Ignas Budvytis

952 total citations
26 papers, 444 citations indexed

About

Ignas Budvytis is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Ignas Budvytis has authored 26 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 4 papers in Computational Mechanics. Recurrent topics in Ignas Budvytis's work include Advanced Image and Video Retrieval Techniques (10 papers), Advanced Neural Network Applications (6 papers) and Advanced Vision and Imaging (6 papers). Ignas Budvytis is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Advanced Neural Network Applications (6 papers) and Advanced Vision and Imaging (6 papers). Ignas Budvytis collaborates with scholars based in United Kingdom, Switzerland and South Sudan. Ignas Budvytis's co-authors include Roberto Cipolla, Vijay Badrinarayanan, Roberto Mecca, Fei Xue, Patrick Sauer, Fei Xue, James R. Scott, Stephan Liwicki, Tae‐Kyun Kim and Alex Butler and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and International Journal of Nursing Studies.

In The Last Decade

Ignas Budvytis

26 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ignas Budvytis United Kingdom	13	382	104	60	55	45	26	444
Iro Laina United Kingdom	7	392 1.0×	89 0.9×	108 1.8×	45 0.8×	148 3.3×	13	505
Anders Hast Sweden	9	155 0.4×	51 0.5×	48 0.8×	62 1.1×	39 0.9×	64	309
Tristan Laidlow United Kingdom	6	280 0.7×	75 0.7×	69 1.1×	146 2.7×	36 0.8×	8	370
Tao Lu China	10	223 0.6×	49 0.5×	24 0.4×	49 0.9×	50 1.1×	27	335
Frederik Warburg Denmark	4	301 0.8×	83 0.8×	128 2.1×	110 2.0×	21 0.5×	6	366
Yu-Ying Yeh United States	7	271 0.7×	39 0.4×	69 1.1×	24 0.4×	79 1.8×	10	325
T. Naveen United States	8	355 0.9×	143 1.4×	43 0.7×	55 1.0×	15 0.3×	21	414
Weize Quan China	11	313 0.8×	31 0.3×	30 0.5×	29 0.5×	42 0.9×	23	391
Hansheng Chen China	7	229 0.6×	53 0.5×	51 0.8×	128 2.3×	23 0.5×	11	317

Countries citing papers authored by Ignas Budvytis

Since Specialization

Citations

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

Fields of papers citing papers by Ignas Budvytis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignas Budvytis

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

All Works

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20 of 20 papers shown

Budvytis, Ignas, et al.. (2025). NPL-MVPS: Neural Point-Light Multi-View Photometric Stereo. 2291–2300. 1 indexed citations

Zhang, C., Mohan Li, Ignas Budvytis, & Stephan Liwicki. (2024). DiaLoc: An Iterative Approach to Embodied Dialog Localization. 12585–12593. 1 indexed citations

Budvytis, Ignas, et al.. (2024). A Neural Height-Map Approach for the Binocular Photometric Stereo Problem. 1557–1566. 3 indexed citations

Xue, Fei, Ignas Budvytis, & Roberto Cipolla. (2023). SFD2: Semantic-Guided Feature Detection and Description. 5206–5216. 24 indexed citations

Xue, Fei, Ignas Budvytis, & Roberto Cipolla. (2023). IMP: Iterative Matching and Pose Estimation with Adaptive Pooling. 21317–21326. 6 indexed citations

Budvytis, Ignas, et al.. (2022). Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2832–2841. 36 indexed citations

Xue, Fei, et al.. (2022). Efficient Large-scale Localization by Global Instance Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17327–17336. 13 indexed citations

Budvytis, Ignas, et al.. (2021). PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12737–12746. 37 indexed citations

Budvytis, Ignas, et al.. (2021). Lifted Semantic Graph Embedding for Omnidirectional Place Recognition. 30. 1401–1410. 1 indexed citations

10.

Budvytis, Ignas, et al.. (2020). PX-NET: Simple, Efficient Pixel-Wise Training of Photometric Stereo Networks. 12757–12766. 3 indexed citations

11.

Budvytis, Ignas, et al.. (2020). A CNN Based Approach for the Near-Field Photometric Stereo Problem. Cambridge University Engineering Department Publications Database. 2 indexed citations

12.

Budvytis, Ignas, et al.. (2017). Indirect deep structured learning for 3D human body shape and pose prediction. 67 indexed citations

13.

Budvytis, Ignas, et al.. (2017). Indirect deep structured learning for 3D human body shape and pose prediction. Apollo (University of Cambridge). 36 indexed citations

14.

Badrinarayanan, Vijay, Ignas Budvytis, & Roberto Cipolla. (2013). Semi-Supervised Video Segmentation Using Tree Structured Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(11). 2751–2764. 42 indexed citations

15.

Badrinarayanan, Vijay, Ignas Budvytis, & Roberto Cipolla. (2013). Mixture of Trees Probabilistic Graphical Model for Video Segmentation. International Journal of Computer Vision. 110(1). 14–29. 10 indexed citations

16.

Budvytis, Ignas, Vijay Badrinarayanan, & Roberto Cipolla. (2012). MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation. 72.1–72.11. 7 indexed citations

17.

Budvytis, Ignas, Vijay Badrinarayanan, & Roberto Cipolla. (2011). Semi-supervised video segmentation using tree structured graphical models. 2257–2264. 30 indexed citations

18.

Kim, Tae‐Kyun, Ignas Budvytis, & Roberto Cipolla. (2011). Making a Shallow Network Deep: Conversion of a Boosting Classifier into a Decision Tree by Boolean Optimisation. International Journal of Computer Vision. 100(2). 203–215. 4 indexed citations

19.

Budvytis, Ignas, James R. Scott, & Alex Butler. (2008). Compass-Based Automatic Picture Taking Using SenseCam. International Journal of Nursing Studies. 32(1). 1–15. 2 indexed citations

20.

Blackwell, Alan F., et al.. (2007). Tangible Interaction in a Mobile Context. 1 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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