Mathieu Salzmann

14.1k citations
209 papers · 7.7k · 5 hit papers · h-index 48

Impact in

Papers in

Mathieu Salzmann

200 papers receiving 7.5k citations

Mathieu Salzmann's Hit Papers

Learning trajectory dependencies for human motion prediction 2019 · 296 citations
2960+4+8Years since publication100200300400500

Peers

Mathieu Salzmann
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 5.8k
  • Computer Graphics and Computer-Aided Design 300
  • Artificial Intelligence 2.6k
  • Media Technology 657
  • Human-Computer Interaction 319
Replace Bernard Ghanem with:
Bernard Ghanem Saudi Arabia
Kui Jia China
Subhransu Maji United States
Aleš Leonardis Slovenia
Longin Jan Latecki United States
Anders Heyden Sweden
Patrick Pérez France
Shenghua Gao China
Jianzhuang Liu China
Timothy M. Hospedales United Kingdom
Mathieu Salzmann relative to Bernard Ghanem Saudi Arabia Bernard Ghanem's profile →
Citations per field
00.5×1.5×
Bernard Ghanem · 1×
Citations per year

Countries citing papers authored by Mathieu Salzmann

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Salzmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathieu Salzmann, 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 Mathieu Salzmann Line = papers co-authored together Mathieu Salzmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Context-Aware Crowd Counting
Hit paper breakdown →
2019508
2
Beyond Sharing Weights for Deep Domain Adaptation
Hit paper breakdown →
2018327
3
Unsupervised Domain Adaptation by Domain Invariant Projection
Hit paper breakdown →
2013318
4
Learning trajectory dependencies for human motion prediction
Hit paper breakdown →
2019296
5
Discrete-Continuous Depth Estimation from a Single Image
Hit paper breakdown →
2014282
6 2013203
7 2020196
8 2016174
9 2015171
10 2017168
11 2011143
12 2014121
13
Factorized Latent Spaces with Structured Sparsity
2010119
14 2017112
15 2014108
16 2014106
17 2018103
18 201798
19 200797
20 201695

About Mathieu Salzmann

Mathieu Salzmann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Aerospace Engineering and Control and Systems Engineering, having authored 209 papers that have together received 7.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (53 papers), Human Pose and Action Recognition (44 papers), 3D Shape Modeling and Analysis (39 papers), Advanced Neural Network Applications (38 papers), Domain Adaptation and Few-Shot Learning (35 papers), Advanced Image and Video Retrieval Techniques (32 papers), Robotics and Sensor-Based Localization (29 papers) and Video Surveillance and Tracking Methods (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.8k citations), Computer Graphics and Computer-Aided Design (300 citations), Artificial Intelligence (2.6k citations), Media Technology (657 citations) and Human-Computer Interaction (319 citations). Mathieu Salzmann has collaborated with scholars based in Switzerland, Australia and United States. Frequent co-authors include Pascal Fua, Mehrtash Harandi, Miaomiao Liu, Hongdong Li, Weizhe Liu, Richard Hartley, Wei Mao, Xuming He, Mahsa Baktashmotlagh and Jose M. Álvarez. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, International Journal of Computer Vision, Advances in computer vision and pattern recognition and IEEE Robotics and Automation Letters.

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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