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Anton van den Hengel

Anton van den Hengel

Award Badge
Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
84
Citations
35253
World Ranking
835
National Ranking
19

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2009 - ACM Senior Member

Overview

Anton van den Hengel is affiliated with the University of Adelaide in Australia and specializes in the field of Computer Science, with a focus on Artificial Intelligence and Computer Vision and Pattern Recognition.

Their research covers several key topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Topic Modeling
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Anomaly Detection Techniques and Applications

Anton van den Hengel has a robust record of publications in prominent scientific venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision

Notable recent papers include:

  • Active Learning by Feature Mixing, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Learning Deep Gradient Descent Optimization for Image Deconvolution, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Towards Effective Deep Embedding for Zero-Shot Learning, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law, 2020, arXiv (Cornell University)
  • The Road to Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent co-authors collaborating with Anton van den Hengel include:

  • Qinfeng Shi
  • Ehsan Abbasnejad
  • Chunhua Shen
  • Dong Gong
  • Johan Verjans

Anton van den Hengel was recognized as an ACM Senior Member in 2009.

Best Publications

  • Deep Learning for Anomaly Detection: A Review

    Guansong Pang;Chunhua Shen;Longbing Cao;Anton Van Den Hengel

  • Image-Based Recommendations on Styles and Substitutes

    Julian McAuley;Christopher Targett;Qinfeng Shi;Anton van den Hengel

  • Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

    Zifeng Wu;Chunhua Shen;Anton van den Hengel

  • Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

    Dong Gong;Lingqiao Liu;Vuong Le;Budhaditya Saha

  • Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

    Guosheng Lin;Chunhua Shen;Anton van den Hengel;Ian Reid

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

    Peter Anderson;Qi Wu;Damien Teney;Jake Bruce

  • A survey of appearance models in visual object tracking

    Xi Li;Weiming Hu;Chunhua Shen;Zhongfei Zhang

  • REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

    José Ignacio Orlando;Huazhu Fu;João Barbossa Breda;Karel van Keer

  • Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs

    Bo Li;Chunhua Shen;Yuchao Dai;Anton van den Hengel

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

    Qi Wu;Chunhua Shen;Lingqiao Liu;Anthony Dick

  • Learning to rank in person re-identification with metric ensembles

    Sakrapee Paisitkriangkrai;Chunhua Shen;Anton van den Hengel

  • FVQA: Fact-Based Visual Question Answering

    Peng Wang;Qi Wu;Chunhua Shen;Anthony Dick

  • Fast Supervised Hashing with Decision Trees for High-Dimensional Data

    Guosheng Lin;Chunhua Shen;Qinfeng Shi;Anton van den Hengel

  • 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

  • From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur

    Dong Gong;Jie Yang;Lingqiao Liu;Yanning Zhang

  • Graph-Structured Representations for Visual Question Answering

    Damien Teney;Lingqiao Liu;Anton van den Hengel

  • Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge

    Damien Teney;Peter Anderson;Xiaodong He;Anton van den Hengel

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

    Qi Wu;Peng Wang;Chunhua Shen;Anthony Dick

  • Deep Anomaly Detection with Deviation Networks

    Guansong Pang;Chunhua Shen;Anton van den Hengel

  • Is face recognition really a Compressive Sensing problem

    Qinfeng Shi;Anders Eriksson;Anton van den Hengel;Chunhua Shen

Frequent Co-Authors

Chunhua Shen
Chunhua Shen Zhejiang University
Anthony Dick
Anthony Dick University of Adelaide
Qinfeng Shi
Qinfeng Shi University of Adelaide
Qi Wu
Qi Wu University of Adelaide
Lingqiao Liu
Lingqiao Liu University of Adelaide
Ian Reid
Ian Reid University of Adelaide
Guosheng Lin
Guosheng Lin Nanyang Technological University
Yanning Zhang
Yanning Zhang Northwestern Polytechnical University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Mingkui Tan
Mingkui Tan South China University of Technology

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