Transitional adaptation of pretrained models for visual storytelling

Y Yu, J Chung, H Yun, J Kim… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Previous models for vision-to-language generation tasks usually pretrain a visual encoder
and a language generator in the respective domains and jointly finetune them with the target …

Hierarchical semantic-aware neural code representation

Y Jiang, X Su, C Treude, T Wang - Journal of Systems and Software, 2022 - Elsevier
Code representation is a fundamental problem in many software engineering tasks. Despite
the effort made by many researchers, it is still hard for existing methods to fully extract …

Multi-modal generative deepfake detection via visual-language pretraining with gate fusion for cognitive computation

G Zhang, M Gao, Q Li, W Zhai, G Jeon - Cognitive Computation, 2024 - Springer
With the widespread adoption of deep learning, there has been a notable increase in the
prevalence of multimodal deepfake content. These deepfakes pose a substantial risk to both …

Evaluation of methods for protein representation learning: a quantitative analysis

S Unsal, H Ataş, M Albayrak, K Turhan, AC Acar… - bioRxiv, 2020 - biorxiv.org
Data-centric approaches have been utilized to develop predictive methods for elucidating
uncharacterized aspects of proteins such as their functions, biophysical properties …

Fastformer: transformer-based fast reasoning framework

W Zhu, L Guo, T Zhang, F Han, Y Wei… - … on Graphics and …, 2023 - spiedigitallibrary.org
Video action recognition is a vital task in the field of computer vision. A great deal of
redundant information is generated along with original video data in the process of depth …

[PDF][PDF] The Journal of Systems & Software

Y Jiang, X Su, C Treude, T Wang - 2022 - ctreude.ca
abstract Code representation is a fundamental problem in many software engineering tasks.
Despite the effort made by many researchers, it is still hard for existing methods to fully …