Farhad Pakdaman

About Farhad Pakdaman

Farhad Pakdaman, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Mazandaran, specializes in the field of Energy efficient computing, Multimedia Systems, Video compression/processing, Computer Architecture.

His recent articles reflect a diverse array of research interests and contributions to the field:

Channel-wise Feature Decorrelation for Enhanced Learned Image Compression

Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs

Perceptual Learned Image Compression via End-to-End JND-Based Optimization

Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes

Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss

Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features

Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames

MTJND: Multi-Task Deep Learning Framework for Improved JND Prediction

Farhad Pakdaman Information

University

Position

Assistant Professor ; Researcher Tampere University

Citations(all)

218

Citations(since 2020)

208

Cited By

54

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Farhad Pakdaman Skills & Research Interests

Energy efficient computing

Multimedia Systems

Video compression/processing

Computer Architecture

Top articles of Farhad Pakdaman

Channel-wise Feature Decorrelation for Enhanced Learned Image Compression

arXiv preprint arXiv:2403.10936

2024/3/16

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs

arXiv preprint arXiv:2402.05582

2024/2/8

Li Yu
Li Yu

H-Index: 2

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

Perceptual Learned Image Compression via End-to-End JND-Based Optimization

arXiv preprint arXiv:2402.02836

2024/2/5

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

Sanaz Nami
Sanaz Nami

H-Index: 1

Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes

arXiv preprint arXiv:2402.02922

2024/2/5

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss

arXiv preprint arXiv:2402.02936

2024/2/5

Li Yu
Li Yu

H-Index: 2

Yanjun Gao
Yanjun Gao

H-Index: 3

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features

arXiv preprint arXiv:2401.03195

2024/1/6

Ali Falahati
Ali Falahati

H-Index: 7

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames

2024/1/2

MTJND: Multi-Task Deep Learning Framework for Improved JND Prediction

2023/10/8

Comprehensive Complexity Assessment of Emerging Learned Image Compression on CPU and GPU

2023/6/4

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

NCOD: Near-Optimum Video Compression for Object Detection

2023/5/21

MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene Statistics

IEEE Signal Processing Letters

2023/5/16

Li Yu
Li Yu

H-Index: 2

Junyang Li
Junyang Li

H-Index: 10

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

BL-JUNIPER: A CNN-Assisted Framework for Perceptual Video Coding Leveraging Block-Level JND

IEEE Transactions on Multimedia

2022/6/29

BLINC: lightweight bimodal learning for low-complexity VVC intra-coding

Journal of Real-Time Image Processing

2022/6/1

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

Mahmoud Reza Hashemi
Mahmoud Reza Hashemi

H-Index: 10

Fine-grain complexity control of HEVC intra prediction in battery-powered video codecs

Journal of Real-Time Image Processing

2021/6

SVM based approach for complexity control of HEVC intra coding

Signal Processing: Image Communication

2021/4/1

A Skill-Based Visual Attention Model for Cloud Gaming

IEEE Access

2021/1/11

Complexity analysis of next-generation vvc encoding and decoding

2020/10/25

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

Mahmoud Reza Hashemi
Mahmoud Reza Hashemi

H-Index: 10

Juniper: A Jnd-Based Perceptual Video Coding Framework to Jointly Utilize Saliency and JND

2020/7/6

SARA-SDN: state aware resource allocation in SDN to improve QoE in cloud gaming

2020/6/10

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

Mahmoud Reza Hashemi
Mahmoud Reza Hashemi

H-Index: 10

FRAME-SDN: a fair resource allocation for multiplayer edge-based cloud gaming in SDN

2020/6/10

Farhad Pakdaman
Farhad Pakdaman

H-Index: 4

Mahmoud Reza Hashemi
Mahmoud Reza Hashemi

H-Index: 10

See List of Professors in Farhad Pakdaman University(University of Mazandaran)

Co-Authors

academic-engine