Liviu-Daniel ȘTEFAN

Liviu-Daniel ȘTEFAN

Research Scientist @AIMultimedia Lab, CAMPUS Research Institute.

Book chapters

  1. Herrera, A. G., Ionescu, B., Müller, H., Péteri, R., Abacha, A. B., Friedrich, C. M., … others. (2022). ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications. In European Conference on Information Retrieval (pp. 382–389). Springer.
  2. Ionescu, B., Müller, H., Péteri, R., Rückert, J., Abacha, A. B., de Herrera, A. G. S., … others. (2022). Overview of the ImageCLEF 2022: Multimedia retrieval in medical, social media and nature applications. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 541–564). Springer.
  3. 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.
  4. 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.
  5. 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
  6. 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. Dogariu, M., Ştefan, L.-D., Boteanu, B. A., Lamba, C., Kim, B., & Ionescu, B. (2022). Generation of realistic synthetic financial time-series. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 18(4), 1–27.
  2. 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, ISI Impact Factor 7.41.
  3. 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 10.506. https://doi.org/10.1109/TAFFC.2020.2986969

International conference papers

  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).
  2. Constantin, M. G., Ştefan, L.-D., Dogariu, M., & Ionescu, B. (2022). Ai multimedia lab at imagecleffusion 2022: Deepfusion methods for ensembling in diverse scenarios. In CLEF2022 Working Notes, CEUR Workshop Proceedings, CEUR-WS. org, Bologna, Italy.
  3. Ştefan, L.-D., Constantin, M. G., Dogariu, M., & Ionescu, B. (2022). Overview of ImageCLEFfusion 2022 task-ensembling methods for media interestingness prediction and result diversification. In CLEF2022 Working Notes, CEUR Workshop Proceedings, CEUR-WS. org, Bologna, Italy.
  4. Constantin, M. G., Ștefan, L. D., & Ionescu, B. (2021). DeepFusion: Deep Ensembles for Domain Independent System Fusion. 27th International Conference on Multimedia Modeling (MMM).
  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.
  6. 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.
  7. 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.
  8. 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.
  9. 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
  10. 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.
  11. 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