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2020 – today
- 2024
[j7]Feidu Akmel
, Fanman Meng, Qingbo Wu, Shuai Chen, Runtong Zhang, Maregu Assefa:
Class similarity weighted knowledge distillation for few shot incremental learning. Neurocomputing 584: 127587 (2024)- [j6]Deepak Adhikari, Wei Jiang, Jinyu Zhan, Maregu Assefa, Hadi Akbarzade Khorshidi, Uwe Aickelin, Danda B. Rawat:
A Lightweight-Window-Portion-Based Multiple Imputation for Extreme Missing Gaps in IoT Systems. IEEE Internet Things J. 11(3): 3676-3689 (2024) - [j5]Maregu Assefa, Wei Jiang, Jinyu Zhan, Kumie Gedamu, Getinet Yilma, Melese Ayalew, Deepak Adhikari:
Audio-Visual Contrastive and Consistency Learning for Semi-Supervised Action Recognition. IEEE Trans. Multim. 26: 3491-3504 (2024) - 2023
- [j4]Maregu Assefa, Wei Jiang, Kumie Alemu Gedamu, Getinet Yilma, Deepak Adhikari, Melese Ayalew, Abegaz Mohammed Seid, Aiman Erbad:
Actor-Aware Self-Supervised Learning for Semi-Supervised Video Representation Learning. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6679-6692 (2023) - [j3]Maregu Assefa, Wei Jiang, Kumie Gedamu, Getinet Yilma, Bulbula Kumeda, Melese Ayalew:
Self-Supervised Scene-Debiasing for Video Representation Learning via Background Patching. IEEE Trans. Multim. 25: 5500-5515 (2023) - 2022
- [j2]Maregu Assefa, Wei Jiang, Getinet Yilma, Bulbula Kumeda, Melese Ayalew, Mohammed Seid:
Self-Supervised Multi-Label Transformation Prediction for Video Representation Learning. J. Circuits Syst. Comput. 31(9): 2250159:1-2250159:20 (2022) - [c2]Maregu Assefa, Wei Jiang, Kumie Gedamu, Getinet Yilma, Melese Ayalew, Mohammed Seid:
Actor-Aware Contrastive Learning for Semi-Supervised Action Recognition. ICTAI 2022: 660-665 - 2021
- [j1]Getinet Yilma, Seid Belay, Kumie Gedamu, Maregu Assefa, Melese Ayalew, Ariyo Oluwasanmi, Zhiguang Qin:
Attention augmented residual network for tomato disease detection and classification. Turkish J. Electr. Eng. Comput. Sci. 29(SI-1): 2869-2885 (2021) - [c1]Getinet Yilma, Zhiguang Qin, Maregu Assefa, Gedamu Alemu, Melese Ayalew:
Attention Augmented Convolutional Neural Network for Fine-Grained Plant Disease Classification and Visualization Using Stochastic Sample Transformations. ICAIP 2021: 13-19
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