Michael Maire

54.4k citations
40 papers · 6.4k indexed · 2 hit papers · h-index 21

Michael Maire

37 papers receiving 6.2k citations

Hit Papers

Contour Detection and Hierarchical Image Segmentation3.5k200620262012201910002.0k3.0k

Peers

Michael Maire
Comparison fields: 5 of 167
  • Computer Vision and Pattern Recognition 5.0k
  • Media Technology 1.3k
  • Computer Graphics and Computer-Aided Design 152
  • Artificial Intelligence 1.3k
  • Biophysics 144
Replace Djemel Ziou with:
Djemel Ziou Canada
Alykhan Tejani United States
Pablo Arbeláez Colombia
Alejandro Acosta Spain
Jianzhuang Liu China
Anil Shaji United States
Aurélien Lucchi Switzerland
Hang Zhao United States
Lucas Theis United States
Victor Lempitsky Russia
Michael Maire relative to Djemel Ziou Canada Djemel Ziou's profile →
Citations per field
00.5×1.5×
Djemel Ziou · 1×
Citations per year

Countries citing papers authored by Michael Maire

Since Specialization
Citations

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

Fields of papers citing papers by Michael Maire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202420
3 202197
4
{ALERT}: Accurate Learning for Energy and Timeliness
20202
5
Winning the Lottery with Continuous Sparsification
20206
6 202019
7
Developing Unsupervised Learning Models for Cloud Classification
20191
8
Learning Implicitly Recurrent CNNs Through Parameter Sharing
20196
9
ALERT: Accurate Anytime Learning for Energy and Timeliness
20191
10
FractalNet: Ultra-Deep Neural Networks without Residuals.
2017163
11
Neural Multigrid
20162
12 2015106
13 201586
14 201312
15
Contour Detection and Hierarchical Image Segmentationbreakdown →
20103461
16 200919
17 2008251
18 2008117
19
SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognitionbreakdown →
2006786
20
Making Latin Manuscripts Searchable using gHMM's
200444

About Michael Maire

Michael Maire is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 40 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Advanced Neural Network Applications (11 papers), Medical Image Segmentation Techniques (7 papers), Domain Adaptation and Few-Shot Learning (7 papers), Image Retrieval and Classification Techniques (5 papers), Adversarial Robustness in Machine Learning (4 papers), Visual Attention and Saliency Detection (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.0k citations), Media Technology (1.3k citations) and Computer Graphics and Computer-Aided Design (152 citations). Michael Maire has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jitendra Malik, Pablo Arbeláez, Charless C. Fowlkes, Alexander C. Berg, Hao Zhang, Gustav Larsson, Gregory Shakhnarovich, Stella X. Yu, Takuya Narihira and Jaety Edwards. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, Current Biology, IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the ACM on Programming Languages and Rejuvenation Research.

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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