Vittorio Ferrari

30.7k citations
121 papers · 16.6k indexed · 10 hit papers · h-index 44

Vittorio Ferrari

118 papers receiving 16.1k citations

Hit Papers

The Open Images Dataset V4: Unified...96020072026201320192.0k4.0k6.0k

Peers

Vittorio Ferrari
Comparison fields: 5 of 207
  • Computer Vision and Pattern Recognition 10.5k
  • Artificial Intelligence 5.0k
  • Media Technology 1.3k
  • Human-Computer Interaction 662
  • Signal Processing 1.0k
Replace Dong Xu with:
Dong Xu China
Zhuowen Tu United States
Nicu Sebe Italy
Stephen J. Maybank United Kingdom
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Jiebo Luo United States
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Vittorio Ferrari relative to Dong Xu China Dong Xu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vittorio Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Vittorio Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Vittorio Ferrari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vittorio Ferrari Line = papers co-authored together Vittorio Ferrari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202411
3 202415
4
Sharf: Shape-conditioned Radiance Fields from a Single View
20212
5 202061
6
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scalebreakdown →
2018960
7
A Generative Model of 3D Object Layouts in Apartments
20178
8 201483
9
Fast Object Segmentation in Unconstrained Videobreakdown →
2013324
10
Models of Semantic Representation with Visual Attributes
201329
11
Searching for objects driven by context
201231
12 201279
13
A Conditional Random Field for Multiple-Instance Learning
201026
14
Group of adjacent contour segment for object detection
20083
15
Learning Visual Attributes
2007236
16
Oxford TRECVid 2007 \u2013 Notebook paper.
20071
17
Groups of Adjacent Contour Segments for Object Detectionbreakdown →
2007385
18
Object Detection by Contour Segment Networks
200671
19
Retrieving objects from videos based on affine regions
20045
20 20028

About Vittorio Ferrari

Vittorio Ferrari is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 121 papers that have together received 16.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (49 papers), Advanced Neural Network Applications (29 papers), Multimodal Machine Learning Applications (27 papers), Human Pose and Action Recognition (21 papers), Domain Adaptation and Few-Shot Learning (21 papers), Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (15 papers) and Image Retrieval and Classification Techniques (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (10.5k citations), Artificial Intelligence (5.0k citations) and Media Technology (1.3k citations). Vittorio Ferrari has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Thomas Deselaers, Bogdan Alexe, Jasper Uijlings, Andrew Zisserman, Alexander Vezhnevets, Holger Caesar, Manuel J. Marín‐Jiménez, Joachim M. Buhmann, Luc Van Gool and Frédéric Jurie. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

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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