Background Subtraction Based on Fusion of Color and Local Patterns. - Md Rifat Arefin; Farkhod Makhmudkhujaev; Oksam Chae; Jaemyun Kim (ACCV (6), 2018)

Background Subtraction Using Dominant Directional Pattern. - Kaushik Roy 008; Md Rifat Arefin; Farkhod Makhmudkhujaev; Oksam Chae; Jaemyun Kim (IEEE Access, 2018)

Person-Independent Facial Expression Recognition with Histograms of Prominent Edge Directions. - Farkhod Makhmudkhujaev; Md. Tauhid Bin Iqbal; Md Rifat Arefin; Byungyong Ryu; Oksam Chae (KSII Trans. Internet Inf. Syst., 2018)

Aggregating CNN and HOG features for Real-Time Distracted Driver Detection. - Md Rifat Arefin; Farkhod Makhmudkhujaev; Oksam Chae; Jaemyun Kim (ICCE, 2019)

Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks. - Md Rifat Arefin; Vincent Michalski; Pierre-Luc St-Charles; Alfredo Kalaitzis; Sookyung Kim; Samira Ebrahimi Kahou; Yoshua Bengio (CVPR Workshops, 2020)

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. - Michel Deudon; Alfredo Kalaitzis; Israel Goytom; Md Rifat Arefin; Zhichao Lin; Kris Sankaran; Vincent Michalski; Samira Ebrahimi Kahou; Julien Cornebise; Yoshua Bengio (CoRR, 2020)

A Statistical Real-Time Prediction Model for Recommender System. - Md Rifat Arefin; Minhas Kamal; Kishan Kumar Ganguly; Tarek Salah Uddin Mahmud (CoRR, 2020)

AvaTr: One-Shot Speaker Extraction with Transformers. - Shell Xu Hu; Md Rifat Arefin; Viet-Nhat Nguyen; Alish Dipani; Xaq Pitkow; Andreas Savas Tolias (Interspeech, 2021)

Continual Learning with Foundation Models: An Empirical Study of Latent Replay. - Oleksiy Ostapenko; Timothée Lesort; Pau Rodríguez; Md Rifat Arefin; Arthur Douillard; Irina Rish; Laurent Charlin (CoLLAs, 2022)

Foundational Models for Continual Learning: An Empirical Study of Latent Replay. - Oleksiy Ostapenko; Timothée Lesort; Pau Rodríguez; Md Rifat Arefin; Arthur Douillard; Irina Rish; Laurent Charlin (CoRR, 2022)

Scaling the Number of Tasks in Continual Learning. - Timothée Lesort; Oleksiy Ostapenko; Diganta Misra; Md Rifat Arefin; Pau Rodríguez; Laurent Charlin; Irina Rish (CoRR, 2022)

Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation. - Timothée Lesort; Oleksiy Ostapenko; Pau Rodríguez; Diganta Misra; Md Rifat Arefin; Laurent Charlin; Irina Rish (CoLLAs, 2023)

Unsupervised Concept Discovery Mitigates Spurious Correlations. - Md Rifat Arefin; Yan Zhang; Aristide Baratin; Francesco Locatello; Irina Rish; Dianbo Liu; Kenji Kawaguchi (ICML, 2024)

VFA: Vision Frequency Analysis of Foundation Models and Human. - Mohammad-Javad Darvishi Bayazi; Md Rifat Arefin; Jocelyn Faubert; Irina Rish (CoRR, 2024)

Does Representation Matter? Exploring Intermediate Layers in Large Language Models. - Oscar Skean; Md Rifat Arefin; Yann LeCun; Ravid Shwartz-Ziv (CoRR, 2024)

Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning. - Mohammad-Javad Darvishi Bayazi; Mohammad Sajjad Ghaemi; Timothée Lesort; Md Rifat Arefin; Jocelyn Faubert; Irina Rish (Comput. Biol. Medicine, 2024)

Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning. - Md Rifat Arefin; Gopeshh Subbaraj; Nicolas Gontier; Yann LeCun; Irina Rish; Ravid Shwartz-Ziv; Christopher Pal (ICLR, 2025)

Layer by Layer: Uncovering Hidden Representations in Language Models. - Oscar Skean; Md Rifat Arefin; Dan Zhao; Niket Patel; Jalal Naghiyev; Yann LeCun; Ravid Shwartz-Ziv (CoRR, 2025)