Michael S. Lew

8.5k total citations · 3 hit papers
117 papers, 5.0k citations indexed

About

Michael S. Lew is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Michael S. Lew has authored 117 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 9 papers in Aerospace Engineering. Recurrent topics in Michael S. Lew's work include Advanced Image and Video Retrieval Techniques (75 papers), Image Retrieval and Classification Techniques (61 papers) and Video Analysis and Summarization (32 papers). Michael S. Lew is often cited by papers focused on Advanced Image and Video Retrieval Techniques (75 papers), Image Retrieval and Classification Techniques (61 papers) and Video Analysis and Summarization (32 papers). Michael S. Lew collaborates with scholars based in Netherlands, China and United States. Michael S. Lew's co-authors include Mark J. Huiskes, Nicu Sebe, Ramesh Jain, Chabane Djeraba, Yu Liu, Yanming Guo, Theodoros Georgiou, Erwin M. Bakker, Bart Thomée and Thomas S. Huang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Michael S. Lew

104 papers receiving 4.7k citations

Hit Papers

align trajectories

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.

The MIR flickr retrieval evaluation

2008 1.3k citations Michael S. Lew et al. profile →
Content-based multimedia information retrieval

2006 981 citations Michael S. Lew, Nicu Sebe et al. profile →
A review of semantic segmentation using deep neural networks

2017 569 citations Yu Liu, Theodoros Georgiou et al. International Journal of Multimedia Information Retrieval 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 replay samples domain-modality-mix reconstruction and cross-domain cognitive network 2025 ·Computer Vision and Image Understanding ·(unknown), Guoqiang Xiao, Michael S. Lew, Song Wu	0
2	Mask prior generation with language queries guided networks for referring image segmentation 2025 ·Computer Vision and Image Understanding ·(unknown), Guoqiang Xiao, Michael S. Lew, Song Wu	0
3	Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible–infrared Person Re-identification 2024 ·Engineering Applications of Artificial Intelligence ·Song Wu, (unknown), Guoqiang Xiao, Michael S. Lew, Xinbo Gao	5
4	DPD (DePression Detection) Net: a deep neural network for multimodal depression detection 2024 ·Health Information Science and Systems ·(unknown), Erwin M. Bakker, Michael S. Lew	7
5	Implicit Modality Knowledge Alignment and Uncertainty Estimation for visible-infrared person re-identification 2024 ·Expert Systems with Applications ·Song Wu, (unknown), Guoqiang Xiao, Michael S. Lew, Xinbo Gao	2
6	COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Nan Pu, Yu Liu, (unknown), Erwin M. Bakker, Michael S. Lew	12
7	Dual selective knowledge transfer for few-shot classification 2023 ·Applied Intelligence ·(unknown), Nan Pu, (unknown), Erwin M. Bakker, Michael S. Lew	2
8	Few-shot and meta-learning methods for image understanding: a survey 2023 ·International Journal of Multimedia Information Retrieval ·Kai He, Nan Pu, (unknown), Michael S. Lew	18
9	Deep Learning for Instance Retrieval: A Survey 2022 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, (unknown), Paul Fieguth, Li Liu, Michael S. Lew	115
10	Norm Loss: An efficient yet effective regularization method for deep neural networks 2021 ·Leiden Repository (Leiden University) ·Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew	0
11	Comparison of deep learning and hand crafted features for mining simulation data 2021 ·Leiden Repository (Leiden University) ·Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew	0
12	Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification 2020 ·Leiden Repository (Leiden University) ·Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew	72
13	Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval 2019 ·Wei Chen, Nan Pu, Yu Liu, Erwin M. Bakker, Michael S. Lew	3
14	Salient features for visual word based image copy detection 2014 ·Song Wu, Michael S. Lew	3
15	Proceedings of the 1st ACM international conference on Multimedia information retrieval 2008 ·Michael S. Lew, Alberto Del Bimbo, Erwin M. Bakker	48
16	Relevance feedback 2004 ·(unknown), (unknown), Bart Thomée, Michael S. Lew	15
17	Proceedings of the 2nd international conference on Image and video retrieval 2003 ·Erwin M. Bakker, Michael S. Lew, Thomas S. Huang, Nicu Sebe, Xiang Zhou	3
18	Which ranking metric is optimal? With applications in image retrieval and stereo matching 2002 ·Nicu Sebe, Michael S. Lew, D. P. Huijsmans	5
19	Salient Points for Content-Based Retrieval 2001 ·Nicu Sebe, Michael S. Lew	20
20	Efficient content-based image retrieval in digital picture collections using projections: (near)-copy location 1996 ·D. P. Huijsmans, Michael S. Lew	6

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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