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Md Rifat Arefin
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2020 – today
- 2024
- [j3]Mohammad-Javad Darvishi Bayazi
, Mohammad Sajjad Ghaemi, Timothée Lesort
, Md Rifat Arefin, Jocelyn Faubert
, Irina Rish
:
Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning. Comput. Biol. Medicine 169: 107893 (2024) - [i7]Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi:
Unsupervised Concept Discovery Mitigates Spurious Correlations. CoRR abs/2402.13368 (2024) - 2023
- [c6]Timothée Lesort, Oleksiy Ostapenko, Pau Rodríguez, Diganta Misra, Md Rifat Arefin, Laurent Charlin, Irina Rish:
Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation. CoLLAs 2023: 43-65 - [i6]Mohammad-Javad Darvishi Bayazi, Mohammad Sajjad Ghaemi, Timothée Lesort, Md Rifat Arefin, Jocelyn Faubert, Irina Rish:
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning. CoRR abs/2309.10910 (2023) - 2022
- [c5]Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin:
Continual Learning with Foundation Models: An Empirical Study of Latent Replay. CoLLAs 2022: 60-91 - [i5]Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin:
Foundational Models for Continual Learning: An Empirical Study of Latent Replay. CoRR abs/2205.00329 (2022) - [i4]Timothée Lesort, Oleksiy Ostapenko, Diganta Misra, Md Rifat Arefin, Pau Rodríguez, Laurent Charlin, Irina Rish:
Scaling the Number of Tasks in Continual Learning. CoRR abs/2207.04543 (2022) - 2021
- [c4]Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias:
AvaTr: One-Shot Speaker Extraction with Transformers. Interspeech 2021: 3510-3514 - [i3]Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias:
AvaTr: One-Shot Speaker Extraction with Transformers. CoRR abs/2105.00609 (2021) - 2020
- [c3]Md Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles
, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou, Yoshua Bengio:
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks. CVPR Workshops 2020: 816-825 - [i2]Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio:
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. CoRR abs/2002.06460 (2020) - [i1]Md Rifat Arefin, Minhas Kamal, Kishan Kumar Ganguly, Tarek Salah Uddin Mahmud:
A Statistical Real-Time Prediction Model for Recommender System. CoRR abs/2012.00501 (2020)
2010 – 2019
- 2019
- [c2]Md Rifat Arefin, Farkhod Makhmudkhujaev
, Oksam Chae, Jaemyun Kim:
Aggregating CNN and HOG features for Real-Time Distracted Driver Detection. ICCE 2019: 1-3 - 2018
- [j2]Kaushik Roy
, Md Rifat Arefin, Farkhod Makhmudkhujaev
, Oksam Chae
, Jaemyun Kim
:
Background Subtraction Using Dominant Directional Pattern. IEEE Access 6: 39917-39926 (2018) - [j1]Farkhod Makhmudkhujaev
, Md. Tauhid Bin Iqbal, Md Rifat Arefin, Byungyong Ryu, Oksam Chae:
Person-Independent Facial Expression Recognition with Histograms of Prominent Edge Directions. KSII Trans. Internet Inf. Syst. 12(12): 6000-6017 (2018) - [c1]Md Rifat Arefin
, Farkhod Makhmudkhujaev
, Oksam Chae
, Jaemyun Kim
:
Background Subtraction Based on Fusion of Color and Local Patterns. ACCV (6) 2018: 214-230
Coauthor Index
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last updated on 2024-06-10 21:21 CEST by the dblp team
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