Mr Sadegh Aliakbarian

I'm a PhD student at the Australian National University and Australian Centre for Robotic Vision (ACRV). I'm honored to work under supervision of Dr. Lars Petersson (ANU/CSIRO), Dr. Mathieu Salzmann (EPFL), and Dr. Basura Fernando (ACRV/A-STAR) and have pieces of advice from Dr. Stephen Gould (ANU/ACRV). My areas of interests are in Machine Learning and AI, with focus on generative models and deep learning approaches for computer vision problems. Find out more about my research here. Here is my CV.

Computer Vision and Machine Learning

Generative Models

Deep Sequence Learning

VIENA2: A Driving Anticipation Dataset
Mohammad Sadegh Aliakbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson
Asian Conference on Computer Vision (ACCV 2018)
The VIENA2 dataset is available here.
PDF Bibtex Abstract
Effective Use of Synthetic Data in Urban Scene Semantic Segmentation
Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez
European Conference on Computer Vision (ECCV 2018)
The VEIS dataset is available here.
PDF Bibtex Abstract
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation
Fatemeh Saleh, Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M Alvarez, Stephen Gould
IEEE transactions on pattern analysis and machine intelligence (TPAMI 2018)
PDF Bibtex Abstract
Encouraging LSTMs to Anticipate Actions Very Early
Mohammad Sadegh Aliakbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson and Lars Andersson
International Conference on Computer Vision (ICCV 2017)
State-of-the-art in action anticipation!
PDF Bibtex Abstract
Bringing background into the foreground: Making all classes equal in weakly-supervised video semantic segmentation
Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M Alvarez
International Conference on Computer Vision (ICCV 2017)
The first weakly-supervised video semantic segmentation approach.
PDF Bibtex Abstract
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
Fatemehsadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, Jose M. Alvarez
European Conference on Computer Vision (ECCV 2016)
PDF Bibtex Abstract

 

  • Recipient of €18K grant for R&D from Qualcomm AI Research, 2018
  • Recipient of full scholarship award from ANU of $94K, Australia, 2016
  • Recipient of travel grant award from ANU of $7K, Australia, 2016
  • Recipient of CSIRO Top-up Award of $35K, Australia, 2016
  • Recipient of NICTA Project grant of $10K, Australia, 2016

 

Australian National University / Data61|CSIRO

  • PhD Scholar Student, Computer Science and Machine Learning, 2016-Current

 

Isfahan University of Technology, Iran

  • B.Sc. Student, Computer Software Engineering, 2009-2013

Updated:  1 June 2019/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing