Amin Banitalebi-Dehkordi

Orcid: 0000-0001-6407-1762

According to our database1, Amin Banitalebi-Dehkordi authored at least 45 papers between 2013 and 2024.

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Bibliography

2024
Beauty Beyond Words: Explainable Beauty Product Recommendations Using Ingredient-Based Product Attributes.
CoRR, 2024

Skin Tone Disentanglement in 2D Makeup Transfer With Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

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

EBCDet: Energy-Based Curriculum for Robust Domain Adaptive Object Detection.
IEEE Access, 2023

Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks.
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

ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

2022
Extending Momentum Contrast With Cross Similarity Consistency Regularization.
IEEE Trans. Circuits Syst. Video Technol., 2022

Estimating Visual Information From Audio Through Manifold Learning.
CoRR, 2022

Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning.
CoRR, 2022

Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning.
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

AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models.
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

Revisiting Knowledge Distillation for Object Detection.
CoRR, 2021

NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.
Proceedings of the NeurIPS 2022 Competition Track, 2021

Auto-Split: A General Framework of Collaborative Edge-Cloud AI.
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

SimROD: A Simple Adaptation Method for Robust Object Detection.
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

EBJR: Energy-Based Joint Reasoning for Adaptive Inference.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2018
Saliency inspired quality assessment of stereoscopic 3D video.
Multim. Tools Appl., 2018

Face recognition using a new compressive sensing-based feature extraction method.
Multim. Tools Appl., 2018

An Improvement Technique based on Structural Similarity Thresholding for Digital Watermarking.
CoRR, 2018

3D Video Quality Assessment.
CoRR, 2018

Robust LSB Watermarking Optimized for Local Structural Similarity.
CoRR, 2018

2017
A learning-based visual saliency prediction model for stereoscopic 3D video (LBVS-3D).
Multim. Tools Appl., 2017

2016
Speech frame recognition based on less shift sensitive wavelet filter banks.
Signal Image Video Process., 2016

An efficient human visual system based quality metric for 3D video.
Multim. Tools Appl., 2016

Benchmark three-dimensional eye-tracking dataset for visual saliency prediction on stereoscopic three-dimensional video.
J. Electronic Imaging, 2016

Visual saliency aided High Dynamic Range (HDR) video quality metrics.
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

Compression of high dynamic range video using the HEVC and H.264/AVC standards.
Proceedings of the 10th International Conference on Heterogeneous Networking for Quality, 2014

Effect of eye dominance on the perception of stereoscopic 3D video.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Effect of high frame rates on 3D video quality of experience.
Proceedings of the IEEE International Conference on Consumer Electronics, 2014

2013
3D video quality metric for 3D video compression.
Proceedings of the 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013

3D video quality metric for mobile applications.
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


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