Mina Alibeigi

According to our database, Mina Alibeigi authored at least 17 papers between 2012 and 2024.

Collaborative distances:

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

2024

Contrastive Learning for Lane Detection via cross-similarity.

Ali Zoljodi, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab

Pattern Recognit. Lett., 2024

FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients.

Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane

CoRR, 2024

PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection.

Sima Sinaei, Mohammadreza Mohammadi, Rakesh Shrestha, Mina Alibeigi, David Eklund

Proceedings of the 27th Euromicro Conference on Digital System Design, 2024

Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer.

Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

DASS: Differentiable Architecture Search for Sparse Neural Networks.

Hamid Mousavi, Mohammad Loni, Mina Alibeigi, Masoud Daneshtalab

ACM Trans. Embed. Comput. Syst., October, 2023

Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps.

Yadong Mao, Zhuqi Xiao, Che-Tsung Lin, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Christopher Zach, Mina Alibeigi

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

FedVal: Different good or different bad in federated learning.

Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi

Proceedings of the 32nd USENIX Security Symposium, 2023

L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning.

Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving.

Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

PR-DARTS: Pruning-Based Differentiable Architecture Search.

Hamid Mousavi, Mohammad Loni, Mina Alibeigi, Masoud Daneshtalab

CoRR, 2022

Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty.

Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

CoRR, 2022

SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning.

Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

Proceedings of the Uncertainty in Artificial Intelligence, 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

2017

A Fast, Robust, and Incremental Model for Learning High-Level Concepts From Human Motions by Imitation.

Mina Alibeigi, Majid Nili Ahmadabadi, Babak Nadjar Araabi

IEEE Trans. Robotics, 2017

Inverse Kinematics Based Human Mimicking System using Skeletal Tracking Technology.

Mina Alibeigi, Sadegh Rabiee, Majid Nili Ahmadabadi

J. Intell. Robotic Syst., 2017

Incremental learning of high-level concepts by imitation.

Mina Alibeigi, Majid Nili Ahmadabadi, Babak Nadjar Araabi

CoRR, 2017

2012

DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets.

Mina Alibeigi, Sattar Hashemi, Ali Hamzeh

Data Knowl. Eng., 2012