Mathieu Salzmann

13.8k citations
169 papers · 5.8k indexed · 3 hit papers · h-index 41

Mathieu Salzmann

166 papers receiving 5.6k citations

Hit Papers

Context-Aware Crowd Counting4622018202620202023100200300400

Peers

Mathieu Salzmann
Comparison fields: 5 of 141
  • Computer Vision and Pattern Recognition 4.3k
  • Computer Graphics and Computer-Aided Design 225
  • Artificial Intelligence 2.0k
  • Media Technology 542
  • Human-Computer Interaction 241
Replace Bernard Ghanem with:
Bernard Ghanem Saudi Arabia
Longin Jan Latecki United States
Subhransu Maji United States
Timothy M. Hospedales United Kingdom
Kui Jia China
Jianzhuang Liu China
Alexey Dosovitskiy Germany
Mingkui Tan China
Yunde Jia China
Patrick Pérez France
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-authorship network

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
#Work
1 20251
2 202410
3 20237
4 20235
5 202316
6 202314
7 20229
8
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
202021
9
Evaluating The Search Phase of Neural Architecture Search
202055
10
Context-Aware Crowd Countingbreakdown →
2019462
11 201914
12
Deep Attentional Structured Representation Learning for Visual Recognition
20181
13 201787
14 2017147
15
Shape-aware Instance Segmentation.
201611
16
Distribution-matching embedding for visual domain adaptation
201669
17 2013266
18
Non-Linear Stationary Subspace Analysis with Application to Video Classification
20137
19
Factorized Orthogonal Latent Spaces
201052
20
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation
201021

About Mathieu Salzmann

Mathieu Salzmann is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 169 papers that have together received 5.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (47 papers), Human Pose and Action Recognition (39 papers), Advanced Neural Network Applications (32 papers), Domain Adaptation and Few-Shot Learning (30 papers), 3D Shape Modeling and Analysis (30 papers), Advanced Image and Video Retrieval Techniques (22 papers), Robotics and Sensor-Based Localization (22 papers) and Video Surveillance and Tracking Methods (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.3k citations), Computer Graphics and Computer-Aided Design (225 citations) and Artificial Intelligence (2.0k 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, Xuming He, Mahsa Baktashmotlagh, Richard Hartley, Artem Rozantsev and Brian C. Lovell. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Image Processing and Machine Vision and Applications.

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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