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.
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
20126.4k citationsAurélien Lucchi, Pascal Fua et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
EPnP: An Accurate O(n) Solution to the PnP Problem
20082.1k citationsVincent Lepetit, Pascal Fua et al.profile →
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
2009903 citationsVincent Lepetit, Pascal Fua et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Multiple Object Tracking Using K-Shortest Paths Optimization
2011673 citationsPascal Fua et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision
2017609 citationsDushyant Mehta, Helge Rhodin et al.profile →
BRIEF: Computing a Local Binary Descriptor Very Fast
2011569 citationsVincent Lepetit, Pascal Fua et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Multicamera People Tracking with a Probabilistic Occupancy Map
2007549 citationsR. Lengagne, Pascal Fua et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Real-Time Seamless Single Shot 6D Object Pose Prediction
2018541 citationsPascal Fua et al.Infoscience (Ecole Polytechnique Fédérale de Lausanne)profile →
On benchmarking camera calibration and multi-view stereo for high resolution imagery
This map shows the geographic impact of Pascal Fua'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 Pascal Fua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Fua more than expected).
This network shows the impact of papers produced by Pascal Fua. 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 Pascal Fua. The network helps show where Pascal Fua may publish in the future.
Co-authorship network of co-authors of Pascal Fua
This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Fua.
A scholar is included among the top collaborators of Pascal Fua 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 Pascal Fua. Pascal Fua is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Honari, Sina, et al.. (2023). Detecting Road Obstacles by Erasing Them. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(4). 2450–2460.16 indexed citations
Salzmann, Mathieu, et al.. (2020). Domain Adaptive Multibranch Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne).5 indexed citations
10.
Mehta, Dushyant, Oleksandr Sotnychenko, Franziska Mueller, et al.. (2019). XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera. MPG.PuRe (Max Planck Society).14 indexed citations
11.
Ono, Y., Eduard Trulls, Pascal Fua, & Kwang Moo Yi. (2018). LF-Net: Learning Local Features from Images. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 31. 6234–6244.87 indexed citations
Sznitman, Raphael, Aurélien Lucchi, Peter I. Frazier, Bruno Jedynak, & Pascal Fua. (2013). An Optimal Policy for Target Localization with Application to Electron Microscopy. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 28(1). 1–9.16 indexed citations
16.
Salzmann, Mathieu, Julien Pilet, Slobodan Ilić, & Pascal Fua. (2007). Surface Deformation Models for Nonrigid 3D Shape Recovery. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(8). 1481–1487.83 indexed citations
17.
Fua, Pascal, et al.. (2005). Monocular Model-based 3d Tracking of Rigid Objects (Foundations and Trends in Computer Graphics and Vision(R)). now publishers, Inc. eBooks.23 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.