World's Best Scientists 2026 revealed!
Lubomir Bourdev

Lubomir Bourdev

D-Index & Metrics

Computer Science

D-Index
42
Citations
27718
World Ranking
8129
National Ranking
3481

Overview

Lubomir Bourdev is affiliated with WaveOne, Inc. in the United States and focuses their research primarily in the field of Computer Science. Their work predominantly addresses topics within Computer Vision and Pattern Recognition, complemented by contributions to Signal Processing.

Their research spans a variety of specialized topics, including:

  • Advanced Image Processing Techniques
  • Image and Video Quality Assessment
  • Video Coding and Compression Technologies
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications

Bourdev has published several recent papers in notable venues. These include:

  • "RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection," 2024, published at Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "ELF-VC: Efficient Learned Flexible-Rate Video Coding," 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "PIM: Video Coding using Perceptual Importance Maps," 2022, available on arXiv (Cornell University)
  • "An Interactive Annotation Tool for Perceptual Video Compression," 2022, available on arXiv (Cornell University)

The venues where Bourdev frequently publishes include:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Bourdev regularly collaborates with several coauthors, most notably:

  • Oren Rippel
  • Alexander G. Anderson
  • Kedar Tatwawadi
  • Evgenya Pergament
  • Pulkit Tandon

Best Publications

  • Learning Spatiotemporal Features with 3D Convolutional Networks

    Du Tran;Du Tran;Lubomir Bourdev;Rob Fergus;Lorenzo Torresani

  • Microsoft COCO: Common Objects in Context

    Tsung-Yi Lin;Michael Maire;Serge Belongie;Lubomir Bourdev

  • Semantic contours from inverse detectors

    Bharath Hariharan;Pablo Arbelaez;Lubomir Bourdev;Subhransu Maji

  • Compressing Deep Convolutional Networks using Vector Quantization

    Yunchao Gong;Liu Liu;Ming Yang;Lubomir D. Bourdev

  • Poselets: Body part detectors trained using 3D human pose annotations

    Lubomir Bourdev;Jitendra Malik

  • Interactive facial feature localization

    Vuong Le;Jonathan Brandt;Zhe Lin;Lubomir Bourdev

  • PANDA: Pose Aligned Networks for Deep Attribute Modeling

    Ning Zhang;Manohar Paluri;Marc'Aurelio Ranzato;Trevor Darrell

  • Training Convolutional Networks with Noisy Labels

    Sainbayar Sukhbaatar;Joan Bruna;Manohar Paluri;Lubomir Bourdev

  • Real-time nonphotorealistic rendering

    Lee Markosian;Michael A. Kowalski;Daniel Goldstein;Samuel J. Trychin

  • Detecting people using mutually consistent poselet activations

    Lubomir Bourdev;Subhransu Maji;Thomas Brox;Jitendra Malik

  • Robust object detection via soft cascade

    L. Bourdev;J. Brandt

  • Describing people: A poselet-based approach to attribute classification

    Lubomir Bourdev;Subhransu Maji;Jitendra Malik

  • Real-time adaptive image compression

    Oren Rippel;Lubomir Bourdev

  • C3D: Generic Features for Video Analysis.

    Du Tran;Lubomir D. Bourdev;Rob Fergus;Lorenzo Torresani

  • Action recognition from a distributed representation of pose and appearance

    Subhransu Maji;Lubomir Bourdev;Jitendra Malik

  • Semantic segmentation using regions and parts

    Pablo Arbelaez;Bharath Hariharan;Chunhui Gu;Saurabh Gupta

  • Art-based rendering of fur, grass, and trees

    Michael A. Kowalski;Lee Markosian;J. D. Northrup;Lubomir Bourdev

  • Autocompleting form fields based on previously entered values

    Lubomir D. Bourdev

  • Expression flow for 3D-aware face component transfer

    Fei Yang;Jue Wang;Eli Shechtman;Lubomir Bourdev

  • Learned Video Compression

    Oren Rippel;Sanjay Nair;Carissa Lew;Steve Branson

  • Metric Learning with Adaptive Density Discrimination

    Oren Rippel;Oren Rippel;Manohar Paluri;Piotr Dollar;Lubomir Bourdev

Frequent Co-Authors

Rob Fergus
Rob Fergus New York University
Jitendra Malik
Jitendra Malik University of California, Berkeley
Subhransu Maji
Subhransu Maji University of Massachusetts Amherst
Jue Wang
Jue Wang Tencent (China)
Piotr Dollar
Piotr Dollar Facebook (United States)
Jonathan Brandt
Jonathan Brandt Adobe Systems (United States)
Lorenzo Torresani
Lorenzo Torresani Facebook (United States)
Jason Weston
Jason Weston Facebook (United States)
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Pablo Arbeláez
Pablo Arbeláez Universidad de Los Andes

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a career in computer science often opens doors to a variety of related fields and flexible study options. Today, many students choose distance learning for its cost-effectiveness and convenience. For those interested in the theoretical foundations of technology, the best online physics degree programs provide a solid base for careers in research or engineering.

The data science learning path is gaining in popularity as industries require professionals skilled in managing and interpreting big data. Similarly, students wanting to specialize in systems and hardware design can look into the best online electrical engineering programs USA to pave the way for roles in development and innovation.

Additionally, gaining certifications that pay well can boost your employability and fast-track your tech career. These related online programs and certifications offer flexible pathways for students eager to expand their expertise, adapt to industry needs, and secure rewarding roles in the technology sector.

Best Scientists Citing Lubomir Bourdev

Trending Scientists