Erik Learned-Miller

12.7k citations

95 papers · 4.4k · 3 hit papers · h-index 26

Impact in

Computer Vision and Pattern Recognition top 0.2%
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image Retrieval and Classification Techniques
Signal Processing top 1%
- Biometric Identification and Security

Papers in

Computer Vision and Pattern Recognition 70
- Advanced Image and Video Retrieval Techniques 33
- Image Retrieval and Classification Techniques 18
- Handwritten Text Recognition Techniques 16
- Face and Expression Recognition 15
- Face recognition and analysis 14
- Advanced Vision and Imaging 12
- Video Surveillance and Tracking Methods 10
Artificial Intelligence 27
- Domain Adaptation and Few-Shot Learning 10

Co-authors: Vidit Jain (5 shared papers)Laura Sevilla-Lara (2 shared papers)Honglak Lee (4 shared papers)Huaizu Jiang (6 shared papers)Gary B. Huang (10 shared papers)Jan Kautz (3 shared papers)Deqing Sun (3 shared papers)Guoyang Huang (1 shared paper)
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)International Journal of Computer Vision (2 papers)Scientific Reports (1 paper)International Journal on Document Analysis and Recognition (IJDAR) (1 paper)IEEE Transactions on Mobile Computing (1 paper)
Partner nations: United States United Kingdom Germany

In The Last Decade

Erik Learned-Miller

92 papers receiving 4.2k citations

Hit Papers

align trajectories log scale

Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation 2018 · 491 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
2012 ScholarWorks@UMassAmherst (University of Massachusetts Amherst)
2010 ScholarWorks@UMassAmherst (University of Massachusetts Amherst)

Peers

Countries citing papers authored by Erik Learned-Miller

Since Specialization

Citations

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

Fields of papers citing papers by Erik Learned-Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik Learned-Miller. 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 Erik Learned-Miller. The network helps show where Erik Learned-Miller may publish in the future.

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	FDDB: A benchmark for face detection in unconstrained settings ScholarWorks@UMassAmherst (University of Massachusetts Amherst) ·Vidit Jain, Erik Learned-Miller Hit paper breakdown →	2010	558
2	Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation Huaizu Jiang, Deqing Sun, Varan Jampani, Ming–Hsuan Yang, Erik Learned-Miller, Jan Kautz Hit paper breakdown →	2018	491
3	Distribution fields for tracking ScholarWorks@UMassAmherst (University of Massachusetts Amherst) ·Laura Sevilla-Lara, Erik Learned-Miller Hit paper breakdown →	2012	385
4	Learning hierarchical representations for face verification with convolutional deep belief networks Guoyang Huang, Honglak Lee, Erik Learned-Miller	2012	276
5	In Defense of Grid Features for Visual Question Answering Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik Learned-Miller, Xinlei Chen	2020	232
6	Unsupervised Joint Alignment of Complex Images Scholarworks (University of Massachusetts Amherst) ·Gary B. Huang, Vidit Jain, Erik Learned-Miller	2007	224
7	Data driven image models through continuous joint alignment IEEE Transactions on Pattern Analysis and Machine Intelligence ·Erik Learned-Miller	2006	202
8	Pixel-Adaptive Convolutional Neural Networks Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz	2019	184
9	Learning to Align from Scratch ScholarWorks@UMassAmherst (University of Massachusetts Amherst) ·Gary B. Huang, Marwan Mattar, Honglak Lee, Erik Learned-Miller	2012	158
10	Scene Text Recognition Using Similarity and a Lexicon with Sparse Belief Propagation IEEE Transactions on Pattern Analysis and Machine Intelligence ·Jerod Weinman, Erik Learned-Miller, Allen R. Hanson	2009	120
11	Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling Andrew Kae, Kihyuk Sohn, Honglak Lee, Erik Learned-Miller	2013	115
12	Online domain adaptation of a pre-trained cascade of classifiers Vidit Jain, Erik Learned-Miller	2011	114
13	Combining Local and Global Image Features for Object Class Recognition Dimitri Lisin, Marwan Mattar, Matthew B. Blaschko, Erik Learned-Miller, Mark C. Benfield	2006	108
14	From Neural Re-Ranking to Neural Ranking UvA-DARE (University of Amsterdam) ·Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik Learned-Miller, Jaap Kamps	2018	79
15	One-to-many face recognition with bilinear CNNs Aruni Roy Chowdhury, Tsung‐Yu Lin, Subhransu Maji, Erik Learned-Miller	2016	71
16	Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples Neural Information Processing Systems ·Haw-Shiuan Chang, Erik Learned-Miller, Andrew McCallum	2017	53
17	Introduction to the special section on real-world face recognition IEEE Transactions on Pattern Analysis and Machine Intelligence ·Gang Hua, Shuicheng Yan, Erik Learned-Miller, Yi Ma, Matthew Turk, David Kriegman, Thomas S. Huang	2011	51
18	SENSE: A Shared Encoder Network for Scene-Flow Estimation Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller, Jan Kautz	2019	47
19	Building a classification cascade for visual identification from one example Andras Ferencz, Erik Learned-Miller, Jitendra Malik	2005	42
20	The UMass Mobile Manipulator UMan: An Experimental Platform for Autonomous Mobile Manipulation ScholarWorks@UMassAmherst (University of Massachusetts Amherst) ·Dov Katz, Emily Horrell, Yuandong Yang, Brendan Burns, Thomas Buckley, Anna Grishkan, Volodymyr Zhylkovskyy, Oliver Brock, Erik Learned-Miller	2006	39

About Erik Learned-Miller

Erik Learned-Miller is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Aerospace Engineering and Computer Networks and Communications, having authored 95 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (33 papers), Image Retrieval and Classification Techniques (18 papers), Handwritten Text Recognition Techniques (16 papers), Face and Expression Recognition (15 papers), Face recognition and analysis (14 papers), Advanced Vision and Imaging (12 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Video Surveillance and Tracking Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.6k citations), Signal Processing (545 citations), Media Technology (392 citations), Artificial Intelligence (846 citations) and Computational Mathematics (9 citations). Erik Learned-Miller has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Vidit Jain, Laura Sevilla-Lara, Honglak Lee, Huaizu Jiang, Gary B. Huang, Jan Kautz, Deqing Sun, Guoyang Huang, Ming–Hsuan Yang and Marwan Mattar. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Scientific Reports, International Journal on Document Analysis and Recognition (IJDAR) and IEEE Transactions on Mobile Computing.

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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