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Ibsa Jalata
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2020 – today
- 2024
- [j4]Ibsa Jalata, Reeshad Khan, Ukash Nakarmi:
Learning From Oversampling: A Systematic Exploitation of Oversampling to Address Data Scarcity Issues in Deep Learning- Based Magnetic Resonance Image Reconstruction. IEEE Access 12: 97621-97629 (2024) - 2023
- [c2]Ibsa Jalata, Ukash Nakarmi:
When System Model Meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging. ISVC (1) 2023: 370-381 - 2022
- [j3]Ibsa Jalata, Naga Venkata Sai Raviteja Chappa, Thanh-Dat Truong, Pierce Helton, Chase Rainwater, Khoa Luu:
EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring. IEEE Access 10: 93203-93211 (2022) - [j2]Kha Gia Quach, Ngan Le, Chi Nhan Duong, Ibsa Jalata, Kaushik Roy, Khoa Luu:
Non-volume preserving-based fusion to group-level emotion recognition on crowd videos. Pattern Recognit. 128: 108646 (2022) - 2021
- [j1]Ibsa Jalata, Thanh-Dat Truong, Jessica L. Allen, Han-Seok Seo, Khoa Luu:
Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network. Future Internet 13(8): 194 (2021)
2010 – 2019
- 2019
- [c1]Chi Nhan Duong, Kha Gia Quach, Ibsa Jalata, Ngan Le, Khoa Luu:
MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices. BTAS 2019: 1-6 - 2018
- [i1]Kha Gia Quach, Ngan Le, Khoa Luu, Chi Nhan Duong, Ibsa Jalata, Karl Ricanek:
Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos. CoRR abs/1811.11849 (2018)
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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