Publications

1. C. Florea, F. Gieseke ''Artistic Movement Recognition by Consensus of Boosted SVM Based Experts'' Journal of Visual Communication and Image Representation , [preprint] [official link].
   
   
2. M. Badea, C. Florea, L. Florea, C. Vertan ''Can We Teach Computers to Understand Art? Domain Adaptation for Enhancing Deep Networks Capacity to De-Abstract Art'' Image and Vision Computing Journal, Volume 77, September 2018, Pages 21-32 [preprint] [official link].
   
   
3. L. Florea, C. Florea, M.-S. Badea, "Recognizing Surreal Compositions in Digitized Paintings" in Communication 2016, 9-10 June 2016 Bucharest, 10.1109/ICComm.2016.7528331. [Official link]; [preprint]
   
   
4. C. Florea, R. Condorovici, C. Vertan, R. Boia, L. Florea, R. Vranceanu, "Pandora: Description of a Painting Database for Art Movement Recognition with Baselines and Perspectives", EUSIPCO 2016, Budapest, Hungary, [Official link] [preprint]
   
   
5. Laura Florea "Robustifying Gaze Direction Estimation for Emerging Psychology-Related Applications" CVPR workshop on WICV, 2016 Las Vegas SUA, [link] [preprint]
   
   
6. C. Florea, C. Toca, F. Gieske, "Artistic Movement Recognition by Boosted Fusion of Color Structure and Topographic Description" , WACV 2017 Santa Rosa California USA(~40%acceptance rate), pp. 569-577. [preprint]
   
   
7. C. Florea, M.S. Badea, L. Florea, C. Vertan, "Painting genre recognition by deep neural networks and domain transfer" SCIA 2017, Tromso, Norway, 2017, Image Analysis (LNCS, volume 10269) pp 337-349 [pdf]
   
   
8. B. Stoica, L. Florea, A. Badeanu, A. Racoviteanu, I. Felea and C. Florea, "Visual saliency analysis in paintings," IEEE ISSCS, Iasi, Romania, 2017, 4 pages doi: 10.1109/ISSCS.2017.8034906 [preprint]
   
   
9. M. Badea, C. Florea, L. Florea and C. Vertan, "Efficient domain adaptation for painting theme recognition," IEEE ISSCS, Iasi, Romania, 2017, 4 pages. doi: 10.1109/ISSCS.2017.8034907 [preprint]
   
   

1. M. Badea, C. Florea, "Visual Saliency Cues for Art Analysis", Recent Advances in Artificial Intelligence RAAI 2017, Bucuresti, Romania
   
   
2. O.- H. Barbu, I. Mohanu, L. Florea and D. Mohanu, "In-situ pigments characterization for image reconstruction of wall paintings of Amarasti wooden church", TECHNART 2017, Bilbao, Spain
   
   

1. C. Florea, L.Florea, R. Boia, A. Bandrabur, C. Vertan, "Pain Intensity Estimation by a Self-Taught Selection of Histograms of Topographical Features" Image and Vision Computing Journal, Vol. 56, 2016, Pages 13–27 [preprint]
   
   
2. A. Bandrabur, L Florea, C. Florea, M. Mancas, "Late fusion of facial dynamics for automatic expression recognition" , Turkish Journal of Electrical Engineering and Computer Science, (2017) 25: 2696 - 2707 DOI: 10.3906/elk-1607-113 [PDF]
   
   

1. C. Florea, M.S. Badea, L. Florea, C. Vertan, "Painting genre recognition by deep neural networks and domain transfer" 12 pg., submitted for evaluation, 2016 [pdf]