19 citations · 30 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
Hyperbolic Busemann Learning with Ideal Prototypes
Mina Ghadimi Atigh, Martin Keller-Ressel, Pascal Mettes
Hyperbolic space has become a popular choice of manifold for representation learning of various datatypes from tree-like structures and text to graphs. Building on the success of d…
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…
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…
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…