Marcella Cornia

2.5k total citations · 1 hit paper
49 papers, 1.1k citations indexed

About

Marcella Cornia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Marcella Cornia has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Marcella Cornia's work include Multimodal Machine Learning Applications (30 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Marcella Cornia is often cited by papers focused on Multimodal Machine Learning Applications (30 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Marcella Cornia collaborates with scholars based in Italy, Finland and Israel. Marcella Cornia's co-authors include Rita Cucchiara, Lorenzo Baraldi, Federico Landi, Silvia Cascianelli, Matteo Stefanini, Giuseppe Fiameni, Giuseppe Serra, Marco Bertini, Alberto Baldrati and Massimiliano Corsini and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and International Journal of Computer Vision.

In The Last Decade

Marcella Cornia

46 papers receiving 1.1k citations

Hit Papers

From Show to Tell: A Survey on Deep Learning-Based Image ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcella Cornia Italy 17 809 399 48 38 38 49 1.1k
Yuzhu Ji China 14 639 0.8× 238 0.6× 45 0.9× 64 1.7× 31 0.8× 30 996
Jiayuan Gu China 6 819 1.0× 393 1.0× 47 1.0× 14 0.4× 56 1.5× 14 1.1k
Wei-Chen Chiu Taiwan 16 873 1.1× 242 0.6× 67 1.4× 24 0.6× 77 2.0× 55 1.1k
Zhenzhen Hu China 16 605 0.7× 330 0.8× 51 1.1× 13 0.3× 14 0.4× 54 976
Donggyu Joo South Korea 7 757 0.9× 641 1.6× 17 0.4× 19 0.5× 56 1.5× 11 1.2k
Mike Zheng Shou Singapore 18 1.1k 1.4× 451 1.1× 32 0.7× 22 0.6× 17 0.4× 74 1.4k
Miguel Ángel Bautista Spain 13 324 0.4× 232 0.6× 35 0.7× 17 0.4× 20 0.5× 17 735
Xiaojie Jin China 15 508 0.6× 231 0.6× 34 0.7× 15 0.4× 43 1.1× 31 723
Yue Ming China 17 731 0.9× 225 0.6× 23 0.5× 27 0.7× 32 0.8× 97 1.1k
Zheng Wu China 12 671 0.8× 202 0.5× 99 2.1× 15 0.4× 23 0.6× 30 993

Countries citing papers authored by Marcella Cornia

Since Specialization
Citations

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

Fields of papers citing papers by Marcella Cornia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcella Cornia

This figure shows the co-authorship network connecting the top 25 collaborators of Marcella Cornia. A scholar is included among the top collaborators of Marcella Cornia 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 Marcella Cornia. Marcella Cornia 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.
Cornia, Marcella, et al.. (2025). Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training. International Journal of Computer Vision. 133(11). 7647–7671.
2.
Cornia, Marcella, et al.. (2025). Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–8.
3.
Cornia, Marcella, et al.. (2025). Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering. IRIS UNIMORE (University of Modena and Reggio Emilia). 9199–9209. 1 indexed citations
4.
Baraldi, Lorenzo, et al.. (2024). The Revolution of Multimodal Large Language Models: A Survey. 13590–13618. 17 indexed citations
5.
Cornia, Marcella, et al.. (2024). Multiclass Unlearning for Image Classification via Weight Filtering. IEEE Intelligent Systems. 39(6). 40–47. 4 indexed citations
6.
Cuculo, Vittorio, et al.. (2024). Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images. IEEE Signal Processing Letters. 31. 820–824. 6 indexed citations
7.
Cornia, Marcella, et al.. (2024). Towards Retrieval-Augmented Architectures for Image Captioning. ACM Transactions on Multimedia Computing Communications and Applications. 20(8). 1–22. 7 indexed citations
8.
Cucchiara, Rita, et al.. (2024). Video Surveillance and Privacy: A Solvable Paradox?. Computer. 57(3). 91–100. 1 indexed citations
9.
Cornia, Marcella, et al.. (2024). Parents and Children: Distinguishing Multimodal Deepfakes from Natural Images. ACM Transactions on Multimedia Computing Communications and Applications. 21(1). 1–23. 9 indexed citations
10.
Cornia, Marcella, et al.. (2024). Are Learnable Prompts the Right Way of Prompting? Adapting Vision-and-Language Models with Memory Optimization. IEEE Intelligent Systems. 39(3). 26–34. 1 indexed citations
11.
Baldrati, Alberto, et al.. (2023). LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On. IRIS UNIMORE (University of Modena and Reggio Emilia). 8580–8589. 32 indexed citations
12.
Cornia, Marcella, et al.. (2023). Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates. Sensors. 23(3). 1286–1286. 10 indexed citations
13.
Baldrati, Alberto, et al.. (2023). Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing. CINECA IRIS Institutial research information system (University of Pisa). 23336–23345. 32 indexed citations
14.
Cornia, Marcella, et al.. (2023). Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation. IRIS UNIMORE (University of Modena and Reggio Emilia). 6914–6924. 19 indexed citations
15.
Cornia, Marcella, et al.. (2023). With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning. IRIS UNIMORE (University of Modena and Reggio Emilia). 3009–3019. 14 indexed citations
16.
Cornia, Marcella, et al.. (2022). The Unreasonable Effectiveness of CLIP Features for Image Captioning: An Experimental Analysis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4661–4669. 52 indexed citations
17.
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
18.
Cornia, Marcella, et al.. (2022). Matching Faces and Attributes Between the Artistic and the Real Domain: the PersonArt Approach. ACM Transactions on Multimedia Computing Communications and Applications. 18(3). 1–23. 2 indexed citations
19.
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
20.
Landi, Federico, Lorenzo Baraldi, Marcella Cornia, & Rita Cucchiara. (2021). Working Memory Connections for LSTM. Neural Networks. 144. 334–341. 163 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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