Publications

International Scientific Journals

  1. McCann, J., Vonikakis, V. (2018). Calculating Retinal Contrast from Scene Content: A Program. Frontiers in Psychology, 8, article 2079.

  2. Vonikakis, V., Subramanian, R., Arnfred, J., & Winkler, S. (2017). A Probabilistic Approach to People-Centric Photo Selection and Sequencing. IEEE Transactions in Multimedia, 19(11), 2609-2624.

  3. Vonikakis, V., Kouskouridas, R., & Gasteratos, A. (2017). On the evaluation of illumination compensation algorithms. Multimedia Tools and Applications. DOI: 10.1007/s11042-017-4783-x.

  4. Vonikakis, V., Chrysostomou, D., Kouskouridas, R., & Gasteratos, A. (2013). A biologically inspired scale-space for illumination invariant feature detection. Measurement Science and Technology, 24(7), p. 074024 (13pp).

  5. Konstantinidis, K., Vonikakis, V., Panitsidis, G., & Andreadis, I. (2011). A Center-Surround Histogram for Content Based Image Retrieval. Pattern Analysis and Applications, 14(3), 251-260.

  6. Vonikakis, V., Andreadis, I., & Papamarkos, N. (2011). Robustdocument binarization with OFF center-surround cells. Pattern Analysis and Applications, 14(3), 219-234.

  7. Iakovidou, C., Vonikakis, V., & Andreadis, I. (2008). FPGA implementation of a real-time biologically inspired image enhancement algorithm. Journal of Real-Time Image Processing, 3(4), 269-287.

  8. Vonikakis, V., Andreadis, I., & Gasteratos, A. (2008). Fast centre-surround contrast modification. IET Image processing 2(1), 19-34. Received the "IET Image Processing Premium" award 2009

  9. Vonikakis, V., Gasteratos, A., & Andreadis, I. (2006). Enhancement of Perceptually Salient Contours using a Parallel ArtificialCortical Network. Biological Cybernetics, 94(3), 192-214.

International Scientific Conferences

  1. V. Vonikakis, S. Winkler. (2020). Identity Invariant Facial Landmark Frontalization for Facial Expression Analysis. Proc. ICIP2020, Abu Dhabi, October 2020.

  2. Vonikakis, V., Yazici, Y., V. D. Nguyen, Winkler, S. (2016). Group Happiness Assessment Using Geometric Features and Dataset Balancing. Proc. ICMI2016, Tokyo, Japan, Nov. 9-13. 2nd Place in EmotiW2016 Group Happiness Challenge. (Matlab code available)

  3. Vonikakis, V., Subramanian, R., Winkler, S. (2016). Shaping datasets: Optimal data selection for specific target distributions across dimensions. Proc. IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, Sept. 25-28. (Matlab code available here)

  4. Vonikakis, V., Winkler, S. (2016). A center-surround framework for spatial image processing. Proc. IS&T Human Vision & Electronic Imaging, (Retinex020), San Francisco, CA, Feb. 14-18.

  5. H.-W. Ng, V. D. Nguyen, V. Vonikakis, S. Winkler. (2015). Deep learning for emotion recognition on small datasets using transfer learning. Proc. ICMI2015, Seattle, WA, Nov. 9-13. 3rd Place in EmotiW2015 Challenge. (Caffe models available)

  6. Anoop K. R., R. Subramanian, V. Vonikakis, K. R. Ramakrishnan, S. Winkler. (2015). On the utility of canonical correlation analysis for domain adaptation in multi-view headpose estimation. Proc. ICIP2015, Québec City, Canada, Sept. 27-30.

  7. Vonikakis, V., Subramanian, R., Arnfred, J., Winkler, S. (2014). Modeling image appeal based on crowd preferences for automated person-centric collage creation. CrowdMM 2014. (pp.9-15). Orlando, USA.

  8. Savoy, F., Vonikakis, V., Winkler, S., Süsstrunk, S. (2014). Badly exposed object recovery using images captured under disparate conditions. Proc. IS&T/SPIE Digital Photography X, vol. 9023, San Francisco, CA, Feb. 2-6.

  9. Vonikakis, V., Jinda-Apiraksa, A., & Winkler, S. (2014). PhotoCluster:A Multi-clustering Technique For Near-duplicate Detection In Personal PhotoCollections. VISAPP 2014. (pp. 153-161). Lisbon, Portugal.

  10. Vonikakis, V., Kouskouridas, R., & Gasteratos, A. (2013). A comparison framework for the evaluation of illumination compensationalgorithms. IEEE International Conference on Imaging Systems and Techniques (IST 2013). (pp. 264-268). Beijing, China.

  11. McCann, J., Vonikakis, V., Bonanomi, C. & Rizzi, A. (2013). Chromaticity limits in color constancy calculations. Proc. 21st IS&T Color and Imaging Conference (CIC2013). (pp. 52-60). Albuquerque, NM, USA.

  12. Vonikakis, V., Subramanian, R., Winkler, S. (2013). How Do Users Make a People-Centric Slideshow? CrowdMM 2013. (pp.13-14). Barcelona, Spain.

  13. Jinda-Apiraksa, A., Vonikakis, V. & Winkler, S. (2013). California-ND: An annotated dataset for near-duplicate detection in personal photo collections. QoMEX 2013. (pp. 142-147). Klagenfurt, Austria. (Dataset available)

  14. Vonikakis, V., Winkler, S. (2012). Emotion-Based Sequence of Family Photos. ACM MM 2012. (pp.1371-1372). Nara, Japan. 2nd Place in Multimedia Grand Challenge Competition.

  15. Vonikakis, V., Winkler, S. (2012). System for Creating Slideshows Based on People and Their Emotions. ACM MM 2012. (pp.1289-1290). Nara, Japan.

  16. Vonikakis, V., Chrysostomou, D., Kouskouridas, R., & Gasteratos, A. (2012). Improving the Robustness in Feature Detection by LocalContrast Enhancement. IEEE International Conference on Imaging Systems and Techniques (IST 2012). (pp.158-163). Manchester, UK.

  17. McCann, J., Vonikakis, V. (2012). Accurate Information vs. Looks Good: Scientific vs. Preferred Rendering. CGIV 2012. Amsterdam.

  18. Vonikakis, V., Bouzos, O. & Andreadis, I. (2011). Multi-Exposure Image Fusion Based on Illumination Estimation, SIPA2011 (pp.135-142), Heraklion, Crete, Greece.

  19. Vonikakis, V., Arapakis, I. & Andreadis, I. (2011).Combining Gray-World assumption, White-Point correction and power transformation for automatic white balance. International Workshop on Advanced Image Technology (IWAIT), paper number 1569353295, Jakarta Indonesia.

  20. McCann, J., Vonikakis, V., Parraman, C., & Rizzi, A. (2010). Analysis of Spatial Image Rendering. Proc. IS&T/SID Color Imaging Conference, 18, 223-28.

  21. Iakovidou, C., Vonikakis, V., & Andreadis, I. (2008). A Hardware Module for Automatic Exposure Correctionin Real-time Vision Systems. VLSI-SOC 2008. (pp. 67-72). Rhodes Island, Greece.

  22. Vonikakis, V., & Andreadis, I. (2008). Multi-Scale Image Contrast Enhancement. ICARCV 2008. (pp. 385-391). Hanoi, Vietnam.

  23. Vonikakis, V., & Andreadis, I. (2007). Fast Automatic Compensation of Under/Over Exposured Image Regions. IEEE Pacific Rim Symposium on Image Video and Technology (PSIVT 2007), Lecture Notes in Computer Science. (pp. 510-521), Vol. 4872. Santiago, Chile. Selected as “Best Paper in Computer Vision Applications”.

  24. Vonikakis, V., Andreadis, I., Papamarkos, N., & Gasteratos, A. (2007). Adaptive Document Binarization: AHuman Vision Approach. Int. Conference on Computer Vision Theory and Applications. (pp. 104-110). Barcelona, Spain.

  25. Vonikakis, V., Andreadis, I., & Gasteratos, A. (2007). Fast Dynamic Range Compression for Grey Scale Images. International Workshop on Advanced Image Technology (IWAIT). (pp. 35-39). Bangkok, Thailand.

  26. Panitsidis, G., Konstandinidis, K., Vonikakis, V., Andreadis, I., & Gasteratos, A. (2006). Fast Image Retrieval Based onAttributes of the Human Visual System. IEEE NORSIG ’06. (pp. 206-209). Reykjavik, Iceland.

  27. Vonikakis, V., Andreadis, I., & Gasteratos, A. (2006). Extraction of Salient Contours in Color Images. 4th Panhellenic Conference of Artificial Intelligence (SETN 2006), Lecture Notes in Computer Science. (pp. 400-410), Vol. 3955. Heraklion, Greece.

  28. Vonikakis, V., Andreadis, I., & Gasteratos, A. (2005). Simple Shape Classification Based on the Human VisualSystem. IASTED Int. Conf. on Visualization, Imaging and Image Processing. (pp. 162-167). Benidorm, Spain.

  29. Vonikakis, V., Andreadis, I., & Gasteratos, A. (2004). A New Approach to Machine Contour Perception. Int. Conf. on Computational Methods in Sciences and Engineering. (pp. 566-568). Athens, Greece.

  30. Andreadis, I., Vonikakis, V., & Tsalides, Ph. (2003). Error Computation in the Uniform Color Spaces sRGB and CIEL*a*b*. IEEE 11th Mediterranean Conf. on Automation & Control. (pp. 1-5). Rhodes, Greece.

Book Chapters

  1. McCann, J., Vonikakis, V. & Rizzi, A. (2017). HDR Scene Capture and Appearance. SPIE, vol. SL35, ISBN: 9781510618541.

  2. Vonikakis, V., Iakovidou, C., & Andreadis, I. (2010). Real-Time Biologically-Inspired Image Exposure Correction. VLSI-SoC: Design Methodologies for SoC and SiP, Springer Boston, Book Editors: C. Piguet, R. Reis, and D. Soudris, (pp. 133-153).

Patents

  1. Vonikakis, V. (2019). Haptic system for providing sensory augmentation to a subject and method thereof. US10359855B1.

  2. Beck A., Kek K.J., Vonikakis V., Wijaya C.S. (2020). Method and system for generating an output with respect to a group of individuals. US10762356B2