World's Best Scientists 2026 revealed!
Wenguan Wang

Wenguan Wang

Award Badge
Rising Stars
2025
Award Badge
Computer Science
Australia
2025

D-Index & Metrics

Rising Stars

D-Index
70
Citations
17240
World Ranking
79
National Ranking
4

Computer Science

D-Index
73
Citations
20450
World Ranking
1597
National Ranking
213

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2025 - Research.com Rising Stars Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Wenguan Wang is affiliated with the University of Technology Sydney in Australia. Their primary research domain is computer science, with a specialized focus on computer vision and pattern recognition. Wang's work spans several interconnected subfields including artificial intelligence, computational mechanics, environmental engineering, and geology.

The scientist has contributed extensively to the study and application of multimodal machine learning, advanced neural networks, domain adaptation, and few-shot learning. Key research topics in their portfolio also include advanced image and video retrieval techniques, human pose and action recognition, visual attention and saliency detection, as well as video surveillance and tracking methods.

Their recent publications indicate a concentration on semantic segmentation and object detection using deep learning approaches. Notable papers include:

  • Salient Object Detection in the Deep Learning Era: An In-Depth Survey (2021), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Exploring Cross-Image Pixel Contrast for Semantic Segmentation (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent collaborators with Wang include Yi Yang, Tianfei Zhou, Luc Van Gool, Liulei Li, and Jianbing Shen.

Their research outputs are often published in leading venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Lirias (KU Leuven)
  • Repository for Publications and Research Data (ETH Zurich)

Wang's scholarly contributions are documented in over 300 publications, with a dominant presence in computer vision and pattern recognition comprising over two hundred entries. Their work is grounded in both theoretical and practical aspects of advanced neural networks and multimodal integration techniques.

Best Publications

  • Salient Object Detection in the Deep Learning Era: An In-depth Survey.

    Wenguan Wang;Qiuxia Lai;Huazhu Fu;Jianbing Shen

  • Deep Visual Attention Prediction

    Wenguan Wang;Jianbing Shen

  • Salient Object Detection in the Deep Learning Era: An In-Depth Survey

    Wenguan Wang;Qiuxia Lai;Huazhu Fu;Jianbing Shen

  • Video Salient Object Detection via Fully Convolutional Networks

    Wenguan Wang;Jianbing Shen;Ling Shao

  • Saliency-aware geodesic video object segmentation

    Wenguan Wang;Jianbing Shen;Fatih Porikli

  • Learning Human-Object Interactions by Graph Parsing Neural Networks

    Siyuan Qi;Wenguan Wang;Baoxiong Jia;Jianbing Shen

  • Salient Object Detection With Pyramid Attention and Salient Edges

    Wenguan Wang;Shuyang Zhao;Jianbing Shen;Steven C. H. Hoi

  • See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks

    Xiankai Lu;Wenguan Wang;Chao Ma;Jianbing Shen

  • Exploring Cross-Image Pixel Contrast for Semantic Segmentation

    Wenguan Wang;Tianfei Zhou;Fisher Yu;Jifeng Dai

  • Exploring Cross-Image Pixel Contrast for Semantic Segmentation

    Wenguan Wang;Tianfei Zhou;Fisher Yu;Jifeng Dai

  • Shifting More Attention to Video Salient Object Detection

    Deng-Ping Fan;Wenguan Wang;Ming-Ming Cheng;Jianbing Shen

  • Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection

    Hongmei Song;Wenguan Wang;Sanyuan Zhao;Jianbing Shen

  • Saliency-Aware Video Object Segmentation

    Wenguan Wang;Jianbing Shen;Ruigang Yang;Fatih Porikli

  • Rethinking Semantic Segmentation: A Prototype View

    Unknown

  • Consistent Video Saliency Using Local Gradient Flow Optimization and Global Refinement

    Wenguan Wang;Jianbing Shen;Ling Shao

  • Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm

    Jianbing Shen;Xiaopeng Hao;Zhiyuan Liang;Yu Liu

  • Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation

    Hao-Shu Fang;Yuanlu Xu;Wenguan Wang;Xiaobai Liu

  • Lazy Random Walks for Superpixel Segmentation

    Jianbing Shen;Yunfan Du;Wenguan Wang;Xuelong Li

  • Poly Kernel Inception Network for Remote Sensing Detection

    Unknown

  • A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping

    Wenguan Wang;Jianbing Shen;Haibin Ling

  • Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

    Guolei Sun;Wenguan Wang;Jifeng Dai;Jifeng Dai;Luc Van Gool

  • Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

    Wenguan Wang;Xiankai Lu;Jianbing Shen;David Crandall

  • Occlusion-Aware Real-Time Object Tracking

    Xingping Dong;Jianbing Shen;Dajiang Yu;Wenguan Wang

  • Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification

    Wenguan Wang;Yuanlu Xu;Jianbing Shen;Song-Chun Zhu

Frequent Co-Authors

Jianbing Shen
Jianbing Shen University of Macau
Ling Shao
Ling Shao Terminus International
Song-Chun Zhu
Song-Chun Zhu Peking University
Fatih Porikli
Fatih Porikli Australian National University
Haibin Ling
Haibin Ling Westlake University
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Ruigang Yang
Ruigang Yang University of Kentucky
Ming-Ming Cheng
Ming-Ming Cheng Nankai University
Ali Borji
Ali Borji Quintic AI
Steven C. H. Hoi
Steven C. H. Hoi Alibaba Group (China)

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