26 citations · 36 across the 6 of their papers we have counts for
6 papers
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model
Yuehao Yin, Huiyan Qi, Bin Zhu +3
Large Multi-modal Models (LMMs) have made impressive progress in many vision-language tasks. Nevertheless, the performance of general LMMs in specific domains is still far from sat…
CgT-GAN: CLIP-guided Text GAN for Image Captioning
Jiarui Yu, Haoran Li, Yanbin Hao +3
The large-scale visual-language pre-trained model, Contrastive Language-Image Pre-training (CLIP), has significantly improved image captioning for scenarios without human-annotated…
Cross-domain Food Image-to-Recipe Retrieval by Weighted Adversarial Learning
Bin Zhu, Chong-Wah Ngo, Jingjing Chen +1
Food image-to-recipe aims to learn an embedded space linking the rich semantics in recipes with the visual content in food image for cross-modal retrieval. The existing research wo…
Eternal solutions in exponential self-similar form for a quasilinear reaction-diffusion equation with critical singular potential
Razvan Gabriel Iagar, Marta Latorre, Ariel Sánchez
We prove existence and uniqueness of self-similar solutions with exponential form to the following quasilinear reaction-diffusion…
Cross-lingual Adaptation for Recipe Retrieval with Mixup
Bin Zhu, Chong-Wah Ngo, Jingjing Chen +1
Cross-modal recipe retrieval has attracted research attention in recent years, thanks to the availability of large-scale paired data for training. Nevertheless, obtaining adequate…
Pyramid Fusion Dark Channel Prior for Single Image Dehazing
Qiyuan Liang, Bin Zhu, Chong-Wah Ngo
In this paper, we propose the pyramid fusion dark channel prior (PF-DCP) for single image dehazing. Based on the well-known Dark Channel Prior (DCP), we introduce an easy yet effec…