19 citations · 24 across the 4 of their papers we have counts for
6 papers
Sequence-Adaptive Video Prediction in Continuous Streams using Diffusion Noise Optimization
Sina Mokhtarzadeh Azar, Emad Bahrami, Enrico Pallotta +3
In this work, we investigate diffusion-based video prediction models, which forecast future video frames, for continuous video streams. In this context, the models observe continuo…
EgoControl: Controllable Egocentric Video Generation via 3D Full-Body Poses
Enrico Pallotta, Sina Mokhtarzadeh Azar, Lars Doorenbos +3
Egocentric video generation with fine-grained control through body motion is a key requirement towards embodied AI agents that can simulate, predict, and plan actions. In this work…
CamC2V: Context-aware Controllable Video Generation
Luis Denninger, Sina Mokhtarzadeh Azar, Juergen Gall
Recently, image-to-video (I2V) diffusion models have demonstrated impressive scene understanding and generative quality, incorporating image conditions to guide generation. However…
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…