Loris Bazzani

4.9k total citations · 2 hit papers
36 papers, 2.8k citations indexed

About

Loris Bazzani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Loris Bazzani has authored 36 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Loris Bazzani's work include Video Surveillance and Tracking Methods (15 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Human Pose and Action Recognition (6 papers). Loris Bazzani is often cited by papers focused on Video Surveillance and Tracking Methods (15 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Human Pose and Action Recognition (6 papers). Loris Bazzani collaborates with scholars based in Italy, Germany and United Kingdom. Loris Bazzani's co-authors include Vittorio Murino, Marco Cristani, Alessandro Perina, Michela Farenzena, Dong Cheng, Shaogang Gong, Yanbei Chen, Hugo Larochelle, Giulia Paggetti and Gloria Menegaz and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Computation and Journal of Machine Learning Research.

In The Last Decade

Loris Bazzani

35 papers receiving 2.8k citations

Hit Papers

Person re-identification by symmetry-driven accumulation ... 2010 2026 2015 2020 2010 2011 250 500 750 1000
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. Person re-identification by symmetry-driven accumulation of local features
    2010 1.0k citations Michela Farenzena, Loris Bazzani et al. profile →
  2. Custom Pictorial Structures for Re-identification
    2011 423 citations Marco Cristani, Loris Bazzani 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
Loris Bazzani Italy 20 2.6k 866 541 164 87 36 2.8k
Alessandro Perina Italy 20 1.9k 0.7× 604 0.7× 401 0.7× 63 0.4× 88 1.0× 60 2.2k
Bingpeng Ma China 25 2.0k 0.8× 705 0.8× 360 0.7× 54 0.3× 74 0.9× 76 2.2k
Dan Xie China 17 821 0.3× 212 0.2× 587 1.1× 76 0.5× 187 2.1× 40 1.6k
Mikel Rodríguez United States 11 1.4k 0.5× 256 0.3× 837 1.5× 108 0.7× 58 0.7× 23 1.6k
Dapeng Chen China 23 1.4k 0.5× 488 0.6× 351 0.6× 48 0.3× 71 0.8× 51 1.8k
Yali Li China 21 1.5k 0.6× 263 0.3× 460 0.9× 50 0.3× 107 1.2× 106 2.0k
Angela Yao Singapore 23 1.6k 0.6× 230 0.3× 646 1.2× 25 0.2× 61 0.7× 65 1.9k
Lorenzo Seidenari Italy 21 1.2k 0.5× 193 0.2× 478 0.9× 23 0.1× 109 1.3× 66 1.5k
Yuri Ivanov United States 17 1.2k 0.5× 98 0.1× 652 1.2× 35 0.2× 175 2.0× 49 1.7k

Countries citing papers authored by Loris Bazzani

Since Specialization
Citations

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

Fields of papers citing papers by Loris Bazzani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loris Bazzani

This figure shows the co-authorship network connecting the top 25 collaborators of Loris Bazzani. A scholar is included among the top collaborators of Loris Bazzani 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 Loris Bazzani. Loris Bazzani 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.
Gündoğdu, Erhan, et al.. (2024). iEdit: Localised Text-guided Image Editing with Weak Supervision. 7426–7435. 2 indexed citations
2.
Bazzani, Loris, et al.. (2024). ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. 9870–9880.
3.
Garg, Nikhil, et al.. (2021). Localized Triplet Loss for Fine-grained Fashion Image Retrieval. 3905–3910. 21 indexed citations
4.
Salvador, Amaia, Erhan Gündoğdu, Loris Bazzani, & Michael Donoser. (2021). Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning. 15470–15479. 52 indexed citations
5.
Chen, Yanbei, Shaogang Gong, & Loris Bazzani. (2020). Image Search With Text Feedback by Visiolinguistic Attention Learning. Queen Mary Research Online (Queen Mary University of London). 2998–3008. 115 indexed citations
6.
Minh, Hà Quang, Loris Bazzani, & Vittorio Murino. (2016). A unifying framework in vector-valued reproducing kernel Hilbert spaces for manifold regularization and co-regularized multi-view learning. Journal of Machine Learning Research. 17(1). 769–840. 27 indexed citations
7.
Bazzani, Loris, Hugo Larochelle, & Lorenzo Torresani. (2016). Recurrent Mixture Density Network for Spatiotemporal Visual Attention. arXiv (Cornell University). 15 indexed citations
8.
Bazzani, Loris, et al.. (2016). Self-taught object localization with deep networks. 1–9. 86 indexed citations
9.
Minh, Hà Quang, et al.. (2016). Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification. 5195–5203. 8 indexed citations
10.
Bazzani, Loris, et al.. (2014). Joint Individual-Group Modeling for Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(4). 746–759. 19 indexed citations
11.
Minh, Hà Quang, Loris Bazzani, & Vittorio Murino. (2013). A unifying framework for vector-valued manifold regularization and multi-view learning. International Conference on Machine Learning. 100–108. 29 indexed citations
12.
Minh, Quang Tran, Loris Bazzani, & Vittorio Murino. (2013). A Unifying Framework for Vector-valued Manifold Regularization and Multi-view Learning - Supplementary Material. 1 indexed citations
13.
Bazzani, Loris, Marco Cristani, & Vittorio Murino. (2012). Symmetry-driven accumulation of local features for human characterization and re-identification. Computer Vision and Image Understanding. 117(2). 130–144. 187 indexed citations
14.
Bazzani, Loris, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting, & Nando de Freitas. (2011). Learning attentional policies for tracking and recognition in video with deep networks. Oxford University Research Archive (ORA) (University of Oxford). 937–944. 26 indexed citations
15.
Bazzani, Loris, Marco Cristani, Alessandro Perina, & Vittorio Murino. (2011). Multiple-shot person re-identification by chromatic and epitomic analyses. Pattern Recognition Letters. 33(7). 898–903. 115 indexed citations
16.
Bazzani, Loris, Marco Cristani, Alessandro Perina, Michela Farenzena, & Vittorio Murino. (2010). Multiple-Shot Person Re-identification by HPE Signature. 1413–1416. 104 indexed citations
17.
Farenzena, Michela, Loris Bazzani, Alessandro Perina, Vittorio Murino, & Marco Cristani. (2010). Person re-identification by symmetry-driven accumulation of local features. 2360–2367. 1023 indexed citations breakdown →
18.
Bazzani, Loris, Marco Cristani, & Vittorio Murino. (2010). Collaborative particle filters for group tracking. 837–840. 9 indexed citations
19.
Bazzani, Loris, Domenico D. Bloisi, & Vittorio Murino. (2009). A Comparison of Multi Hypothesis Kalman Filter and Particle Filter for Multi-target Tracking. CINECA IRIS Institutional Research Information System (University of Basilicata). 47–54. 14 indexed citations
20.
Bazzani, Loris, Marco Cristani, Manuele Bicego, & Vittorio Murino. (2009). Online subjective feature selection for occlusion management in tracking applications. 3617–3620. 3 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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