| Tackling the unannotated: Scene graph generation with bias-reduced models TJJ Wang, S Pehlivan, J Laaksonen The 31st British Machine Vision Virtual Conference (BMVC'20), 2020 | 38 | 2020 |
| CLIP4IDC: CLIP for Image Difference Captioning Z Guo, TJJ Wang, J Laaksonen The 2nd Conference of the Asia-Pacific Chapter of the Association for …, 2022 | 27 | 2022 |
| Fixation prediction in videos using unsupervised hierarchical features J Wang, HR Tavakoli, J Laaksonen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 9 | 2017 |
| Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision TJJ Wang, J Laaksonen, T Langer, H Arponen, TE Bishop IEEE/CVF Winter Conference on Applications of Computer Vision (WACV'23), 2022 | 5 | 2022 |
| Post-attention modulator for dense video captioning Z Guo, TJJ Wang, J Laaksonen 2022 26th International Conference on Pattern Recognition (ICPR), 1536-1542, 2022 | 3 | 2022 |
| PiTL: cross-modal retrieval with weakly-supervised vision-language pre-training via prompting Z Guo, TJJ Wang, S Pehlivan, A Radman, J Laaksonen Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 2 | 2023 |
| Geometry-aware Relational Exemplar Attention for Dense Captioning TJJ Wang, HR Tavakoli, M Sjöberg, JT Laaksonen 1st International Workshop on Multimodal Understanding and Learning for …, 2019 | 2 | 2019 |
| A Multi-Task Bayesian Deep Neural Net for Detecting Life-Threatening Infant Incidents From Head Images SYS Tzu-Jui Julius Wang, Jorma Laaksonen, Yi-Ping Liao, Bo-Zong Wu 2019 IEEE International Conference on Image Processing (ICIP), 2019 | | 2019 |
| Multiple Object Tracking with Correlation Filters and Deep Features TJ Wang M.Sc. Thesis, 2018 | | 2018 |
| Supplementary Material Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision TJJ Wang, J Laaksonen, T Langer, H Arponen, TE Bishop | | |
Hamed Rezazadegan TavakoliDepartment of Computer Science, Aalto UniversityEmail confirmado em aalto.fi