Iman Abbasnejad I am a Senior Machine Learning Research Fellow at The RMIT University working on Generative Models. Before that I was working at Fugro developing machine learning and computer vision techniques for Remotely Operated Underwater Vehicles (ROVs). Previously, I was a PhD student in a joint program between Queensland University of Technology (QUT) and The Robotics Institute (RI). I worked closely with Prof. Simon Lucey and Prof. Sridha Sridharan.

News:

• Ranked 15th in OZ Minerals Explorer Challenge (over 400+ participants). (June, 2019) [details]

Employment and Positions Held:

• Senior Machine Learning Research Scientist, The RMIT University (August 2020-present)
• Computer Vision and Machine Learning Scientist, Fugro neXt (Jan 2020-August 2020)
• Computer Vision and Machine Learning Scientist, MYQ (September 2017-Jan 2020)
• Visiting scholar, University of Adelaide (February 2017-June 2017)
  Supervisor: Ehsan Abbasnejad, Worked on Bayesian conditional generative adverserial networks
• Research Intern, Max Planck Institute for Intelligent Systems: Perceiving Systems Department, Tuebingen, Germany (January 2016-August 2016)
  Supervisor: Michael Black, Worked on AMASS
• Visiting scholar, The Robotics Institute, Pittsburgh, PA, USA (August 2014-January 2016)
  Supervisor: Simon Lucey
• Graduate Researcher, The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD, Australia (October 2013-August 2015)
  Supervisor: Simon Lucey

Selected Publications:

• Gold Seeker: Information Gain from Policy Distributions for Goal-oriented Vision-and-Langauge Reasoning
  E. Abbasnejad, I. Abbasnejad, Q. Wu, , Q. Shi, A. van den Hengel (CVPR 2020) [Link]

• An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks
  E. Abbasnejad, Q. Wu, I. Abbasnejad, Q. Shi, A. van den Hengel [Link]

• Transfer Learning for Facial Emotion Recognition
  D. Nguyen, K. Nguyen, S. Sridharan, I. Abbasnejad, D. Dean, C. Fookes, The 24th International Conference on Pattern Recognition (ICPR), 2018. Beijing, China. [Link]

• Bayesian conditional generative adverserial networks
  E. Abbasnejad, Q. Shi, I. Abbasnejad, A. van den Hengel, A. Dick, 2017. [Link]

• Joint max margin and semantic features for continuous event detection in complex scenes
  I. Abbasnejad, S. Sridharan, S. Denman, C. Fookes, S. Lucey, 2017. [Link]

• From affine rank minimization solution to sparse modeling
  I. Abbasnejad, S. Sridharan, S. Denman, C. Fookes, S. Lucey, IEEE Winter Conference on Applications of Computer Vision (WACV), 2017. Santa Rosa, CA, USA. [Link]

• Using synthetic data to improve facial expression analysis with 3D convolutional networks
  I. Abbasnejad, S. Sridharan, D. Nguyen, S. Denman, C. Fookes, S. Lucey, The IEEE International Conference on Computer Vision (ICCV), 2017. Venice, Italy. [link]

• Incremental Real-Time Multibody VSLAM with Trajectory Optimization Using Stereo Camera
  N. D. Reddy, I. Abbasnejad, Sh. Reddy, A. K. Mondal, V. Devalla The IEEE International Conference on Intelligent Robots and Systems (IROS), 2016. Daejeon, Korea. [link]

• Complex Event Detection using Joint Max Margin and Semantic Features
  I. Abbasnejad, S. Sridharan, S. Denman, C. Fookes, S. Lucey, International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2016, Gold Coast, QLD, Australia. [link]

• Learning temporal alignment uncertainty for efficient event detection
  I. Abbasnejad, S. Sridharan, S. Denman, C. Fookes, S. Lucey, International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2015, Adelaide, SA, Australia. [link]

• A Hierarchical Bayesian Network for Face Recognition Using 2D and 3D Facial Data
  I. Abbasnejad, D. Teney, IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2015. Boston, MA, USA. [link]

• Combination of multi-class SVM and multi-class NDA for face recognition
  I. Abbasnejad, M. J. Zomorodian, E. Tabatabaei Yazdi, International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2013, Auckland, New Zealand.

• Pose recognition using mixture of exponential family
  I. Abbasnejad, M. J. Zomorodian, M. A. Abbasnejad, H. Ajdari, The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012). Shiraz, Iran. [link]

Awards/Honors:

• DAAD Postdoc-NeT-AI, Federal Ministry of Education and Research, Germany, 2021
• Max Planck Scholarship Award (2016)
• CSIRO Scholarship (2014)
• Queensland University of Technology, Postgraduate Research Scholarship (2013)

Thesis:

• Learning spatio-temporal features for efficient event detection
  I. Abbasnejad, PhD Thesis, Queensland University of Technology [link]

• Hierarchical Face Representation and Recognition Using Bayesian Network
  I. Abbasnejad, MSc Thesis, Shiraz University

Contact Details:

• Email: abbasnejad (dot) iman (at) gmail (dot) com

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