Amin Banitalebi-Dehkordi

63 papers A* 2A 4B 3C 2Misc 2Journal 38Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Scalable and Realistic Virtual Try-on Application for Foundation Makeup with Kubelka-Munk Theory. CoRR Hui Pang, Sunil Hadap, Violetta Shevchenko, Rahul Suresh, Amin Banitalebi-Dehkordi
2024	—	`conf`	Beauty Beyond Words: Explainable Beauty Product Recommendations Using Ingredient-Based Product Attributes. SURE@RecSys Celine Liu, Rahul Suresh, Amin Banitalebi-Dehkordi
2024	J	`jnl`	Beauty Beyond Words: Explainable Beauty Product Recommendations Using Ingredient-Based Product Attributes. CoRR Siliang Liu, Rahul Suresh, Amin Banitalebi-Dehkordi
2024	Misc	`conf`	Skin Tone Disentanglement in 2D Makeup Transfer With Graph Neural Networks. ICASSP Masoud Mokhtari, Fatemeh Taheri Dezaki, Timo Bolkart, Betty Mohler Tesch, Rahul Suresh, Amin Banitalebi-Dehkordi
2023	J	`jnl`	A survey on adversarial attacks and defenses for object detection and their applications in autonomous vehicles. Vis. Comput. Abdollah Amirkhani, Mohammad Parsa Karimi, Amin Banitalebi-Dehkordi
2023	B	`conf`	ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoNLL Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang
2023	J	`jnl`	ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoRR Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang
2023	A	`conf`	Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach. IROS Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang
2023	J	`jnl`	Automated Material Properties Extraction For Enhanced Beauty Product Discovery and Makeup Virtual Try-on. CoRR Fatemeh Taheri Dezaki, Himanshu Arora, Rahul Suresh, Amin Banitalebi-Dehkordi
2023	J	`jnl`	EBCDet: Energy-Based Curriculum for Robust Domain Adaptive Object Detection. IEEE Access Amin Banitalebi-Dehkordi, Abdollah Amirkhani, Alireza Mohammadinasab
2023	—	`conf`	Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. ECML/PKDD (4) Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2023	J	`jnl`	Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. CoRR Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2023	J	`jnl`	Improving the Accuracy of Beauty Product Recommendations by Assessing Face Illumination Quality. CoRR Parnian Afshar, Jenny Yeon, Andriy Levitskyy, Rahul Suresh, Amin Banitalebi-Dehkordi
2023	J	`jnl`	NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. CoRR 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
2022	—	`conf`	Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions. EMNLP (Industry Track) Rindra Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2022	J	`jnl`	Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions. CoRR Rindranirina Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2022	—	`conf`	AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. CVPR Workshops Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang
2022	J	`jnl`	AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. CoRR Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang
2022	B	`conf`	Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch. ICPR Tianyu Zhang, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch. CoRR Tianyu Zhang, Amin Banitalebi-Dehkordi, Yong Zhang
2022	—	`conf`	E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. ACL (1) Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. CoRR Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	Extending Momentum Contrast With Cross Similarity Consistency Regularization. IEEE Trans. Circuits Syst. Video Technol. Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	Extending Momentum Contrast with Cross Similarity Consistency Regularization. CoRR Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning. CoRR Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang
2022	—	`conf`	SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. ECCV (36) Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. CoRR Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning. CoRR Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang
2021	A*	`conf`	Auto-Split: A General Framework of Collaborative Edge-Cloud AI. KDD Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang
2021	J	`jnl`	Auto-Split: A General Framework of Collaborative Edge-Cloud AI. CoRR Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang
2021	A	`conf`	EBJR: Energy-Based Joint Reasoning for Adaptive Inference. BMVC Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
2021	J	`jnl`	EBJR: Energy-Based Joint Reasoning for Adaptive Inference. CoRR Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
2021	—	`conf`	Knowledge Distillation for Low-Power Object Detection: A Simple Technique and Its Extensions for Training Compact Models Using Unlabeled Data. ICCVW Amin Banitalebi-Dehkordi
2021	J	`jnl`	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 Amin Banitalebi-Dehkordi, Yong Zhang
2021	A	`conf`	Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data? BMVC Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang
2021	J	`jnl`	Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data? CoRR Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang
2021	—	`conf`	NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. NeurIPS (Competition and Demos) 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
2021	A	`conf`	Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples. BMVC Amin Banitalebi-Dehkordi, Yong Zhang
2021	J	`jnl`	Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples. CoRR Amin Banitalebi-Dehkordi, Yong Zhang
2021	J	`jnl`	Revisiting Knowledge Distillation for Object Detection. CoRR Amin Banitalebi-Dehkordi
2021	A*	`conf`	SimROD: A Simple Adaptation Method for Robust Object Detection. ICCV Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang
2021	J	`jnl`	SimROD: A Simple Adaptation Method for Robust Object Detection. CoRR Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang
2018	J	`jnl`	3D Video Quality Assessment. CoRR Amin Banitalebi-Dehkordi
2018	J	`jnl`	A Learning-Based Visual Saliency Fusion Model for High Dynamic Range Video (LBVS-HDR). CoRR Amin Banitalebi-Dehkordi, Yuanyuan Dong, Mahsa T. Pourazad, Panos Nasiopoulos
2018	J	`jnl`	A Learning-Based Visual Saliency Prediction Model for Stereoscopic 3D Video (LBVS-3D). CoRR Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos
2018	J	`jnl`	An Improvement Technique based on Structural Similarity Thresholding for Digital Watermarking. CoRR Amin Banitalebi-Dehkordi, Mehdi Banitalebi Dehkordi, Jamshid Abouei, Said Nader-Esfahani
2018	J	`jnl`	Effect of Eye Dominance on the Perception of Stereoscopic 3D Video. CoRR Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos
2018	J	`jnl`	Face recognition using a new compressive sensing-based feature extraction method. Multim. Tools Appl. Mehdi Banitalebi Dehkordi, Amin Banitalebi-Dehkordi, Jamshid Abouei, Konstantinos N. Plataniotis
2018	J	`jnl`	Music Genre Classification Using Spectral Analysis and Sparse Representation of the Signals. CoRR Mehdi Banitalebi Dehkordi, Amin Banitalebi-Dehkordi
2018	J	`jnl`	Saliency inspired quality assessment of stereoscopic 3D video. Multim. Tools Appl. Amin Banitalebi-Dehkordi, Panos Nasiopoulos
2017	J	`jnl`	A learning-based visual saliency prediction model for stereoscopic 3D video (LBVS-3D). Multim. Tools Appl. Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos
2016	J	`jnl`	An efficient human visual system based quality metric for 3D video. Multim. Tools Appl. Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos
2016	J	`jnl`	Benchmark three-dimensional eye-tracking dataset for visual saliency prediction on stereoscopic three-dimensional video. J. Electronic Imaging Amin Banitalebi-Dehkordi, Eleni Nasiopoulos, Mahsa T. Pourazad, Panos Nasiopoulos
2016	J	`jnl`	Speech frame recognition based on less shift sensitive wavelet filter banks. Signal Image Video Process. Hamid Reza Tohidypour, Amin Banitalebi-Dehkordi
2016	—	`conf`	Visual saliency aided High Dynamic Range (HDR) video quality metrics. ICC Workshops Amin Banitalebi-Dehkordi, Maryam Azimi, Mahsa T. Pourazad, Panos Nasiopoulos
2015	—	`conf`	A learning-based visual saliency fusion model for High Dynamic Range video (LBVS-HDR). EUSIPCO Amin Banitalebi-Dehkordi, Yuanyuan Dong, Mahsa T. Pourazad, Panos Nasiopoulos
2014	C	`conf`	Compression of high dynamic range video using the HEVC and H.264/AVC standards. QSHINE Amin Banitalebi-Dehkordi, Mehran Azimi, Mahsa T. Pourazad, Panos Nasiopoulos
2014	B	`conf`	Effect of eye dominance on the perception of stereoscopic 3D video. ICIP Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos
2014	C	`conf`	Effect of high frame rates on 3D video quality of experience. ICCE Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos
2014	J	`jnl`	Music Genre Classification Using Spectral Analysis and Sparse Representation of the Signals. J. Signal Process. Syst. Mehdi Banitalebi Dehkordi, Amin Banitalebi-Dehkordi
2013	—	`conf`	3D video quality metric for 3D video compression. IVMSP Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos
2013	Misc	`conf`	3D video quality metric for mobile applications. ICASSP Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos
2013	—	`conf`	A study on the relationship between depth map quality and the overall 3D video quality of experience. 3DTV-Conference Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos