Liviu-Daniel ȘTEFAN

Liviu-Daniel ȘTEFAN

Research Scientist @AIMultimedia Lab, CAMPUS Research Institute.

Book chapters

  1. Ionescu, B., Müller, H., Drăgulinescu, A.-M., Yim, W.-W., Ben Abacha, A., Snider, N., Adams, G., Yetisgen, M., Rückert, J., García Seco de Herrera, A., Friedrich, C. M., Bloch, L., Brüngel, R., Idrissi-Yaghir, A., Schäfer, H., Hicks, S. A., Riegler, M. A., Thambawita, V., Storås, A. M., Halvorsen, P., Papachrysos, N., Schöler, J., Jha, D., Andrei, A.-G., Coman, I., Kovalev, V., Radzhabov, A., Prokopchuk, Y., Ştefan, L.-D., Constantin, M.-G., Dogariu, M., Deshayes, J., & Popescu, A. (2023). Overview of the imageclef 2023: Multimedia retrieval in medical, social media and internet applications. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 370–396). Springer.
  2. Ionescu, B., Müller, H., Drăgulinescu, A. M., Popescu, A., Idrissi-Yaghir, A., García Seco de Herrera, A., Andrei, A., Stan, A., Storås, A. M., Abacha, A. B., Friedrich, C. M., Ioannidis, G., Adams, G., Schäfer, H., Manguinhas, H., Filipovich, I., Coman, I., Deshayes, J., Schöler, J., Rückert, J., Ştefan, L.-D., Bloch, L., Yetisgen, M., Riegler, M. A., Dogariu, M., Constantin, M. G., Snider, N., Papachrysos, N., Halvorsen, P., Brüngel, R., Kozlovski, S., Hicks, S., de Lange, T., Thambawita, V., Kovalev, V., & Yim, W.-W. (2023). ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. In Advances in Information Retrieval (pp. 557–567). Cham: Springer Nature Switzerland.
  3. de Herrera, A. G. S., Ionescu, B., Müller, H., Péteri, R., Abacha, A. B., Friedrich, C. M., Rückert, J., Bloch, L., Brüngel, R., Idrissi-Yaghir, A., Schäfer, H., Kozlovski, S., Cid, Y. D., Kovalev, V., Chamberlain, J., Clark, A., Campello, A., Schindler, H., Deshayes, J., Popescu, A., Ştefan, L.-D., Constantin, M. G., & Dogariu, M. (2022). ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications. In European Conference on Information Retrieval (pp. 382–389). Springer.
  4. Ionescu, B., Müller, H., Péteri, R., Rückert, J., Abacha, A. B., de Herrera, A. G. S., Friedrich, C. M., Bloch, L., Brüngel, R., Idrissi-Yaghir, A., Schäfer, H., Kozlovski, S., Cid, Y. D., Kovalev, V., Ştefan, L.-D., Constantin, M. G., Dogariu, M., Popescu, A., Deshayes-Chossart, J., Schindler, H., Chamberlain, J., Campello, A., & Clark, A. (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.
  5. Constantin, M. G., Ştefan, 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.
  6. Ionescu, B., Müller, H., Péteri, R., Abacha, A. B., Sarrouti, M., Demner-Fushman, D., Hasan, S. A., Kozlovski, S., Liauchuk, V., Cid, Y. D., Kovalev, V., Pelka, O., de Herrera, A. G. S., Jacutprakart, J., Friedrich, C. M., Berari, R., Tauteanu, A., Fichou, D., Brie, P., Dogariu, M., Ştefan, L.-D., Constantin, M. G., Chamberlain, J., Campello, A., Clark, A., Oliver, T. A., Moustahfid, H., Popescu, A., & Deshayes-Chossart, J. (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.
  7. Ionescu, B., Müller, H., Péteri, R., Abacha, A. B., Demner-Fushman, D., Hasan, S. A., Sarrouti, M., Pelka, O., Friedrich, C. M., de Herrera, A. G. S., Jacutprakart, J., Kovalev, V., Kozlovski, S., Liauchuk, V., Cid, Y. D., Chamberlain, J., Clark, A., Campello, A., Moustahfid, H., Oliver, T., Schulz, A., Brie, P., Berari, R., Fichou, D., Tauteanu, A., Dogariu, M., Ştefan, L.-D., Constantin, M. G., Deshayes, J., & Popescu, A. (2021). The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications. In Advances in Information Retrieval (pp. 616–623). Cham: Springer International Publishing.
  8. Ionescu, B., Müller, H., Péteri, R., Abacha, A. B., Datla, V., Hasan, S. A., Demner-Fushman, D., Kozlovski, S., Liauchuk, V., Cid, Y. D., Kovalev, V., Pelka, O., Friedrich, C. M., García Seco de Herrera, A., Ninh, V.-T., Le, T.-K., Zhou, L., Piras, L., Riegler, M., Halvorsen, P., Tran, M.-T., Lux, M., Gurrin, C., Dang-Nguyen, D.-T., Chamberlain, J., Clark, A., Campello, A., Fichou, D., Berari, R., Brie, P., Dogariu, M., Ştefan, L.-D., & 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.
  9. Ionescu, B., Müller, H., Péteri, R., Dang-Nguyen, D.-T., Zhou, L., Piras, L., Riegler, M., Halvorsen, P., Tran, M.-T., Lux, M., Gurrin, C., Chamberlain, J., Clark, A., Campello, A., Seco de Herrera, A. G., Ben Abacha, A., Datla, V., Hasan, S. A., Liu, J., Demner-Fushman, D., Pelka, O., Friedrich, C. M., Dicente Cid, Y., Kozlovski, S., Liauchuk, V., Kovalev, V., Berari, R., Brie, P., Fichou, D., Dogariu, M., Ştefan, L.-D., & 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.

International journal papers

  1. Constantin, M. G., Stanciu, D.-C., Ştefan, L.-D., Dogariu, M., Mihăilescu, D., Ciobanu, G., Bergeron, M., Liu, W., Belov, K., Radu, O., & others. (2024). Exploring Generative Adversarial Networks for Augmenting Network Intrusion Detection Tasks. ACM Transactions on Multimedia Computing, Communications and Applications.
  2. Ştefan, L.-D., Stanciu, D.-C., Dogariu, M., Gabriel, C. M., Jitaru, A. C., & Ionescu, B. (2023). Deepfake sentry: harnessing ensemble intelligence for resilient detection and generalization. Scientific Bulletin of UPB, Series C - Electrical Engineering, 85, 193–208.
  3. Gabriel, C. M., Ştefan, L.-D., & Ionescu, B. (2023). Inducer selection principles for DeepFusion systems. Scientific Bulletin of UPB, Series C - Electrical Engineering, 85, 235–246.
  4. Constantin, M. G., Ştefan, L.-D., Ionescu, B., Demarty, C.-H., Sjöberg, M., Schedl, M., & Gravier, G. (2022). Affect in Multimedia: Benchmarking Violent Scenes Detection. IEEE Transactions on Affective Computing, 13(1), 347–366, ISI Impact Factor 13.990.
  5. 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, ISI Impact Factor 3.144.
  6. Constantin, M. G., Ştefan, L.-D., Ionescu, B., Duong, N. Q. K., Demarty, C.-H., & Sjöberg, M. (2021). Visual Interestingness Prediction: A Benchmark Framework and Literature Review. International Journal of Computer Vision, 129, 1526–1550, ISI Impact Factor 13.369.

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., & Ionescu, B. (2021). DeepFusion: Deep Ensembles for Domain Independent System Fusion. In MultiMedia Modeling (pp. 240–252). Cham: Springer International Publishing.
  3. 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.
  4. Dogariu, M., Ştefan, L.-D., Boteanu, B. A., Lamba, C., & Ionescu, B. (2021). Towards Realistic Financial Time Series Generation via Generative Adversarial Learning. In 29th European Signal Processing Conference (EUSIPCO) (pp. 1341–1345).
  5. 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.
  6. Dogariu, M., Ştefan, 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.
  7. Ştefan, 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.
  8. 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.
  9. Ştefan, L.-D., 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. Ştefan, L.-D., Constantin, M. G., Dogariu, M., & Ionescu, B. (2023). Overview of ImageCLEFfusion 2023 Task - Testing Ensembling Methods in Diverse Scenarios. In Conference and Labs of the Evaluation Forum.
  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. Ștefan, 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 Conference and Labs of the Evaluation Forum.
  4. Berari, R., Tăuteanu, A., Fichou, D., Brie, P., Dogariu, M., Ştefan, L.-D., Constantin, M. G., & Ionescu, B. (2021). Overview of the 2021 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn and Digital Website UIs.
  5. 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.
  6. Fichou, D., Berari, R., Brie, P., Dogariu, M., Ştefan, L.-D., Constantin, M. G., & Ionescu, B. (2020). Overview of the 2020 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn Website UIs. In Conference and Labs of the Evaluation Forum.
  7. Ştefan, L.-D., Cid, Y. D., del Toro, O. A. J., Ionescu, B., & Müller, H. (2017). Finding and Classifying Tuberculosis Types for a Targeted Treatment: MedGIFT-UPB Participation in the ImageCLEF 2017 Tuberculosis Task. In Conference and Labs of the Evaluation Forum.
  8. Ştefan, L.-D., Ionescu, B., & Müller, H. (2017). Generating Captions for Medical Images with a Deep Learning Multi-hypothesis Approach: ImageCLEF 2017 Caption Task. In Conference and Labs of the Evaluation Forum.
  9. Toma, A., Ştefan, L.-D., & Ionescu, B. (2017). UPB HES SO @ PlantCLEF 2017: Automatic Plant Image Identification using Transfer Learning via Convolutional Neural Networks. In Conference and Labs of the Evaluation Forum.