activity
20182026
most citedA Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition

19 citations · 30 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Fourier Self-Supervision for Fine-Grained Generalized Category Discovery

Sarah Rastegar, Mina Ghadimi Atigh, Pascal Mettes +2

Generalized Category Discovery aims to recognize known categories while identifying novel ones within unlabeled data. Existing methods, typically based on self-supervision and cont…

cs.CV2025

Continual Hyperbolic Learning of Instances and Classes

Melika Ayoughi, Mina Ghadimi Atigh, Mohammad Mahdi Derakhshani +3

Continual learning has traditionally focused on classifying either instances or classes, but real-world applications, such as robotics and self-driving cars, require models to hand…

cs.CV2022

Hyperbolic Image Segmentation

Mina GhadimiAtigh, Julian Schoep, Erman Acar +2

For image segmentation, the current standard is to perform pixel-level optimization and inference in Euclidean output embedding spaces through linear hyperplanes. In this work, we…

cs.CV2019★ 5 cited

Convolutional Relational Machine for Group Activity Recognition

Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi +1

We present an end-to-end deep Convolutional Neural Network called Convolutional Relational Machine (CRM) for recognizing group activities that utilizes the information in spatial r…

cs.CV2018★ 19 cited

A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition

Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi

In this work, we present a framework based on multi-stream convolutional neural networks (CNNs) for group activity recognition. Streams of CNNs are separately trained on different…

cs.CV2018★ 1 cited

Zoom-RNN: A Novel Method for Person Recognition Using Recurrent Neural Networks

Sina Mokhtarzadeh Azar, Sajjad Azami, Mina Ghadimi Atigh +2

The overwhelming popularity of social media has resulted in bulk amounts of personal photos being uploaded to the internet every day. Since these photos are taken in unconstrained…