Pengfei Chen

Orcid: 0000-0002-0509-3782

Affiliations:
  • Tencent Technology, Shenzhen, China
  • Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong


According to our database1, Pengfei Chen authored at least 38 papers between 2017 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Multi-Modality Multi-Attribute Contrastive Pre-Training for Image Aesthetics Computing.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

2024
Coarse-to-Fine Image Aesthetics Assessment With Dynamic Attribute Selection.
IEEE Trans. Multim., 2024

Active Learning-Based Sample Selection for Label-Efficient Blind Image Quality Assessment.
IEEE Trans. Circuits Syst. Video Technol., 2024

Emotion-aware hierarchical interaction network for multimodal image aesthetics assessment.
Pattern Recognit., 2024

Aesthetic image cropping meets VLP: Enhancing good while reducing bad.
J. Vis. Commun. Image Represent., 2024

AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception.
CoRR, 2024

AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Semantics-Aware Image Aesthetics Assessment using Tag Matching and Contrastive Ranking.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Image Aesthetics Assessment With Attribute-Assisted Multimodal Memory Network.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Dynamic Expert-Knowledge Ensemble for Generalizable Video Quality Assessment.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

Technical Quality-Assisted Image Aesthetics Quality Assessment.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Personalized Image Aesthetics Assessment with Attribute-guided Fine-grained Feature Representation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Attribute-assisted Multimodal Network for Image Aesthetics Assessment.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training.
IEEE Trans. Medical Imaging, 2022

From Whole Video to Frames: Weakly-Supervised Domain Adaptive Continuous-Time QoE Evaluation.
IEEE Trans. Image Process., 2022

Contrastive Self-Supervised Pre-Training for Video Quality Assessment.
IEEE Trans. Image Process., 2022

Blind Image Quality Assessment for Authentic Distortions by Intermediary Enhancement and Iterative Training.
IEEE Trans. Circuits Syst. Video Technol., 2022

SPIQ: A Self-Supervised Pre-Trained Model for Image Quality Assessment.
IEEE Signal Process. Lett., 2022

Semantic Attribute Guided Image Aesthetics Assessment.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Acknowledging the Unknown for Multi-label Learning with Single Positive Labels.
Proceedings of the Computer Vision, 2022

2021
Temporal Reasoning Guided QoE Evaluation for Mobile Live Video Broadcasting.
IEEE Trans. Image Process., 2021

Noise against noise: stochastic label noise helps combat inherent label noise.
Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
RIRNet: Recurrent-In-Recurrent Network for Video Quality Assessment.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Blind quality index for tone-mapped images based on luminance partition.
Pattern Recognit., 2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models.
CoRR, 2019

A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR.
CoRR, 2019

Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization.
CoRR, 2019

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction.
CoRR, 2019

Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks.
CoRR, 2019

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels.
Proceedings of the 36th International Conference on Machine Learning, 2019

QoE Evaluation for Live Broadcasting Video.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2017
On the study of predictors in Single Shot Multibox Detector.
Proceedings of the International Conference on Video and Image Processing, 2017


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