Anton van den Hengel

26.0k citations
239 papers · 13.2k indexed · 9 hit papers · h-index 52

Anton van den Hengel

231 papers receiving 12.8k citations

Hit Papers

Memorizing Normality to Detect Anomaly: Memory...1.0k20132026201720214008001.2k

Peers

Anton van den Hengel
Comparison fields: 5 of 182
  • Computer Vision and Pattern Recognition 9.2k
  • Artificial Intelligence 5.2k
  • Media Technology 1.3k
  • Signal Processing 556
  • Geology 282
Replace Rahul Sukthankar with:
Rahul Sukthankar United States
Larry S. Davis United States
Steven C. H. Hoi Singapore
Hanqing Lu China
Junsong Yuan Singapore
Rongrong Ji China
David McAllester United States
Chang Xu China
Qingming Huang China
Jun Yu China
Anton van den Hengel relative to Rahul Sukthankar United States Rahul Sukthankar's profile →
Citations per field
00.5×
Rahul Sukthankar · 1×
Citations per year

Countries citing papers authored by Anton van den Hengel

Since Specialization
Citations

This map shows the geographic impact of Anton van den Hengel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anton van den Hengel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton van den Hengel more than expected).

Fields of papers citing papers by Anton van den Hengel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anton van den Hengel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anton van den Hengel. The network helps show where Anton van den Hengel may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Anton van den Hengel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anton van den Hengel Line = papers co-authored together Anton van den Hengel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20242
3 20241
4 20241
5 202213
6 202137
7 202056
8 202020
9
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
20207
10
Wider or Deeper: Revisiting the ResNet Model for Visual Recognitionbreakdown →
20191015
11 201915
12 201916
13 201863
14 201850
15 2017289
16 2017289
17 20179
18 201640
19 200918
20
Computing Image-Based Reprojection Error on Graphics Hardware
20031

About Anton van den Hengel

Anton van den Hengel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 239 papers that have together received 13.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (54 papers), Advanced Vision and Imaging (52 papers), Video Surveillance and Tracking Methods (43 papers), Multimodal Machine Learning Applications (39 papers), Domain Adaptation and Few-Shot Learning (37 papers), Robotics and Sensor-Based Localization (29 papers), Human Pose and Action Recognition (27 papers) and Anomaly Detection Techniques and Applications (27 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.2k citations), Artificial Intelligence (5.2k citations) and Media Technology (1.3k citations). Anton van den Hengel has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Chunhua Shen, Qinfeng Shi, Anthony Dick, Zifeng Wu, Qi Wu, Julian McAuley, Lingqiao Liu, Guosheng Lin, Sakrapee Paisitkriangkrai and Dong Gong.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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