T. P. Trzcinski

10.7k total citations · 1 hit paper
62 papers, 1.3k citations indexed

About

T. P. Trzcinski is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, T. P. Trzcinski has authored 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 10 papers in Electrical and Electronic Engineering. Recurrent topics in T. P. Trzcinski's work include Domain Adaptation and Few-Shot Learning (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Terahertz technology and applications (8 papers). T. P. Trzcinski is often cited by papers focused on Domain Adaptation and Few-Shot Learning (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Terahertz technology and applications (8 papers). T. P. Trzcinski collaborates with scholars based in Poland, Switzerland and Spain. T. P. Trzcinski's co-authors include Vincent Lepetit, Pascal Fua, Mustafa Özuysal, Christoph Strecha, Michael Calonder, Mario Christoudias, Norbert Pałka, M. Szustakowski, Bin Fan and Qingqun Kong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

T. P. Trzcinski

53 papers receiving 1.2k citations

Hit Papers

BRIEF: Computing a Local Binary Descriptor Very Fast 2011 2026 2016 2021 2011 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. BRIEF: Computing a Local Binary Descriptor Very Fast
    2011 569 citations Vincent Lepetit, T. P. Trzcinski et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. P. Trzcinski Poland 13 942 538 140 121 121 62 1.3k
N. Nandhakumar United States 15 788 0.8× 297 0.6× 97 0.7× 184 1.5× 80 0.7× 65 1.1k
Wen‐Nung Lie Taiwan 20 1.2k 1.3× 71 0.1× 176 1.3× 171 1.4× 78 0.6× 119 1.4k
Rama Krishna Gorthi India 13 695 0.7× 122 0.2× 106 0.8× 239 2.0× 58 0.5× 56 941
Haotian Tang United States 17 527 0.6× 308 0.6× 126 0.9× 32 0.3× 546 4.5× 55 1.5k
Xiaoguang Lu China 17 835 0.9× 95 0.2× 65 0.5× 40 0.3× 48 0.4× 61 1.3k
Hiêp Luong Belgium 17 514 0.5× 114 0.2× 67 0.5× 252 2.1× 57 0.5× 98 841
Richard Souvenir United States 12 656 0.7× 141 0.3× 188 1.3× 65 0.5× 17 0.1× 56 856
Reg G. Willson United States 14 468 0.5× 328 0.6× 35 0.3× 148 1.2× 43 0.4× 22 739
L. Lucchese United States 16 552 0.6× 160 0.3× 26 0.2× 186 1.5× 52 0.4× 54 810
Umme Sara Bangladesh 5 544 0.6× 48 0.1× 144 1.0× 211 1.7× 85 0.7× 8 1.0k

Countries citing papers authored by T. P. Trzcinski

Since Specialization
Citations

This map shows the geographic impact of T. P. Trzcinski'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 T. P. Trzcinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. P. Trzcinski more than expected).

Fields of papers citing papers by T. P. Trzcinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. P. Trzcinski. 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 T. P. Trzcinski. The network helps show where T. P. Trzcinski may publish in the future.

Co-authorship network of co-authors of T. P. Trzcinski

This figure shows the co-authorship network connecting the top 25 collaborators of T. P. Trzcinski. A scholar is included among the top collaborators of T. P. Trzcinski 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 T. P. Trzcinski. T. P. Trzcinski 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.
Trzcinski, T. P., et al.. (2024). Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. Pattern Recognition Letters. 185. 8–14. 6 indexed citations
2.
Struski, Łukasz, et al.. (2024). Efficient GPU implementation of randomized SVD and its applications. Expert Systems with Applications. 248. 123462–123462. 3 indexed citations
3.
Mazur, Marcin, et al.. (2024). HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23623–23625.
4.
Trzcinski, T. P., et al.. (2024). CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free. 1392–1402. 5 indexed citations
5.
6.
Brawura-Biskupski-Samaha, Robert, Paweł Gutaj, Michał Lipa, et al.. (2023). BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery. Computers in Biology and Medicine. 167. 107602–107602. 6 indexed citations
7.
Trzcinski, T. P., et al.. (2023). Continual learning on 3D point clouds with random compressed rehearsal. Computer Vision and Image Understanding. 228. 103621–103621. 6 indexed citations
8.
Twardowski, Bartłomiej, et al.. (2023). Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. 3504–3509. 3 indexed citations
9.
Seliga‐Siwecka, Joanna, et al.. (2022). Deep learning fetal ultrasound video model match human observers in biometric measurements. Physics in Medicine and Biology. 67(4). 45013–45013. 28 indexed citations
10.
Trzcinski, T. P., et al.. (2022). Trajevae: Controllable Human Motion Generation from Trajectories. SSRN Electronic Journal. 10 indexed citations
11.
Włodarczyk, Tomasz, et al.. (2021). Machine Learning Methods for Preterm Birth Prediction: A Review. Electronics. 10(5). 586–586. 28 indexed citations
12.
Deja, Kamil Rafał, et al.. (2021). End-to-end Sinkhorn Autoencoder with noise generator. Jagiellonian University Repository (Jagiellonian University). 5 indexed citations
13.
Trzcinski, T. P., et al.. (2019). Random Binary Search Trees for approximate nearest neighbour search in binary spaces. Applied Soft Computing. 79. 87–93. 7 indexed citations
14.
Zięba, Maciej, et al.. (2018). BinGAN: Learning Compact Binary Descriptors with a Regularized GAN. Neural Information Processing Systems. 31. 3608–3618. 21 indexed citations
15.
Trzcinski, T. P.. (2018). Multimodal social media video classification with deep neural networks. 210–210. 4 indexed citations
16.
Myrcha, J. W., T. P. Trzcinski, & P. S. Rokita. (2017). Virtual reality visualization algorithms for the ALICE high energy physics experiment on the LHC at CERN. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10445. 1044547–1044547. 1 indexed citations
17.
Trzcinski, T. P., Mario Christoudias, Vincent Lepetit, & Pascal Fua. (2012). Learning Image Descriptors with the Boosting-Trick. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 25. 269–277. 54 indexed citations
18.
Trzcinski, T. P. & Mario Christoudias. (2012). Boosting Binary Image Descriptors.
19.
Pałka, Norbert, et al.. (2011). Comparison of spectra of materials measured by Time Domain and Fourier Transform Spectroscopy in Terahertz range. Photonics Letters of Poland. 3(2). 76–78. 2 indexed citations
20.
Trofimov, Vyacheslav A., Svetlana A. Varentsova, M. Szustakowski, Norbert Pałka, & T. P. Trzcinski. (2011). Efficiency of the detection of explosive using the spectral dynamics analysis of reflected signal. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8189. 81890I–81890I. 12 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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