Bernard Ghanem

View Scopus Profile

Bernard Ghanem

 https://orcid.org/0000-0002-5534-587X
Calculated based on number of publications stored in Pure and citations from Scopus
20052025

Research activity per year

Personal profile

Research Overview

Professor Ghanem's research interests focus on topics in computer vision, machine learning, and image processing. They include: Modeling dynamic objects in video sequences to improve motion segmentation, video compression, video registration, motion estimation, and activity recognition. Developing efficient optimization and randomization techniques for large-scale computer vision and machine learning problems. Exploring novel means of involving human judgment to develop more effective and perceptually-relevant recognition and compression techniques. Developing frameworks for joint representation and classification by exploiting data sparsity and low-rankness.

Key Research Areas

Computer Science, Electrical Engineering, Visual Computing, Machine Learning

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

Education

Electrical and Computer Engineering, Ph.D., University of Illinois at Urbana-Champaign

2010

Award Date: Jan 1 2010

Electrical and Computer Engineering, M.S., University of Illinois at Urbana-Champaign

2008

Award Date: Jan 1 2008

Computer and Communication Engineering, B.E., American University of Beirut

2005

Award Date: Jan 1 2005

Fingerprint

Dive into the research topics where Bernard Ghanem is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles
View full fingerprint

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Explore network further

  • Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models

    Castillo, A., Kohler, J., Pérez, J. C., Pérez, J. P., Pumarola, A., Ghanem, B., Arbeláez, P. & Thabet, A., Apr 11 2025, Special Track on AI Alignment. Walsh, T., Shah, J. & Kolter, Z. (eds.). 2 ed. Association for the Advancement of Artificial Intelligence, p. 1962-1970 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access

  • ColorMAE: Exploring Data-Independent Masking Strategies in Masked AutoEncoders

    Hinojosa, C., Liu, S. & Ghanem, B., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 432-449 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15078 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • DATENeRF: Depth-Aware Text-Based Editing of NeRFs

    Rojas, S., Philip, J., Zhang, K., Bi, S., Luan, F., Ghanem, B. & Sunkavalli, K., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 267-284 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15069 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Efficient Image Pre-training with Siamese Cropped Masked Autoencoders

    Eymaël, A., Vandeghen, R., Cioppa, A., Giancola, S., Ghanem, B. & Van Droogenbroeck, M., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 348-366 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15081 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning

    Li, X., Yang, Y., Li, X., Wu, J., Yu, Y., Ghanem, B. & Zhang, M., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 306-325 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15126 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations

  • Machine learning for the advancement of membrane science and technology: A critical review

    Ignacz, G., Bader, L., Beke, A. K., Ghunaim, Y., Shastry, T., Vovusha, H., Carbone, M. R., Ghanem, B. & Szekely, G., Jan 2025, In: Journal of Membrane Science. 713, 123256.

    Research output: Contribution to journal › Review article › peer-review

    Open Access
    19 Scopus citations

  • Mindstorms in natural language-based societies of mind

    Zhuge, M., Liu, H., Faccio, F., Ashley, D. R., Csordás, R., Gopalakrishnan, A., Hamdi, A., Hammoud, H. A. A. K., Herrmann, V., Irie, K., Kirsch, L., Li, B., Li, G., Liu, S., Mai, J., Piȩkos, P., Ramesh, A. A., Schlag, I., Shi, W. & Stanić, A. & 6 others, Wang, W., Wang, Y., Xu, M., Fan, D. P., Ghanem, B. & Schmidhuber, J., 2025, In: Computational Visual Media. 11, 1, p. 29-81 53 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • On Pretraining Data Diversity for Self-Supervised Learning

    Al Kader Hammoud, H. A., Das, T., Pizzati, F., Torr, P. H. S., Bibi, A. & Ghanem, B., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 54-71 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15114 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations
View all 287 Research outputs
View all 13 prizes
View all 103 press/media