H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 45 Citations 20,621 89 World Ranking 3613 National Ranking 1866

Research.com Recognitions

Awards & Achievements

2013 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His primary areas of investigation include Artificial intelligence, Computer vision, Machine learning, Image and Object. His research combines Pattern recognition and Artificial intelligence. His studies examine the connections between Computer vision and genetics, as well as such issues in Perspective, with regards to Image processing.

His Machine learning research is multidisciplinary, incorporating perspectives in Method, Feature extraction and Pascal. His Image research incorporates themes from Visualization, Segmentation and Knowledge extraction. His Object research is multidisciplinary, relying on both Computer graphics and Statistical model.

His most cited work include:

  • Indoor segmentation and support inference from RGBD images (2739 citations)
  • Describing objects by their attributes (1592 citations)
  • Putting Objects in Perspective (826 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Computer vision, Pattern recognition, Image and Object are his primary areas of study. His Artificial intelligence study often links to related topics such as Machine learning. His Computer vision research incorporates elements of Perspective and Inference.

His work on Support vector machine as part of general Pattern recognition research is often related to Set, thus linking different fields of science. His Image study combines topics in areas such as Enhanced Data Rates for GSM Evolution, Geometry, Surface and Computer graphics. His Object research includes elements of Visual reasoning and Representation.

He most often published in these fields:

  • Artificial intelligence (84.43%)
  • Computer vision (46.72%)
  • Pattern recognition (31.97%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (84.43%)
  • Image (22.13%)
  • Pattern recognition (31.97%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Artificial intelligence, Image, Pattern recognition, Computer vision and Type. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Natural language processing. He has researched Image in several fields, including State and Computer graphics.

His Pattern recognition research includes themes of Real image and Task. Derek Hoiem works mostly in the field of Object, limiting it down to concerns involving Surface and, occasionally, Robustness. The concepts of his Classifier study are interwoven with issues in Contextual image classification and Inference.

Between 2018 and 2021, his most popular works were:

  • Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion (54 citations)
  • No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques (43 citations)
  • Complete 3D Scene Parsing from an RGBD Image (16 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Derek Hoiem mainly focuses on Artificial intelligence, Pattern recognition, Task analysis, Knowledge transfer and Artificial neural network. His work on Object, Word and Mutual information as part of general Artificial intelligence study is frequently linked to Code and Construct, bridging the gap between disciplines. The study of Object is intertwined with the study of Pattern recognition in a number of ways.

Bayesian inference, Machine learning, Inference, Classifier and Training set are fields of study that overlap with his Task analysis research. His Knowledge transfer research includes a combination of various areas of study, such as Normalization, Real image, Normalization and Divergence.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Indoor segmentation and support inference from RGBD images

Nathan Silberman;Derek Hoiem;Pushmeet Kohli;Rob Fergus.
european conference on computer vision (2012)

2691 Citations

Describing objects by their attributes

Ali Farhadi;Ian Endres;Derek Hoiem;David Forsyth.
computer vision and pattern recognition (2009)

1749 Citations

Putting Objects in Perspective

D. Hoiem;A.A. Efros;M. Hebert.
computer vision and pattern recognition (2006)

1308 Citations

Geometric context from a single image

D. Hoiem;A.A. Efros;M. Hebert.
international conference on computer vision (2005)

842 Citations

Recovering Surface Layout from an Image

Derek Hoiem;Alexei A. Efros;Martial Hebert.
International Journal of Computer Vision (2007)

817 Citations

Automatic photo pop-up

Derek Hoiem;Alexei A. Efros;Martial Hebert.
international conference on computer graphics and interactive techniques (2005)

791 Citations

Learning without Forgetting

Zhizhong Li;Derek Hoiem.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2018)

754 Citations

Category independent object proposals

Ian Endres;Derek Hoiem.
european conference on computer vision (2010)

595 Citations

An empirical study of context in object detection

Santosh K Divvala;Derek Hoiem;James H Hays;Alexei A Efros.
computer vision and pattern recognition (2009)

512 Citations

Diagnosing error in object detectors

Derek Hoiem;Yodsawalai Chodpathumwan;Qieyun Dai.
european conference on computer vision (2012)

495 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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

Contact us

Top Scientists Citing Derek Hoiem

Devi Parikh

Devi Parikh

Facebook (United States)

Publications: 72

Jitendra Malik

Jitendra Malik

University of California, Berkeley

Publications: 72

Luc Van Gool

Luc Van Gool

ETH Zurich

Publications: 68

Abhinav Gupta

Abhinav Gupta

Facebook (United States)

Publications: 68

Silvio Savarese

Silvio Savarese

Stanford University

Publications: 63

Kristen Grauman

Kristen Grauman

Facebook (United States)

Publications: 63

Chunhua Shen

Chunhua Shen

University of Adelaide

Publications: 62

Martial Hebert

Martial Hebert

Carnegie Mellon University

Publications: 61

Antonio Torralba

Antonio Torralba

MIT

Publications: 56

Li Fei-Fei

Li Fei-Fei

Stanford University

Publications: 54

Bernt Schiele

Bernt Schiele

Max Planck Institute for Informatics

Publications: 53

Raquel Urtasun

Raquel Urtasun

University of Toronto

Publications: 50

Ali Farhadi

Ali Farhadi

University of Washington

Publications: 48

Tsuhan Chen

Tsuhan Chen

Cornell University

Publications: 46

Vittorio Ferrari

Vittorio Ferrari

Google (United States)

Publications: 46

Something went wrong. Please try again later.