Pietro Zanuttigh

3.9k total citations · 1 hit paper
94 papers, 2.4k citations indexed

About

Pietro Zanuttigh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Instrumentation. According to data from OpenAlex, Pietro Zanuttigh has authored 94 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 15 papers in Instrumentation. Recurrent topics in Pietro Zanuttigh's work include Advanced Vision and Imaging (34 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Advanced Neural Network Applications (16 papers). Pietro Zanuttigh is often cited by papers focused on Advanced Vision and Imaging (34 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Advanced Neural Network Applications (16 papers). Pietro Zanuttigh collaborates with scholars based in Italy, Australia and Taiwan. Pietro Zanuttigh's co-authors include Umberto Michieli, Fabio Dominio, Giulio Marin, Guido M. Cortelazzo, Marco Toldo, Carlo Dal Mutto, Gianluca Agresti, Simone Milani, David Taubman and Emanuele Menegatti 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

Pietro Zanuttigh

89 papers receiving 2.3k citations

Hit Papers

Hand gesture recognition with leap motion and kinect devices 2014 2026 2018 2022 2014 100 200 300
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. Hand gesture recognition with leap motion and kinect devices
    2014 311 citations Giulio Marin, Fabio Dominio et al. Padua Research Archive (University of Padova) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pietro Zanuttigh Italy 25 1.6k 642 615 232 221 94 2.4k
Liang Zhang China 28 1.8k 1.2× 501 0.8× 429 0.7× 442 1.9× 137 0.6× 115 2.7k
Björn Stenger Japan 28 2.4k 1.5× 322 0.5× 471 0.8× 153 0.7× 265 1.2× 86 3.0k
Hongbin Zha China 33 2.9k 1.8× 685 1.1× 187 0.3× 194 0.8× 297 1.3× 289 3.9k
Pavlo Molchanov United States 21 1.6k 1.0× 1.0k 1.6× 1.0k 1.6× 546 2.4× 286 1.3× 57 2.9k
Kailun Yang China 30 2.3k 1.5× 431 0.7× 210 0.3× 181 0.8× 54 0.2× 147 3.2k
Ko Nishino Japan 31 2.7k 1.7× 639 1.0× 106 0.2× 296 1.3× 44 0.2× 112 3.4k
Angjoo Kanazawa United States 27 5.3k 3.4× 387 0.6× 313 0.5× 468 2.0× 993 4.5× 51 6.4k
Hassan Foroosh United States 22 1.7k 1.1× 604 0.9× 101 0.2× 264 1.1× 60 0.3× 135 2.4k
Yinda Zhang United States 25 2.3k 1.5× 407 0.6× 175 0.3× 58 0.3× 189 0.9× 55 3.0k
Olli Sílven Finland 20 1.6k 1.0× 164 0.3× 120 0.2× 185 0.8× 87 0.4× 150 2.7k

Countries citing papers authored by Pietro Zanuttigh

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Zanuttigh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Zanuttigh

This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Zanuttigh. A scholar is included among the top collaborators of Pietro Zanuttigh 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 Pietro Zanuttigh. Pietro Zanuttigh 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.
Hoyer, Lukas, et al.. (2025). From open-vocabulary to vocabulary-free semantic segmentation. Pattern Recognition Letters. 198. 14–21.
2.
Zanuttigh, Pietro, et al.. (2023). DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-based Segmentation Networks. Research Padua Archive (University of Padua). 5 indexed citations
3.
Michieli, Umberto, et al.. (2023). Road scenes segmentation across different domains by disentangling latent representations. The Visual Computer. 40(2). 811–830. 2 indexed citations
4.
Agresti, Gianluca, et al.. (2022). Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction. IEEE Transactions on Computational Imaging. 8. 721–732. 5 indexed citations
5.
Cambareri, Valerio, et al.. (2022). A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2686–2695. 5 indexed citations
6.
Toldo, Marco, Umberto Michieli, & Pietro Zanuttigh. (2021). Unsupervised domain adaptation in semantic segmentation via orthogonal and clustered embeddings. Research Padua Archive (University of Padua). 39 indexed citations
7.
Michieli, Umberto & Pietro Zanuttigh. (2021). Continual semantic segmentation via repulsion-attraction of sparse and disentangled latent representations. Padua Research Archive (University of Padova). 91 indexed citations
8.
Michieli, Umberto, et al.. (2019). Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. Padua Research Archive (University of Padova). 1211–1220. 30 indexed citations
9.
Michieli, Umberto & Pietro Zanuttigh. (2019). Incremental Learning Techniques for Semantic Segmentation. Padua Research Archive (University of Padova). 142 indexed citations
10.
Agresti, Gianluca, et al.. (2019). Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning. Research Padua Archive (University of Padua). 5579–5586. 32 indexed citations
11.
Marin, Giulio, et al.. (2019). A multi-camera dataset for depth estimation in an indoor scenario. SHILAP Revista de lepidopterología. 27. 104619–104619. 6 indexed citations
12.
Poggi, Matteo, Gianluca Agresti, Fabio Tosi, Pietro Zanuttigh, & Stefano Mattoccia. (2019). Confidence Estimation for ToF and Stereo Sensors and Its Application to Depth Data Fusion. IEEE Sensors Journal. 20(3). 1411–1421. 18 indexed citations
13.
Zanuttigh, Pietro, et al.. (2016). Time-of-Flight and Structured Light Depth Cameras: Technology and Applications. CERN Document Server (European Organization for Nuclear Research). 22 indexed citations
14.
Zanuttigh, Pietro, et al.. (2015). Scene Segmentation Based on NURBS Surface Fitting Metrics. Research Padua Archive (University of Padua). 25–34. 1 indexed citations
15.
Mutto, Carlo Dal, Pietro Zanuttigh, & Guido M. Cortelazzo. (2015). Probabilistic ToF and Stereo Data Fusion Based on Mixed Pixels Measurement Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(11). 2260–2272. 22 indexed citations
16.
Vanini, S., G. Zumerle, P. Checchia, et al.. (2014). Application of Muon Tomography to Detect Radioactive Sources Hidden in Scrap Metal Containers. IEEE Transactions on Nuclear Science. 61(4). 2204–2209. 8 indexed citations
17.
Mutto, Carlo Dal, Pietro Zanuttigh, & Guido M. Cortelazzo. (2012). Fusion of Geometry and Color Information for Scene Segmentation. IEEE Journal of Selected Topics in Signal Processing. 6(5). 505–521. 36 indexed citations
18.
Mathew, Reji, Pietro Zanuttigh, & David Taubman. (2012). Highly Scalable Coding of Depth Maps with Arc Breakpoints. Research Padua Archive (University of Padua). 42–51. 13 indexed citations
19.
Milani, Simone, et al.. (2011). Efficient depth map compression exploiting segmented color data. Research Padua Archive (University of Padua). 16. 1–6. 22 indexed citations
20.
Menegatti, Emanuele, Matteo Danieletto, Marco Mina, et al.. (2010). Autonomous discovery, localization and recognition of smart objects through WSN and image features. IRIS Research product catalog (Sapienza University of Rome). 1653–1657. 14 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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