| Highres-net: Recursive fusion for multi-frame super-resolution of satellite imagery M Deudon, A Kalaitzis, I Goytom, MR Arefin, Z Lin, K Sankaran, ... arXiv preprint arXiv:2002.06460, 2020 | 127 | 2020 |
| Multi-image super-resolution for remote sensing using deep recurrent networks MR Arefin, V Michalski, PL St-Charles, A Kalaitzis, S Kim, SE Kahou, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 78 | 2020 |
| Continual learning with foundation models: An empirical study of latent replay O Ostapenko, T Lesort, P Rodriguez, MR Arefin, A Douillard, I Rish, ... Conference on lifelong learning agents, 60-91, 2022 | 64* | 2022 |
| Aggregating CNN and HOG features for real-time distracted driver detection MR Arefin, F Makhmudkhujaev, O Chae, J Kim 2019 IEEE international conference on consumer electronics (ICCE), 1-3, 2019 | 27 | 2019 |
| Highres-net: Multi-frame super-resolution by recursive fusion M Deudon, A Kalaitzis, MR Arefin, I Goytom, Z Lin, K Sankaran, ... | 12 | 2020 |
| SAL: An effective method for software defect prediction S Sharmin, MR Arefin, M Abdullah-Al Wadud, N Nower, M Shoyaib 2015 18th International Conference on Computer and Information Technology …, 2015 | 12 | 2015 |
| Background subtraction using dominant directional pattern K Roy, R Arefin, F Makhmudkhujaev, O Chae, J Kim IEEE Access 6, 39917-39926, 2018 | 11 | 2018 |
| Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning MJ Darvishi-Bayazi, MS Ghaemi, T Lesort, MR Arefin, J Faubert, I Rish Computers in Biology and Medicine 169, 107893, 2024 | 10 | 2024 |
| Challenging common assumptions about catastrophic forgetting and knowledge accumulation T Lesort, O Ostapenko, P Rodríguez, D Misra, MR Arefin, L Charlin, I Rish Conference on Lifelong Learning Agents, 43-65, 2023 | 8 | 2023 |
| Unsupervised Concept Discovery Mitigates Spurious Correlations MR Arefin, Y Zhang, A Baratin, F Locatello, I Rish, D Liu, K Kawaguchi arXiv preprint arXiv:2402.13368, 2024 | 4 | 2024 |
| Challenging Common Assumptions about Catastrophic Forgetting T Lesort, O Ostapenko, D Misra, MR Arefin, P Rodríguez, L Charlin, I Rish arXiv preprint arXiv:2207.04543, 2022 | 4 | 2022 |
| AvaTr: One-shot speaker extraction with transformers SX Hu, MR Arefin, VN Nguyen, A Dipani, X Pitkow, AS Tolias arXiv preprint arXiv:2105.00609, 2021 | 4 | 2021 |
| Background subtraction based on fusion of color and local patterns MR Arefin, F Makhmudkhujaev, O Chae, J Kim Asian Conference on Computer Vision, 214-230, 2018 | 4 | 2018 |
| Person-independent facial expression recognition with histograms of prominent edge directions F Makhmudkhujaev, MTB Iqbal, MR Arefin, B Ryu, O Chae KSII Transactions on Internet and Information Systems (TIIS) 12 (12), 6000-6017, 2018 | 1 | 2018 |
| VFA: Vision Frequency Analysis of Foundation Models and Human MJD Bayazi, MR Arefin, J Faubert, I Rish ICML 2024 Workshop on Foundation Models in the Wild, 0 | 1 | |
| Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning MR Arefin, G Subbaraj, N Gontier, Y LeCun, I Rish, R Shwartz-Ziv, C Pal arXiv preprint arXiv:2411.02344, 2024 | | 2024 |
| When Machines Outshine Humans in Object Recognition, Benchmarking Dilemma MJD Bayazi, MR Arefin, J Faubert Journal of Vision 24 (10), 1523-1523, 2024 | | 2024 |
| VFA: Vision Frequency Analysis of Foundation Models and Human MJ Darvishi-Bayazi, MR Arefin, J Faubert, I Rish arXiv preprint arXiv:2409.05817, 2024 | | 2024 |
| A Statistical Real-Time Prediction Model for Recommender System MR Arefin, M Kamal, KK Ganguly, TSU Mahmud arXiv preprint arXiv:2012.00501, 2020 | | 2020 |
| Does Representation Matter? Exploring Intermediate Layers in Large Language Models O Skean, MR Arefin, R Shwartz-Ziv Workshop on Machine Learning and Compression, NeurIPS 2024, 0 | | |
Irina RishUniversity of Montreal / Mila -Quebec AI InstituteVerified email at mila.quebec
