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Maregu Assefa
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2020 – today
- 2026
[j9]Mohammad Alshurbaji
, Maregu Assefa
, Ahmad Obeid
, Mohamed L. Seghier, Taimur Hassan, Kamal Taha
, Naoufel Werghi
:
TriGAN-SiaMT: A triple-segmentor adversarial network with bounding box priors for semi-supervised brain lesion segmentation. Pattern Recognit. Lett. 200: 37-43 (2026)- 2025
[j8]Asebe Teka
, Kumie Alemu Gedamu
, Maregu Assefa, Feidu Akmel, Zhenting Zhou, Weijie Wu, Jianwen Chen:
AMT-Net: Adversarial Motion Transfer Network With Disentangled Shape and Pose for Realistic Image Animation. IEEE Access 13: 92712-92729 (2025)
[c4]Maregu Assefa
, Muzammal Naseer, Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Mohamed L. Seghier, Naoufel Werghi:
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation. CVPR 2025: 30850-30860
[i3]Maregu Assefa, Muzammal Naseer, Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Mohamed L. Seghier, Naoufel Werghi:
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2504.04566 (2025)
[i2]Gabriele Paolini, Claudio Tortorici, Stefano Berretti, Ahmed Hazem Youssef, Halim Benhabiles, Adnane Cabani, Ruiwen He, Karim Hammoudi, Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Divya Velayudhan, Maregu Assefa, Naoufel Werghi:
SHREC'25 Track on Multiple Relief Patterns: Report and Analysis. CoRR abs/2508.09909 (2025)
[i1]Matej Vitek, Darian Tomasevic, Abhijit Das, Sabari Nathan, Gökhan Özbulak, Gözde Ayse Tataroglu Özbulak, Jean-Paul Calbimonte, André Anjos, Hariohm Hemant Bhatt, Dhruv Dhirendra Premani, Jay Chaudhari, Caiyong Wang, Jian Jiang, Chi Zhang, Qi Zhang, Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Divya Velayudan, Maregu Assefa, Naoufel Werghi, Zachary A. Daniels, Leeon John, Ritesh Vyas, Jalil Nourmohammadi Khiarak, Taher Akbari Saeed, Mahsa Nasehi, Ali Kianfar, Mobina Pashazadeh Panahi, Geetanjali Sharma, Pushp Raj Panth, Raghavendra Ramachandra, Aditya Nigam, Umapada Pal, Peter Peer, Vitomir Struc:
Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025. CoRR abs/2508.10737 (2025)- 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)
[c3]Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Maregu Assefa, Sajid Javed, Naoufel Werghi:
SCAM: Systematic Classification and Analysis of Misinformation. BMVC Workshops 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
Coauthor Index

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last updated on 2026-01-05 23:38 CET by the dblp team
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