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ORCIDHamed Rezazadegan Tavakoli
Hamed R. Tavakoli
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2020 – today
- 2024
[c57]Juuso Korhonen, Rangu Goutham, Hamed R. Tavakoli, Juho Kannala:
Efficient NeRF Optimization - Not All Samples Remain Equally Hard. ECCV (36) 2024: 198-213- [c56]Yue Jiang
, Zixin Guo, Hamed Rezazadegan Tavakoli, Luis A. Leiva, Antti Oulasvirta:
EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning. UIST 2024: 47:1-47:15 - [i29]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 abs/2401.10732 (2024) - [i28]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 abs/2401.10761 (2024) - [i27]Yue Jiang, Luis A. Leiva, Paul R. B. Houssel, Hamed R. Tavakoli, Julia Kylmälä, Antti Oulasvirta:
UEyes: An Eye-Tracking Dataset across User Interface Types. CoRR abs/2402.05202 (2024) - [i26]Yue Jiang, Zixin Guo, Hamed Rezazadegan Tavakoli, Luis A. Leiva, Antti Oulasvirta:
EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning. CoRR abs/2404.10163 (2024) - [i25]Juuso Korhonen, Rangu Goutham, Hamed R. Tavakoli, Juho Kannala:
Efficient NeRF Optimization - Not All Samples Remain Equally Hard. CoRR abs/2408.03193 (2024) - [i24]Andrey Moskalenko, Alexey Bryncev, Dmitriy S. Vatolin, Radu Timofte, Gen Zhan, Li Yang, Yunlong Tang, Yiting Liao, Jiongzhi Lin, Baitao Huang, Morteza Moradi, Mohammad Moradi, Francesco Rundo, Concetto Spampinato, Ali Borji, Simone Palazzo, Yuxin Zhu, Yinan Sun, Huiyu Duan, Yuqin Cao, Ziheng Jia, Qiang Hu, Xiongkuo Min, Guangtao Zhai, Hao Fang, Runmin Cong, Xiankai Lu, Xiaofei Zhou, Wei Zhang, Chunyu Zhao, Wentao Mu, Tao Deng, Hamed R. Tavakoli:
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results. CoRR abs/2409.14827 (2024) - 2023
- [c55]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: 709-714 - [c54]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: 285:1-285:21 - [c53]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: 170-175 - [c52]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: 10-19 - [d1]Yue Jiang, Luis A. Leiva, Hamed Rezazadegan Tavakoli, Paul R. B. Houssel, Julia Kylmälä, Antti Oulasvirta:
UEyes: Understanding Visual Saliency across User Interface Types. Zenodo, 2023
- 2022
- [j7]Samad Zabihi, Hamed R. Tavakoli, Ali Borji, Eghbal G. Mansoori:
A compact deep architecture for real-time saliency prediction. Signal Process. Image Commun. 104: 116671 (2022) - [j6]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): 3203-3216 (2022) - [c51]María Santamaría, Ruiying Yang, Francesco Cricri, Honglei Zhang, Jani Lainema, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Miska M. Hannuksela:
Overfitting multiplier parameters for content-adaptive post-filtering in video coding. EUVIP 2022: 1-6 - [c50]Honglei Zhang, Francesco Cricri, Nannan Zou, Hamed R. Tavakoli, Miska M. Hannuksela:
Adaptive Multi-Scale Progressive Probability Model for Lossless Image Compression. ICIP 2022: 721-725 - [c49]Rangu Goutham, Homayun Afrabandpey, Francesco Cricri, Honglei Zhang, Emre Aksu, Miska M. Hannuksela, Hamed R. Tavakoli:
Stochastic Binary-Ternary Quantization for Communication Efficient Federated Computation. ICIP 2022: 2097-2101 - [c48]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: 3411-3415 - [c47]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: 1-4 - [c46]Peter Fasogbon, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Emre Aksu:
TMD: Transformed Mesh Decoder for Mesh Animation. ICPR 2022: 3829-3836 - [c45]Nannan Zou, Francesco Cricri, Honglei Zhang, Hamed R. Tavakoli, Miska M. Hannuksela, Esa Rahtu:
The Lottery Ticket Adaptation for Neural Video Coding. ISM 2022: 141-145 - [c44]Homayun Afrabandpey, Rangu Goutham, Honglei Zhang, Francesco Criri, Emre Aksu, Hamed R. Tavakoli:
On the Importance of Temporal Dependencies of Weight Updates in Communication Efficient Federated Learning. VCIP 2022: 1-5 - [i23]Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela:
Leveraging progressive model and overfitting for efficient learned image compression. CoRR abs/2210.04112 (2022) - 2021
- [j5]Alexandre Bruckert, Hamed R. Tavakoli, Zhi Liu, Marc Christie, Olivier Le Meur:
Deep saliency models : The quest for the loss function. Neurocomputing 453: 693-704 (2021) - [c43]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Learned Video Compression With Intra-Guided Enhancement and Implicit Motion Information. CVPR Workshops 2021: 1870-1874 - [c42]Homayun Afrabandpey, Anton Muravev, Hamed R. Tavakoli, Honglei Zhang, Francesco Cricri, Moncef Gabbouj, Emre Aksu:
Mind The Structure: Adopting Structural Information For Deep Neural Network Compression. ICIP 2021: 3532-3536 - [c41]Hamed R. Tavakoli, Joachim Wabnig, Francesco Cricri, Honglei Zhang, Emre Aksu, Iraj Saniee:
Hybrid Pruning And Sparsification. ICIP 2021: 3542-3546 - [c40]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: 1-6 - [c39]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: 217-225 - [c38]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: 235-239 - [c37]Nannan Zou, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Adaptation and Attention for Neural Video Coding. ISM 2021: 240-244 - [c36]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: 1-5 - [i22]Luis A. Leiva, Yunfei Xue, Avya Bansal, Hamed R. Tavakoli, Tugçe Köroglu, Niraj Ramesh Dayama, Antti Oulasvirta:
Understanding Visual Saliency in Mobile User Interfaces. CoRR abs/2101.09176 (2021) - [i21]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu:
Learned Image Coding for Machines: A Content-Adaptive Approach. CoRR abs/2108.09992 (2021) - [i20]Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Nannan Zou, Emre Aksu, Miska M. Hannuksela:
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model. CoRR abs/2108.10551 (2021) - [i19]Nannan Zou, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Adaptation and Attention for Neural Video Coding. CoRR abs/2112.08767 (2021) - 2020
- [j4]Marcella Cornia, Lorenzo Baraldi, Hamed R. Tavakoli, Rita Cucchiara:
A unified cycle-consistent neural model for text and image retrieval. Multim. Tools Appl. 79(35-36): 25697-25721 (2020) - [c35]Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault:
Image Captioning Through Image Transformer. ACCV (4) 2020: 153-169 - [c34]Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Nannan Zou, Emre Aksu, Miska M. Hannuksela:
Lossless Image Compression Using a Multi-scale Progressive Statistical Model. ACCV (3) 2020: 609-622 - [c33]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
End-to-End Learning for Video Frame Compression with Self-Attention. CVPR Workshops 2020: 580-584 - [c32]Hamed Rezazadegan Tavakoli, Ali Borji, Juho Kannala, Esa Rahtu:
Deep Audio-Visual Saliency: Baseline Model and Data. ETRA Short Papers 2020: 23:1-23:5 - [c31]Luis A. Leiva, Yunfei Xue, Avya Bansal, Hamed R. Tavakoli, Tugçe Köroglu, Jingzhou Du, Niraj Ramesh Dayama, Antti Oulasvirta:
Understanding Visual Saliency in Mobile User Interfaces. MobileHCI 2020: 3:1-3:12 - [c30]Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris, Mohammad Hosseini:
AI4TV 2020: 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery. ACM Multimedia 2020: 4756-4757 - [c29]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska M. Hannuksela, Emre Aksu, Esa Rahtu:
L2C - Learning to Learn to Compress. MMSP 2020: 1-6 - [c28]Zakaria Laskar, Iaroslav Melekhov, Hamed R. Tavakoli, Juha Ylioinas:
Geometric Image Correspondence Verification by Dense Pixel Matching. WACV 2020: 2510-2519 - [e2]Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris, Mohammad Hosseini:
AI4TV '20: Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery, Seattle, WA, USA, October 2, 2020. ACM 2020, ISBN 978-1-4503-8146-8 [contents] - [i18]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
End-to-End Learning for Video Frame Compression with Self-Attention. CoRR abs/2004.09226 (2020) - [i17]Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault:
Image Captioning through Image Transformer. CoRR abs/2004.14231 (2020) - [i16]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska M. Hannuksela, Emre Aksu, Esa Rahtu:
L2C - Learning to Learn to Compress. CoRR abs/2007.16054 (2020) - [i15]Samad Zabihi, Hamed Rezazadegan Tavakoli, Ali Borji:
A Compact Deep Architecture for Real-time Saliency Prediction. CoRR abs/2008.13227 (2020)
2010 – 2019
- 2019
- [c27]Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault:
Understanding and Visualizing Deep Visual Saliency Models. CVPR 2019: 10206-10215 - [c26]Mohammad Tavakolian, Hamed Rezazadegan Tavakoli, Abdenour Hadid:
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation. ICCV 2019: 8019-8028 - [c25]Sen He, Hamed Rezazadegan Tavakoli, Ali Borji, Nicolas Pugeault:
Human Attention in Image Captioning: Dataset and Analysis. ICCV 2019: 8528-8537 - [c24]Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris:
AI4TV 2019: 1st International Workshop on AI for Smart TV Content Production, Access and Delivery. ACM Multimedia 2019: 2716-2717 - [c23]Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji:
Digging Deeper Into Egocentric Gaze Prediction. WACV 2019: 273-282 - [c22]Zakaria Laskar, Hamed Rezazadegan Tavakoli, Juho Kannala:
Semantic Matching by Weakly Supervised 2D Point Set Registration. WACV 2019: 1061-1069 - [e1]Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris:
Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery, AI4TV@MM 2019, Nice, France, October 21, 2019. ACM 2019, ISBN 978-1-4503-6917-6 [contents] - [i14]Zakaria Laskar, Hamed R. Tavakoli, Juho Kannala:
Semantic Matching by Weakly Supervised 2D Point Set Registration. CoRR abs/1901.08341 (2019) - [i13]Sen He, Hamed R. Tavakoli, Ali Borji, Nicolas Pugeault:
A Synchronized Multi-Modal Attention-Caption Dataset and Analysis. CoRR abs/1903.02499 (2019) - [i12]Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault:
Understanding and Visualizing Deep Visual Saliency Models. CoRR abs/1903.02501 (2019) - [i11]Hamed R. Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji:
Digging Deeper into Egocentric Gaze Prediction. CoRR abs/1904.06090 (2019) - [i10]Zakaria Laskar, Iaroslav Melekhov, Hamed R. Tavakoli, Juha Ylioinas, Juho Kannala:
Geometric Image Correspondence Verification by Dense Pixel Matching. CoRR abs/1904.06882 (2019) - [i9]Marco Filetti, Hamed R. Tavakoli, Niklas Ravaja, Giulio Jacucci:
PeyeDF: an Eye-Tracking Application for Reading and Self-Indexing Research. CoRR abs/1904.12152 (2019) - [i8]Hamed R. Tavakoli, Ali Borji, Esa Rahtu, Juho Kannala:
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction. CoRR abs/1905.10693 (2019) - [i7]Alexandre Bruckert, Hamed R. Tavakoli, Zhi Liu, Marc Christie, Olivier Le Meur:
Deep Saliency Models : The Quest For The Loss Function. CoRR abs/1907.02336 (2019) - 2018
- [j3]Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen:
Image and Video Captioning with Augmented Neural Architectures. IEEE Multim. 25(2): 34-46 (2018) - [c21]Marcella Cornia, Lorenzo Baraldi, Hamed R. Tavakoli, Rita Cucchiara:
Towards Cycle-Consistent Models for Text and Image Retrieval. ECCV Workshops (4) 2018: 687-691 - [c20]Hamed R. Tavakoli, Ali Borji, Rao Muhammad Anwer, Esa Rahtu, Juho Kannala:
Bottom-Up Attention Guidance for Recurrent Image Recognition. ICIP 2018: 3004-3008 - [c19]Mats Sjöberg, Hamed R. Tavakoli, Zhicun Xu, Héctor Laria Mantecón, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2018. TRECVID 2018 - [i6]Ali Borji, Hamed R. Tavakoli, Zoya Bylinskii:
Bottom-up Attention, Models of. CoRR abs/1810.05680 (2018) - 2017
- [j2]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: 10-18 (2017) - [c18]Julius Wang, Hamed R. Tavakoli, Jorma Laaksonen:
Fixation Prediction in Videos Using Unsupervised Hierarchical Features. CVPR Workshops 2017: 2225-2232 - [c17]Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen:
Saliency Revisited: Analysis of Mouse Movements Versus Fixations. CVPR 2017: 6354-6362 - [c16]Hamed R. Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen:
Paying Attention to Descriptions Generated by Image Captioning Models. ICCV 2017: 2506-2515 - [i5]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 abs/1704.02218 (2017) - [i4]Hamed Rezazadegan Tavakoli, Jorma Laaksonen:
Prominent Object Detection and Recognition: A Saliency-based Pipeline. CoRR abs/1704.07402 (2017) - [i3]Hamed Rezazadegan Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen:
Can Saliency Information Benefit Image Captioning Models? CoRR abs/1704.07434 (2017) - [i2]Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen:
Saliency Revisited: Analysis of Mouse Movements versus Fixations. CoRR abs/1705.10546 (2017) - 2016
- [c15]Hamed Rezazadegan Tavakoli, Jorma Laaksonen:
Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models. ACCV Workshops (1) 2016: 287-302 - [c14]Mohamed Soliman, Hamed Rezazadegan Tavakoli, Jorma Laaksonen:
Towards gaze-based video annotation. IPTA 2016: 1-5 - [c13]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: 576-585 - [c12]Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen:
Exploiting Scene Context for Image Captioning. iV&L-MM@MM 2016: 1-8 - [c11]Iman Alikhani, Hamed Rezazadegan Tavakoli, Esa Rahtu, Jorma Laaksonen:
On the Contribution of Saliency in Visual Tracking. VISIGRAPP (4: VISAPP) 2016: 17-21 - [i1]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 abs/1610.06449 (2016) - 2014
- [c10]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: 124-134 - [c9]Agheleh Yaghoobi, Hamed Rezazadegan Tavakoli, Juha Röning:
Affordances in Video Surveillance. ECCV Workshops (2) 2014: 403-405 - [c8]Hamed Rezazadegan Tavakoli, Victoria Yanulevskaya, Esa Rahtu, Janne Heikkilä, Nicu Sebe:
Emotional Valence Recognition, Analysis of Salience and Eye Movements. ICPR 2014: 4666-4671 - 2013
- [j1]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Stochastic bottom-up fixation prediction and saccade generation. Image Vis. Comput. 31(9): 686-693 (2013) - [c7]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Spherical Center-Surround for Video Saliency Detection Using Sparse Sampling. ACIVS 2013: 695-704 - [c6]Ali Borji, Hamed Rezazadegan Tavakoli, Dicky N. Sihite, Laurent Itti:
Analysis of Scores, Datasets, and Models in Visual Saliency Prediction. ICCV 2013: 921-928 - [c5]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Saliency Detection Using Joint Temporal and Spatial Decorrelation. SCIA 2013: 707-717 - 2012
- [c4]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Temporal Saliency for Fast Motion Detection. ACCV Workshops (1) 2012: 321-326 - 2011
- [c3]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Fast and Efficient Saliency Detection Using Sparse Sampling and Kernel Density Estimation. SCIA 2011: 666-675 - 2010
- [c2]Hamed Rezazadegan Tavakoli, Hamid-Reza Pourreza, Saeed Rahati Quchani:
Study of gabor and local binary patterns for retinal image analysis. IWACI 2010: 527-532
2000 – 2009
- 2009
- [c1]Hamed Rezazadegan Tavakoli, Hamid Reza Pourreza:
Automated Center of Radial Distortion Estimation, Using Active Targets. ACCV (2) 2009: 325-334
Coauthor Index
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