Ali Zoljodi

DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems

Masoud Daneshtalab, Mohammad Loni, Mikael Sjödin, 2020, Microprocess. Microsystems.

FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms

H. Esmaeilzadeh, M. Daneshtalab, Amin Majd, 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection

Mohammad Loni, Mina Alibeigi, M. Daneshtalab, 2022, ICANN.

DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture

Mikael Sjödin, Amin Majd, Reza Akbari, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems

Masoud Daneshtalab, Mohammad Loni, Mikael Sjödin, 2019, ICANN.

Contrastive Learning for Lane Detection via Cross-Similarity

Mina Alibeigi, M. Daneshtalab, Ali Zoljodi, 2023, ArXiv.