Lubomir Bourdev

19.4k citations
28 papers · 3.9k indexed · 3 hit papers · h-index 20

Impact in

Papers in

Lubomir Bourdev

27 papers receiving 3.7k citations

Hit Papers

PANDA: Pose Aligned Networks for Deep Attribute Modeling 2014 · 317 citations
3172009202620142020250500750

Peers

Lubomir Bourdev
Comparison fields: 5 of 128
  • Computer Vision and Pattern Recognition 3.4k
  • Computer Graphics and Computer-Aided Design 331
  • Human-Computer Interaction 232
  • Artificial Intelligence 1.2k
  • Media Technology 155
Replace Leonid Sigal with:
Leonid Sigal United States
Yi-Zhe Song United Kingdom
Jingwan Lu United States
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Citations per field
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Citations per year

Countries citing papers authored by Lubomir Bourdev

Since Specialization
Citations

This map shows the geographic impact of Lubomir 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 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 Bourdev more than expected).

Fields of papers citing papers by Lubomir Bourdev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 201550
3
PANDA: Pose Aligned Networks for Deep Attribute Modeling
Hit paper breakdown →
2014317
4 20141
5
C3D: Generic Features for Video Analysis.
2014177
6
Face morphing using 3D-aware appearance optimization
201216
7 2012171
8 201231
9 20111
10
Semantic contours from inverse detectors
Hit paper breakdown →
2011944
11
Poselets and Their Applications in High-Level Computer Vision - eScholarship
20110
12
Poselets and their applications in high-level computer vision
20113
13 2011195
14 2011113
15 201189
16 2011217
17
Poselets: Body part detectors trained using 3D human pose annotations
Hit paper breakdown →
2009631
18 200811
19 1999101
20 1997227

About Lubomir Bourdev

Lubomir Bourdev is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Artificial Intelligence and Hardware and Architecture, having authored 28 papers that have together received 3.9k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Face recognition and analysis (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Video Surveillance and Tracking Methods (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Vision and Imaging (4 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Computer Graphics and Computer-Aided Design (331 citations), Human-Computer Interaction (232 citations), Artificial Intelligence (1.2k citations) and Media Technology (155 citations). Lubomir Bourdev has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Jitendra Malik, Subhransu Maji, Pablo Arbeláez, Bharath Hariharan, Manohar Paluri, Jonathan Brandt, Ning Zhang, Trevor Darrell, Marc’Aurelio Ranzato and Jue Wang. Their work appears in journals such as ACM Transactions on Graphics, Science of Computer Programming, Journal of Vision and Graphics Interface.

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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