H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 4,433 197 World Ranking 7500 National Ranking 703

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer network
  • Computer vision

Artificial intelligence, Real-time computing, Computer vision, Pattern recognition and Image resolution are his primary areas of study. Zongming Guo integrates several fields in his works, including Artificial intelligence and Streak. His Real-time computing study which covers Quality of experience that intersects with Viewport, Panorama, Buffer overflow and Greedy algorithm.

His work carried out in the field of Computer vision brings together such families of science as Visualization and Distortion. In Distortion, he works on issues like Algorithm, which are connected to Graph. His biological study spans a wide range of topics, including Non-local means and Robustness.

His most cited work include:

  • Deep Joint Rain Detection and Removal from a Single Image (314 citations)
  • Efficient Generalized Integer Transform for Reversible Watermarking (156 citations)
  • Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model (125 citations)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Real-time computing. His work is connected to Pixel, Image, Iterative reconstruction, Image resolution and Superresolution, as a part of Artificial intelligence. His work in Computer vision is not limited to one particular discipline; it also encompasses Frame.

His research in Algorithm intersects with topics in Point cloud, Distortion and Graph. His research integrates issues of Image restoration and Feature detection in his study of Pattern recognition. Zongming Guo has researched Real-time computing in several fields, including Computer network, Bandwidth, Network packet, Scalable Video Coding and Video quality.

He most often published in these fields:

  • Artificial intelligence (44.20%)
  • Computer vision (24.28%)
  • Algorithm (23.55%)

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

  • Artificial intelligence (44.20%)
  • Algorithm (23.55%)
  • Image (14.13%)

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

Zongming Guo mostly deals with Artificial intelligence, Algorithm, Image, Computer network and Real-time computing. His Artificial intelligence research includes themes of Natural language processing, Computer vision and Pattern recognition. His work on Feature extraction as part of general Pattern recognition research is frequently linked to Training, bridging the gap between disciplines.

His studies in Algorithm integrate themes in fields like Information hiding and Point cloud. His study looks at the relationship between Image and fields such as Pixel, as well as how they intersect with chemical problems. His Real-time computing study combines topics from a wide range of disciplines, such as Decoding methods, Quality of experience and Bandwidth.

Between 2018 and 2021, his most popular works were:

  • Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks (80 citations)
  • Optimized Skeleton-based Action Recognition via Sparsified Graph Regression (45 citations)
  • D3R-Net: Dynamic Routing Residue Recurrent Network for Video Rain Removal (36 citations)

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

  • Artificial intelligence
  • Computer network
  • Algorithm

Zongming Guo focuses on Artificial intelligence, Image, Pattern recognition, Key and Glyph. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Natural language processing. Zongming Guo interconnects Frame, Compensation and Manifold in the investigation of issues within Computer vision.

His Image research includes elements of Paraphrase, Deep learning and Benchmark. His Pattern recognition study integrates concerns from other disciplines, such as Optical flow, Pixel, Modality and Adaptation. His Pixel research is multidisciplinary, incorporating elements of Variation, Texture and Metric.

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.

Best Publications

Deep Joint Rain Detection and Removal from a Single Image

Wenhan Yang;Robby T. Tan;Jiashi Feng;Jiaying Liu.
computer vision and pattern recognition (2017)

397 Citations

Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model

Mading Li;Jiaying Liu;Wenhan Yang;Xiaoyan Sun.
IEEE Transactions on Image Processing (2018)

220 Citations

Efficient Generalized Integer Transform for Reversible Watermarking

Xiang Wang;Xiaolong Li;Bin Yang;Zongming Guo.
IEEE Signal Processing Letters (2010)

206 Citations

360ProbDASH: Improving QoE of 360 Video Streaming Using Tile-based HTTP Adaptive Streaming

Lan Xie;Zhimin Xu;Yixuan Ban;Xinggong Zhang.
acm multimedia (2017)

156 Citations

Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution

Wenhan Yang;Jiashi Feng;Jianchao Yang;Fang Zhao.
IEEE Transactions on Image Processing (2017)

131 Citations

Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks

Wenhan Yang;Robby T. Tan;Jiashi Feng;Zongming Guo.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)

131 Citations

m DASH: A Markov Decision-Based Rate Adaptation Approach for Dynamic HTTP Streaming

Chao Zhou;Chia-Wen Lin;Zongming Guo.
IEEE Transactions on Multimedia (2016)

126 Citations

Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos

Jiaying Liu;Wenhan Yang;Shuai Yang;Zongming Guo.
computer vision and pattern recognition (2018)

114 Citations

Image Super-Resolution Based on Structure-Modulated Sparse Representation

Yongqin Zhang;Jiaying Liu;Wenhan Yang;Zongming Guo.
IEEE Transactions on Image Processing (2015)

106 Citations

Profiling Skype video calls: Rate control and video quality

Xinggong Zhang;Yang Xu;Hao Hu;Yong Liu.
international conference on computer communications (2012)

106 Citations

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Best Scientists Citing Zongming Guo

Jiaying Liu

Jiaying Liu

Peking University

Publications: 48

Siwei Ma

Siwei Ma

Peking University

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Wen Gao

Wen Gao

Peking University

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Deyu Meng

Deyu Meng

Xi'an Jiaotong University

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Shiqi Wang

Shiqi Wang

City University of Hong Kong

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Sam Kwong

Sam Kwong

City University of Hong Kong

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Zhangyang Wang

Zhangyang Wang

The University of Texas at Austin

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Yuming Fang

Yuming Fang

Jiangxi University of Finance and Economics

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Wei Hu

Wei Hu

Nanjing University

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Junjun Jiang

Junjun Jiang

Harbin Institute of Technology

Publications: 16

Vishal M. Patel

Vishal M. Patel

Johns Hopkins University

Publications: 15

Yao Zhao

Yao Zhao

Beijing Jiaotong University

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Ce Zhu

Ce Zhu

University of Electronic Science and Technology of China

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Bing Zeng

Bing Zeng

University of Electronic Science and Technology of China

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Gene Cheung

Gene Cheung

York University

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Xinbo Gao

Xinbo Gao

Chongqing University of Posts and Telecommunications

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