Publications

2022

  1. Popescu, A., Ştefan, L.-D., Deshayes-Chossart, J., & Ionescu, B. (2022). Face Verification with Challenging Imposters and Diversified Demographics. Winter Conference on Applications of Computer Vision (WACV). IEEE.

2021

  1. M. Dogariu, B. I., H. Le Borgne. (2021). Backpropagation Aided Logo Generation using Generative Adversarial Networks. Scientific Bulletin of UPB, Series C - Electrical Engineering, 83, 2286–3540.
  2. Tăuţan, A.-M., Ionescu, B., & Santarnecchi, E. (2021). Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques. Artificial Intelligence in Medicine, 117, 102081. https://doi.org/https://doi.org/10.1016/j.artmed.2021.102081
  3. Constantin, M. G., Stefan, L.-D., Ionescu, B., Duong, N. Q. K., Demarty, C.-H., & Sjöberg, M. (2021). Visual Interestingness Prediction: A Benchmark Framework and Literature Review. Int. J. Comput. Vis., 129(5), 1526–1550. https://doi.org/10.1007/s11263-021-01443-1
  4. Ciurea, A., Manoilă, C.-P., & Ionescu, B. (2021). smartEEG: An End-to-End Framework for the Analysis and Classification of EEG Signals. In IEEE International Conference on E-Health and Bioengineering - EHB, November 18-19, Iași, Romania, 2021 (pp. 1–4). IEEE.
  5. Jitaru, A.-C., Ştefan, L.-D., & Ionescu, B. (2021). Toward Language-independent Lip Reading: A Transfer Learning Approach. In 2021 International Symposium on Signals, Circuits and Systems (ISSCS) (pp. 1–4). IEEE. https://doi.org/10.1109/ISSCS52333.2021.9497405
  6. Constantin, M. G., Pârvu, D.-S., Stanciu, C., Ionascu, D., & Ionescu, B. (2021). Hateful meme detection with multimodal deep neural networks. In 2021 International Symposium on Signals, Circuits and Systems (ISSCS) (pp. 1–4). IEEE. https://doi.org/10.1109/ISSCS52333.2021.9497374
  7. Stanciu, D.-C., & Ionescu, B. (2021). Deepfake Video Detection with Facial Features and Long-Short Term Memory Deep Networks. In 2021 International Symposium on Signals, Circuits and Systems (ISSCS) (pp. 1–4). IEEE. https://doi.org/10.1109/ISSCS52333.2021.9497385
  8. Constantin, M. G., Ştefan, L.-D., & Ionescu, B. (2021). Towards Realistic Financial Time Series Generation via Generative Adversarial Learning. In European Signal Processing Conference - EUSIPCO, August 23-27, Dublin, Ireland, 2021.
  9. Constantin, M. G., Stefan, L.-D., & Ionescu, B. (2021). DeepFusion: Deep Ensembles for Domain Independent System Fusion. In MultiMedia Modeling - 27th International Conference, MMM 2021, Prague, Czech Republic, June 22-24, 2021, Proceedings, Part I (Vol. 12572, pp. 240–252). Springer. https://doi.org/10.1007/978-3-030-67832-6_20
  10. Berari, R., Tauteanu, A., Fichou, D., Brie, P., Dogariu, M., Stefan, L.-D., … Ionescu, B. (2021). Overview of the 2021 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn and Digital Website UIs. In Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to - 24th, 2021 (Vol. 2936, pp. 1121–1132). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-2936/paper-89.pdf
  11. Ionescu, B., Müller, H., Péteri, R., Abacha, A. B., Demner-Fushman, D., Hasan, S. A., … Popescu, A. (2021). The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications. In Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II (Vol. 12657, pp. 616–623). Springer. https://doi.org/10.1007/978-3-030-72240-1_72
  12. Ionescu, B., Müller, H., Péteri, R., Abacha, A. B., Sarrouti, M., Demner-Fushman, D., … Deshayes-Chossart, J. (2021). Overview of the ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications. In Experimental IR Meets Multilinguality, Multimodality, and Interaction - 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21-24, 2021, Proceedings (Vol. 12880, pp. 345–370). Springer. https://doi.org/10.1007/978-3-030-85251-1_23
  13. Constantin, M. G., Ştefan, L.-D., & Ionescu, B. (2021). Exploring Deep Fusion Ensembling for Automatic Visual Interestingness Prediction. Human Perception of Visual Information: Psychological and Computational Perspectives, Springer.

2020

  1. Constantin, M. G., Ștefan, L. D., Ionescu, B., Demarty, C., Sjoberg, M., Schedl, M., & Gravier, G. (2020). Affect in Multimedia: Benchmarking Violent Scenes Detection. IEEE Transactions on Affective Computing, ISI Impact Factor 6.3. https://doi.org/10.1109/TAFFC.2020.2986969
  2. Tăutan, A.-M., Rossi, A. C., de Francisco, R., & Ionescu, B. (2020). Automatic Sleep Stage Detection: A Study on the Influence of Various PSG Input Signals. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 5330–5334). IEEE.
  3. Ştefan, L.-D., Abdulamit, Ş., Dogariu, M., Constantin, M. G., & Ionescu, B. (2020). Deep learning-based person search with visual attention embedding. In 2020 13th International Conference on Communications (COMM) (pp. 303–308). IEEE.
  4. Dogariu, M., Stefan, L.-D., Constantin, M. G., & Ionescu, B. (2020). Human-Object Interaction: Application to Abandoned Luggage Detection in Video Surveillance Scenarios. In 2020 13th International Conference on Communications (COMM) (pp. 157–160). IEEE.
  5. Tăuţan, A.-M., Rossi, A. C., de Francisco, R., & Ionescu, B. (2020). Dimensionality Reduction for EEG-based Sleep Stage Detection: Comparison of Autoencoders, Principal Component Analysis and Factor Analysis. In De Gruyter Biomedical Engineering.
  6. Ionescu, B., Rohm, M., Boteanu, B., Gı̂nscą Alexandru Lucian, Lupu, M., & Mueller, H. (2020). Benchmarking Image Retrieval Diversification Techniques for Social Media. IEEE Transactions on Multimedia, ISI Impact Factor 5.5. https://doi.org/10.1109/TMM.2020.2986579
  7. Ionescu, B., Müller, H., Péteri, R., Abacha, A. B., Datla, V., Hasan, S. A., … others. (2020). Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 311–341). Springer. https://doi.org/10.1007/978-3-030-45442-5_69
  8. Ionescu, B., Ghenescu, M., Rastoceanu, F., Roman, R., & Buric, M. (2020). Artificial Intelligence Fights Crime and Terrorism at a New Level. IEEE Multim., 27(2), 55–61. https://doi.org/10.1109/MMUL.2020.2994403
  9. Ionescu, B., Müller, H., Péteri, R., Abacha, A. B., Datla, V. V., Hasan, S. A., … Constantin, M. G. (2020). Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. In Experimental IR Meets Multilinguality, Multimodality, and Interaction - 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22-25, 2020, Proceedings (Vol. 12260, pp. 311–341). Springer. https://doi.org/10.1007/978-3-030-58219-7_22
  10. Ionescu, B., Müller, H., Péteri, R., Dang-Nguyen, D.-T., Zhou, L., Piras, L., … Constantin, M. G. (2020). ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. In Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II (Vol. 12036, pp. 533–541). Springer. https://doi.org/10.1007/978-3-030-45442-5_69
  11. Tăuţan, A.-M., Rossi, A. C., de Francisco, R., & Ionescu, B. (2020). Automatic Sleep Stage Detection: A Study on the Influence of Various PSG Input Signals. In 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2020, Montreal, QC, Canada, July 20-24, 2020 (pp. 5330–5334). IEEE. https://doi.org/10.1109/EMBC44109.2020.9175628
  12. Stefan, L.-D., Constantin, M. G., & Ionescu, B. (2020). System Fusion with Deep Ensembles. In Proceedings of the 2020 on International Conference on Multimedia Retrieval, ICMR 2020, Dublin, Ireland, June 8-11, 2020 (pp. 256–260). ACM. https://doi.org/10.1145/3372278.3390720
  13. Jitaru, A. C., Abdulamit, S., & Ionescu, B. (2020). LRRo: a lip reading data set for the under-resourced romanian language. In Proceedings of the 11th ACM Multimedia Systems Conference, MMSys 2020, Istanbul, Turkey, June 8-11, 2020 (pp. 267–272). ACM. https://doi.org/10.1145/3339825.3394932
  14. Ciurea, A., Manoila, C.-P., Tautan, A.-M., & Ionescu, B. (2020). Low Latency Automated Epileptic Seizure Detection: Individualized vs. Global Approaches. In 2020 International Conference on e-Health and Bioengineering (EHB) (pp. 1–4). IEEE. https://doi.org/10.1109/EHB50910.2020.9280267
  15. Tăuţan, A.-M., Andrei, A.-G., & Ionescu, B. (2020). Freezing of gait detection for parkinson’s disease patients using accelerometer data: Case study. In 2020 International Conference on e-Health and Bioengineering (EHB) (pp. 1–4). IEEE. https://doi.org/10.1109/EHB50910.2020.9280223
  16. Fichou, D., Berari, R., Brie, P., Dogariu, M., Stefan, L.-D., Constantin, M. G., & Ionescu, B. (2020). Overview of the 2020 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn Website UIs. In Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, September 22-25, 2020 (Vol. 2696). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-2696/paper_245.pdf

2019

  1. Constantin, M. G., Redi, M., Zen, G., & Ionescu, B. (2019). Computational Understanding of Visual Interestingness Beyond Semantics: Literature Survey and Analysis of Covariates. ACM Comput. Surv., 52(2), 25:1–25:37. https://doi.org/10.1145/3301299
  2. Dogariu, M., & Ionescu, B. (2019). Multimedia Lab @ ImageCLEF 2019 Lifelog Moment Retrieval Task. In Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019 (Vol. 2380). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-2380/paper_149.pdf
  3. Ionescu, B., Müller, H., Péteri, R., Cid, Y. D., Liauchuk, V., Kovalev, V., … Campello, A. (2019). ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature. In Experimental IR Meets Multilinguality, Multimodality, and Interaction - 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland, September 9-12, 2019, Proceedings (Vol. 11696, pp. 358–386). Springer. https://doi.org/10.1007/978-3-030-28577-7_28
  4. Constantin, M. G., Redi, M., Zen, G., & Ionescu, B. (2019). Computational understanding of visual interestingness beyond semantics: literature survey and analysis of covariates. ACM Computing Surveys (CSUR), 52(2), 1–37, ISI Impact Factor 6.1. https://doi.org/10.1145/3301299
  5. Ionescu, B., Müller, H., Péteri, R., Dang-Nguyen, D.-T., Piras, L., Riegler, M., … Karampidis, K. (2019). ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications. In Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part II (Vol. 11438, pp. 301–308). Springer. https://doi.org/10.1007/978-3-030-15719-7_40
  6. Tăuţan, A.-M., Dogariu, M., & Ionescu, B. (2019). Detection of Epileptic Seizures using Unsupervised Learning Techniques for Feature Extraction. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2377–2381). IEEE. https://doi.org/10.1109/EMBC.2019.8856315
  7. Andrei, A.-G., Tăuțan, A.-M., & Ionescu, B. (2019). Parkinson’s Disease Detection from Gait Patterns. In 2019 E-Health and Bioengineering Conference (EHB) (pp. 1–4). IEEE.
  8. Constantin, M. G., Ionescu, B., Demarty, C.-H., Duong, N. Q. K., Alameda-Pineda, X., & Sjöberg, M. (2019). The Predicting Media Memorability Task at MediaEval 2019. In Working Notes Proceedings of the MediaEval 2019 Workshop, Sophia Antipolis, France, 27-30 October 2019 (Vol. 2670). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-2670/MediaEval_19_paper_14.pdf
  9. Constantin, M. G., Kang, C., Dinu, G., Dufaux, F., Valenzise, G., & Ionescu, B. (2019). Using Aesthetics and Action Recognition-Based Networks for the Prediction of Media Memorability. In Working Notes Proceedings of the MediaEval 2019 Workshop, Sophia Antipolis, France, 27-30 October 2019 (Vol. 2670). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-2670/MediaEval_19_paper_60.pdf
  10. Ionescu, B., Müller, H., Péteri, R., Dang-Nguyen, D.-T., Piras, L., Riegler, M., … others. (2019). Imageclef 2019: Multimedia retrieval in lifelogging, medical, nature, and security applications. In European Conference on Information Retrieval (pp. 301–308). Springer. https://doi.org/10.1007/978-3-030-15719-7_40

2018

  1. Dogariu, M., & Ionescu, B. (2018). Multimedia Lab @ ImageCLEF 2018 Lifelog Moment Retrieval Task. In Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum, Avignon, France, September 10-14, 2018 (Vol. 2125). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-2125/paper_148.pdf
  2. Ionescu, B., Müller, H., Villegas, M., de Herrera, A. G. S., Eickhoff, C., Andrearczyk, V., … Gurrin, C. (2018). Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation. In Experimental IR Meets Multilinguality, Multimodality, and Interaction - 9th International Conference of the CLEF Association, CLEF 2018, Avignon, France, September 10-14, 2018, Proceedings (Vol. 11018, pp. 309–334). Springer. https://doi.org/10.1007/978-3-319-98932-7_28
  3. Ionescu, B., Müller, H., Villegas, M., Herrera Alba Garcı́a Seco, Eickhoff, C., Andrearczyk, V., … others. (2018). Overview of ImageCLEF 2018: Challenges, datasets and evaluation. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 309–334). Springer.
  4. Mitrea, C. A., Constantin, M.-G., Ştefan, L.-D., Ghenescu, M., & Ionescu, B. (2018). Little-big deep neural networks for embedded video surveillance. In 2018 International Conference on Communications (COMM) (pp. 493–496). IEEE.

2017

  1. Duta, I. C., Uijlings, J. R. R., Ionescu, B., Aizawa, K., Hauptmann, A. G., & Sebe, N. (2017). Efficient human action recognition using histograms of motion gradients and VLAD with descriptor shape information. Multimedia Tools and Applications, 76(21), 22445–22472, ISI Impact Factor 2.1. https://doi.org/s11042-017-4795-6
  2. Duta, I. C., Ionescu, B., Aizawa, K., & Sebe, N. (2017). Simple, efficient and effective encodings of local deep features for video action recognition. In Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval (pp. 218–225).
  3. Duta, I. C., Ionescu, B., Aizawa, K., & Sebe, N. (2017). Spatio-temporal vector of locally max pooled features for action recognition in videos. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3205–3214). IEEE.
  4. Boteanu, B., Mironică, I., & Ionescu, B. (2017). Pseudo-relevance feedback diversification of social image retrieval results. Multimedia Tools and Applications, 76(9), 11889–11916, ISI Impact Factor 2.1. https://doi.org/10.1007/s11042-016-3678-6
  5. Boteanu, B., Mironica, I., & Ionescu, B. (2017). Pseudo-relevance feedback diversification of social image retrieval results. Multim. Tools Appl., 76(9), 11889–11916. https://doi.org/10.1007/s11042-016-3678-6
  6. Duta, I. C., Uijlings, J. R. R., Ionescu, B., Aizawa, K., Hauptmann, A. G., & Sebe, N. (2017). Efficient human action recognition using histograms of motion gradients and VLAD with descriptor shape information. Multim. Tools Appl., 76(21), 22445–22472. https://doi.org/10.1007/s11042-017-4795-6
  7. Dogariu, M., & Ionescu, B. (2017). A Textual Filtering of HOG-Based Hierarchical Clustering of Lifelog Data. In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, Dublin, Ireland, September 11-14, 2017 (Vol. 1866). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-1866/paper_157.pdf
  8. Duta, I. C., Ionescu, B., Aizawa, K., & Sebe, N. (2017). Spatio-temporal vlad encoding for human action recognition in videos. In International Conference on Multimedia Modeling (pp. 365–378). Springer.
  9. Constantin, M. G., & Ionescu, B. (2017). Content description for Predicting image Interestingness. In 2017 International Symposium on Signals, Circuits and Systems (ISSCS) (pp. 1–4). IEEE.
  10. Ştefan, L., Mironică, I., Mitrea, C. A., & Ionescu, B. (2017). End to end very deep person re-identification. In 2017 International Symposium on Signals, Circuits and Systems (ISSCS) (pp. 1–4).
  11. Ionescu, B., Müller, H., Villegas, M., Arenas, H., Boato, G., Dang-Nguyen, D.-T., … Schwall, I. (2017). Overview of ImageCLEF 2017: Information Extraction from Images. In Experimental IR Meets Multilinguality, Multimodality, and Interaction - 8th International Conference of the CLEF Association, CLEF 2017, Dublin, Ireland, September 11-14, 2017, Proceedings (Vol. 10456, pp. 315–337). Springer. https://doi.org/10.1007/978-3-319-65813-1_28
  12. Stefan, L.-D., Cid, Y. D., Toro Oscar Alfonso Jimı́nez, Ionescu, B., & Müller, H. (2017). Finding and Classifying Tuberculosis Types for a Targeted Treatment: MedGIFT-UPB Participation in the ImageCLEF 2017 Tuberculosis Task. In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, Dublin, Ireland, September 11-14, 2017 (Vol. 1866). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-1866/paper_152.pdf
  13. Ionescu, B., Müller, H., Villegas, M., Arenas, H., Boato, G., Dang-Nguyen, D.-T., … others. (2017). Overview of ImageCLEF 2017: Information extraction from images. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 315–337). Springer.
  14. Stefan, L.-D., Ionescu, B., & Müller, H. (2017). Generating Captions for Medical Images with a Deep Learning Multi-hypothesis Approach: ImageCLEF 2017 Caption Task. In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, Dublin, Ireland, September 11-14, 2017 (Vol. 1866). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-1866/paper_153.pdf
  15. Toma, A., Stefan, L.-D., & Ionescu, B. (2017). UPB HES SO @ PlantCLEF 2017: Automatic Plant Image Identification using Transfer Learning via Convolutional Neural Networks. In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, Dublin, Ireland, September 11-14, 2017 (Vol. 1866). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-1866/paper_165.pdf
  16. Duta, I. C., Ionescu, B., Aizawa, K., & Sebe, N. (2017). Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos. In 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 (pp. 3205–3214). IEEE Computer Society. https://doi.org/10.1109/CVPR.2017.341
  17. Boteanu, B., Constantin, M. G., & Ionescu, B. (2017). LAPI @ 2017 Retrieving Diverse Social Images Task: A Pseudo-Relevance Feedback Diversification Perspective. In Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017 (Vol. 1984). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-1984/Mediaeval_2017_paper_33.pdf
  18. Constantin, M. G., Boteanu, B. A., & Ionescu, B. (2017). LAPI at MediaEval 2017 - Predicting Media Interestingness. In Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017 (Vol. 1984). CEUR-WS.org. Retrieved from http://ceur-ws.org/Vol-1984/Mediaeval_2017_paper_28.pdf
  19. Duta, I. C., Ionescu, B., Aizawa, K., & Sebe, N. (2017). Simple, Efficient and Effective Encodings of Local Deep Features for Video Action Recognition. In Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, ICMR 2017, Bucharest, Romania, June 6-9, 2017 (pp. 218–225). ACM. https://doi.org/10.1145/3078971.3078988
  20. Duta, I. C., Ionescu, B., Aizawa, K., & Sebe, N. (2017). Spatio-Temporal VLAD Encoding for Human Action Recognition in Videos. In MultiMedia Modeling - 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part I (Vol. 10132, pp. 365–378). Springer. https://doi.org/10.1007/978-3-319-51811-4_30
  21. Ionescu, B., Sebe, N., Feng, J., Larson, M. A., Lienhart, R., & Snoek, C. (Eds.). (2017). Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, ICMR 2017, Bucharest, Romania, June 6-9, 2017. ACM. https://doi.org/10.1145/3078971

2016

  1. Mironica, I., Ionescu, B., Uijlings, J. R. R., & Sebe, N. (2016). Fisher Kernel Temporal Variation-based Relevance Feedback for video retrieval. Comput. Vis. Image Underst., 143, 38–51. https://doi.org/10.1016/j.cviu.2015.10.005
  2. Ionescu, B., Müller, H., Kompatsiaris, Y., Gravier, G., & Vetro, A. (2016). Reports on CBMI 16 and ICME 16. IEEE Multim., 23(4), 88–93. https://doi.org/10.1109/MMUL.2016.56
  3. Mironică, I., Duţă, I. C., Ionescu, B., & Sebe, N. (2016). A modified vector of locally aggregated descriptors approach for fast video classification. Multimedia Tools and Applications, 75(15), 9045–9072, ISI Impact Factor 2.1. https://doi.org/10.1007/s11042-015-2819-7
  4. Ionescu, B., Boato, G., Ma, Z., Kompatsiaris, Y., Sebe, N., & Yan, S. (2016). Special Issue on Event-based Media Processing and Analysis. Image Vis. Comput., 53, 1–2. https://doi.org/10.1016/j.imavis.2016.08.008
  5. Ionescu, B., Popescu, A., Radu, A.-L., & Müller, H. (2016). Result diversification in social image retrieval: a benchmarking framework. Multim. Tools Appl., 75(2), 1301–1331. https://doi.org/10.1007/s11042-014-2369-4
  6. Mironica, I., Duta, I. C., Ionescu, B., & Sebe, N. (2016). A modified vector of locally aggregated descriptors approach for fast video classification. Multim. Tools Appl., 75(15), 9045–9072. https://doi.org/10.1007/s11042-015-2819-7
  7. Duta, I. C., Nguyen, T. A., Aizawa, K., Ionescu, B., & Sebe, N. (2016). Boosting VLAD with double assignment using deep features for action recognition in videos. In 2016 23rd International Conference on Pattern Recognition (ICPR) (pp. 2210–2215). IEEE.
  8. Purica, A. I., Mora, E. G., Pesquet-Popescu, B., Cagnazzo, M., & Ionescu, B. (2016). Multiview Plus Depth Video Coding With Temporal Prediction View Synthesis. IEEE Trans. Circuits Syst. Video Technol., 26(2), 360–374. https://doi.org/10.1109/TCSVT.2015.2389511
  9. Ionescu, B., Popescu, A., Radu, A.-L., & Müller, H. (2016). Result diversification in social image retrieval: a benchmarking framework. Multimedia Tools and Applications, 75(2), 1301–1331, ISI Impact Factor 2.1. https://doi.org/10.1007/s11042-014-2369-4
  10. Mironică, I., Ionescu, B., Uijlings, J., & Sebe, N. (2016). Fisher kernel temporal variation-based relevance feedback for video retrieval. Computer Vision and Image Understanding, 143, 38–51, ISI Impact Factor 2.6. https://doi.org/10.1016/j.cviu.2015.10.005
  11. Duta, I. C., Uijlings, J. R. R., Nguyen, T. A., Aizawa, K., Hauptmann, A. G., Ionescu, B., & Sebe, N. (2016). Histograms of Motion Gradients for real-time video classification. In 14th International Workshop on Content-Based Multimedia Indexing, CBMI 2016, Bucharest, Romania, June 15-17, 2016 (pp. 1–6). IEEE. https://doi.org/10.1109/CBMI.2016.7500260
  12. Ionescu, B., Gı̂nscă Alexandru Lucian, Boteanu, B., Lupu, M., Popescu, A., & Müller, H. (2016). Div150Multi: a social image retrieval result diversification dataset with multi-topic queries. In Proceedings of the 7th International Conference on Multimedia Systems (pp. 1–6).
  13. Purica, A. I., Cagnazzo, M., Pesquet-Popescu, B., Dufaux, F., & Ionesc, B. (2016). View synthesis based on temporal prediction via warped motion vector fields. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1150–1154). IEEE.
  14. Purica, A. I., Cagnazzo, M., Pesquet-Popescu, B., Dufaux, F., & Ionescu, B. (2016). View synthesis based on temporal prediction via warped motion vector fields. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, March 20-25, 2016 (pp. 1150–1154). IEEE. https://doi.org/10.1109/ICASSP.2016.7471856
  15. Duta, I. C., Nguyen, T. A., Aizawa, K., Ionescu, B., & Sebe, N. (2016). Boosting VLAD with double assignment using deep features for action recognition in videos. In 23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016 (pp. 2210–2215). IEEE. https://doi.org/10.1109/ICPR.2016.7899964
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