most citedSynthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection

19 citations · 47 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV202419 cited

Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection

Pengfei Zhou, Weiqing Min, Jiajun Song +2

Food computing brings various perspectives to computer vision like vision-based food analysis for nutrition and health. As a fundamental task in food computing, food detection need…

cs.CY202314 cited

From Plate to Production: Artificial Intelligence in Modern Consumer-Driven Food Systems

Weiqing Min, Pengfei Zhou, Leyi Xu +8

Global food systems confront the urgent challenge of supplying sustainable, nutritious diets in the face of escalating demands. The advent of Artificial Intelligence (AI) is bringi…

cs.CV202311 cited

SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection

Pengfei Zhou, Weiqing Min, Yang Zhang +3

Food detection is becoming a fundamental task in food computing that supports various multimedia applications, including food recommendation and dietary monitoring. To deal with re…

cs.CV2023

GridMM: Grid Memory Map for Vision-and-Language Navigation

Zihan Wang, Xiangyang Li, Jiahao Yang +2

Vision-and-language navigation (VLN) enables the agent to navigate to a remote location following the natural language instruction in 3D environments. To represent the previously v…

cs.CV20233 cited

KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation

Xiangyang Li, Zihan Wang, Jiahao Yang +2

Vision-and-language navigation (VLN) is the task to enable an embodied agent to navigate to a remote location following the natural language instruction in real scenes. Most of the…