50 citations · 199 across the 38 of their papers we have counts for
4 papers · 1 filter
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…
Incremental Learning on Food Instance Segmentation
Huu-Thanh Nguyen, Yu Cao, Chong-Wah Ngo +1
Food instance segmentation is essential to estimate the serving size of dishes in a food image. The recent cutting-edge techniques for instance segmentation are deep learning netwo…
GroundNLQ @ Ego4D Natural Language Queries Challenge 2023
Zhijian Hou, Lei Ji, Difei Gao +7
In this report, we present our champion solution for Ego4D Natural Language Queries (NLQ) Challenge in CVPR 2023. Essentially, to accurately ground in a video, an effective egocent…
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…