Hamed Rezazadegan Tavakoli

According to our database, Hamed Rezazadegan Tavakoli authored at least 74 papers between 2009 and 2024.

Collaborative distances:

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

2024

UEyes: An Eye-Tracking Dataset across User Interface Types.

Yue Jiang, Luis A. Leiva, Paul R. B. Houssel, Hamed R. Tavakoli, Julia Kylmälä, Antti Oulasvirta

CoRR, 2024

2023

NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines.

Jukka I. Ahonen, Nam Le, Honglei Zhang, Antti Hallapuro, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu

Proceedings of the IEEE International Symposium on Multimedia, 2023

Stabilizing the Convolution Operations for Neural Network-Based Image and Video Codecs for Machines.

Honglei Zhang, Nam Le, Francesco Cricri, Jukka I. Ahonen, Hamed Rezazadegan Tavakoli

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

UEyes: Understanding Visual Saliency across User Interface Types.

Yue Jiang, Luis A. Leiva, Hamed Rezazadegan Tavakoli, Paul R. B. Houssel, Julia Kylmälä, Antti Oulasvirta

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Momentum Adapt: Robust Unsupervised Adaptation for Improving Temporal Consistency in Video Semantic Segmentation During Test-Time.

Amirhossein Hassankhani, Hamed Rezazadegan Tavakoli, Esa Rahtu

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Overview of the Neural Network Compression and Representation (NNR) Standard.

Heiner Kirchhoffer, Paul Haase, Wojciech Samek, Karsten Müller, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre B. Aksu, Miska M. Hannuksela, Wei Jiang, Wei Wang, Shan Liu, Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé, Werner Bailer

IEEE Trans. Circuits Syst. Video Technol., 2022

A compact deep architecture for real-time saliency prediction.

Samad Zabihi, Hamed R. Tavakoli, Ali Borji, Eghbal G. Mansoori

Signal Process. Image Commun., 2022

Leveraging progressive model and overfitting for efficient learned image compression.

Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela

CoRR, 2022

On the Importance of Temporal Dependencies of Weight Updates in Communication Efficient Federated Learning.

Homayun Afrabandpey, Rangu Goutham, Honglei Zhang, Francesco Criri, Emre Aksu, Hamed R. Tavakoli

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

The Lottery Ticket Adaptation for Neural Video Coding.

Nannan Zou, Francesco Cricri, Honglei Zhang, Hamed R. Tavakoli, Miska M. Hannuksela, Esa Rahtu

Proceedings of the IEEE International Symposium on Multimedia, 2022

TMD: Transformed Mesh Decoder for Mesh Animation.

Peter Fasogbon, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Emre Aksu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Efficient Topology Coding and Payload Partitioning Techniques for Neural Network Compression (NNC) Standard.

Jaakko Laitinen, Alexandre Mercat, Jarno Vanne, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre Aksu, Miska M. Hannuksela

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

Adaptive Multi-Scale Progressive Probability Model for Lossless Image Compression.

Honglei Zhang, Francesco Cricri, Nannan Zou, Hamed R. Tavakoli, Miska M. Hannuksela

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Stochastic Binary-Ternary Quantization for Communication Efficient Federated Computation.

Rangu Goutham, Homayun Afrabandpey, Francesco Cricri, Honglei Zhang, Emre Aksu, Miska M. Hannuksela, Hamed R. Tavakoli

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Bridging the Gap Between Image Coding for Machines and Humans.

Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Overfitting multiplier parameters for content-adaptive post-filtering in video coding.

María Santamaría, Ruiying Yang, Francesco Cricri, Honglei Zhang, Jani Lainema, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Miska M. Hannuksela

Proceedings of the 10th European Workshop on Visual Information Processing, 2022

2021

Deep saliency models : The quest for the loss function.

Alexandre Bruckert, Hamed R. Tavakoli, Zhi Liu, Marc Christie, Olivier Le Meur

Neurocomputing, 2021

Understanding Visual Saliency in Mobile User Interfaces.

Luis A. Leiva, Yunfei Xue, Avya Bansal, Hamed R. Tavakoli, Tugçe Köroglu, Niraj Ramesh Dayama, Antti Oulasvirta

CoRR, 2021

Learn to overfit better: finding the important parameters for learned image compression.

Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, María Santamaría, Yat-Hong Lam, Miska M. Hannuksela

Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Adaptation and Attention for Neural Video Coding.

Nannan Zou, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu

Proceedings of the IEEE International Symposium on Multimedia, 2021

Enhancing Image Coding for Machines with Compressed Feature Residuals.

Joni Seppälä, Honglei Zhang, Nam Le, Ramin Ghaznavi Youvalari, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu

Proceedings of the IEEE International Symposium on Multimedia, 2021

Learned Enhancement Filters for Image Coding for Machines.

Jukka I. Ahonen, Ramin Ghaznavi Youvalari, Nam Le, Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu

Proceedings of the IEEE International Symposium on Multimedia, 2021

Learned Image Coding for Machines: A Content-Adaptive Approach.

Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Hybrid Pruning And Sparsification.

Hamed R. Tavakoli, Joachim Wabnig, Francesco Cricri, Honglei Zhang, Emre Aksu, Iraj Saniee

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Mind The Structure: Adopting Structural Information For Deep Neural Network Compression.

Homayun Afrabandpey, Anton Muravev, Hamed R. Tavakoli, Honglei Zhang, Francesco Cricri, Moncef Gabbouj, Emre Aksu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Learned Video Compression With Intra-Guided Enhancement and Implicit Motion Information.

Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

A unified cycle-consistent neural model for text and image retrieval.

Marcella Cornia, Lorenzo Baraldi, Hamed R. Tavakoli, Rita Cucchiara

Multim. Tools Appl., 2020

A Compact Deep Architecture for Real-time Saliency Prediction.

Samad Zabihi, Hamed Rezazadegan Tavakoli, Ali Borji

CoRR, 2020

Geometric Image Correspondence Verification by Dense Pixel Matching.

Zakaria Laskar, Iaroslav Melekhov, Hamed R. Tavakoli, Juha Ylioinas

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

L²C - Learning to Learn to Compress.

Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska M. Hannuksela, Emre Aksu, Esa Rahtu

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

AI4TV 2020: 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery.

Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris, Mohammad Hosseini

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Understanding Visual Saliency in Mobile User Interfaces.

Luis A. Leiva, Yunfei Xue, Avya Bansal, Hamed R. Tavakoli, Tugçe Köroglu, Jingzhou Du, Niraj Ramesh Dayama, Antti Oulasvirta

Proceedings of the MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, 2020

Deep Audio-Visual Saliency: Baseline Model and Data.

Hamed Rezazadegan Tavakoli, Ali Borji, Juho Kannala, Esa Rahtu

Proceedings of the ETRA '20: 2020 Symposium on Eye Tracking Research and Applications, 2020

End-to-End Learning for Video Frame Compression with Self-Attention.

Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Lossless Image Compression Using a Multi-scale Progressive Statistical Model.

Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Nannan Zou, Emre Aksu, Miska M. Hannuksela

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Image Captioning Through Image Transformer.

Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction.

Hamed R. Tavakoli, Ali Borji, Esa Rahtu, Juho Kannala

CoRR, 2019

PeyeDF: an Eye-Tracking Application for Reading and Self-Indexing Research.

Marco Filetti, Hamed R. Tavakoli, Niklas Ravaja, Giulio Jacucci

CoRR, 2019

Geometric Image Correspondence Verification by Dense Pixel Matching.

Zakaria Laskar, Iaroslav Melekhov, Hamed R. Tavakoli, Juha Ylioinas, Juho Kannala

CoRR, 2019

A Synchronized Multi-Modal Attention-Caption Dataset and Analysis.

Sen He, Hamed R. Tavakoli, Ali Borji, Nicolas Pugeault

CoRR, 2019

Digging Deeper Into Egocentric Gaze Prediction.

Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Semantic Matching by Weakly Supervised 2D Point Set Registration.

Zakaria Laskar, Hamed Rezazadegan Tavakoli, Juho Kannala

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

AI4TV 2019: 1st International Workshop on AI for Smart TV Content Production, Access and Delivery.

Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris

Proceedings of the 27th ACM International Conference on Multimedia, 2019

AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation.

Mohammad Tavakolian, Hamed Rezazadegan Tavakoli, Abdenour Hadid

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Human Attention in Image Captioning: Dataset and Analysis.

Sen He, Hamed Rezazadegan Tavakoli, Ali Borji, Nicolas Pugeault

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Understanding and Visualizing Deep Visual Saliency Models.

Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Image and Video Captioning with Augmented Neural Architectures.

Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen

IEEE Multim., 2018

Bottom-up Attention, Models of.

Ali Borji, Hamed R. Tavakoli, Zoya Bylinskii

CoRR, 2018

PicSOM Experiments in TRECVID 2018.

Mats Sjöberg, Hamed R. Tavakoli, Zhicun Xu, Héctor Laria Mantecón, Jorma Laaksonen

Proceedings of the 2018 TREC Video Retrieval Evaluation, 2018

Bottom-Up Attention Guidance for Recurrent Image Recognition.

Hamed R. Tavakoli, Ali Borji, Rao Muhammad Anwer, Esa Rahtu, Juho Kannala

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Towards Cycle-Consistent Models for Text and Image Retrieval.

Marcella Cornia, Lorenzo Baraldi, Hamed R. Tavakoli, Rita Cucchiara

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features.

Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu

Neurocomputing, 2017

Can Saliency Information Benefit Image Captioning Models?

Hamed Rezazadegan Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen

CoRR, 2017

Investigating Natural Image Pleasantness Recognition using Deep Features and Eye Tracking for Loosely Controlled Human-computer Interaction.

Hamed Rezazadegan Tavakoli, Jorma Laaksonen, Esa Rahtu

CoRR, 2017

Prominent Object Detection and Recognition: A Saliency-based Pipeline.

Hamed Rezazadegan Tavakoli, Jorma Laaksonen

CoRR, 2017

Paying Attention to Descriptions Generated by Image Captioning Models.

Hamed R. Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen

Proceedings of the IEEE International Conference on Computer Vision, 2017

Fixation Prediction in Videos Using Unsupervised Hierarchical Features.

Julius Wang, Hamed R. Tavakoli, Jorma Laaksonen

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Saliency Revisited: Analysis of Mouse Movements Versus Fixations.

Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

On the Contribution of Saliency in Visual Tracking.

Iman Alikhani, Hamed Rezazadegan Tavakoli, Esa Rahtu, Jorma Laaksonen

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Exploiting Scene Context for Image Captioning.

Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen

Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion, 2016

Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations.

Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski

Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Towards gaze-based video annotation.

Mohamed Soliman, Hamed Rezazadegan Tavakoli, Jorma Laaksonen

Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models.

Hamed Rezazadegan Tavakoli, Jorma Laaksonen

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2014

Emotional Valence Recognition, Analysis of Salience and Eye Movements.

Hamed Rezazadegan Tavakoli, Victoria Yanulevskaya, Esa Rahtu, Janne Heikkilä, Nicu Sebe

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Affordances in Video Surveillance.

Agheleh Yaghoobi, Hamed Rezazadegan Tavakoli, Juha Röning

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience.

Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Stochastic bottom-up fixation prediction and saccade generation.

Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä

Image Vis. Comput., 2013

Saliency Detection Using Joint Temporal and Spatial Decorrelation.

Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä

Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

Analysis of Scores, Datasets, and Models in Visual Saliency Prediction.

Ali Borji, Hamed Rezazadegan Tavakoli, Dicky N. Sihite, Laurent Itti

Proceedings of the IEEE International Conference on Computer Vision, 2013

Spherical Center-Surround for Video Saliency Detection Using Sparse Sampling.

Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2013

2012

Temporal Saliency for Fast Motion Detection.

Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä

Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

2011

Fast and Efficient Saliency Detection Using Sparse Sampling and Kernel Density Estimation.

Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

2010

Study of gabor and local binary patterns for retinal image analysis.

Hamed Rezazadegan Tavakoli, Hamid-Reza Pourreza, Saeed Rahati Quchani

Proceedings of the Third International Workshop on Advanced Computational Intelligence, 2010

2009

Automated Center of Radial Distortion Estimation, Using Active Targets.

Hamed Rezazadegan Tavakoli, Hamid Reza Pourreza

Proceedings of the Computer Vision, 2009