Hossein Hajimirsadeghi

According to our database, Hossein Hajimirsadeghi authored at least 33 papers between 2008 and 2023.

Collaborative distances:

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

2023

Prompting-based Efficient Temporal Domain Generalization.

Sepidehsadat Hosseini, Mengyao Zhai, Hossein Hajimirsadeghi, Frederick Tung

CoRR, 2023

Tree Cross Attention.

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

CoRR, 2023

Constant Memory Attention Block.

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

CoRR, 2023

Constant Memory Attentive Neural Processes.

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

CoRR, 2023

Latent Bottlenecked Attentive Neural Processes.

Leo Feng, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Better Selective Classification.

Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Amir H. Abdi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Training a Vision Transformer from scratch in less than 24 hours with 1 GPU.

Saghar Irandoust, Thibaut Durand, Yunduz Rakhmangulova, Wenjie Zi, Hossein Hajimirsadeghi

CoRR, 2022

Stop Overcomplicating Selective Classification: Use Max-Logit.

Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Amir H. Abdi

CoRR, 2022

Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification.

Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori

Proceedings of the Uncertainty in Artificial Intelligence, 2022

TD-GEN: Graph Generation Using Tree Decomposition.

Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

TD-GEN: Graph Generation With Tree Decomposition.

Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori

CoRR, 2021

Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data.

Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Adapting Grad-CAM for Embedding Networks.

Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Learning to Detect Blue-White Structures in Dermoscopy Images With Weak Supervision.

Ali Madooei, Mark S. Drew, Hossein Hajimirsadeghi

IEEE J. Biomed. Health Informatics, 2019

Graph Generation with Variational Recurrent Neural Network.

Shih-Yang Su, Hossein Hajimirsadeghi, Greg Mori

CoRR, 2019

Variational Selective Autoencoder.

Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Megha Nawhal, Thibaut Durand, Greg Mori

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2017

Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks.

Hossein Hajimirsadeghi, Greg Mori

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2015

Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables.

Hossein Hajimirsadeghi, Greg Mori

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Discovering human interactions in videos with limited data labeling.

Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou, Hossein Hajimirsadeghi, Mehrsan Javan Roshtkhari, Greg Mori, Stephen Se

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Visual recognition by counting instances: A multi-instance cardinality potential kernel.

Hossein Hajimirsadeghi, Wang Yan, Arash Vahdat, Greg Mori

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Multimedia event detection with multimodal feature fusion and temporal concept localization.

Sangmin Oh, Scott McCloskey, Ilseo Kim, Arash Vahdat, Kevin J. Cannons, Hossein Hajimirsadeghi, Greg Mori, A. G. Amitha Perera, Megha Pandey, Jason J. Corso

Mach. Vis. Appl., 2014

2013

Conceptual Imitation Learning Based on Perceptual and Functional Characteristics of Action.

Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Babak Nadjar Araabi

IEEE Trans. Auton. Ment. Dev., 2013

Multiple Instance Learning by Discriminative Training of Markov Networks.

Hossein Hajimirsadeghi, Jinling Li, Greg Mori, Mohamed H. Zaki, Tarek Sayed

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

TRECVID 2013 GENIE: Multimedia Event Detection and Recounting.

Sangmin Oh, A. G. Amitha Perera, Ilseo Kim, Megha Pandey, Kevin J. Cannons, Hossein Hajimirsadeghi, Arash Vahdat, Greg Mori, Ben Miller, Scott McCloskey, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Chenliang Xu, Rohit Kumar, Wei Chen, Jason J. Corso, Li Fei-Fei, Daphne Koller, Vignesh Ramanathan, Kevin Tang, Armand Joulin, Alexandre Alahi

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

2012

Conceptual Imitation Learning in a Human-Robot Interaction Paradigm.

Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Babak Nadjar Araabi, Hadi Moradi

ACM Trans. Intell. Syst. Technol., 2012

Multiobjective invasive weed optimization: Application to analysis of Pareto improvement models in electricity markets.

Amir Hossein Nikoofard, Hossein Hajimirsadeghi, Ashkan Rahimi-Kian, Caro Lucas

Appl. Soft Comput., 2012

TRECVID 2012 GENIE: Multimedia Event Detection and Recounting.

A. G. Amitha Perera, Sangmin Oh, Megha Pandey, Tianyang Ma, Anthony Hoogs, Arash Vahdat, Kevin J. Cannons, Hossein Hajimirsadeghi, Greg Mori, Scott McCloskey, Ben Miller, Sharath Venkatesha, Pedro Davalos, Pradipto Das, Chenliang Xu, Jason J. Corso, Rohini K. Srihari, Ilseo Kim, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Kevin Tang, Li Fei-Fei, Daphne Koller

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

Multiple instance real boosting with aggregation functions.

Hossein Hajimirsadeghi, Greg Mori

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Conceptual imitation learning based on functional effects of action.

Hossein Hajimirsadeghi

Proceedings of EUROCON 2011, 2011

2010

Conceptual Imitation Learning: An Application to Human-robot Interaction.

Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Mostafa Ajallooeian, Babak Nadjar Araabi, Hadi Moradi

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

2009

Cooperative Coevolutionary Invasive Weed Optimization and its Application to Nash Equilibrium Search in Electricity Markets.

Hossein Hajimirsadeghi, Ahmed Ghazanfari, Ashkan Rahimi-Kian, Caro Lucas

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

Discrete invasive weed optimization algorithm: application to cooperative multiple task assignment of UAVs.

Mohsen Ramezani Ghalenoei, Hossein Hajimirsadeghi, Caro Lucas

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

Ant Colony Optimization with a Genetic Restart Approach toward Global Optimization.

Hossein Hajimirsadeghi, Mahdy Nabaee, Babak Nadjar Araabi

Proceedings of the Advances in Computer Science and Engineering, 2008