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ORCIDAmin Banitalebi-Dehkordi
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2020 – today
- 2024
[c24]Masoud Mokhtari, Fatemeh Taheri Dezaki, Timo Bolkart, Betty Mohler Tesch, Rahul Suresh, Amin Banitalebi-Dehkordi:
Skin Tone Disentanglement in 2D Makeup Transfer With Graph Neural Networks. ICASSP 2024: 2745-2749- [i29]Siliang Liu, Rahul Suresh, Amin Banitalebi-Dehkordi:
Beauty Beyond Words: Explainable Beauty Product Recommendations Using Ingredient-Based Product Attributes. CoRR abs/2409.13628 (2024) - 2023
- [j10]Amin Banitalebi-Dehkordi, Abdollah Amirkhani
, Alireza Mohammadinasab:
EBCDet: Energy-Based Curriculum for Robust Domain Adaptive Object Detection. IEEE Access 11: 77810-77825 (2023) - [j9]Abdollah Amirkhani, Mohammad Parsa Karimi, Amin Banitalebi-Dehkordi:
A survey on adversarial attacks and defenses for object detection and their applications in autonomous vehicles. Vis. Comput. 39(11): 5293-5307 (2023) - [c23]Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang:
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoNLL 2023: 87-107 - [c22]Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang:
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach. IROS 2023: 7348-7353 - [c21]Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. ECML/PKDD (4) 2023: 268-283 - [i28]Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. CoRR abs/2303.08233 (2023) - [i27]Parnian Afshar, Jenny Yeon, Andriy Levitskyy, Rahul Suresh, Amin Banitalebi-Dehkordi:
Improving the Accuracy of Beauty Product Recommendations by Assessing Face Illumination Quality. CoRR abs/2309.04022 (2023) - [i26]Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang:
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoRR abs/2310.17737 (2023) - [i25]Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. CoRR abs/2311.13843 (2023) - [i24]Fatemeh Taheri Dezaki, Himanshu Arora, Rahul Suresh, Amin Banitalebi-Dehkordi:
Automated Material Properties Extraction For Enhanced Beauty Product Discovery and Makeup Virtual Try-on. CoRR abs/2312.00766 (2023) - 2022
- [j8]Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang:
Extending Momentum Contrast With Cross Similarity Consistency Regularization. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6714-6727 (2022) - [c20]Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang:
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. ACL (1) 2022: 5229-5244 - [c19]Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang:
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. CVPR Workshops 2022: 3998-4005 - [c18]Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang:
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. ECCV (36) 2022: 610-626 - [c17]Rindra Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions. EMNLP (Industry Track) 2022: 29-62 - [c16]Tianyu Zhang, Amin Banitalebi-Dehkordi, Yong Zhang:
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch. ICPR 2022: 3105-3111 - [i23]Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang:
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. CoRR abs/2203.00748 (2022) - [i22]Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang:
Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning. CoRR abs/2203.15925 (2022) - [i21]Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang:
Extending Momentum Contrast with Cross Similarity Consistency Regularization. CoRR abs/2206.04676 (2022) - [i20]Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang:
Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning. CoRR abs/2206.05028 (2022) - [i19]Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang:
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. CoRR abs/2206.06959 (2022) - [i18]Tianyu Zhang, Amin Banitalebi-Dehkordi, Yong Zhang:
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch. CoRR abs/2206.06965 (2022) - [i17]Fabrizio Pedersoli, Dryden Wiebe, Amin Banitalebi, Yong Zhang, Kwang Moo Yi:
Estimating Visual Information From Audio Through Manifold Learning. CoRR abs/2208.02337 (2022) - [i16]Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang:
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. CoRR abs/2208.07407 (2022) - [i15]Rindranirina Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions. CoRR abs/2209.15565 (2022) - 2021
- [c15]Amin Banitalebi-Dehkordi, Yong Zhang:
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples. BMVC 2021: 122 - [c14]Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang:
EBJR: Energy-Based Joint Reasoning for Adaptive Inference. BMVC 2021: 157 - [c13]Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang:
Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data? BMVC 2021: 263 - [c12]Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang:
SimROD: A Simple Adaptation Method for Robust Object Detection. ICCV 2021: 3550-3559 - [c11]Amin Banitalebi-Dehkordi:
Knowledge Distillation for Low-Power Object Detection: A Simple Technique and Its Extensions for Training Compact Models Using Unlabeled Data. ICCVW 2021: 769-778 - [c10]Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang:
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. KDD 2021: 2543-2553 - [c9]Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. NeurIPS (Competition and Demos) 2021: 189-203 - [i14]Amin Banitalebi-Dehkordi:
Revisiting Knowledge Distillation for Object Detection. CoRR abs/2105.10633 (2021) - [i13]Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang:
SimROD: A Simple Adaptation Method for Robust Object Detection. CoRR abs/2107.13389 (2021) - [i12]Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang:
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. CoRR abs/2108.13041 (2021) - [i11]Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang:
EBJR: Energy-Based Joint Reasoning for Adaptive Inference. CoRR abs/2110.10343 (2021) - [i10]Amin Banitalebi-Dehkordi, Yong Zhang:
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples. CoRR abs/2110.10366 (2021) - [i9]Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang:
Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data? CoRR abs/2110.10369 (2021) - [i8]Amin Banitalebi-Dehkordi, Yong Zhang:
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 abs/2112.12251 (2021)
2010 – 2019
- 2018
- [j7]Mehdi Banitalebi Dehkordi, Amin Banitalebi-Dehkordi, Jamshid Abouei, Konstantinos N. Plataniotis:
Face recognition using a new compressive sensing-based feature extraction method. Multim. Tools Appl. 77(11): 14007-14027 (2018) - [j6]Amin Banitalebi-Dehkordi, Panos Nasiopoulos:
Saliency inspired quality assessment of stereoscopic 3D video. Multim. Tools Appl. 77(19): 26055-26082 (2018) - [i7]Amin Banitalebi, Said Nader-Esfahani, Alireza Nasiri Avanaki:
Robust LSB Watermarking Optimized for Local Structural Similarity. CoRR abs/1803.04617 (2018) - [i6]Mehdi Banitalebi Dehkordi, Amin Banitalebi-Dehkordi:
Music Genre Classification Using Spectral Analysis and Sparse Representation of the Signals. CoRR abs/1803.04652 (2018) - [i5]Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos:
Effect of Eye Dominance on the Perception of Stereoscopic 3D Video. CoRR abs/1803.04656 (2018) - [i4]Amin Banitalebi-Dehkordi, Yuanyuan Dong, Mahsa T. Pourazad, Panos Nasiopoulos:
A Learning-Based Visual Saliency Fusion Model for High Dynamic Range Video (LBVS-HDR). CoRR abs/1803.04827 (2018) - [i3]Amin Banitalebi-Dehkordi:
3D Video Quality Assessment. CoRR abs/1803.04836 (2018) - [i2]Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos:
A Learning-Based Visual Saliency Prediction Model for Stereoscopic 3D Video (LBVS-3D). CoRR abs/1803.04842 (2018) - [i1]Amin Banitalebi-Dehkordi, Mehdi Banitalebi Dehkordi, Jamshid Abouei, Said Nader-Esfahani:
An Improvement Technique based on Structural Similarity Thresholding for Digital Watermarking. CoRR abs/1803.04966 (2018) - 2017
- [j5]Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos:
A learning-based visual saliency prediction model for stereoscopic 3D video (LBVS-3D). Multim. Tools Appl. 76(22): 23859-23890 (2017) - 2016
- [j4]Amin Banitalebi-Dehkordi, Eleni Nasiopoulos, Mahsa T. Pourazad, Panos Nasiopoulos:
Benchmark three-dimensional eye-tracking dataset for visual saliency prediction on stereoscopic three-dimensional video. J. Electronic Imaging 25(1): 013008 (2016) - [j3]Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos:
An efficient human visual system based quality metric for 3D video. Multim. Tools Appl. 75(8): 4187-4215 (2016) - [j2]Hamid Reza Tohidypour, Amin Banitalebi-Dehkordi:
Speech frame recognition based on less shift sensitive wavelet filter banks. Signal Image Video Process. 10(4): 633-637 (2016) - [c8]Amin Banitalebi-Dehkordi, Maryam Azimi, Mahsa T. Pourazad, Panos Nasiopoulos:
Visual saliency aided High Dynamic Range (HDR) video quality metrics. ICC Workshops 2016: 486-491 - 2015
- [c7]Amin Banitalebi-Dehkordi, Yuanyuan Dong, Mahsa T. Pourazad, Panos Nasiopoulos:
A learning-based visual saliency fusion model for High Dynamic Range video (LBVS-HDR). EUSIPCO 2015: 1541-1545 - 2014
- [j1]Mehdi Banitalebi Dehkordi, Amin Banitalebi-Dehkordi:
Music Genre Classification Using Spectral Analysis and Sparse Representation of the Signals. J. Signal Process. Syst. 74(2): 273-280 (2014) - [c6]Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos:
Effect of high frame rates on 3D video quality of experience. ICCE 2014: 416-417 - [c5]Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos:
Effect of eye dominance on the perception of stereoscopic 3D video. ICIP 2014: 3469-3473 - [c4]Amin Banitalebi-Dehkordi, Mehran Azimi, Mahsa T. Pourazad, Panos Nasiopoulos:
Compression of high dynamic range video using the HEVC and H.264/AVC standards. QSHINE 2014: 8-12 - 2013
- [c3]Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos:
A study on the relationship between depth map quality and the overall 3D video quality of experience. 3DTV-Conference 2013: 1-4 - [c2]Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos:
3D video quality metric for mobile applications. ICASSP 2013: 3731-3735 - [c1]Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos:
3D video quality metric for 3D video compression. IVMSP 2013: 1-4
Coauthor Index
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last updated on 2024-10-16 20:28 CEST by the dblp team
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