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ORCIDPengfei Chen 0003
Person information
- affiliation: Tencent Technology, Shenzhen, China
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Pengfei Chen — disambiguation page
- Pengfei Chen 0001 — Lanzhou University, School of Information Science and Engineering, China
- Pengfei Chen 0002
![[0000-0003-0972-6900]](/https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0972-6900")
— Sun Yat-sen University, School of Data Science and Computer, Guangzhou, China (and 1 more) - Pengfei Chen 0004 — University of Chinese Academy of Sciences, Beijing, China
2020 – today
- 2025
[j15]Yipo Huang, Leida Li, Pengfei Chen, Haoning Wu, Weisi Lin, Guangming Shi:
Multi-Modality Multi-Attribute Contrastive Pre-Training for Image Aesthetics Computing. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 1205-1218 (2025)- [j14]Leida Li, Xiangfei Sheng, Pengfei Chen, Jinjian Wu, Weisheng Dong:
Towards Explainable Image Aesthetics Assessment With Attribute-Oriented Critiques Generation. IEEE Trans. Circuits Syst. Video Technol. 35(2): 1464-1477 (2025) - 2024
- [j13]Quan Yuan, Leida Li, Pengfei Chen:
Aesthetic image cropping meets VLP: Enhancing good while reducing bad. J. Vis. Commun. Image Represent. 105: 104316 (2024) - [j12]Tong Zhu, Leida Li, Pengfei Chen, Jinjian Wu, Yuzhe Yang, Yaqian Li:
Emotion-aware hierarchical interaction network for multimodal image aesthetics assessment. Pattern Recognit. 154: 110584 (2024) - [j11]Tianshu Song, Leida Li, Deqiang Cheng, Pengfei Chen, Jinjian Wu:
Active Learning-Based Sample Selection for Label-Efficient Blind Image Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. 34(7): 5884-5896 (2024) - [j10]Yipo Huang, Leida Li, Pengfei Chen, Jinjian Wu, Yuzhe Yang, Yaqian Li, Guangming Shi:
Coarse-to-Fine Image Aesthetics Assessment With Dynamic Attribute Selection. IEEE Trans. Multim. 26: 9316-9329 (2024) - [c18]Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Radu Timofte, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie Zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao:
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. CVPR Workshops 2024: 6337-6362 - [c17]Zhichao Yang, Leida Li, Pengfei Chen, Jinjian Wu, Weisheng Dong:
Semantics-Aware Image Aesthetics Assessment using Tag Matching and Contrastive Ranking. ACM Multimedia 2024: 2632-2641 - [c16]Yipo Huang, Xiangfei Sheng, Zhichao Yang, Quan Yuan, Zhichao Duan, Pengfei Chen, Leida Li, Weisi Lin, Guangming Shi:
AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception. ACM Multimedia 2024: 5911-5920 - [i13]Yipo Huang, Quan Yuan, Xiangfei Sheng, Zhichao Yang, Haoning Wu, Pengfei Chen, Yuzhe Yang, Leida Li, Weisi Lin:
AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception. CoRR abs/2401.08276 (2024) - [i12]Yipo Huang, Xiangfei Sheng, Zhichao Yang, Quan Yuan, Zhichao Duan, Pengfei Chen, Leida Li, Weisi Lin, Guangming Shi:
AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception. CoRR abs/2404.09624 (2024) - 2023
- [j9]Pengfei Chen, Leida Li, Haoliang Li, Jinjian Wu, Weisheng Dong, Guangming Shi:
Dynamic Expert-Knowledge Ensemble for Generalizable Video Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2577-2589 (2023) - [j8]Leida Li, Tong Zhu, Pengfei Chen, Yuzhe Yang, Yaqian Li, Weisi Lin:
Image Aesthetics Assessment With Attribute-Assisted Multimodal Memory Network. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7413-7424 (2023) - [c15]Tong Zhu, Leida Li, Pengfei Chen, Jinjian Wu, Yuzhe Yang, Yaqian Li, Yandong Guo:
Attribute-assisted Multimodal Network for Image Aesthetics Assessment. ICME 2023: 2477-2482 - [c14]Xiangfei Sheng, Leida Li, Pengfei Chen, Jinjian Wu, Weisheng Dong, Yuzhe Yang, Liwu Xu, Yaqian Li, Guangming Shi:
AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment. ACM Multimedia 2023: 1117-1126 - [c13]Hancheng Zhu, Zhiwen Shao, Yong Zhou, Guangcheng Wang, Pengfei Chen, Leida Li:
Personalized Image Aesthetics Assessment with Attribute-guided Fine-grained Feature Representation. ACM Multimedia 2023: 6794-6802 - [c12]Xiangfei Sheng, Leida Li, Pengfei Chen, Jinjian Wu, Liwu Xu, Yuzhe Yang, Yaqian Li:
Technical Quality-Assisted Image Aesthetics Quality Assessment. PRCV (11) 2023: 50-62 - 2022
- [j7]Pengfei Chen, Leida Li, Qingbo Wu, Jinjian Wu:
SPIQ: A Self-Supervised Pre-Trained Model for Image Quality Assessment. IEEE Signal Process. Lett. 29: 513-517 (2022) - [j6]Tianshu Song, Leida Li, Pengfei Chen, Hantao Liu, Jiansheng Qian:
Blind Image Quality Assessment for Authentic Distortions by Intermediary Enhancement and Iterative Training. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7592-7604 (2022) - [j5]Pengfei Chen, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi:
Contrastive Self-Supervised Pre-Training for Video Quality Assessment. IEEE Trans. Image Process. 31: 458-471 (2022) - [j4]Leida Li, Pengfei Chen, Weisi Lin, Mai Xu, Guangming Shi:
From Whole Video to Frames: Weakly-Supervised Domain Adaptive Continuous-Time QoE Evaluation. IEEE Trans. Image Process. 31: 4937-4951 (2022) - [j3]Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng:
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training. IEEE Trans. Medical Imaging 41(6): 1371-1382 (2022) - [c11]Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. ECCV (24) 2022: 423-440 - [c10]Jiachen Duan, Pengfei Chen, Leida Li, Jinjian Wu, Guangming Shi:
Semantic Attribute Guided Image Aesthetics Assessment. VCIP 2022: 1-5 - [i11]Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. CoRR abs/2203.16219 (2022) - [i10]Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng:
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training. CoRR abs/2205.04723 (2022) - 2021
- [j2]Pengfei Chen, Leida Li, Jinjian Wu, Yabin Zhang, Weisi Lin:
Temporal Reasoning Guided QoE Evaluation for Mobile Live Video Broadcasting. IEEE Trans. Image Process. 30: 3279-3292 (2021) - [c9]Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao:
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI 2021: 9834-9842 - [c8]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. AAAI 2021: 11442-11450 - [c7]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. AAAI 2021: 11451-11461 - [c6]Pengfei Chen, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi:
Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment. ICCV 2021: 5158-5167 - [c5]Pengfei Chen, Guangyong Chen, Junjie Ye, Jingwei Zhao, Pheng-Ann Heng:
Noise against noise: stochastic label noise helps combat inherent label noise. ICLR 2021 - [i9]Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng:
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR abs/2103.02225 (2021) - 2020
- [c4]Pengfei Chen, Leida Li, Lei Ma, Jinjian Wu, Guangming Shi:
RIRNet: Recurrent-In-Recurrent Network for Video Quality Assessment. ACM Multimedia 2020: 834-842 - [i8]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. CoRR abs/2012.04193 (2020) - [i7]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. CoRR abs/2012.05458 (2020)
2010 – 2019
- 2019
- [j1]Pengfei Chen, Leida Li, Xinfeng Zhang, Shanshe Wang, Allen Tan:
Blind quality index for tone-mapped images based on luminance partition. Pattern Recognit. 89: 108-118 (2019) - [c3]Pengfei Chen, Leida Li, Yipo Huang, Fengfeng Tan, Wenjun Chen:
QoE Evaluation for Live Broadcasting Video. ICIP 2019: 454-458 - [c2]Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang:
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. ICML 2019: 1062-1070 - [i6]Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang:
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. CoRR abs/1905.05040 (2019) - [i5]Guangyong Chen, Pengfei Chen, Yujun Shi, Chang-Yu Hsieh, Benben Liao, Shengyu Zhang:
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. CoRR abs/1905.05928 (2019) - [i4]Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang:
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR abs/1905.11100 (2019) - [i3]Pengfei Chen, Weiwen Liu, Chang-Yu Hsieh, Guangyong Chen, Shengyu Zhang:
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization. CoRR abs/1906.05488 (2019) - [i2]Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang:
A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR. CoRR abs/1906.05509 (2019) - [i1]Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard S. Zemel, Shengyu Zhang:
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. CoRR abs/1906.09427 (2019) - 2017
- [c1]Xuemei Xie, Xun Xu, Lihua Ma, Guangming Shi, Pengfei Chen:
On the study of predictors in Single Shot Multibox Detector. ICVIP 2017: 186-191
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