Welcome to the home page for University of Tehran Computational Audio-Vision Lab.
Our group develops new optimization and machine learning tools and use them in diverse applications primarily with emphasis on machine vision. Among optimization methods, we are particularly interested in manifold optimization.
Reshad Hosseini gave a talk in Amirkabir Artificial Intelligence Summer Summit.
Our paper on Exploiting Generalization in the Subspaces for Faster Model-Based Reinforcement Learning was published in IEEE Transactions on Neural Networks and Learning Systems.
Our paper on Clustering subspace generalization to obtain faster reinforcement learning was published in Evolving Systems.
Alireza Ganjdansh, Peiman Mohseni and Amirali Darbandsari successfully defended their Bachelor projects.
Our paper on Riemannian Optimization for GMM was accepted in Mathematical Programming.
Reshad Hosseini gave a talk in the tutorial session of CiDas Conference. Hadi Asheri and Pourya Habibzadeh organized Pytorch workshop in the conference.
Zahra Habibollahi successfully defended her Bachelor Project. She was awarded best student thesis Award. Congratulation!