Federico Landi

611 total citations
9 papers, 281 citations indexed

About

Federico Landi is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Federico Landi has authored 9 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 3 papers in Artificial Intelligence. Recurrent topics in Federico Landi's work include Multimodal Machine Learning Applications (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and 3D Shape Modeling and Analysis (3 papers). Federico Landi is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and 3D Shape Modeling and Analysis (3 papers). Federico Landi collaborates with scholars based in Italy. Federico Landi's co-authors include Rita Cucchiara, Marcella Cornia, Lorenzo Baraldi, Massimiliano Corsini, Silvia Cascianelli, Roberto Bigazzi, Gianandrea La Porta and Giacomo Assandri and has published in prestigious journals such as Neural Networks, Computer Vision and Image Understanding and IEEE Robotics and Automation Letters.

In The Last Decade

Federico Landi

9 papers receiving 275 citations

Peers

Federico Landi

CVPR

AI

EEE

CSE

CM

Yaxiong Wang China

Yuanhang Su United States

Ziheng Li China

Jianping Zhao China

Zhichao Song China

Hao Kang United States

Fengjun Zhang China

Xiaoyan Guo China

Zongmin Li China

Yaxiong Wang China

Federico Landi

221 ×1.9

CVPR

88 ×1.3

AI

46 ×1.4

EEE

14 ×0.5

CSE

16 ×0.6

CM

Citations per year, relative to Federico Landi Federico Landi (= 1×) peers Yaxiong Wang

Countries citing papers authored by Federico Landi

Since Specialization

Citations

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

Fields of papers citing papers by Federico Landi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Landi

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Porta, Gianandrea La, et al.. (2023). The new Checklist of the Italian Fauna: Odonata. 38(1). 2 indexed citations

2.

Cornia, Marcella, et al.. (2022). Transform, Warp, and Dress: A New Transformation-guided Model for Virtual Try-on. ACM Transactions on Multimedia Computing Communications and Applications. 18(2). 1–24. 12 indexed citations

3.

Cornia, Marcella, et al.. (2022). Dress Code: High-Resolution Multi-Category Virtual Try-On. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2230–2234. 48 indexed citations

4.

Bigazzi, Roberto, Federico Landi, Silvia Cascianelli, et al.. (2022). Focus on Impact: Indoor Exploration With Intrinsic Motivation. IEEE Robotics and Automation Letters. 7(2). 2985–2992. 14 indexed citations

5.

Landi, Federico, Roberto Bigazzi, Marcella Cornia, et al.. (2022). Spot the Difference: A Novel Task for Embodied Agents in Changing Environments. 2022 26th International Conference on Pattern Recognition (ICPR). 3 indexed citations

6.

Landi, Federico, Lorenzo Baraldi, Marcella Cornia, & Rita Cucchiara. (2021). Working Memory Connections for LSTM. Neural Networks. 144. 334–341. 163 indexed citations

7.

Landi, Federico, et al.. (2021). VITON-GT: An Image-based Virtual Try-On Model with Geometric Transformations. IRIS UNIMORE (University of Modena and Reggio Emilia). 7669–7676. 14 indexed citations

8.

Landi, Federico, Lorenzo Baraldi, Marcella Cornia, Massimiliano Corsini, & Rita Cucchiara. (2021). Multimodal attention networks for low-level vision-and-language navigation. Computer Vision and Image Understanding. 210. 103255–103255. 22 indexed citations

9.

Landi, Federico, Lorenzo Baraldi, Massimiliano Corsini, & Rita Cucchiara. (2019). Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters. IRIS UNIMORE (University of Modena and Reggio Emilia). 18. 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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