Ali Dabouei

Graduate Research Assistant, West virginia University.

I am a PhD candidate in the Department of Computer Science and Electrical Engineering at West Virginia University, working with Prof. Nasrabadi. I am interested in deep learning, machine learning (ML), mathematics, pattern recognition, and computer vision. Currently, I am studying adversarial ML, network compression, interpretable ML, and unsupervised representation learning. I am also working on applications of deep learning in computer vision and biometrics.

Interests

I am passionate about any ML and CV topic, but currently, these are the specials:

  • Adversarial ML
  • Network Compression
  • Interpretable ML
  • Unsupervised Learning

news

May 1, 2021 Selected as outstading reviewer in CVPR-2021.
Mar 25, 2021 Two papers accepted at CVPR-2021.
Aug 17, 2020 Started internship at Microsoft.
May 5, 2020 One paper accepted at ECCV-2020.

selected publications

  1. SuperMix: Supervising the Mixing Data Augmentation
    Dabouei, Ali, Soleymani, Sobhan, Taherkhani, Fariborz, and Nasrabadi, Nasser M.
    In CVPR 2021
  2. Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification
    Taherkhani, Fariborz, Dabouei, Ali, Soleymani, Sobhan, Dawson, Jeremy, and Nasrabadi, Nasser M.
    In CVPR 2021
  3. Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
    Soleymani, Sobhan, Dabouei, Ali, Taherkhani, Fariborz, Dawson, Jeremy, and Nasrabadi, Nasser M.
    In WACV 2021
  4. Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning
    Taherkhani, Fariborz, Dabouei, Ali, Soleymani, Sobhan, Dawson, Jeremy, and Nasrabadi, Nasser M.
    In ECCV 2020
  5. Attribute Adaptive Margin Softmax Loss using Privileged Information
    Iranmanesh, Mehdi, Dabouei, Ali, and Nasrabadi, Nasser M.
    In BMVC 2020
  6. Exploiting Joint Robustness to Adversarial Perturbations
    Dabouei, Ali, Soleymani, Sobhan, Taherkhani, Fariborz, Dawson, Jeremy, and Nasrabadi, Nasser M.
    In CVPR 2020
  7. SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
    Dabouei, Ali, Soleymani, Sobhan, Taherkhani, Fariborz, Dawson, Jeremy, and Nasrabadi, Nasser M.
    In WACV 2020
  8. Boosting Deep Face Recognition via Disentangling Appearance and Geometry
    Dabouei, Ali, Taherkhani, Fariborz, Soleymani, Sobhan, Dawson, Jeremy, and Nasrabadi, Nasser M.
    In WACV 2020
  9. Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces
    Iranmanesh, Seyed Mehdi, Dabouei, Ali, Soleymani, Sobhan, Kazemi, Hadi, and Nasrabadi, Nasser
    In WACV 2020
  10. A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision
    Taherkhani, Fariborz, Kazemi, Hadi, Dabouei, Ali, Dawson, Jeremy, and Nasrabadi, Nasser M.
    In ICCV 2019
  11. Fast Geometrically-Perturbed Adversarial Faces
    Dabouei, Ali, Soleymani, Sobhan, Dawson, Jeremy, and Nasrabadi, Nasser M.
    In WACV 2019