Siniša Šegvić

1.2k total citations
55 papers, 601 citations indexed

About

Siniša Šegvić is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Siniša Šegvić has authored 55 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 14 papers in Aerospace Engineering. Recurrent topics in Siniša Šegvić's work include Advanced Vision and Imaging (16 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Neural Network Applications (15 papers). Siniša Šegvić is often cited by papers focused on Advanced Vision and Imaging (16 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Neural Network Applications (15 papers). Siniša Šegvić collaborates with scholars based in Croatia, Austria and France. Siniša Šegvić's co-authors include Anthony Remazeilles, François Chaumette, Albert Diosi, Karla Brkić, Josip Krapac, Samo Ribarič, Axel Pinz, Zoran Kalafatić, Gerald Schweighofer and Ivan Barišić and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Current Biology and IEEE Transactions on Industrial Electronics.

In The Last Decade

Siniša Šegvić

53 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siniša Šegvić Croatia 15 481 203 110 79 41 55 601
Yohann Cabon South Korea 6 615 1.3× 231 1.1× 118 1.1× 83 1.1× 67 1.6× 11 776
Anton Konushin Russia 13 446 0.9× 98 0.5× 77 0.7× 54 0.7× 50 1.2× 63 640
Weixun Zuo Hong Kong 6 442 0.9× 101 0.5× 60 0.5× 109 1.4× 55 1.3× 7 584
Qiong Liu China 14 525 1.1× 164 0.8× 109 1.0× 102 1.3× 22 0.5× 67 676
Yiming Cui United States 14 547 1.1× 109 0.5× 143 1.3× 65 0.8× 24 0.6× 21 727
Raoul de Charette France 11 589 1.2× 171 0.8× 122 1.1× 94 1.2× 107 2.6× 23 816
Jiaolong Xu Spain 13 681 1.4× 131 0.6× 210 1.9× 126 1.6× 52 1.3× 26 887
Yunzuo Zhang China 13 518 1.1× 139 0.7× 84 0.8× 88 1.1× 19 0.5× 62 700
Kunyu Peng Germany 11 395 0.8× 82 0.4× 111 1.0× 43 0.5× 50 1.2× 34 561

Countries citing papers authored by Siniša Šegvić

Since Specialization
Citations

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

Fields of papers citing papers by Siniša Šegvić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siniša Šegvić

This figure shows the co-authorship network connecting the top 25 collaborators of Siniša Šegvić. A scholar is included among the top collaborators of Siniša Šegvić 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 Siniša Šegvić. Siniša Šegvić 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
1.
Šegvić, Siniša, et al.. (2024). Quantile-Based Maximum Likelihood Training for Outlier Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21610–21618. 2 indexed citations
2.
Kalafatić, Zoran, et al.. (2024). Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data. Sensors. 24(4). 1248–1248. 4 indexed citations
3.
Šegvić, Siniša, et al.. (2024). Dynamic Loss Balancing and Sequential Enhancement for Road-Safety Assessment and Traffic Scene Classification. IEEE Transactions on Intelligent Transportation Systems. 25(11). 15628–15640.
4.
Šegvić, Siniša, et al.. (2023). Revisiting Consistency for Semi-Supervised Semantic Segmentation. Sensors. 23(2). 940–940. 4 indexed citations
5.
Šegvić, Siniša, et al.. (2023). Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection. 5156–5165. 8 indexed citations
6.
Barišić, Ivan, et al.. (2022). The chirality of the mitotic spindle provides a mechanical response to forces and depends on microtubule motors and augmin. Current Biology. 32(11). 2480–2493.e6. 11 indexed citations
7.
Šegvić, Siniša, et al.. (2021). Dense Semantic Forecasting in Video by Joint Regression of Features and Feature Motion. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 6443–6455. 2 indexed citations
8.
Šegvić, Siniša, et al.. (2020). Multi-Task Learning for iRAP Attribute Classification and Road Safety Assessment. 1–6. 7 indexed citations
9.
Brkić, Karla, et al.. (2019). Traffic Scene Classification on a Representation Budget. IEEE Transactions on Intelligent Transportation Systems. 21(1). 336–345. 12 indexed citations
10.
Brkić, Karla, et al.. (2015). Robust Traffic Scene Recognition with a Limited Descriptor Length. Computer Vision and Pattern Recognition. 1. 1 indexed citations
11.
Šegvić, Siniša, et al.. (2014). A Novel Georeferenced Dataset for Stereo Visual Odometry. 43–48. 3 indexed citations
12.
Krapac, Josip, et al.. (2014). Convolutional Neural Networks for Croatian Traffic Signs Recognition. 15–20. 1 indexed citations
13.
Brkić, Karla, et al.. (2013). Classifying Traffic Scenes Using The GIST Image Descriptor. arXiv (Cornell University). 1. 2 indexed citations
14.
Šegvić, Siniša & Zoran Kalafatić. (2012). Sliding window object detection without spatial clustering of raw detection responses. IFAC Proceedings Volumes. 45(22). 114–119. 4 indexed citations
15.
Bosilj, Petra, et al.. (2011). Detecting and recognizing centerlines as parabolic sections of the steerable filter response. Queen Mary Research Online (Queen Mary University of London). 903–908. 2 indexed citations
16.
Brkić, Karla, et al.. (2010). Recovering a comprehensive road appearance mosaic from video. 755–759. 1 indexed citations
17.
Brkić, Karla, Axel Pinz, & Siniša Šegvić. (2009). Traffic sign detection as a component of an automated traffic infrastructure inventory system. 129–140. 17 indexed citations
18.
Diosi, Albert, Anthony Remazeilles, Siniša Šegvić, & François Chaumette. (2007). Outdoor visual path following experiments. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 4265–4270. 31 indexed citations
19.
Šegvić, Siniša, Anthony Remazeilles, Albert Diosi, & François Chaumette. (2007). Large scale vision-based navigation without an accurate global reconstruction. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–8. 32 indexed citations
20.
Šegvić, Siniša. (2003). Detecting salient curvature features using the local control of the feature support. 61–65. 2 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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