Anton Milan

9.5k total citations · 2 hit papers
17 papers, 3.8k citations indexed

About

Anton Milan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Anton Milan has authored 17 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Anton Milan's work include Video Surveillance and Tracking Methods (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Neural Network Applications (5 papers). Anton Milan is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Neural Network Applications (5 papers). Anton Milan collaborates with scholars based in Australia, Germany and Switzerland. Anton Milan's co-authors include Ian Reid, Chunhua Shen, Guosheng Lin, Konrad Schindler, Stefan Roth, Umar Iqbal, Jüergen Gall, Anthony Dick, S. Hamid Rezatofighi and Qinfeng Shi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and The International Journal of Robotics Research.

In The Last Decade

Anton Milan

17 papers receiving 3.7k citations

Hit Papers

RefineNet: Multi-path Refinement Networks for High-Resolu... 2013 2026 2017 2021 2017 2013 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anton Milan Australia 14 3.0k 1.0k 433 422 258 17 3.8k
Yadong Mu China 26 3.5k 1.2× 1.3k 1.3× 617 1.4× 301 0.7× 331 1.3× 95 4.8k
S. M. Ali Eslami United Kingdom 8 3.6k 1.2× 1.4k 1.4× 449 1.0× 458 1.1× 132 0.5× 15 4.6k
Georgia Gkioxari United States 18 3.2k 1.1× 1.2k 1.1× 342 0.8× 511 1.2× 434 1.7× 28 4.9k
Peng Zheng China 5 2.0k 0.7× 662 0.6× 426 1.0× 368 0.9× 222 0.9× 5 3.6k
Honggang Qi China 20 3.4k 1.1× 1.0k 1.0× 354 0.8× 606 1.4× 163 0.6× 101 4.9k
Jianyuan Guo China 15 2.9k 1.0× 931 0.9× 646 1.5× 472 1.1× 317 1.2× 22 4.6k
Guodong Zhang China 8 3.3k 1.1× 809 0.8× 725 1.7× 543 1.3× 225 0.9× 35 4.4k
Yuwen Xiong Canada 10 3.9k 1.3× 886 0.9× 767 1.8× 644 1.5× 238 0.9× 17 5.1k
Haozhi Qi United States 9 3.4k 1.1× 791 0.8× 727 1.7× 608 1.4× 241 0.9× 17 4.6k
Kai Han China 21 3.1k 1.0× 1.1k 1.1× 652 1.5× 474 1.1× 381 1.5× 48 5.0k

Countries citing papers authored by Anton Milan

Since Specialization
Citations

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

Fields of papers citing papers by Anton Milan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anton Milan

This figure shows the co-authorship network connecting the top 25 collaborators of Anton Milan. A scholar is included among the top collaborators of Anton Milan 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 Anton Milan. Anton Milan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Luo, Wenhan, Junliang Xing, Anton Milan, et al.. (2020). Multiple object tracking: A literature review. Artificial Intelligence. 293. 103448–103448. 84 indexed citations
2.
Milan, Anton, et al.. (2019). Estimating Uncertainty in Instance Segmentation using Dropout Sampling. 1 indexed citations
3.
Lin, Guosheng, Fayao Liu, Anton Milan, Chunhua Shen, & Ian Reid. (2019). RefineNet: Multi-Path Refinement Networks for Dense Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(5). 1–1. 112 indexed citations
4.
Rezatofighi, S. Hamid, Anton Milan, Qinfeng Shi, Anthony Dick, & Ian Reid. (2018). Joint Learning of Set Cardinality and State Distribution. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 3 indexed citations
5.
Schwarz, Max, Anton Milan, Christian Lenz, et al.. (2017). NimbRo picking: Versatile part handling for warehouse automation. 3032–3039. 46 indexed citations
6.
Iqbal, Umar, Anton Milan, & Jüergen Gall. (2017). PoseTrack: Joint Multi-person Pose Estimation and Tracking. 4654–4663. 138 indexed citations
7.
Milan, Anton, S. Hamid Rezatofighi, Ravi Garg, Anthony Dick, & Ian Reid. (2017). Data-Driven Approximations to NP-Hard Problems. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 27 indexed citations
8.
Schwarz, Max, Anton Milan, Arul Selvam Periyasamy, & Sven Behnke. (2017). RGB-D object detection and semantic segmentation for autonomous manipulation in clutter. The International Journal of Robotics Research. 37(4-5). 437–451. 106 indexed citations
9.
Rezatofighi, S. Hamid, Anton Milan, Qinfeng Shi, Anthony Dick, & Ian Reid. (2017). Joint Learning of Set Cardinality and State Distribution. arXiv (Cornell University). 3968–3975. 3 indexed citations
10.
Lin, Guosheng, Anton Milan, Chunhua Shen, & Ian Reid. (2017). RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 5168–5177. 2172 indexed citations breakdown →
11.
Milan, Anton, Laura Leal-Taixé, Konrad Schindler, & Ian Reid. (2015). Joint tracking and segmentation of multiple targets. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 5397–5406. 116 indexed citations
12.
Milan, Anton, Konrad Schindler, & Stefan Roth. (2015). Multi-Target Tracking by Discrete-Continuous Energy Minimization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(10). 2054–2068. 139 indexed citations
13.
Rezatofighi, S. Hamid, Anton Milan, Zhen Zhang, et al.. (2015). Joint Probabilistic Data Association Revisited. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 3047–3055. 216 indexed citations
14.
Milan, Anton, Stefan Roth, & Konrad Schindler. (2013). Continuous Energy Minimization for Multitarget Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(1). 58–72. 398 indexed citations breakdown →
15.
Milan, Anton, Konrad Schindler, & Stefan Roth. (2013). Detection- and Trajectory-Level Exclusion in Multiple Object Tracking. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 3682–3689. 140 indexed citations
16.
Tang, Siyu, Mykhaylo Andriluka, Anton Milan, et al.. (2013). Learning People Detectors for Tracking in Crowded Scenes. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1049–1056. 62 indexed citations
17.
Milan, Anton, Konrad Schindler, & Stefan Roth. (2013). Challenges of Ground Truth Evaluation of Multi-target Tracking. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 735–742. 54 indexed citations

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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