| Dynamic graph learning with content-guided spatial-frequency relation reasoning for deepfake detection Y Wang, K Yu, C Chen, X Hu, S Peng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 93 | 2023 |
| A network-based bioinformatics approach to identify molecular biomarkers for type 2 diabetes that are linked to the progression of neurological diseases MH Rahman, S Peng, X Hu, C Chen, MR Rahman, S Uddin, JMW Quinn, ... International journal of environmental research and public health 17 (3), 1035, 2020 | 67 | 2020 |
| RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search Y Bai, M Cao, D Gao, Z Cao, C Chen, Z Fan, L Nie, M Zhang International Joint Conference on Artificial Intelligence (IJCAI) 2023, 2023 | 61 | 2023 |
| Balanced knowledge distillation for long-tailed learning S Zhang, C Chen, X Hu, S Peng Neurocomputing 527, 36-46, 2023 | 59 | 2023 |
| Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression MH Rahman, HK Rana, S Peng, X Hu, C Chen, JMW Quinn, MA Moni Briefings in Bioinformatics 22 (5), bbaa365, 2021 | 50 | 2021 |
| Unstructured feature decoupling for vehicle re-identification W Qian, H Luo, S Peng, F Wang, C Chen, H Li European Conference on Computer Vision, 336-353, 2022 | 36 | 2022 |
| PCA-SRGAN: Incremental orthogonal projection discrimination for face super-resolution H Dou, C Chen, X Hu, Z Xuan, Z Hu, S Peng Proceedings of the 28th ACM international conference on multimedia, 1891-1899, 2020 | 35 | 2020 |
| Evoq: Mixed precision quantization of dnns via sensitivity guided evolutionary search Y Yuan, C Chen, X Hu, S Peng 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 33 | 2020 |
| Bioinformatics methodologies to identify interactions between type 2 diabetes and neurological comorbidities MH Rahman, S Peng, X Hu, C Chen, S Uddin, JMW Quinn, MA Moni IEEE Access 7, 183948-183970, 2019 | 32 | 2019 |
| Asymmetric CycleGan for unpaired NIR-to-RGB face image translation H Dou, C Chen, X Hu, S Peng ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 30 | 2019 |
| Genetic effect of type 2 diabetes to the progression of neurological diseases MH Rahman, S Peng, C Chen, P Lio’, MA Moni BioRxiv, 480400, 2018 | 27 | 2018 |
| Asymmetric CycleGAN for image-to-image translations with uneven complexities H Dou, C Chen, X Hu, L Jia, S Peng Neurocomputing 415, 114-122, 2020 | 25 | 2020 |
| Snorenet: Detecting snore events from raw sound recordings J Sun, X Hu, Y Zhao, S Sun, C Chen, S Peng 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 19 | 2019 |
| Dense Semantic and Topological Correspondence of 3D Faces without Landmarks Z Fan, X Hu, C Chen, S Peng European Conference on Computer Vision (ECCV) 2018, 2018 | 18 | 2018 |
| From groups to co-traveler sets: Pair matching based person re-identification framework M Cao, C Chen, X Hu, S Peng Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 18 | 2017 |
| Progressive bilateral-context driven model for post-processing person re-identification M Cao, C Chen, H Dou, X Hu, S Peng, A Kuijper IEEE Transactions on Multimedia 23, 1239-1251, 2020 | 14 | 2020 |
| Bicycle chain shape models S Sommer, A Tatu, C Chen, DR Jurgensen, M de Bruijne, M Loog, ... 2009 IEEE Computer Society Conference on Computer Vision and Pattern …, 2009 | 14 | 2009 |
| Label-occurrence-balanced mixup for long-tailed recognition S Zhang, C Chen, X Zhang, S Peng ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 12 | 2022 |
| Amplitude spectrum trend-based feature for excitation location classification from snore sounds J Sun, X Hu, C Chen, S Peng, Y Ma Physiological measurement 41 (8), 085006, 2020 | 12 | 2020 |
| Boosting local shape matching for dense 3D face correspondence Z Fan, X Hu, C Chen, S Peng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 12 | 2019 |
Mads NielsenProfessor of Computer Science, University of CopenhagenPotvrđena adresa e-pošte na diku.edu
