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Methods and Approaches

Affiliated Faculty

Recent Publications

  1. Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi, “Exploiting Joint Robustness to Adversarial Perturbations,” Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, 2020, Seattle, Washington.
  2. Seyed Mehdi Iranmanesh, Ali Dabouei, >Nasser M. Nasrabadi, “Attribute Adaptive Margin Softmax Loss Using Privileged Information,” 31st British Machine Vision Conference, 7-11 Sept. 2020.
  3. Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi, “Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning,” 16th European Conference on Computer Vision (ECCV 2020) 23-28 Aug. 2020.
  4. Stanislav Pidhorskyi, Donald A Adjeroh, Gianfranco Doretto, “Adversarial Latent Autoencoders,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 14104-14113, 2020.
  5. Syed Ashiqur Rahman, Peter Giacobbi, Lee Pyles, Charles Mullett, Gianfranco Doretto, Donald A Adjeroh, “Deep Learning for Biological Age Estimation,” Briefings in Bioinformatics, 2020.
  6. Nasser M. Nasrabadi, “Deep Target: An Automatic Target Recognition Using Deep Convolutional Neural Networks,” IEEE Transactions on Aerospace and Electronic Systems, vol. 55, no. 6, pp. 2687-2697, Dec. 2019.
  7. F. Taherkhani, H Kazemi, A. Dabouei, J. Dawson, N. M. Nasrabadi, “A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision,” IEEE International Conference on Computer Vision (ICCV'19), Oct. 23-Nov.2, 2019, Seoul, Korea.
  8. F. Taherkhani, H. Kazemi, N. M. Nasrabadi, “Matrix Completion for Graph-Based Deep Semi-Supervised Learning”, 33rd AAAI Conference on Artificial Intelligence (AAAI’19), Jan. 27-Feb. 1, 2019, Honolulu, Hawaii.
  9. H. Kazemi, M. Iranmanesh, F. Taherkhani, S. Soleymani, N. M. Nasrabadi, “Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound,” Thirty-second Conference on Neural Information Processing Systems (NIPS’18), 4-6 Dec. 2018, Montreal, Canada.