E-LIB Suche - Ergebnisse für: Milad Abdollahzadeh

1

FairTL: A Transfer Learning Approach for Bias Mitigation in..:

Teo, Christopher T. H. ; Abdollahzadeh, Milad ; Cheung, Ngai-Man
IEEE Journal of Selected Topics in Signal Processing. 18 (2024) 2 - p. 155-167 , 2024

Link: https://doi.org/10.1109/..

2

Re-Thinking Model Inversion Attacks Against Deep Neural Net..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Nguyen, Ngoc-Bao ; Chandrasegaran, Keshigeyan ; Abdollahzadeh, Milad. - p. 16384-16393 , 2023

Link: https://doi.org/10.1109/..

3

Exploring Incompatible Knowledge Transfer in Few-shot Image..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Zhao, Yunqing ; Du, Chao ; Abdollahzadeh, Milad... - p. 7380-7391 , 2023

Link: https://doi.org/10.1109/..

4

Deep artifact-free residual network for single-image super-..:

Nasrollahi, Hamdollah ; Farajzadeh, Kamran ; Hosseini, Vahid..
Signal, Image and Video Processing. 14 (2019) 2 - p. 407-415 , 2019

Link: https://doi.org/10.1007/..

5

Metal Artifact Suppression in Dental Cone Beam Computed Tom..:

Sakhamanesh, Vahideh ; Johari, Masoumeh ; Abdollahzadeh, Milad.
Journal of Medical Signals & Sensors. 8 (2018) 1 - p. 12 , 2018

Link: https://doi.org/10.4103/..

6

Optimal HEVC Configuration for Wireless Video Communication..:

Milad Abdollahzadeh ; Hadi Seyedarabi ; Javad Musevi Niya.
https://ieeexplore.ieee.org/document/8552344/. , 2018

Link: https://doi.org/10.1109/..

7

Metal Artifact Suppression in Dental Cone Beam Computed Tom..:

Masoumeh Johari ; Milad Abdollahzadeh ; Farzad Esmaeili.
http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2018;volume=8;issue=1;spage=12;epage=24;aulast=Johari. , 2018

Link: https://doaj.org/article..

8

On Error and Bitrate Tradeoff in Visible Light Communicatio..:

Hamed Alizadeh Ghazijahani ; Milad Abdollahzadeh ; Hadi Seyedarabi.
http://ijict.itrc.ac.ir/article-1-52-en.html. , 2016

Link: https://doaj.org/article..

9

Label-Only Model Inversion Attacks via Knowledge Transfer:

Nguyen, Ngoc-Bao ; Chandrasegaran, Keshigeyan ; Abdollahzadeh, Milad.
http://arxiv.org/abs/2310.19342. , 2023

Link: http://arxiv.org/abs/231..

10

AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel..:

Zhao, Yunqing ; Chandrasegaran, Keshigeyan ; Abdollahzadeh, Milad...
http://arxiv.org/abs/2307.01465. , 2023

Link: http://arxiv.org/abs/230..

11

On Measuring Fairness in Generative Models:

Teo, Christopher T. H ; Abdollahzadeh, Milad ; Cheung, Ngai-Man
http://arxiv.org/abs/2310.19297. , 2023

Link: http://arxiv.org/abs/231..

12

Re-thinking Model Inversion Attacks Against Deep Neural Net..:

Nguyen, Ngoc-Bao ; Chandrasegaran, Keshigeyan ; Abdollahzadeh, Milad.
http://arxiv.org/abs/2304.01669. , 2023

Link: http://arxiv.org/abs/230..

13

Exploring Incompatible Knowledge Transfer in Few-shot Image..:

Zhao, Yunqing ; Du, Chao ; Abdollahzadeh, Milad...
http://arxiv.org/abs/2304.07574. , 2023

Link: http://arxiv.org/abs/230..

14

A Survey on Generative Modeling with Limited Data, Few Shot..:

Abdollahzadeh, Milad ; Malekzadeh, Touba ; Teo, Christopher T. H...
http://arxiv.org/abs/2307.14397. , 2023

Link: http://arxiv.org/abs/230..

15

Fair Generative Models via Transfer Learning:

Teo, Christopher TH ; Abdollahzadeh, Milad ; Cheung, Ngai-Man
http://arxiv.org/abs/2212.00926. , 2022

Link: http://arxiv.org/abs/221..