Hamed Rezazadegan Tavakoli

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 33

Top Topics

Semantic Segmentation

Visual Saliency

Top Venues

Publications

Jukka I. Ahonen, Nam Le, Honglei Zhang, Antti Hallapuro, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu
NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines. CoRR (2024)
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu
Bridging the gap between image coding for machines and humans. CoRR (2024)
Yue Jiang, Zixin Guo, Hamed Rezazadegan Tavakoli, Luis A. Leiva, Antti Oulasvirta
EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning. CoRR (2024)
Honglei Zhang, Nam Le, Francesco Cricri, Jukka I. Ahonen, Hamed Rezazadegan Tavakoli
Stabilizing the Convolution Operations for Neural Network-Based Image and Video Codecs for Machines. ICME Workshops (2023)
Jukka I. Ahonen, Nam Le, Honglei Zhang, Antti Hallapuro, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu
NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines. ISM (2023)
Yue Jiang, Luis A. Leiva, Hamed Rezazadegan Tavakoli, Paul R. B. Houssel, Julia Kylmälä, Antti Oulasvirta
UEyes: Understanding Visual Saliency across User Interface Types. CHI (2023)
Amirhossein Hassankhani, Hamed Rezazadegan Tavakoli, Esa Rahtu
Momentum Adapt: Robust Unsupervised Adaptation for Improving Temporal Consistency in Video Semantic Segmentation During Test-Time. BMVC (2023)
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
Overview of the Neural Network Compression and Representation (NNR) Standard. IEEE Trans. Circuits Syst. Video Technol. 32 (5) (2022)
Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela
Leveraging progressive model and overfitting for efficient learned image compression. CoRR (2022)
Jaakko Laitinen, Alexandre Mercat, Jarno Vanne, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre Aksu, Miska M. Hannuksela
Efficient Topology Coding and Payload Partitioning Techniques for Neural Network Compression (NNC) Standard. ICME Workshops (2022)
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu
Bridging the Gap Between Image Coding for Machines and Humans. ICIP (2022)
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu
Learned Image Coding for Machines: A Content-Adaptive Approach. CoRR (2021)
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu
Learned Image Coding for Machines: A Content-Adaptive Approach. ICME (2021)
Joni Seppälä, Honglei Zhang, Nam Le, Ramin Ghaznavi Youvalari, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu
Enhancing Image Coding for Machines with Compressed Feature Residuals. ISM (2021)
Jukka I. Ahonen, Ramin Ghaznavi Youvalari, Nam Le, Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu
Learned Enhancement Filters for Image Coding for Machines. ISM (2021)
Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, María Santamaría, Yat-Hong Lam, Miska M. Hannuksela
Learn to overfit better: finding the important parameters for learned image compression. VCIP (2021)
Samad Zabihi, Hamed Rezazadegan Tavakoli, Ali Borji
A Compact Deep Architecture for Real-time Saliency Prediction. CoRR (2020)
Hamed Rezazadegan Tavakoli, Ali Borji, Juho Kannala, Esa Rahtu
Deep Audio-Visual Saliency: Baseline Model and Data. ETRA Short Papers (2020)
Mohammad Tavakolian, Hamed Rezazadegan Tavakoli, Abdenour Hadid
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation. ICCV (2019)
Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji
Digging Deeper Into Egocentric Gaze Prediction. WACV (2019)
Sen He, Hamed Rezazadegan Tavakoli, Ali Borji, Nicolas Pugeault
Human Attention in Image Captioning: Dataset and Analysis. ICCV (2019)
Zakaria Laskar, Hamed Rezazadegan Tavakoli, Juho Kannala
Semantic Matching by Weakly Supervised 2D Point Set Registration. WACV (2019)
Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
Image and Video Captioning with Augmented Neural Architectures. IEEE Multim. 25 (2) (2018)
Hamed Rezazadegan Tavakoli, Jorma Laaksonen
Prominent Object Detection and Recognition: A Saliency-based Pipeline. CoRR (2017)
Hamed Rezazadegan Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen
Can Saliency Information Benefit Image Captioning Models? CoRR (2017)
Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features. Neurocomputing 244 (2017)
Hamed Rezazadegan Tavakoli, Jorma Laaksonen, Esa Rahtu
Investigating Natural Image Pleasantness Recognition using Deep Features and Eye Tracking for Loosely Controlled Human-computer Interaction. CoRR (2017)
Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
Exploiting Scene Context for Image Captioning. iV&L-MM@MM (2016)
Hamed Rezazadegan Tavakoli, Jorma Laaksonen
Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models. ACCV Workshops (1) (2016)
Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features. CoRR (2016)
Mohamed Soliman, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
Towards gaze-based video annotation. IPTA (2016)
Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski
Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations. ISVC (2) (2016)
Iman Alikhani, Hamed Rezazadegan Tavakoli, Esa Rahtu, Jorma Laaksonen
On the Contribution of Saliency in Visual Tracking. VISIGRAPP (4: VISAPP) (2016)
Hamed Rezazadegan Tavakoli, Victoria Yanulevskaya, Esa Rahtu, Janne Heikkilä, Nicu Sebe
Emotional Valence Recognition, Analysis of Salience and Eye Movements. ICPR (2014)
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience. ECCV Workshops (2) (2014)
Agheleh Yaghoobi, Hamed Rezazadegan Tavakoli, Juha Röning
Affordances in Video Surveillance. ECCV Workshops (2) (2014)
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
Saliency Detection Using Joint Temporal and Spatial Decorrelation. SCIA (2013)
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
Spherical Center-Surround for Video Saliency Detection Using Sparse Sampling. ACIVS (2013)
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
Stochastic bottom-up fixation prediction and saccade generation. Image Vis. Comput. 31 (9) (2013)
Ali Borji, Hamed Rezazadegan Tavakoli, Dicky N. Sihite, Laurent Itti
Analysis of Scores, Datasets, and Models in Visual Saliency Prediction. ICCV (2013)
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
Temporal Saliency for Fast Motion Detection. ACCV Workshops (1) (2012)
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
Fast and Efficient Saliency Detection Using Sparse Sampling and Kernel Density Estimation. SCIA (2011)
Hamed Rezazadegan Tavakoli, Hamid-Reza Pourreza, Saeed Rahati Quchani
Study of gabor and local binary patterns for retinal image analysis. IWACI (2010)
Hamed Rezazadegan Tavakoli, Hamid Reza Pourreza
Automated Center of Radial Distortion Estimation, Using Active Targets. ACCV (2) (2009)