Peng Wang
Orcid: 0000-0002-5397-9115Affiliations:
- 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 71 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024
Question-Aware Global-Local Video Understanding Network for Audio-Visual Question Answering.
IEEE Trans. Circuits Syst. Video Technol., May, 2024
Improving Pre-Trained Model-Based Speech Emotion Recognition From a Low-Level Speech Feature Perspective.
IEEE Trans. Multim., 2024
Pattern Recognit., 2024
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation.
CoRR, 2024
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance.
CoRR, 2024
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning.
CoRR, 2024
Improving Interaction Comfort in Authoring Task in AR-HRI through Dynamic Dual-Layer Interaction Adjustment.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Emotion Recognition in HMDs: A Multi-task Approach Using Physiological Signals and Occluded Faces.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Region-Aware Distribution Contrast: A Novel Approach to Multi-task Partially Supervised Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Attribute-Aware Deep Hashing With Self-Consistency for Large-Scale Fine-Grained Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions.
ACM Comput. Surv., 2023
ReCo-Diff: Explore Retinex-Based Condition Strategy in Diffusion Model for Low-Light Image Enhancement.
CoRR, 2023
Recent Advances in Multi-modal 3D Scene Understanding: A Comprehensive Survey and Evaluation.
CoRR, 2023
Teacher Agent: A Non-Knowledge Distillation Method for Rehearsal-based Video Incremental Learning.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Image Process., 2022
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
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
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
IEEE Trans. Ind. Informatics, 2021
Neurocomputing, 2021
Software Engineering for Blockchain Based Software Systems: Foundations, Survey, and Future Directions.
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE Trans. Circuits Syst. Video Technol., 2020
Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network.
Int. J. Comput. Vis., 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
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
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
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
IEEE Trans. Circuits Syst. Video Technol., 2019
Pattern Recognit., 2019
To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions.
CoRR, 2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
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
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
IEEE Trans. Circuits Syst. Video Technol., 2017
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
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
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
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
CoRR, 2015
2014
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014