World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
48
Citations
10513
World Ranking
360
National Ranking
21

Computer Science

D-Index
48
Citations
10431
World Ranking
6133
National Ranking
190

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Qi Wu is affiliated with the University of Adelaide in Australia and has a research focus primarily in the field of Computer Science. Their scholarly work encompasses several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing, and Neurology.

The research topics addressed in Qi Wu's publications include:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Topic Modeling
  • Natural Language Processing Techniques
  • Video Analysis and Summarization

Qi Wu has contributed extensively to the scientific literature, with notable recent papers such as:

  • MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Overcoming Language Priors in VQA via Decomposed Linguistic Representations, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-Modal Retrieval, 2020, IEEE Transactions on Multimedia
  • Referring Expression Comprehension: A Survey of Methods and Datasets, 2020, IEEE Transactions on Multimedia
  • Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

The venues in which Qi Wu has frequently published include:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among the frequent collaborators working with Qi Wu are co-authors Peng Wang, Xin Wang, Wenwu Zhu, and Xiaodong He, with multiple joint publications.

Qi Wu has also contributed to academic book publishing, including a title published by Springer International Publishing titled Visual Question Answering from 2022.

Best Publications

  • Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

    Peter Anderson;Qi Wu;Damien Teney;Jake Bruce

  • What Value Do Explicit High Level Concepts Have in Vision to Language Problems

    Qi Wu;Chunhua Shen;Lingqiao Liu;Anthony Dick

  • FVQA: Fact-Based Visual Question Answering

    Peng Wang;Qi Wu;Chunhua Shen;Anthony Dick

  • Image Captioning and Visual Question Answering Based on Attributes and External Knowledge

    Qi Wu;Chunhua Shen;Peng Wang;Anthony Dick

  • Visual question answering: A survey of methods and datasets

    Qi Wu;Damien Teney;Peng Wang;Chunhua Shen

  • Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources

    Qi Wu;Peng Wang;Chunhua Shen;Anthony Dick

  • Medical image classification using synergic deep learning.

    Jianpeng Zhang;Yutong Xie;Qi Wu;Yong Xia

  • Learning Semantic Concepts and Order for Image and Sentence Matching

    Yan Huang;Qi Wu;Chunfeng Song;Liang Wang

  • Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning

    Shizhe Chen;Yida Zhao;Qin Jin;Qi Wu

  • REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments

    Yuankai Qi;Qi Wu;Peter Anderson;Xin Wang

  • Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks

    Peng Wang;Qi Wu;Jiewei Cao;Chunhua Shen

  • Say As You Wish: Fine-Grained Control of Image Caption Generation With Abstract Scene Graphs

    Shizhe Chen;Qin Jin;Peng Wang;Qi Wu

  • Explicit Knowledge-based Reasoning for Visual Question Answering

    Peng Wang;Qi Wu;Chunhua Shen;Anthony R. Dick

  • Multilabel Image Classification With Regional Latent Semantic Dependencies

    Junjie Zhang;Qi Wu;Chunhua Shen;Jian Zhang

  • Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation

    Yazhou Yao;Tao Chen;Guo-Sen Xie;Chuanyi Zhang

  • VLN↻BERT: A Recurrent Vision-and-Language BERT for Navigation

    Yicong Hong;Qi Wu;Yuankai Qi;Cristian Rodriguez-Opazo

  • Visual Grounding via Accumulated Attention

    Chaorui Deng;Qi Wu;Qingyao Wu;Fuyuan Hu

  • Jo-SRC: A Contrastive Approach for Combating Noisy Labels

    Yazhou Yao;Zeren Sun;Chuanyi Zhang;Fumin Shen

  • Explicit Knowledge-based Reasoning for Visual Question Answering

    Peng Wang;Qi Wu;Chunhua Shen;Anton van den Hengel

  • Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries

    Bohan Zhuang;Qi Wu;Chunhua Shen;Ian Reid

  • A Recurrent Vision-and-Language BERT for Navigation

    Yicong Hong;Qi Wu;Yuankai Qi;Cristian Rodriguez-Opazo

  • Image Captioning and Visual Question Answering Based on Attributes and External Knowledge

    Qi Wu;Chunhua Shen;Anton van den Hengel;Peng Wang

  • Visual Grounding via Accumulated Attention.

    Chaorui Deng;Qi Wu;Qingyao Wu;Fan Lyu

Frequent Co-Authors

Anton van den Hengel
Anton van den Hengel University of Adelaide
Chunhua Shen
Chunhua Shen Zhejiang University
Mingkui Tan
Mingkui Tan South China University of Technology
Anthony Dick
Anthony Dick University of Adelaide
Jian Zhang
Jian Zhang University of Technology Sydney
Ian Reid
Ian Reid University of Adelaide
Stephen Gould
Stephen Gould Australian National University
Liang Wang
Liang Wang Chinese Academy of Sciences
Lingqiao Liu
Lingqiao Liu University of Adelaide
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China

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