Mina Alibeigi

24 papers A* 3A 2C 2Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 C conf
Communication-Efficient Federated Learning Framework for Autonomous Vehicles.
ICCE
Sima Sinaei, Mohammadreza Mohammadi, Mina Alibeigi
2024 J jnl
Contrastive Learning for Lane Detection via cross-similarity.
Pattern Recognit. Lett.
Ali Zoljodi, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab
2024 J jnl
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients.
CoRR
Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane
2024 C conf
PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection.
DSD
Sima Sinaei, Mohammadreza Mohammadi, Rakesh Shrestha, Mina Alibeigi, David Eklund
2024 A conf
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer.
AAMAS
Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2023 J jnl
Contrastive Learning for Lane Detection via Cross-Similarity.
CoRR
Ali Zoljodi, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab
2023 J jnl
DASS: Differentiable Architecture Search for Sparse Neural Networks.
ACM Trans. Embed. Comput. Syst.
Hamid Mousavi, Mohammad Loni, Mina Alibeigi, Masoud Daneshtalab
2023 — conf
Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps.
VTC2023-Spring
Yadong Mao, Zhuqi Xiao, Che-Tsung Lin, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Christopher Zach, Mina Alibeigi
2023 A* conf
FedVal: Different good or different bad in federated learning.
USENIX Security Symposium
Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
2023 J jnl
FedVal: Different good or different bad in federated learning.
CoRR
Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
2023 A* conf
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning.
ICCV
Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
2023 J jnl
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning.
CoRR
Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
2023 J jnl
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer.
CoRR
Hannes Eriksson, Debabrota Basu, Tommy Tram, Mina Alibeigi, Christos Dimitrakakis
2023 A* conf
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving.
ICCV
Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson
2023 J jnl
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving.
CoRR
Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson
2022 — conf
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection.
ICANN (1)
Ali Zoljodi, Mohammad Loni, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab
2022 J jnl
PR-DARTS: Pruning-Based Differentiable Architecture Search.
CoRR
Hamid Mousavi, Mohammad Loni, Mina Alibeigi, Masoud Daneshtalab
2022 J jnl
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty.
CoRR
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2022 A conf
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning.
UAI
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2021 J jnl
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning.
CoRR
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2017 J jnl
A Fast, Robust, and Incremental Model for Learning High-Level Concepts From Human Motions by Imitation.
IEEE Trans. Robotics
Mina Alibeigi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
2017 J jnl
Incremental learning of high-level concepts by imitation.
CoRR
Mina Alibeigi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
2017 J jnl
Inverse Kinematics Based Human Mimicking System using Skeletal Tracking Technology.
J. Intell. Robotic Syst.
Mina Alibeigi, Sadegh Rabiee, Majid Nili Ahmadabadi
2012 J jnl
DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets.
Data Knowl. Eng.
Mina Alibeigi, Sattar Hashemi, Ali Hamzeh