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Julius Wang
Julius Wang
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Title
Cited by
Cited by
Year
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
332020
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
82017
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
62022
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
42022
Post-Attention Modulator for Dense Video Captioning
Z Guo, TJJ Wang, J Laaksonen
2022 26th International Conference on Pattern Recognition (ICPR), 1536-1542, 2022
22022
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
22019
PiTL
Z Guo, TJJ Wang, S Pehlivan, A Radman, J Laaksonen
International ACM SIGIR Conference on Research and Development in …, 2023
2023
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
2023
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
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Articles 1–11