activity
20232026
most citedGenerative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions

1 citations · 2 across the 29 of their papers we have counts for

collaborators

29 papers

cs.SI2026

GTIN: A Unified Framework for Joint Event and Time Prediction in Temporal Graphs

Mohammad Ostadmohammadi, Sepehr Kazemi, Hamid R. Rabiee

Temporal graphs are increasingly used to model dynamic systems in diverse domains such as social networks, financial networks, and traffic networks. Predicting both what the next e…

eess.SY2026

Using Non-Lipschitz Signum-based Functions for Distributed Optimization and Machine Learning: Trade-off Between Con-vergence Rate and Optimality Gap

Mohammadreza Doostmohammadian, Amir Ahmad Ghods, Alireza Aghasi +2

In recent years, the prevalence of large-scale data-sets and the demand for sophisti-cated learning models have necessitated the development of efficient distributed ma-chine learn…

cs.CV2026

MonoVoc: Decoupling Geometry and Semantics for Lightweight Monocular Open-Vocabulary 3D Gaussians

Pouya Ardekhani, Zahra Dehghanian, Morteza Abolghasemi +1

Open vocabulary 3D scene understanding is essential for next-generation interactive systems, empowering users to intuitively query and navigate reconstructed environments using nat…

cs.MM2026

Teacher-Student Structure for Domain Adaptation in Ensemble Audio-Visual Video Deepfake Detection

Elham Abolhasani, Maryam Ramezani, Hamid R. Rabiee

The rapid advancement of generative AI models is leading to more realistic deepfake media, encompassing the manipulation of audio, video, or both. This raises severe privacy and so…

eess.SY2026

Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems

Mohammadreza Doostmohammadian, Hamid R. Rabiee

Decentralized strategies are of interest for local decision-making over multi-vehicle networks. This paper studies mixed traffic networks of human-driven and autonomous vehicles wi…

eess.IV2026

3DLAND: 3D Lesion Abdominal Anomaly Localization Dataset

Mehran Advand, Zahra Dehghanian, Navid Faraji +3

Existing medical imaging datasets for abdominal CT often lack three-dimensional annotations, multi-organ coverage, or precise lesion-to-organ associations, hindering robust represe…