05 December 2015, Hue, Vietnam, ISBN: 978-1-4503-3843-1, Paper id: 36, 8 pages. doi>10.1145/2833258.2833273
About Emotion Identification in Visual Sentiment Analysis
O. Kanishcheva and G. Angelova, About Emotion Identification in Visual Sentiment Analysis, In: G. Angelova, K. Bontcheva, R. Mitkov (Еds.), Proceedings of the RANLP 2015 10th International Conference on "Recent Advances in Natural Language Processing", 7-9 September 2015, Hissar, Bulgaria, ISBN: 1313-8502, 258-265.
A Pipeline Approach to Image Auto-Tagging Refinement
O. Kanishcheva and G. Angelova, A Pipeline Approach to Image Auto-Tagging Refinement, Proceedings of the BCI’15 7th Balkan Conference in Informatics, 02-04 September 2015, Craiova, Romania, ISBN: 978-1-4503-3335-1, Paper id: 9, 8 pages. doi>10.1145/2801081.2801108
About Sense Disambiguation of Image Tag in Large Annotated Image Collections
O. Kanishcheva and G. Angelova. About Sense Disambiguation of Image Tag in Large Annotated Image Collections, to appear in the Proceedings of the International Conference Advanced Computing for Innovation – 2015, Sofia, Bulgaria 10-11 November 2015. Springer, Studies in Computational Intelligence (accepted)