Ian Endres

3.0k total citations · 1 hit paper
11 papers, 1.6k citations indexed

About

Ian Endres is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Ian Endres has authored 11 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Ocean Engineering. Recurrent topics in Ian Endres's work include Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Ian Endres is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Ian Endres collaborates with scholars based in United States and Finland. Ian Endres's co-authors include Derek Hoiem, Ali Farhadi, David Forsyth, Kevin J. Shih, Alexander Sorokin, Gang Wang, Tamara L. Berg, Nicolas Loeff, Victor Lu and Matei Stroila and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Ian Endres

11 papers receiving 1.5k 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.

Describing objects by their attributes

2009 1.2k citations Ali Farhadi, Ian Endres et al. 2009 IEEE Conference on Computer Vision and Pattern Recognition profile →

Peers

Countries citing papers authored by Ian Endres

Since Specialization

Citations

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

Fields of papers citing papers by Ian Endres

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Endres

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

#	Work	Indexed citations
1	Parking Lot Instance Segmentation from Satellite Imagery through Associative Embeddings 2019 ·(unknown), (unknown), (unknown), Ian Endres	2
2	Category-Independent Object Proposals with Diverse Ranking 2014 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Ian Endres, Derek Hoiem	147
3	Learning Discriminative Collections of Part Detectors for Object Recognition 2014 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Kevin J. Shih, Ian Endres, Derek Hoiem	6
4	Accelerating arrays of linear classifiers using approximate range queries 2014 ·Victor Lu, Ian Endres, Matei Stroila, John C. Hart	2
5	Learning Collections of Part Models for Object Recognition 2013 ·Ian Endres, Kevin J. Shih, (unknown), Derek Hoiem	41
6	It's All About the Data 2010 ·Proceedings of the IEEE ·Tamara L. Berg, Alexander Sorokin, Gang Wang, David Forsyth, Derek Hoiem, Ian Endres, Ali Farhadi	19
7	Attribute-centric recognition for cross-category generalization 2010 ·Ali Farhadi, Ian Endres, Derek Hoiem	119
8	The benefits and challenges of collecting richer object annotations 2010 ·Ian Endres, Ali Farhadi, Derek Hoiem, David Forsyth	30
9	Describing objects by their attributes breakdown → 2009 ·2009 IEEE Conference on Computer Vision and Pattern Recognition ·Ali Farhadi, Ian Endres, Derek Hoiem, David Forsyth	1159
10	A latent model of discriminative aspect 2009 ·Zenodo (CERN European Organization for Nuclear Research) ·Ali Farhadi, (unknown), Ian Endres, David Forsyth	50
11	Unlabeled data improvesword prediction 2009 ·Zenodo (CERN European Organization for Nuclear Research) ·Nicolas Loeff, Ali Farhadi, Ian Endres, David Forsyth	8

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.

Explore authors with similar magnitude of impact