| Deep clustering via joint convolutional autoencoder embedding and relative entropy minimization K Ghasedi Dizaji, A Herandi, C Deng, W Cai, H Huang Proceedings of the IEEE international conference on computer vision, 5736-5745, 2017 | 652 | 2017 |
| Unsupervised Deep Generative Adversarial Hashing Network K Ghasedi Dizaji, F Zheng, N Sadoughi, Y Yang, C Deng, H Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 136 | 2018 |
| Balanced self-paced learning for generative adversarial clustering network K Ghasedi, X Wang, C Deng, H Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 112 | 2019 |
| Conditional generative adversarial network for gene expression inference X Wang, K Ghasedi Dizaji, H Huang Bioinformatics 34 (17), i603-i611, 2018 | 62 | 2018 |
| Semi-supervised generative adversarial network for gene expression inference K Ghasedi Dizaji, X Wang, H Huang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 53 | 2018 |
| Nerfinvertor: High fidelity nerf-gan inversion for single-shot real image animation Y Yin, K Ghasedi, HT Wu, J Yang, X Tong, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Sentiment analysis via deep hybrid textual-crowd learning model KG Dizaji, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 14 | 2018 |
| Deep large-scale multitask learning network for gene expression inference KG Dizaji, W Chen, H Huang Journal of Computational Biology 28 (5), 485-500, 2021 | 13 | 2021 |
| Robust cumulative crowdsourcing framework using new incentive payment function and joint aggregation model KG Dizaji, H Gao, Y Yang, H Huang, C Deng IEEE Transactions on Neural Networks and Learning Systems 31 (11), 4610-4621, 2020 | 8 | 2020 |
| Expanding the latent space of stylegan for real face editing Y Yu, G Kamran, W HsiangTao, Y Jiaolong, T Xi, F Yun arXiv preprint arXiv:2204.12530, 2022 | 7 | 2022 |
| Reliability-based local features aggregation for image segmentation F Zohrizadeh, M Kheirandishfard, K Ghasedidizaji, F Kamangar Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las …, 2016 | 7 | 2016 |
| Predicting potential propensity of adolescents to drugs via new semi-supervised deep ordinal regression model A Ganjdanesh, K Ghasedi, L Zhan, W Cai, H Huang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 4 | 2020 |
| Joint generative-discriminative aggregation model for multi-option crowd labels KG Dizaji, Y Yang, H Huang Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 4 | 2018 |
| Face pose normalization for identity recognition using 3D information by means of neural networks NS Nourabadi, KG Dizaji, SA Seyyedsalehi The 5th Conference on Information and Knowledge Technology, 432-437, 2013 | 3 | 2013 |
| Watermarking security analysis based on information theory AR Fazli, ME Asli, K Ghasedi, HS ali Zanjankhah 2011 IEEE International Conference on Signal and Image Processing …, 2011 | 3 | 2011 |
| S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing G Wang, T Chen, K Ghasedi, HT Wu, T Ding, C Nuesmeyer, I Zharkov, ... arXiv preprint arXiv:2404.08111, 2024 | | 2024 |
| Efficient Learning Framework for Training Deep Learning Models with Limited Supervision KG Dizaji University of Pittsburgh, 2021 | | 2021 |
| Deep Large-Scale Multi-Task Learning Network for Gene Expression Inference K Ghasedi, W Chen, H Huang The 24th International Conference on Research in Computational Molecular …, 2020 | | 2020 |
| Unsupervised learning of spatial transformations in the absence of temporal continuity B Banerjee, KG Dizaji 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and …, 2014 | | 2014 |
Amirhossein HerandiData scientist, AstrumUVerified email at mavs.uta.edu
