Thao Minh LE

Research Fellow
Applied Artificial Intelligence Institute
Deakin University, Australia

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My research interests focus on deep learning and machine learning techniques for visual perception, and vision and language reasoning. These capabilities are the key elements required of the next generation of virtual assistant systems. Real-world applications of these systems include security and safety services, healthcare.

  • [Aug 19, 2022] Our paper Guiding Visual Question Answering with Attention Priors is accepted at WACV'23, round 1 (Acceptance rate 22%). Pytorch implementation will be available soon.
  • [Jul 9, 2022] Our paper Video Dialog as Conversation about Objects Living in Space-Time is accepted at ECCV'22. Pytorch implementation is be available on Github.
  • [Jun 6, 2022] Thrilled to receive an academic promotion to Research Fellow at Deakin University.
  • [Mar 30, 2022] I gave a talk on Reasoning Over Vision and Language at FPT Software AI Center's webinar.
  • [Sep 16, 2021] I officially got my PhD from Deakin University.
  • [Aug 6, 2021] Our manuscript Hierarchical Conditional Relation Networks for Multimodal Video Question Answering has been accepted for publication in International Journal of Computer Vision (IJCV).
  • [Jun 29, 2021] Our paper GEFA: Early Fusion Approach in Drug-Target Affinity Prediction is accepted to the IEEE/ACM Transactions on Computational Biology and Bioinformatics.
  • [May 10, 2021] Our tutorial From Deep Learning to Deep Reasoning will be held as part of KDD 2021.
  • [May, 2021] I started working for A2I2@Deakin as a postdoctoral researcher after submitting my doctoral thesis titled Deep Neural Networks for Visual Reasoning on May 10, 2021.
  • [May 1, 2021] Our paper Hierarchical Object-oriented Spatio- Temporal Reasoning for Video Question Answering is accepted at IJCAI'21, acceptance rate 13.9% (587/4204). Code will be available soon!
  • [Apr 11, 2021] Our tutorial Neural Machine Reasoning will be held as part of IJCAI 2021.

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