Hakan Bilen

48 papers receiving 1.8k citations

Hit Papers

Dynamic Image Networks for Action Recognition20162026201920222016100200300

Peers

Hakan Bilen
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 1.4k
  • Artificial Intelligence 985
  • Biomedical Engineering 220
  • Human-Computer Interaction 118
  • Ocean Engineering 91
Replace Honggang Zhang with:
Honggang Zhang China
Zhaofan Qiu China
Joanna Materzyńska Mexico
Qi She Hong Kong
Shilei Wen China
Jian Zhao China
Yonglong Tian United States
Zsolt Kira United States
Bo Dai China
Peizhao Zhang United States
Hakan Bilen relative to Honggang Zhang China Honggang Zhang's profile →
Citations per field
00.5×1.5×2.2×
Honggang Zhang · 1×
Citations per year

Countries citing papers authored by Hakan Bilen

Since Specialization
Citations

This map shows the geographic impact of Hakan Bilen'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 Hakan Bilen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hakan Bilen more than expected).

Fields of papers citing papers by Hakan Bilen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hakan Bilen. 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 Hakan Bilen. The network helps show where Hakan Bilen may publish in the future.

Co-authorship network of co-authors of Hakan Bilen

This figure shows the co-authorship network connecting the top 25 collaborators of Hakan Bilen. A scholar is included among the top collaborators of Hakan Bilen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hakan Bilen. Hakan Bilen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 0
4 5
5 13
6 1
7 2
8 19
9 3
10
Dataset Condensation with Gradient Matching
3
11
Neural Feature Matching in Implicit 3D Representations
2
12 5
13 12
14
Modelling and unsupervised learning of symmetric deformable object categories
5
15
Conditional Image Generation for Learning the Structure of Visual Objects.
7
16
Learning multiple visual domains with residual adapters
270
17
Unsupervised object learning from dense equivariant image labelling
4
18 221
19
Dynamic Image Networks for Action Recognitionbreakdown →
376
20
Weakly Supervised Object Detection with Posterior Regularization
52

About Hakan Bilen

Hakan Bilen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (15 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (985 citations) and Human-Computer Interaction (118 citations). Hakan Bilen has collaborated with scholars based in United Kingdom, Belgium and Japan. Frequent co-authors include Andrea Vedaldi, Basura Fernando, Efstratios Gavves, Stephen Jay Gould, Sylvestre-Alvise Rebuffi, Marco Pedersoli, Tinne Tuytelaars, Bo Zhao, Xialei Liu and Weihong Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Journal of Petroleum Science and Engineering.

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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