Automated Center of Radial Distortion Estimation, Using Active Targets. - Hamed Rezazadegan Tavakoli; Hamid Reza Pourreza (ACCV (2), 2009)

Study of gabor and local binary patterns for retinal image analysis. - Hamed Rezazadegan Tavakoli; Hamid-Reza Pourreza; Saeed Rahati Quchani (IWACI, 2010)

Fast and Efficient Saliency Detection Using Sparse Sampling and Kernel Density Estimation. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (SCIA, 2011)

Temporal Saliency for Fast Motion Detection. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (ACCV Workshops (1), 2012)

Spherical Center-Surround for Video Saliency Detection Using Sparse Sampling. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (ACIVS, 2013)

Analysis of Scores, Datasets, and Models in Visual Saliency Prediction. - Ali Borji; Hamed Rezazadegan Tavakoli; Dicky N. Sihite; Laurent Itti (ICCV, 2013)

Saliency Detection Using Joint Temporal and Spatial Decorrelation. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (SCIA, 2013)

Stochastic bottom-up fixation prediction and saccade generation. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (Image Vis. Comput., 2013)

Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (ECCV Workshops (2), 2014)

Affordances in Video Surveillance. - Agheleh Yaghoobi; Hamed Rezazadegan Tavakoli; Juha Röning (ECCV Workshops (2), 2014)

Emotional Valence Recognition, Analysis of Salience and Eye Movements. - Hamed Rezazadegan Tavakoli; Victoria Yanulevskaya; Esa Rahtu; Janne Heikkilä; Nicu Sebe (ICPR, 2014)

Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models. - Hamed Rezazadegan Tavakoli; Jorma Laaksonen (ACCV Workshops (1), 2016)

Towards gaze-based video annotation. - Mohamed Soliman; Hamed Rezazadegan Tavakoli; Jorma Laaksonen (IPTA, 2016)

Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations. - Hamed Rezazadegan Tavakoli; Hanieh Poostchi; Jaakko Peltonen; Jorma Laaksonen; Samuel Kaski (ISVC (2), 2016)

Exploiting Scene Context for Image Captioning. - Rakshith Shetty; Hamed Rezazadegan Tavakoli; Jorma Laaksonen (iV&L-MM@MM, 2016)

On the Contribution of Saliency in Visual Tracking. - Iman Alikhani; Hamed Rezazadegan Tavakoli; Esa Rahtu; Jorma Laaksonen (VISIGRAPP (4: VISAPP), 2016)

Saliency Revisited: Analysis of Mouse Movements Versus Fixations. - Hamed R. Tavakoli; Fawad Ahmed; Ali Borji; Jorma Laaksonen (CVPR, 2017)

Fixation Prediction in Videos Using Unsupervised Hierarchical Features. - Julius Wang; Hamed R. Tavakoli; Jorma Laaksonen (CVPR Workshops, 2017)

Paying Attention to Descriptions Generated by Image Captioning Models. - Hamed R. Tavakoli; Rakshith Shetty; Ali Borji; Jorma Laaksonen (ICCV, 2017)

Prominent Object Detection and Recognition: A Saliency-based Pipeline. - Hamed Rezazadegan Tavakoli; 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)

Can Saliency Information Benefit Image Captioning Models? - Hamed Rezazadegan Tavakoli; Rakshith Shetty; Ali Borji; Jorma Laaksonen (CoRR, 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)

Towards Cycle-Consistent Models for Text and Image Retrieval. - Marcella Cornia; Lorenzo Baraldi 001; Hamed R. Tavakoli; Rita Cucchiara (ECCV Workshops (4), 2018)

Bottom-Up Attention Guidance for Recurrent Image Recognition. - Hamed R. Tavakoli; Ali Borji; Rao Muhammad Anwer; Esa Rahtu; Juho Kannala (ICIP, 2018)

PicSOM Experiments in TRECVID 2018. - Mats Sjöberg; Hamed R. Tavakoli; Zhicun Xu; Héctor Laria Mantecón; Jorma Laaksonen (TRECVID, 2018)

Bottom-up Attention, Models of. - Ali Borji; Hamed R. Tavakoli; Zoya Bylinskii (CoRR, 2018)

Image and Video Captioning with Augmented Neural Architectures. - Rakshith Shetty; Hamed Rezazadegan Tavakoli; Jorma Laaksonen (IEEE Multim., 2018)

Understanding and Visualizing Deep Visual Saliency Models. - Sen He 001; Hamed R. Tavakoli; Ali Borji; Yang Mi; Nicolas Pugeault (CVPR, 2019)

Human Attention in Image Captioning: Dataset and Analysis. - Sen He 001; Hamed Rezazadegan Tavakoli; Ali Borji; Nicolas Pugeault (ICCV, 2019)

AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation. - Mohammad Tavakolian; Hamed Rezazadegan Tavakoli; Abdenour Hadid (ICCV, 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 (ACM Multimedia, 2019)

Semantic Matching by Weakly Supervised 2D Point Set Registration. - Zakaria Laskar; Hamed Rezazadegan Tavakoli; Juho Kannala (WACV, 2019)

Digging Deeper Into Egocentric Gaze Prediction. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Juho Kannala; Ali Borji (WACV, 2019)

A Synchronized Multi-Modal Attention-Caption Dataset and Analysis. - Sen He 001; Hamed R. Tavakoli; Ali Borji; Nicolas Pugeault (CoRR, 2019)

Geometric Image Correspondence Verification by Dense Pixel Matching. - Zakaria Laskar; Iaroslav Melekhov; Hamed R. Tavakoli; Juha Ylioinas; 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)

DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction. - Hamed R. Tavakoli; Ali Borji; Esa Rahtu; Juho Kannala (CoRR, 2019)

Image Captioning Through Image Transformer. - Sen He 001; Wentong Liao; Hamed R. Tavakoli; Michael Ying Yang; Bodo Rosenhahn; Nicolas Pugeault (ACCV (4), 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 (ACCV (3), 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 (CVPR Workshops, 2020)

Deep Audio-Visual Saliency: Baseline Model and Data. - Hamed Rezazadegan Tavakoli; Ali Borji; Juho Kannala; Esa Rahtu (ETRA Short Papers, 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 (MobileHCI, 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 002 (ACM Multimedia, 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 (MMSP, 2020)

Geometric Image Correspondence Verification by Dense Pixel Matching. - Zakaria Laskar; Iaroslav Melekhov; Hamed R. Tavakoli; Juha Ylioinas (WACV, 2020)

A Compact Deep Architecture for Real-time Saliency Prediction. - Samad Zabihi; Hamed Rezazadegan Tavakoli; Ali Borji (CoRR, 2020)

A unified cycle-consistent neural model for text and image retrieval. - Marcella Cornia; Lorenzo Baraldi 001; Hamed R. Tavakoli; Rita Cucchiara (Multim. Tools Appl., 2020)

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 (CVPR Workshops, 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 (ICIP, 2021)

Hybrid Pruning And Sparsification. - Hamed R. Tavakoli; Joachim Wabnig; Francesco Cricri; Honglei Zhang; Emre Aksu; Iraj Saniee (ICIP, 2021)

Learned Image Coding for Machines: A Content-Adaptive Approach. - Nam Le 003; Honglei Zhang; Francesco Cricri; Ramin Ghaznavi Youvalari; Hamed Rezazadegan Tavakoli; Esa Rahtu (ICME, 2021)

Learned Enhancement Filters for Image Coding for Machines. - Jukka I. Ahonen; Ramin Ghaznavi Youvalari; Nam Le 003; Honglei Zhang; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (ISM, 2021)

Enhancing Image Coding for Machines with Compressed Feature Residuals. - Joni Seppälä; Honglei Zhang; Nam Le 003; Ramin Ghaznavi Youvalari; Francesco Cricri; Hamed Rezazadegan Tavakoli; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (ISM, 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 (ISM, 2021)

Learn to overfit better: finding the important parameters for learned image compression. - Honglei Zhang; Francesco Cricri; Hamed Rezazadegan Tavakoli; María Santamaría 001; Yat-Hong Lam; Miska M. Hannuksela (VCIP, 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)

Deep saliency models : The quest for the loss function. - Alexandre Bruckert; Hamed R. Tavakoli; Zhi Liu 003; Marc Christie; Olivier Le Meur (Neurocomputing, 2021)

Overfitting multiplier parameters for content-adaptive post-filtering in video coding. - María Santamaría 001; Ruiying Yang; Francesco Cricri; Honglei Zhang; Jani Lainema; Ramin Ghaznavi Youvalari; Hamed R. Tavakoli; Miska M. Hannuksela (EUVIP, 2022)

Bridging the Gap Between Image Coding for Machines and Humans. - Nam Le 003; Honglei Zhang; Francesco Cricri; Ramin Ghaznavi Youvalari; Hamed Rezazadegan Tavakoli; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (ICIP, 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 (ICIP, 2022)

Adaptive Multi-Scale Progressive Probability Model for Lossless Image Compression. - Honglei Zhang; Francesco Cricri; Nannan Zou; Hamed R. Tavakoli; Miska M. Hannuksela (ICIP, 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 (ICME Workshops, 2022)

TMD: Transformed Mesh Decoder for Mesh Animation. - Peter Fasogbon; Honglei Zhang; Francesco Cricri; Hamed R. Tavakoli; Emre Aksu (ICPR, 2022)

The Lottery Ticket Adaptation for Neural Video Coding. - Nannan Zou; Francesco Cricri; Honglei Zhang; Hamed R. Tavakoli; Miska M. Hannuksela; Esa Rahtu (ISM, 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 (VCIP, 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)

A compact deep architecture for real-time saliency prediction. - Samad Zabihi; Hamed R. Tavakoli; Ali Borji; Eghbal G. Mansoori (Signal Process. Image Commun., 2022)

Overview of the Neural Network Compression and Representation (NNR) Standard. - Heiner Kirchhoffer; Paul Haase; Wojciech Samek; Karsten Müller 001; Hamed Rezazadegan Tavakoli; Francesco Cricri; Emre B. Aksu; Miska M. Hannuksela; Wei Jiang 001; Wei Wang 311; Shan Liu 001; Swayambhoo Jain; et al. (IEEE Trans. Circuits Syst. Video Technol., 2022)

Momentum Adapt: Robust Unsupervised Adaptation for Improving Temporal Consistency in Video Semantic Segmentation During Test-Time. - Amirhossein Hassankhani; Hamed Rezazadegan Tavakoli; Esa Rahtu (BMVC, 2023)

UEyes: Understanding Visual Saliency across User Interface Types. - Yue Jiang 002; Luis A. Leiva; Hamed Rezazadegan Tavakoli; Paul R. B. Houssel; Julia Kylmälä; Antti Oulasvirta (CHI, 2023)

Stabilizing the Convolution Operations for Neural Network-Based Image and Video Codecs for Machines. - Honglei Zhang; Nam Le 003; Francesco Cricri; Jukka I. Ahonen; Hamed Rezazadegan Tavakoli (ICME Workshops, 2023)

NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines. - Jukka I. Ahonen; Nam Le 003; Honglei Zhang; Antti Hallapuro; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (ISM, 2023)

UEyes: Understanding Visual Saliency across User Interface Types. - Yue Jiang 002; Luis A. Leiva; Hamed Rezazadegan Tavakoli; Paul R. B. Houssel; Julia Kylmälä; Antti Oulasvirta (Zenodo, 2023)

Efficient NeRF Optimization - Not All Samples Remain Equally Hard. - Juuso Korhonen; Rangu Goutham; Hamed R. Tavakoli; Juho Kannala (ECCV (36), 2024)

AIM 2024 Challenge on Video Saliency Prediction: Methods and Results. - Andrey Moskalenko; Alexey Bryncev; Dmitry S. Vatolin; Radu Timofte; Gen Zhan; Li Yang; Yunlong Tang 002; Yiting Liao; Jiongzhi Lin; Baitao Huang; Morteza Moradi 001; Mohammad Moradi 001; et al. (ECCV Workshops (10), 2024)

EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning. - Yue Jiang 002; Zixin Guo; Hamed Rezazadegan Tavakoli; Luis A. Leiva; Antti Oulasvirta (UIST, 2024)

UEyes: An Eye-Tracking Dataset across User Interface Types. - Yue Jiang 002; Luis A. Leiva; Paul R. B. Houssel; Hamed R. Tavakoli; Julia Kylmälä; Antti Oulasvirta (CoRR, 2024)

NN-VVC: A Hybrid Learned-Conventional Video Codec Targeting Humans and Machines. - Jukka I. Ahonen; Nam Le 003; Honglei Zhang; Antti Hallapuro; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (Int. J. Semantic Comput., 2024)

P2U: Progressive Precision Update For Efficient Model Distribution. - Homayun Afrabandpey; Hamed Rezazadegan Tavakoli (CoRR, 2025)