H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 32 Citations 4,410 55 World Ranking 7497 National Ranking 700

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His main research concerns Artificial intelligence, Pattern recognition, Segmentation, Pixel and Convolutional neural network. His research related to Parsing and Point cloud might be considered part of Artificial intelligence. Peng Wang has included themes like Pascal and Benchmark in his Pattern recognition study.

Peng Wang specializes in Segmentation, namely Image segmentation. His Pixel study is concerned with the larger field of Computer vision. His Convolutional neural network study incorporates themes from Inference and Conditional random field.

His most cited work include:

  • Towards unified depth and semantic prediction from a single image (337 citations)
  • The ApolloScape Dataset for Autonomous Driving (232 citations)
  • MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features (180 citations)

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

His primary areas of investigation include Artificial intelligence, Pixel, Pattern recognition, Computer vision and Segmentation. Convolutional neural network, Object, Image, Image segmentation and Pascal are the primary areas of interest in his Artificial intelligence study. His Pixel study combines topics in areas such as Depth map, Embedding, Geometry, Normal and Algorithm.

Peng Wang interconnects Inference and Parsing in the investigation of issues within Pattern recognition. His work in Computer vision addresses subjects such as Deep learning, which are connected to disciplines such as Variation. His studies in Segmentation integrate themes in fields like Optical flow, Pose, Robustness and Conditional random field.

He most often published in these fields:

  • Artificial intelligence (84.21%)
  • Pixel (46.05%)
  • Pattern recognition (44.74%)

What were the highlights of his more recent work (between 2018-2020)?

  • Artificial intelligence (84.21%)
  • Pixel (46.05%)
  • Computer vision (44.74%)

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

Peng Wang focuses on Artificial intelligence, Pixel, Computer vision, Depth map and Convolutional neural network. His biological study spans a wide range of topics, including Algorithm and Kernel. His Computer vision research is multidisciplinary, relying on both Translation and Benchmark.

Peng Wang has researched Depth map in several fields, including Single image and Pattern recognition. His work carried out in the field of Convolutional neural network brings together such families of science as Feature learning and Feature. His Segmentation research includes elements of Optical flow and Point cloud.

Between 2018 and 2020, his most popular works were:

  • The ApolloScape Open Dataset for Autonomous Driving and Its Application (116 citations)
  • UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos (68 citations)
  • ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving (43 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Pixel, Convolutional neural network, Computer vision and Segmentation. Particularly relevant to Image segmentation is his body of work in Artificial intelligence. His Pixel research incorporates themes from Depth map, Algorithm and Pyramid.

His Convolutional neural network research integrates issues from Translation, Rotation and Benchmark. In general Computer vision, his work in Optical flow and Motion is often linked to Scale and Animation linking many areas of study. His work deals with themes such as Point cloud and Sensor fusion, which intersect with Segmentation.

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

Towards unified depth and semantic prediction from a single image

Peng Wang;Xiaohui Shen;Zhe Lin;Scott Cohen.
computer vision and pattern recognition (2015)

391 Citations

The ApolloScape Dataset for Autonomous Driving

Xinyu Huang;Xinjing Cheng;Qichuan Geng;Binbin Cao.
(2018)

256 Citations

Semantic Instance Segmentation via Deep Metric Learning

Alireza Fathi;Zbigniew Wojna;Vivek Rathod;Peng Wang.
arXiv: Computer Vision and Pattern Recognition (2017)

242 Citations

MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features

Liang-Chieh Chen;Alexander Hermans;George Papandreou;Florian Schroff.
computer vision and pattern recognition (2018)

190 Citations

Occlusion Aware Unsupervised Learning of Optical Flow

Yang Wang;Yi Yang;Zhenheng Yang;Liang Zhao.
computer vision and pattern recognition (2018)

159 Citations

Structure-Sensitive Superpixels via Geodesic Distance

Peng Wang;Gang Zeng;Rui Gan;Jingdong Wang.
International Journal of Computer Vision (2013)

148 Citations

Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

Xinjing Cheng;Peng Wang;Ruigang Yang.
european conference on computer vision (2018)

140 Citations

The ApolloScape Open Dataset for Autonomous Driving and Its Application

Xinyu Huang;Peng Wang;Xinjing Cheng;Dingfu Zhou.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)

135 Citations

Joint Multi-person Pose Estimation and Semantic Part Segmentation

Fangting Xia;Peng Wang;Xianjie Chen;Alan L. Yuille.
computer vision and pattern recognition (2017)

129 Citations

Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net

Fangting Xia;Peng Wang;Liang-Chieh Chen;Alan L. Yuille.
european conference on computer vision (2016)

121 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.

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Contact us

Top Scientists Citing Peng Wang

Alan L. Yuille

Alan L. Yuille

Johns Hopkins University

Publications: 32

Luc Van Gool

Luc Van Gool

ETH Zurich

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Xiaohui Shen

Xiaohui Shen

ByteDance

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Liang Lin

Liang Lin

Sun Yat-sen University

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Ruigang Yang

Ruigang Yang

Baidu (China)

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Chunhua Shen

Chunhua Shen

University of Adelaide

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Nicu Sebe

Nicu Sebe

University of Trento

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Xiaodan Liang

Xiaodan Liang

Sun Yat-sen University

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Raquel Urtasun

Raquel Urtasun

University of Toronto

Publications: 19

Shuicheng Yan

Shuicheng Yan

National University of Singapore

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Jiashi Feng

Jiashi Feng

National University of Singapore

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Zhe Lin

Zhe Lin

Adobe Systems (United States)

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Yuchao Dai

Yuchao Dai

Northwestern Polytechnical University

Publications: 18

Jianfei Cai

Jianfei Cai

Monash University

Publications: 16

Jingdong Wang

Jingdong Wang

Microsoft (United States)

Publications: 16

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