2 citations · 2 across the 1 of their papers we have counts for
6 papers
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…
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…
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…
Functional Object-Oriented Network: Construction & Expansion
David Paulius, Ahmad Babaeian Jelodar, Yu Sun
We build upon the functional object-oriented network (FOON), a structured knowledge representation which is constructed from observations of human activities and manipulations. A F…
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…
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…