Book chapters

  1. Constantin, M. G., Stefan, L.-D., & Ionescu, B. (2021, September). Exploring Deep Fusion Ensembling for Automatic Visual Interestingness Prediction. Human Perception of Visual Information: Psychological and Computational Perspectives, Springer.
  2. Ionescu, B., Müller, H., Péteri, R., Abacha, A. B., Sarrouti, M., Demner-Fushman, D., … others. (2021). Overview of the ImageCLEF 2021: Multimedia retrieval in medical, nature, internet and social media applications. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 345–370). Springer.
  3. 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
  4. 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

International journal papers

  1. Constantin, M. G., Ștefan, L. D., Ionescu, B., Duong, Q.-K.-N., Demarty, C.-H., & Sjoberg, M. (2021). Visual Interestingness Prediction: A Benchmark Framework and Literature Review. International Journal of Computer Vision.
  2. Constantin, M. G., Ștefan, L. D., Ionescu, B., Demarty, C.-H., 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

International conference papers

  1. Constantin, M. G., Ștefan, L. D., & Ionescu, B. (2021). DeepFusion: Deep Ensembles for Domain Independent System Fusion. 27th International Conference on Multimedia Modeling (MMM).
  2. 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.
  3. Ionescu, B., Müller, H., Péteri, R., Abacha, A. B., Demner-Fushman, D., Hasan, S. A., … others. (2021). The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications. In European Conference on Information Retrieval (pp. 616–623). Springer.
  4. 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.
  5. 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.
  6. 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
  7. 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.
  8. 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).

Working notes papers

  1. Berari, R., Tăuteanu, A., Fichou, D., Brie, P., Dogariu, M., Ştefan, L. D., … Ionescu, B. (2021). Overview of the 2021 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn and Digital Website UIs.
  2. Fichou, D., Berari, R., Brie, P., Dogariu, M., Ştefan, L. D., Constantin, M. G., & Ionescu, B. (2020). Overview of ImageCLEFdrawnUI 2020: The Detection and Recognition of Hand Drawn Website UIs Task. In CLEF2020 Working Notes (Vol. 2696, pp. 1–12). Thessaloniki, Greece: CEUR-WS.org.
  3. 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
  4. 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
  5. 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