Ali Zoljodi

According to our database, Ali Zoljodi authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction.

Ali Asghar Sharifi, Ali Zoljodi, Masoud Daneshtalab

CoRR, 2024

2023

Contrastive Learning for Lane Detection via Cross-Similarity.

Ali Zoljodi, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab

CoRR, 2023

Analysing Robustness of Tiny Deep Neural Networks.

Hamid Mousavi, Ali Zoljodi, Masoud Daneshtalab

Proceedings of the New Trends in Database and Information Systems, 2023

2022

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

Mohammad Loni, Ali Zoljodi, Amin Majd, Byung Hoon Ahn, Masoud Daneshtalab, Mikael Sjödin, Hadi Esmaeilzadeh

IEEE Trans. Syst. Man Cybern. Syst., 2022

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

Ali Zoljodi, Mohammad Loni, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2020

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

Mohammad Loni, Sima Sinaei, Ali Zoljodi, Masoud Daneshtalab, Mikael Sjödin

Microprocess. Microsystems, 2020

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

Mohammad Loni, Ali Zoljodi, Daniel Maier, Amin Majd, Masoud Daneshtalab, Mikael Sjödin, Ben H. H. Juurlink, Reza Akbari

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

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

Mohammad Loni, Ali Zoljodi, Sima Sinaei, Masoud Daneshtalab, Mikael Sjödin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019