Md Mohaiminul Islam

Md Mohaiminul Islam

PhD Student UNC Chapel Hill Research Scientist Intern Meta AI

Biography

I am a fourth-year PhD student in the Department of Computer Science at UNC Chapel Hill, where I have the privilege of working with Professor Gedas Bertasius. My primary research focuses on computer vision, video understanding, and multi-modal deep learning.

During the summer of 2023, I had the incredible opportunity to join FAIR, Meta AI as a Research Scientist Intern. This followed my previous experience as a Machine Learning Intern at Comcast AI during Summer 2022. Before starting my PhD program at UNC, I gained valuable industry experience as a Software Engineer at Samsung R&D Institute. Additionally, I had the honor of serving as a lecturer at the Computer Science Department of the University of Asia Pacific.

Download my resumé.

Interests
  • Computer Vision
  • Video Understanding
  • Multi-modal deep learning
  • Machine Learning
  • Natural Language Processing
Education

  • PhD in Computer Science, 2021-Present

    UNC Chapel Hill

  • MSc in Computer Science, 2021-2023

    UNC Chapel Hill

  • BSc in Computer Science and Engineering, 2014-2018

    Bangladesh University of Engineering and Technology

Recent News

Experience

 
 
 
 
 
FAIR Accel, Meta AI
Research Scientist Intern
FAIR Accel, Meta AI
May 2023 – Aug 2023 Menlo Park, California
Advisor - Xitong Yang, Kris Kitani
 
 
 
 
 
Comcast AI
Machine Learning Intern
Comcast AI
May 2022 – Aug 2022 Virtual
Advisor - Mahmudul Hasan, Tony Braskich
 
 
 
 
 
Lecturer
University of Asia Pacific
Apr 2019 – Dec 2020 Bangladesh
 
 
 
 
 
Software Engineer
Samsung R&D Institute
Nov 2018 – Mar 2019 Bangladesh

Featured Publications

Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, Gedas Bertasius
February, 2024 In CVPR 2024
Video ReCap: Recursive Captioning of Hour-Long Videos
Video ReCap: Recursive Captioning of Hour-Long Videos
Cite ArXiv Website Code Dataset HuggingFace

Recent Publications

Quickly discover relevant content by filtering publications.
Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, Gedas Bertasius (2024). Video ReCap: Recursive Captioning of Hour-Long Videos. In CVPR 2024.

Cite ArXiv Website Code Dataset HuggingFace

Kristen Grauman, Md Mohaiminul Islam, et al (2024). Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. In CVPR 2024.

Cite ArXiv Website Blog Video

Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius (2024). A Simple LLM Framework for Long-Range Video Question-Answering. In ArXiv 2024.

Cite ArXiv Code

Tanveer Hannan, Md Mohaiminul Islam, Thomas Seidl, Gedas Bertasius (2024). RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos. In ArXiv 2024.

Cite ArXiv Code

Md Mohaiminul Islam, Mahmudul Hasan, Kishan Shamsundar Athrey, Tony Braskich, Gedas Bertasius (2023). Efficient Movie Scene Detection using State-Space Transformers. In CVPR 2023.

Cite ArXiv Code

Md Mohaiminul Islam, Gedas Bertasius (2022). Long Movie Clip Classification with State-Space Video Models. In ECCV 2022.

Cite ArXiv Code

Md Mohaiminul Islam, Gedas Bertasius (2022). Object State Change Classification in Egocentric Videos using the Divided Space-Time Attention Mechanism. In Ego4D Workshop, CVPR 2022.

Cite ArXiv Code

Md Mohaiminul Islam, Tanveer Hannan, Laboni Sarker, Zakaria Ahmed (2022). COVID-DenseNet: A Deep Learning Architecture to Detect COVID-19 from Chest Radiology Images. In ICDSA 2022.

Cite ArXiv Code

Contact

  • mmiemon@cs.unc.edu
  • Raleigh, North Carolina