8 citations · 13 across the 5 of their papers we have counts for
5 papers
DocMMIR: A Framework for Document Multi-modal Information Retrieval
Zirui Li, Siwei Wu, Yizhi Li +3
The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, ex…
SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities
Pengbo Hu, Xingyu Li, Yi Zhou
As deep learning advances, there is an ever-growing demand for models capable of synthesizing information from multi-modal resources to address the complex tasks raised from real-l…
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
Kaiyuan Liu, Xingyu Li, Yurui Lai +6
Despite its great success, deep learning severely suffers from robustness; that is, deep neural networks are very vulnerable to adversarial attacks, even the simplest ones. Inspire…
Multimodal Learning for Hateful Memes Detection
Yi Zhou, Zhenhao Chen
Memes are used for spreading ideas through social networks. Although most memes are created for humor, some memes become hateful under the combination of pictures and text. Automat…
UNISON: Unpaired Cross-lingual Image Captioning
Jiahui Gao, Yi Zhou, Philip L. H. Yu +2
Image captioning has emerged as an interesting research field in recent years due to its broad application scenarios. The traditional paradigm of image captioning relies on paired…