Peng Wang

Orcid: 0000-0002-5397-9115

Affiliations:
  • University of Electronic Science and Technology of China, China
  • University of Wollongong, School of Computing and Information Technology, Australia (former)
  • University of Adelaide, Australia Institute of Machine Learning, Australia (former)
  • The University of Queensland, School of Information Technology and Electrical Engineering, St. Lucia, QLD, Australia (PhD 2017)
  • Beijing Jiaotong University, School of Electronic and Information Engineering, China (former)


According to our database1, Peng Wang authored at least 55 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Attribute-Aware Deep Hashing With Self-Consistency for Large-Scale Fine-Grained Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Learning Graph Convolutional Networks for Multi-Label Recognition and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions.
ACM Comput. Surv., 2023

Delving Deep into Simplicity Bias for Long-Tailed Image Recognition.
CoRR, 2023

Revisiting Prototypical Network for Cross Domain Few-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Glocal Energy-based Learning for Few-Shot Open-Set Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Continual Referring Expression Comprehension via Dual Modular Memorization.
IEEE Trans. Image Process., 2022

Relation Regularized Scene Graph Generation.
IEEE Trans. Cybern., 2022

Anisotropic Convolutional Neural Networks for RGB-D Based Semantic Scene Completion.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Improving performance and efficiency of Graph Neural Networks by injective aggregation.
Knowl. Based Syst., 2022

Industrial IoT Intrusion Detection via Evolutionary Cost-Sensitive Learning and Fog Computing.
IEEE Internet Things J., 2022

HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation.
CoRR, 2022

RPC: a large-scale and fine-grained retail product checkout dataset.
Sci. China Inf. Sci., 2022

A privacy-aware data sharing framework for Internet of Things through edge computing platform.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

HOP: History-and-Order Aware Pretraining for Vision-and-Language Navigation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
D3D: Dual 3-D Convolutional Network for Real-Time Action Recognition.
IEEE Trans. Ind. Informatics, 2021

Exploring the auxiliary learning for long-tailed visual recognition.
Neurocomputing, 2021

Software Engineering for Blockchain Based Software Systems: Foundations, Survey, and Future Directions.
CoRR, 2021

CAT: Cross-Attention Transformer for One-Shot Object Detection.
CoRR, 2021

Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification.
CoRR, 2021

Inter-Modality Fusion Based Attention for Zero-Shot Cross-Modal Retrieval.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Towards Effective Deep Embedding for Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020

Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network.
Int. J. Comput. Vis., 2020

Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks.
CoRR, 2020

Semi-supervised Crowd Counting via Self-training on Surrogate Tasks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Anisotropic Convolutional Networks for 3D Semantic Scene Completion.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Pixel-Aware Deep Function-Mixture Network for Spectral Super-Resolution.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples.
IEEE Trans. Image Process., 2019

Unsupervised Domain Adaptation Using Robust Class-Wise Matching.
IEEE Trans. Circuits Syst. Video Technol., 2019

Order-aware convolutional pooling for video based action recognition.
Pattern Recognit., 2019

To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions.
CoRR, 2019

RPC: A Large-Scale Retail Product Checkout Dataset.
CoRR, 2019

A separation-aggregation network for image denoising.
Appl. Soft Comput., 2019

Adaptive Multi-Path Aggregation for Human DensePose Estimation in the Wild.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Multi-Label Image Recognition With Graph Convolutional Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length.
IEEE Trans. Multim., 2018

Visual Question Answering With Memory-Augmented Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Local visual pattern modelling for image and video classification
PhD thesis, 2017

Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2017

Compositional Model Based Fisher Vector Coding for Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Multi-attention Network for One Shot Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Web Video Event Recognition by Semantic Analysis From Ubiquitous Documents.
IEEE Trans. Image Process., 2016

Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution.
CoRR, 2016

Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps.
CoRR, 2016

Quartet-net Learning for Visual Instance Retrieval.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

What's Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition.
CoRR, 2015

2014
WeMash: An Online System for Web Video Mashup.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014


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