activity
20172022
most citedA Correlation Based Feature Representation for First-Person Activity Recognition

9 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2022

A hybrid entity-centric approach to Persian pronoun resolution

Hassan Haji Mohammadi, Alireza Talebpour, Ahmad Mahmoudi Aznaveh +1

Pronoun resolution is a challenging subset of an essential field in natural language processing called coreference resolution. Coreference resolution is about finding all entities…

cs.CL2022

Review of coreference resolution in English and Persian

Hassan Haji Mohammadi, Alireza Talebpour, Ahmad Mahmoudi Aznaveh +1

Coreference resolution (CR), identifying expressions referring to the same real-world entity, is a fundamental challenge in natural language processing (NLP). This paper explores t…

q-bio.NC2021

The Neural Correlates of Image Texture in the Human Vision Using Magnetoencephalography

Elaheh Hatamimajoumerd, Alireza Talebpour

Undoubtedly, textural property of an image is one of the most important features in object recognition task in both human and computer vision applications. Here, we investigated th…

cs.CV2019

The effect of scene context on weakly supervised semantic segmentation

Mohammad Kamalzare, Reza Kahani, Alireza Talebpour +1

Image semantic segmentation is parsing image into several partitions in such a way that each region of which involves a semantic concept. In a weakly supervised manner, since only…

cs.CV2017★ 9 cited

A Correlation Based Feature Representation for First-Person Activity Recognition

Reza Kahani, Alireza Talebpour, Ahmad Mahmoudi-Aznaveh

In this paper, a simple yet efficient activity recognition method for first-person video is introduced. The proposed method is appropriate for representation of high-dimensional fe…