Michael S. Lew

4.0k total citations · 1 hit paper
34 papers, 2.7k citations indexed

About

Michael S. Lew is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael S. Lew has authored 34 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael S. Lew's work include Advanced Image and Video Retrieval Techniques (19 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Multimodal Machine Learning Applications (8 papers). Michael S. Lew is often cited by papers focused on Advanced Image and Video Retrieval Techniques (19 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Multimodal Machine Learning Applications (8 papers). Michael S. Lew collaborates with scholars based in Netherlands, China and United States. Michael S. Lew's co-authors include Yu Liu, Yanming Guo, Ard Oerlemans, Songyang Lao, Song Wu, Thomas S. Huang, Nicu Sebe, Erwin M. Bakker, Theo Gevers and Ira L. Cohen and has published in prestigious journals such as Pattern Recognition, Computer and Neurocomputing.

In The Last Decade

Michael S. Lew

34 papers receiving 2.6k citations

Hit Papers

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What are hit papers?

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.

Deep learning for visual understanding: A review

2015 1.7k citations Yanming Guo, Yu Liu et al. Neurocomputing profile →

Peers

Countries citing papers authored by Michael S. Lew

Since Specialization

Citations

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

Fields of papers citing papers by Michael S. Lew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Lew

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Lew. A scholar is included among the top collaborators of Michael S. Lew 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 Michael S. Lew. Michael S. Lew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Lifelong Visible-Infrared Person Re-Identification via a Tri-Token Transformer with a Query-Key Mechanism 2024 ·(unknown), Guoqiang Xiao, Michael S. Lew, (unknown)	3
2	Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation 2023 ·Institutional Research Information System (Università degli Studi di Trento) ·(unknown), Nan Pu, (unknown), Zhun Zhong, Erwin M. Bakker, Nicu Sebe, Michael S. Lew	2
3	FedVQA: Personalized Federated Visual Question Answering over Heterogeneous Scenes 2023 ·Institutional Research Information System (Università degli Studi di Trento) ·(unknown), Nan Pu, Zhun Zhong, Nicu Sebe, Michael S. Lew	4
4	Multi-stage hybrid embedding fusion network for visual question answering 2020 ·Neurocomputing ·(unknown), Yanming Guo, Nan Pu, Wei Chen, Yu Liu, Michael S. Lew	18
5	A Dual Prediction Network for Image Captioning 2018 ·University of Oulu Repository (University of Oulu) ·Yanming Guo, Yu Liu, Maaike de Boer, Li Liu, Michael S. Lew	4
6	An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation 2018 ·Yu Liu, Yanming Guo, Wei Chen, Michael S. Lew	4
7	Learning Fluid Flows 2018 ·Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, (unknown), Thomas Bäck, Michael S. Lew	6
8	Learning visual and textual representations for multimodal matching and classification 2018 ·Pattern Recognition ·Yu Liu, Li Liu, Yanming Guo, Michael S. Lew	24
9	CNN-RNN: a large-scale hierarchical image classification framework 2017 ·Multimedia Tools and Applications ·Yanming Guo, Yu Liu, Erwin M. Bakker, Yuanhao Guo, Michael S. Lew	94
10	Learning Relaxed Deep Supervision for Better Edge Detection 2016 ·Yu Liu, Michael S. Lew	84
11	Deep learning for visual understanding: A review breakdown → 2015 ·Neurocomputing ·Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu, Michael S. Lew	1737
12	Using an artificial imagination for texture retrieval 2008 ·Proceedings - International Conference on Pattern Recognition ·Bart Thomée, Mark J. Huiskes, Erwin M. Bakker, Michael S. Lew	7
13	Human-computer interaction : IEEE International Workshop, HCI 2007, Rio de Janeiro, Brazil, October 20, 2007 : proceedings 2007 ·Springer eBooks ·Michael S. Lew, Nicu Sebe, Thomas S. Huang, Erwin M. Bakker	1
14	Human–Computer Interaction 2007 ·Lecture notes in computer science ·Michael S. Lew, Nicu Sebe, Thomas S. Huang, Erwin M. Bakker	25
15	Computer Vision in Human-Computer Interaction 2006 ·Lecture notes in computer science ·Thomas S. Huang, Nicu Sebe, Vladimir Pavlović, Michael S. Lew, Mathias Kölsch, Branislav Kisačanin, Aphrodite Galata	13
16	Authentic facial expression analysis 2006 ·Image and Vision Computing ·Nicu Sebe, Michael S. Lew, Yanjing Sun, Ira L. Cohen, Theo Gevers, Thomas S. Huang	171
17	Computer Vision in Human-Computer Interaction 2005 ·Lecture notes in computer science ·Thomas S. Huang, Nicu Sebe, Michael S. Lew	7
18	Cati dance 2003 ·Tristan Jehan, Michael S. Lew, Cati Vaucelle	7
19	Principles of Visual Information Retrieval 2001 ·Michael S. Lew	163
20	Learning visual concepts 1999 ·(unknown), Michael S. Lew	1

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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