activity
20182021
most citedIdentifying Object States in Cooking-Related Images

47 citations · 111 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2021

Calorie Aware Automatic Meal Kit Generation from an Image

Ahmad Babaeian Jelodar, Yu Sun

Calorie and nutrition research has attained increased interest in recent years. But, due to the complexity of the problem, literature in this area focuses on a limited subset of in…

cs.CV2019★ 2 cited

Joint Object and State Recognition using Language Knowledge

Ahmad Babaeian Jelodar, Yu Sun

The state of an object is an important piece of knowledge in robotics applications. States and objects are intertwined together, meaning that object information can help recognize…

cs.CV2018★ 5 cited

Fine-Tuning VGG Neural Network For Fine-grained State Recognition of Food Images

Kaoutar Ben Ahmed, Ahmad Babaeian Jelodar

State recognition of food images can be considered as one of the promising applications of object recognition and fine-grained image classification in computer vision. In this pape…

cs.CV2018

Long Activity Video Understanding using Functional Object-Oriented Network

Ahmad Babaeian Jelodar, David Paulius, Yu Sun

Video understanding is one of the most challenging topics in computer vision. In this paper, a four-stage video understanding pipeline is presented to simultaneously recognize all…

cs.CV2018★ 22 cited

Cooking State Recognition from Images Using Inception Architecture

Md Sirajus Salekin, Ahmad Babaeian Jelodar, Rafsanjany Kushol

A kitchen robot properly needs to understand the cooking environment to continue any cooking activities. But object's state detection has not been researched well so far as like ob…

cs.CV2018★ 47 cited

Identifying Object States in Cooking-Related Images

Ahmad Babaeian Jelodar, Md Sirajus Salekin, Yu Sun

Understanding object states is as important as object recognition for robotic task planning and manipulation. To our knowledge, this paper explicitly introduces and addresses the s…