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ORCIDFarhad Pakdaman
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2020 – today
- 2024
[j12]Farhad Pakdaman
, Moncef Gabbouj:
Channel-Wise Feature Decorrelation for Enhanced Learned Image Compression. IEEE Signal Process. Lett. 31: 1635-1639 (2024)- [j11]Sanaz Nami, Farhad Pakdaman, Mahmoud Reza Hashemi, Shervin Shirmohammadi, Moncef Gabbouj:
Lightweight Multitask Learning for Robust JND Prediction Using Latent Space and Reconstructed Frames. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8657-8671 (2024) - [c9]Li Yu, Yanjun Gao, Farhad Pakdaman, Moncef Gabbouj:
Panoramic Image Inpainting with Gated Convolution and Contextual Reconstruction Loss. ICASSP 2024: 4255-4259 - [i9]Ali Falahati, Mohammad Karim Safavi, Ardavan Elahi, Farhad Pakdaman, Moncef Gabbouj:
Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features. CoRR abs/2401.03195 (2024) - [i8]Farhad Pakdaman, Sanaz Nami, Moncef Gabbouj:
Perceptual Learned Image Compression via End-to-End JND-Based Optimization. CoRR abs/2402.02836 (2024) - [i7]Umut Cem Entok, Firas Laakom, Farhad Pakdaman, Moncef Gabbouj:
Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes. CoRR abs/2402.02922 (2024) - [i6]Li Yu, Yanjun Gao, Farhad Pakdaman, Moncef Gabbouj:
Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss. CoRR abs/2402.02936 (2024) - [i5]Yuxin Xie, Li Yu, Farhad Pakdaman, Moncef Gabbouj:
Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs. CoRR abs/2402.05582 (2024) - [i4]Farhad Pakdaman, Moncef Gabbouj:
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression. CoRR abs/2403.10936 (2024) - 2023
- [j10]Li Yu, Junyang Li, Farhad Pakdaman, Miaogen Ling, Moncef Gabbouj:
MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene Statistics. IEEE Signal Process. Lett. 30: 588-592 (2023) - [j9]Sanaz Nami, Farhad Pakdaman, Mahmoud Reza Hashemi, Shervin Shirmohammadi:
BL-JUNIPER: A CNN-Assisted Framework for Perceptual Video Coding Leveraging Block-Level JND. IEEE Trans. Multim. 25: 5077-5092 (2023) - [c8]Farhad Pakdaman, Moncef Gabbouj:
Comprehensive Complexity Assessment of Emerging Learned Image Compression on CPU and GPU. ICASSP 2023: 1-5 - [c7]Sanaz Nami, Farhad Pakdaman, Mahmoud Reza Hashemi, Shervin Shirmohammadi, Moncef Gabbouj:
MTJND: Multi-Task Deep Learning Framework for Improved JND Prediction. ICIP 2023: 1245-1249 - [c6]Ardavan Elahi, Ali Falahati, Farhad Pakdaman, Mehdi Modarressi, Moncef Gabbouj:
NCOD: Near-Optimum Video Compression for Object Detection. ISCAS 2023: 1-5 - 2022
- [j8]Farhad Pakdaman, Mohammad Ali Adelimanesh, Mahmoud Reza Hashemi:
BLINC: lightweight bimodal learning for low-complexity VVC intra-coding. J. Real Time Image Process. 19(4): 791-807 (2022) - [i3]Farhad Pakdaman, Mohammad Ali Adelimanesh, Mahmoud Reza Hashemi:
BLINC: Lightweight Bimodal Learning for Low-Complexity VVC Intra Coding. CoRR abs/2201.07823 (2022) - [i2]Farhad Pakdaman, Moncef Gabbouj:
Comprehensive Complexity Assessment of Emerging Learned Image Compression on CPU and GPU. CoRR abs/2212.05466 (2022) - 2021
- [j7]Hamed Ahmadi, Saman Zadtootaghaj, Farhad Pakdaman, Mahmoud Reza Hashemi, Shervin Shirmohammadi:
A Skill-Based Visual Attention Model for Cloud Gaming. IEEE Access 9: 12332-12347 (2021) - [j6]Elahe Hosseini, Farhad Pakdaman, Mahmoud Reza Hashemi, Mohammad Ghanbari:
Fine-grain complexity control of HEVC intra prediction in battery-powered video codecs. J. Real Time Image Process. 18(3): 603-618 (2021) - [j5]Farhad Pakdaman, Li Yu, Mahmoud Reza Hashemi, Mohammad Ghanbari, Moncef Gabbouj:
SVM based approach for complexity control of HEVC intra coding. Signal Process. Image Commun. 93: 116177 (2021) - 2020
- [b1]Farhad Pakdaman:
Complexity Reduction and Control Techniques for Power-Constrained Video Coding. University of Tampere, Finland, 2020 - [j4]Farhad Pakdaman, Mahmoud Reza Hashemi, Mohammad Ghanbari:
A low complexity and computationally scalable fast motion estimation algorithm for HEVC. Multim. Tools Appl. 79(17-18): 11639-11666 (2020) - [c5]Farhad Pakdaman, Mohammad Ali Adelimanesh, Moncef Gabbouj, Mahmoud Reza Hashemi:
Complexity Analysis Of Next-Generation VVC Encoding And Decoding. ICIP 2020: 3134-3138 - [c4]Sanaz Nami, Farhad Pakdaman, Mahmoud Reza Hashemi:
Juniper: A Jnd-Based Perceptual Video Coding Framework to Jointly Utilize Saliency and JND. ICME Workshops 2020: 1-6 - [c3]Mehrdad Hosseinnejad Yami, Farhad Pakdaman, Mahmoud Reza Hashemi:
SARA-SDN: state aware resource allocation in SDN to improve QoE in cloud gaming. PV@MMSys 2020: 8-14 - [c2]Paniz Parastar, Farhad Pakdaman, Mahmoud Reza Hashemi:
FRAME-SDN: a fair resource allocation for multiplayer edge-based cloud gaming in SDN. PV@MMSys 2020: 21-27 - [d1]Farhad Pakdaman, Mohammad Ali Adelimanesh, Moncef Gabbouj, Mahmoud Reza Hashemi:
DATASET FOR COMPLEXITY ANALYSIS OF VVC ENCODING AND DECODING. IEEE DataPort, 2020
- [i1]Farhad Pakdaman, Mohammad Ali Adelimanesh, Moncef Gabbouj, Mahmoud Reza Hashemi:
Complexity Analysis Of Next-Generation VVC Encoding and Decoding. CoRR abs/2005.10801 (2020)
2010 – 2019
- 2019
- [j3]Elahe Hosseini, Farhad Pakdaman, Mahmoud Reza Hashemi, Mohammad Ghanbari:
A computationally scalable fast intra coding scheme for HEVC video encoder. Multim. Tools Appl. 78(9): 11607-11630 (2019) - 2018
- [c1]Farhad Pakdaman, Moncef Gabbouj, Mahmoud Reza Hashemi, Mohammad Ghanbari:
Fast Motion Estimation Algorithm with Efficient Memory Access for HEVC Hardware Encoders. EUVIP 2018: 1-5 - 2017
- [j2]Farhad Pakdaman, Mahmoud Reza Hashemi, Mohammad Ghanbari:
Fast and efficient intra mode decision for HEVC, based on dual-tree complex wavelet. Multim. Tools Appl. 76(7): 9891-9906 (2017) - 2015
- [j1]Farhad Pakdaman, Abbas Mazloumi, Mehdi Modarressi:
Integrated circuit-packet switching NoC with efficient circuit setup mechanism. J. Supercomput. 71(8): 2787-2807 (2015)
Coauthor Index
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