H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 37 Citations 9,748 85 World Ranking 5371 National Ranking 512

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary scientific interests are in Artificial intelligence, Pattern recognition, Computer vision, RGB color model and Cognitive neuroscience of visual object recognition. Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Multivariate statistics. In Pattern recognition, Liefeng Bo works on issues like Contextual image classification, which are connected to Iterative reconstruction.

Liefeng Bo has included themes like Kernel and Feature vector in his Computer vision study. His RGB color model research focuses on subjects like Scene labeling, which are linked to Point cloud. His Cognitive neuroscience of visual object recognition research is multidisciplinary, incorporating elements of Visualization and Feature.

His most cited work include:

  • A large-scale hierarchical multi-view RGB-D object dataset (983 citations)
  • RGB-(D) scene labeling: Features and algorithms (375 citations)
  • Multiobjective immune algorithm with nondominated neighbor-based selection (343 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Support vector machine and Machine learning. His Cognitive neuroscience of visual object recognition, Feature extraction, Image, RGB color model and Object investigations are all subjects of Artificial intelligence research. His work deals with themes such as Contextual image classification, Kernel and Kernel, which intersect with Pattern recognition.

In his study, which falls under the umbrella issue of Computer vision, Coherence, Point cloud and Segmentation is strongly linked to Code. His studies deal with areas such as Algorithm, Mathematical optimization and Selection as well as Support vector machine. Many of his research projects under Machine learning are closely connected to Scalability with Scalability, tying the diverse disciplines of science together.

He most often published in these fields:

  • Artificial intelligence (77.89%)
  • Pattern recognition (40.00%)
  • Computer vision (34.74%)

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

  • Artificial intelligence (77.89%)
  • Computer vision (34.74%)
  • Process (5.26%)

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

Liefeng Bo focuses on Artificial intelligence, Computer vision, Process, Image and Data mining. His Artificial intelligence study is mostly concerned with Object detection, Convolutional neural network, Feature extraction, Language model and Artificial neural network. His work on Feature as part of general Computer vision research is often related to Drone, thus linking different fields of science.

His Image study combines topics from a wide range of disciplines, such as Dimension and Depth mapping. His studies in Data mining integrate themes in fields like Confidence value and Sensor fusion. Discriminative model is a subfield of Pattern recognition that he tackles.

Between 2018 and 2021, his most popular works were:

  • ScratchDet: Training Single-Shot Object Detectors From Scratch (54 citations)
  • Spatiotemporal CNN for Video Object Segmentation (34 citations)
  • VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results (28 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary scientific interests are in Artificial intelligence, Computer vision, Drone, Object detection and Process. His study deals with a combination of Artificial intelligence and Scratch. His Drone investigation overlaps with other areas such as Video tracking, Field, Tracking, Visualization and Crowd counting.

His Object detection research includes themes of Machine learning and Image. His Process studies intersect with other subjects such as Feature, Segmentation, Code, Object and Coherence. His research integrates issues of Crowds, Perspective and Discriminative model in his study of Feature.

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

A large-scale hierarchical multi-view RGB-D object dataset

Kevin Lai;Liefeng Bo;Xiaofeng Ren;Dieter Fox.
international conference on robotics and automation (2011)

1405 Citations

RGB-(D) scene labeling: Features and algorithms

Xiaofeng Ren;Liefeng Bo;Dieter Fox.
computer vision and pattern recognition (2012)

513 Citations

Multiobjective immune algorithm with nondominated neighbor-based selection

Maoguo Gong;Licheng Jiao;Haifeng Du;Liefeng Bo.
Evolutionary Computation (2008)

485 Citations

Unsupervised Feature Learning for RGB-D Based Object Recognition

Liefeng Bo;Xiaofeng Ren;Dieter Fox.
international symposium on experimental robotics (2013)

482 Citations

Kernel Descriptors for Visual Recognition

Liefeng Bo;Xiaofeng Ren;Dieter Fox.
neural information processing systems (2010)

431 Citations

Depth kernel descriptors for object recognition

Liefeng Bo;Xiaofeng Ren;Dieter Fox.
intelligent robots and systems (2011)

387 Citations

Efficient Match Kernel between Sets of Features for Visual Recognition

Liefeng Bo;Cristian Sminchisescu.
neural information processing systems (2009)

309 Citations

Unsupervised feature learning for 3D scene labeling

Kevin Lai;Liefeng Bo;Dieter Fox.
international conference on robotics and automation (2014)

304 Citations

Object recognition with hierarchical kernel descriptors

Liefeng Bo;Kevin Lai;Xiaofeng Ren;Dieter Fox.
computer vision and pattern recognition (2011)

300 Citations

Twin Gaussian Processes for Structured Prediction

Liefeng Bo;Cristian Sminchisescu.
International Journal of Computer Vision (2010)

300 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 Liefeng Bo

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 105

Maoguo Gong

Maoguo Gong

Xidian University

Publications: 51

Mohammed Bennamoun

Mohammed Bennamoun

University of Western Australia

Publications: 36

Fuchun Sun

Fuchun Sun

Tsinghua University

Publications: 32

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 25

Ashutosh Saxena

Ashutosh Saxena

Cornell University

Publications: 25

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 24

Trevor Darrell

Trevor Darrell

University of California, Berkeley

Publications: 22

Cristian Sminchisescu

Cristian Sminchisescu

Google (United States)

Publications: 21

Ahmed Elgammal

Ahmed Elgammal

Rutgers, The State University of New Jersey

Publications: 21

Leonid Sigal

Leonid Sigal

University of British Columbia

Publications: 20

Silvio Savarese

Silvio Savarese

Stanford University

Publications: 19

Chunhua Shen

Chunhua Shen

University of Adelaide

Publications: 18

Barbara Caputo

Barbara Caputo

Polytechnic University of Turin

Publications: 18

Dieter Fox

Dieter Fox

University of Washington

Publications: 17

Something went wrong. Please try again later.