Md Mohaiminul Islam

Orcid: 0000-0003-3337-0000

According to our database1, Md Mohaiminul Islam authored at least 15 papers between 2022 and 2024.

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Bibliography

2024
TimeRefine: Temporal Grounding with Time Refining Video LLM.
CoRR, 2024

An Extensive Study on D2C: Overfitting Remediation in Deep Learning Using a Decentralized Approach.
CoRR, 2024

ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos.
CoRR, 2024

A Simple LLM Framework for Long-Range Video Question-Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos.
Proceedings of the Computer Vision - ECCV 2024, 2024

RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos.
Proceedings of the Computer Vision - ECCV 2024, 2024

Video ReCap: Recursive Captioning of Hour-Long Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Divide2Conquer (D2C): A Decentralized Approach Towards Overfitting Remediation in Deep Learning.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
RGNet: A Unified Retrieval and Grounding Network for Long Videos.
CoRR, 2023

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.
CoRR, 2023

Disparity-Aware Federated Learning for Intrusion Detection Systems in Imbalanced Non-IID Settings.
Proceedings of the 10th International Conference on Networking, 2023

Efficient Movie Scene Detection using State-Space Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Object State Change Classification in Egocentric Videos using the Divided Space-Time Attention Mechanism.
CoRR, 2022

Long Movie Clip Classification with State-Space Video Models.
Proceedings of the Computer Vision - ECCV 2022, 2022


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