Amin Banitalebi-Dehkordi
Orcid: 0000-0001-6407-1762
According to our database1,
Amin Banitalebi-Dehkordi
authored at least 43 papers
between 2013 and 2023.
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Bibliography
2023
A survey on adversarial attacks and defenses for object detection and their applications in autonomous vehicles.
Vis. Comput., November, 2023
Automated Material Properties Extraction For Enhanced Beauty Product Discovery and Makeup Virtual Try-on.
CoRR, 2023
Improving the Accuracy of Beauty Product Recommendations by Assessing Face Illumination Quality.
CoRR, 2023
IEEE Access, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach.
IROS, 2023
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023
2022
IEEE Trans. Circuits Syst. Video Technol., 2022
CoRR, 2022
CoRR, 2022
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data.
CoRR, 2021
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.
Proceedings of the NeurIPS 2022 Competition Track, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Knowledge Distillation for Low-Power Object Detection: A Simple Technique and Its Extensions for Training Compact Models Using Unlabeled Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2018
Multim. Tools Appl., 2018
Multim. Tools Appl., 2018
An Improvement Technique based on Structural Similarity Thresholding for Digital Watermarking.
CoRR, 2018
2017
A learning-based visual saliency prediction model for stereoscopic 3D video (LBVS-3D).
Multim. Tools Appl., 2017
2016
Signal Image Video Process., 2016
Multim. Tools Appl., 2016
Benchmark three-dimensional eye-tracking dataset for visual saliency prediction on stereoscopic three-dimensional video.
J. Electronic Imaging, 2016
Proceedings of the IEEE International Conference on Communication, 2016
2015
A learning-based visual saliency fusion model for High Dynamic Range video (LBVS-HDR).
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
Music Genre Classification Using Spectral Analysis and Sparse Representation of the Signals.
J. Signal Process. Syst., 2014
Proceedings of the 10th International Conference on Heterogeneous Networking for Quality, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the IEEE International Conference on Consumer Electronics, 2014
2013
Proceedings of the 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
A study on the relationship between depth map quality and the overall 3D video quality of experience.
Proceedings of the 3DTV-Conference 2013: The True Vision, 2013