Lubomir D. Bourdev

19.0k citations
35 papers · 13.5k · 5 hit papers · h-index 27

Impact in

Papers in

Lubomir D. Bourdev

34 papers receiving 13.2k citations

Lubomir D. Bourdev's Hit Papers

Learning Spatiotemporal Features with 3D Convolutional Networks 2015 · 7.3k citations
7.3k0+5+11Years since publication2.0k4.0k6.0k

Peers

Lubomir D. Bourdev
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 8.0k
  • Computer Graphics and Computer-Aided Design 327
  • Human-Computer Interaction 404
  • Signal Processing 278
  • Artificial Intelligence 863
Replace J.K. Aggarwal with:
J.K. Aggarwal United States
Stan Sclaroff United States
Theo Gevers Netherlands
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Ying Nian Wu United States
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Jüergen Gall Germany
Yichen Wei China
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Citations per year

Countries citing papers authored by Lubomir D. Bourdev

Since Specialization
Citations

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

Fields of papers citing papers by Lubomir D. Bourdev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lubomir D. Bourdev. 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 Lubomir D. Bourdev. The network helps show where Lubomir D. Bourdev may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning Spatiotemporal Features with 3D Convolutional Networks
Hit paper breakdown →
20157251
2
Semantic contours from inverse detectors
Hit paper breakdown →
20111213
3
Poselets: Body part detectors trained using 3D human pose annotations
Hit paper breakdown →
2009777
4
Interactive Facial Feature Localization
Hit paper breakdown →
2012720
5
PANDA: Pose Aligned Networks for Deep Attribute Modeling
Hit paper breakdown →
2014400
6 2010287
7 2011279
8 2005262
9 1997248
10 2011248
11
C3D: Generic Features for Video Analysis.
2014235
12 2012202
13 2019165
14 2015123
15 2011122
16 2011112
17 2011103
18 1999102
19 202191
20 201585

About Lubomir D. Bourdev

Lubomir D. Bourdev is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Human-Computer Interaction and Artificial Intelligence, having authored 35 papers that have together received 13.5k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Face recognition and analysis (7 papers), Advanced Neural Network Applications (6 papers), Computer Graphics and Visualization Techniques (3 papers), Video Coding and Compression Technologies (2 papers), Usability and User Interface Design (1 paper), Logic, programming, and type systems (1 paper) and Image and Video Quality Assessment (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (8.0k citations), Computer Graphics and Computer-Aided Design (327 citations), Human-Computer Interaction (404 citations), Signal Processing (278 citations) and Artificial Intelligence (863 citations). Lubomir D. Bourdev has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Manohar Paluri, Rob Fergus, Du Tran, Lorenzo Torresani, Jitendra Malik, Subhransu Maji, Pablo Arbeláez, Bharath Hariharan, Jonathan Brandt and Thomas S. Huang. Their work appears in journals such as ACM Transactions on Graphics, Science of Computer Programming, Journal of Vision, Lecture notes in computer science and ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH).

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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