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Dr. Qi Wu

Lecturer (Assistant Professor)

qi.wu01@adelaide.edu.au

NEWS

10-2018

We just opened 3 postdoc positions! Check here!

10-2018

One paper is accepted by IEEE TPAMI!

07-2018

One paper is accepted by ECCV'18.

07-2018

One of our CVPR paper won the NVIDIA Pioneering Research Award.

06-2018

I will organize a workshop on Integrating Vision and Language in ACCV 2018.

05-2018

One paper is accepted by MICCAI'18.

02-2018

Six papers are accepted by CVPR'18! One oral, two spotlight and three poster!

02-2018

Our Vision-Language-Action tutorial has been accepted by ACL 2018.

02-2018

I have joined University of Adelaide as a Lecturer (Assistant Professor).

02-2018

One paper is accepted by IEEE TMM!.

12-2017

One paper is accepted by NIPS Workshop 2017, Oral!

11-2017

Two papers are accepted by AAAI 2018, one Oral and one Spotlight!

09-2017

Our work has been awarded by Facebook's Research and Academic Program.

09-2017

Our FVQA dataset is released.

08-2017

One paper is accepted by IEEE TPAMI.

08-2017

One paper is accepted by IEEE SPM.

04-2017

One paper is accepted by IJCAI.

03-2017

One Paper is accepted by IEEE TPAMI.

03-2017

One paper is accepted by IEEE CVIU.

03-2017

One paper is accepted by CVPR.

02-2017

Qi has joined the ACRV as an ARC Research Fellow.

12-2016

An invited talk in Northwestern Polytechnical University.

11-2016

An invited tutorial for the international conference DICTA 2016.

08-2016

An invited talk in South Australia IEEE Machine Learning Seminar.

04-2016

Invited speaker in Australia Robotic Vision Summer School.

03-2016

Two papers are accepted by CVPR.

08-2015

We place No.1 on the Microsoft COCO Captioning Challenge leader board!

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CV

Dr. Qi Wu (吴琦) is a Lecturer (Assistant Professor) in the University of Adelaide and he is an Associate Investigator in the Australia Centre for Robotic Vision (ACRV). He is working with Prof. Anton van den Hengel, Prof. Ian Reid and Prof Chunhua Shen. Prior to joining the ACRV, Dr.Wu worked as a Senior Research Associate at the Australia Centre for Visual Technology (ACVT). He obtained his PhD degree in 2015 and MSc degree in 2011, in Computer Science from the University of Bath, United Kingdom. His educational background is primarily in computer science and mathematics. He is also the CTO of the Vismarty co. Ltd.

Research Interestes:

Dr. Wu's research interests are mainly in Computer Vision and Machine Learning. His previous research projects include modeling visual objects regardless of depictive styles and image understanding using contextual cues. He is currently working on the Vision and Language problems, incuding Image Captioning, Visual Question Answering, Visual Dialog etc.

Working Experience:

  • Lecturer (Assistant Professor) at the School of Computer Science at the University of Adelaide. Australia, 2018 - present
  • ARC Senior Research Associate at Australia Centre for Robotic Vision (ACRV) at the University of Adelaide. Australia, 2017 - 2018
  • Senior Research Associate at Australia Centre for Visual Technology (ACVT) at the University of Adelaide. Australia, 2015 - 2017
  • Intern at Image and Visual Computing (IVC) Lab, Lenovo Research & Technology (R&T), Hong Kong & Shenzhen. Working with Dr. Li Xu. 2014.

Education:

  • PhD., Major in Computing Science, Supervised by Dr. Peter Hall, Media Technology Research Centre, Department of Computer Science, University of Bath, Bath, United Kingdom, 2011-2015.
  • MSc., Major in Advanced Computer System: Global Computing & Media Technology, Supervised by Dr. Peter Hall, Department of Computer Science, University of Bath, Bath, United Kingdom, 2010-2011.
  • B.A., Major in Information and Computing Science, College of Science, China Jiliang University, Hangzhou, China, 2006-2010.

Professional Activities:

  • Journal Reviewer: IJCV, IEEE TNNLS, IEEE TMM, PR, TIP, ACM TOMM, Neurocomputing
  • Conf. Reviewer: CVPR, ECCV, BMVC, DICTA
  • Programme Committee: ECCV 2016, DICTA 2015, 2016, 2017.

Grants and Awards:

  • CERA grants, Answer Me Why:Explainability is Critical if We are to Trust Automated Decision Making, 98,000 AUD
  • CERA grants, Robust long-term Autonomous Navigation, 98,000 AUD
  • Facebook's Research and Academic Relations Program, Treasure Hunt: Natural Language Navigation in Diverse Indoor Spaces., 19,800 USD