World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
28351
World Ranking
4428
National Ranking
2070

Research.com Recognitions

  • 2013 - Fellow of Alfred P. Sloan Foundation

Overview

Derek Hoiem is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research contributions predominantly focus on computer science, with a specialization in computer vision and related subfields.

The main subfields of study for Derek Hoiem include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • General Health Professions
  • Software
  • Molecular Biology

Derek Hoiem's work covers several key research topics such as:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Topic Modeling
  • Image Enhancement Techniques
  • Machine Learning and Data Classification

Their publication record includes a variety of recent papers, demonstrating ongoing research activity:

  • "Manhattan Room Layout Reconstruction from a Single 360° Image: A Comparative Study of State-of-the-Art Methods" (2021), International Journal of Computer Vision
  • "Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners" (2022), arXiv (Cornell University)
  • "PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility" (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "GRIT: General Robust Image Task Benchmark" (2022), arXiv (Cornell University)

The most frequent publication venues for Derek Hoiem include:

  • arXiv (Cornell University)
  • International Journal of Computer Vision
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Lecture Notes in Computer Science

Collaboration is notable in Derek Hoiem's work, with frequent coauthors being:

  • Jae Yong Lee
  • Chuhang Zou
  • Aniruddha Kembhavi
  • Yuqun Wu
  • Tanmay Gupta

In 2013, Derek Hoiem was recognized as a Fellow of the Alfred P. Sloan Foundation.

Best Publications

  • Indoor segmentation and support inference from RGBD images

    Nathan Silberman;Derek Hoiem;Pushmeet Kohli;Rob Fergus

  • Learning without Forgetting

    Zhizhong Li;Derek Hoiem

  • Describing objects by their attributes

    Ali Farhadi;Ian Endres;Derek Hoiem;David Forsyth

  • Putting Objects in Perspective

    D. Hoiem;A.A. Efros;M. Hebert

  • Recovering Surface Layout from an Image

    Derek Hoiem;Alexei A. Efros;Martial Hebert

  • Geometric context from a single image

    D. Hoiem;A.A. Efros;M. Hebert

  • Automatic photo pop-up

    Derek Hoiem;Alexei A. Efros;Martial Hebert

  • An empirical study of context in object detection

    Santosh K Divvala;Derek Hoiem;James H Hays;Alexei A Efros

  • Recovering the spatial layout of cluttered rooms

    Varsha Hedau;Derek Hoiem;David Forsyth

  • Diagnosing error in object detectors

    Derek Hoiem;Yodsawalai Chodpathumwan;Qieyun Dai

  • Category independent object proposals

    Ian Endres;Derek Hoiem

  • Where to Look: Focus Regions for Visual Question Answering

    Kevin J. Shih;Saurabh Singh;Derek Hoiem

  • Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion

    Hongxu Yin;Pavlo Molchanov;Jose M. Alvarez;Zhizhong Li

  • Paired Regions for Shadow Detection and Removal

    Ruiqi Guo;Qieyun Dai;Derek Hoiem

  • Learning CRFs Using Graph Cuts

    Martin Szummer;Pushmeet Kohli;Derek Hoiem

  • Single-image shadow detection and removal using paired regions

    Ruiqi Guo;Qieyun Dai;Derek Hoiem

  • Thinking inside the box: using appearance models and context based on room geometry

    Varsha Hedau;Derek Hoiem;David Forsyth

  • Rendering synthetic objects into legacy photographs

    Kevin Karsch;Varsha Hedau;David Forsyth;Derek Hoiem

  • Photo clip art

    Jean-François Lalonde;Derek Hoiem;Alexei A. Efros;Carsten Rother

  • Category-Independent Object Proposals with Diverse Ranking

    Ian Endres;Derek Hoiem

Frequent Co-Authors

David Forsyth
David Forsyth University of Illinois at Urbana-Champaign
Martial Hebert
Martial Hebert Carnegie Mellon University
Alexei A. Efros
Alexei A. Efros University of California, Berkeley
Ali Farhadi
Ali Farhadi University of Washington
Rahul Sukthankar
Rahul Sukthankar Google (United States)
Alexander G. Schwing
Alexander G. Schwing University of Illinois at Urbana-Champaign
Timothy Bretl
Timothy Bretl University of Illinois at Urbana-Champaign
James Hays
James Hays Georgia Institute of Technology
Jan Kautz
Jan Kautz Nvidia (United States)
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)

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