Integrated circuit-packet switching NoC with efficient circuit setup mechanism. - Farhad Pakdaman; Abbas Mazloumi; Mehdi Modarressi (J. Supercomput., 2015)

Fast and efficient intra mode decision for HEVC, based on dual-tree complex wavelet. - Farhad Pakdaman; Mahmoud Reza Hashemi; Mohammad Ghanbari 001 (Multim. Tools Appl., 2017)

Fast Motion Estimation Algorithm with Efficient Memory Access for HEVC Hardware Encoders. - Farhad Pakdaman; Moncef Gabbouj; Mahmoud Reza Hashemi; Mohammad Ghanbari 001 (EUVIP, 2018)

A computationally scalable fast intra coding scheme for HEVC video encoder. - Elahe Hosseini; Farhad Pakdaman; Mahmoud Reza Hashemi; Mohammad Ghanbari 001 (Multim. Tools Appl., 2019)

Complexity Analysis Of Next-Generation VVC Encoding And Decoding. - Farhad Pakdaman; Mohammad Ali Adelimanesh; Moncef Gabbouj; Mahmoud Reza Hashemi (ICIP, 2020)

Juniper: A Jnd-Based Perceptual Video Coding Framework to Jointly Utilize Saliency and JND. - Sanaz Nami; Farhad Pakdaman; Mahmoud Reza Hashemi (ICME Workshops, 2020)

FRAME-SDN: a fair resource allocation for multiplayer edge-based cloud gaming in SDN. - Paniz Parastar; Farhad Pakdaman; Mahmoud Reza Hashemi (PV@MMSys, 2020)

SARA-SDN: state aware resource allocation in SDN to improve QoE in cloud gaming. - Mehrdad Hosseinnejad Yami; Farhad Pakdaman; Mahmoud Reza Hashemi (PV@MMSys, 2020)

A low complexity and computationally scalable fast motion estimation algorithm for HEVC. - Farhad Pakdaman; Mahmoud Reza Hashemi; Mohammad Ghanbari 001 (Multim. Tools Appl., 2020)

Complexity Reduction and Control Techniques for Power-Constrained Video Coding. - Farhad Pakdaman (2020)

DATASET FOR COMPLEXITY ANALYSIS OF VVC ENCODING AND DECODING. - Farhad Pakdaman; Mohammad Ali Adelimanesh; Moncef Gabbouj; Mahmoud Reza Hashemi (IEEE DataPort, 2020)

A Skill-Based Visual Attention Model for Cloud Gaming. - Hamed Ahmadi; Saman Zadtootaghaj; Farhad Pakdaman; Mahmoud Reza Hashemi; Shervin Shirmohammadi (IEEE Access, 2021)

Fine-grain complexity control of HEVC intra prediction in battery-powered video codecs. - Elahe Hosseini; Farhad Pakdaman; Mahmoud Reza Hashemi; Mohammad Ghanbari 001 (J. Real Time Image Process., 2021)

SVM based approach for complexity control of HEVC intra coding. - Farhad Pakdaman; Li Yu 004; Mahmoud Reza Hashemi; Mohammad Ghanbari 001; Moncef Gabbouj (Signal Process. Image Commun., 2021)

BLINC: lightweight bimodal learning for low-complexity VVC intra-coding. - Farhad Pakdaman; Mohammad Ali Adelimanesh; Mahmoud Reza Hashemi (J. Real Time Image Process., 2022)

Comprehensive Complexity Assessment of Emerging Learned Image Compression on CPU and GPU. - Farhad Pakdaman; Moncef Gabbouj (ICASSP, 2023)

MTJND: Multi-Task Deep Learning Framework for Improved JND Prediction. - Sanaz Nami; Farhad Pakdaman; Mahmoud Reza Hashemi; Shervin Shirmohammadi; Moncef Gabbouj (ICIP, 2023)

NCOD: Near-Optimum Video Compression for Object Detection. - Ardavan Elahi; Ali Falahati; Farhad Pakdaman; Mehdi Modarressi; Moncef Gabbouj (ISCAS, 2023)

MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene Statistics. - Li Yu 004; Junyang Li; Farhad Pakdaman; Miaogen Ling; Moncef Gabbouj (IEEE Signal Process. Lett., 2023)

BL-JUNIPER: A CNN-Assisted Framework for Perceptual Video Coding Leveraging Block-Level JND. - Sanaz Nami; Farhad Pakdaman; Mahmoud Reza Hashemi; Shervin Shirmohammadi (IEEE Trans. Multim., 2023)

Panoramic Image Inpainting with Gated Convolution and Contextual Reconstruction Loss. - Li Yu 004; Yanjun Gao; Farhad Pakdaman; Moncef Gabbouj (ICASSP, 2024)

Pixel-Wise Color Constancy Via Smoothness Techniques In Multi-Illuminant Scenes. - Umut Cem Entok; Firas Laakom; Farhad Pakdaman; Moncef Gabbouj (ICIP, 2024)

Perceptual Learned Image Compression via End-to-End JND-Based Optimization. - Farhad Pakdaman; Sanaz Nami; Moncef Gabbouj (ICIP, 2024)

Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-Onns. - Yuxin Xie; Li Yu 004; Farhad Pakdaman; Moncef Gabbouj (ICIP, 2024)

Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features. - Ali Falahati; Mohammad Karim Safavi; Ardavan Elahi; Farhad Pakdaman; Moncef Gabbouj (CoRR, 2024)

Channel-Wise Feature Decorrelation for Enhanced Learned Image Compression. - Farhad Pakdaman; Moncef Gabbouj (IEEE Signal Process. Lett., 2024)

Lightweight Multitask Learning for Robust JND Prediction Using Latent Space and Reconstructed Frames. - Sanaz Nami; Farhad Pakdaman; Mahmoud Reza Hashemi; Shervin Shirmohammadi; Moncef Gabbouj (IEEE Trans. Circuits Syst. Video Technol., 2024)

Randomized PCA forest for approximate k-nearest neighbor search. - Muhammad Rajabinasab; Farhad Pakdaman; Arthur Zimek; Moncef Gabbouj (Expert Syst. Appl., 2025)

Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data. - Faiz Muhammad Chaudhry; Jarno Ralli; Jérôme Leudet; Fahad Sohrab; Farhad Pakdaman; Pierre Corbani; Moncef Gabbouj (IEEE Trans Autom. Sci. Eng., 2025)