Md Mofijul Islam

Orcid: 0000-0003-4207-5863

According to our database1, Md Mofijul Islam authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models.
CoRR, 2024

PoseTron: Enabling Close-Proximity Human-Robot Collaboration Through Multi-human Motion Prediction.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
MAVEN: A Memory Augmented Recurrent Approach for Multimodal Fusion.
IEEE Trans. Multim., 2023

Representation Learning in Deep RL via Discrete Information Bottleneck.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

PATRON: Perspective-Aware Multitask Model for Referring Expression Grounding Using Embodied Multimodal Cues.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
M3Sense: Affect-Agnostic Multitask Representation Learning Using Multimodal Wearable Sensors.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

An Adaptive Agent-Specific Sub-Optimal Bounding Approach for Multi-Agent Path Finding.
IEEE Access, 2022

Fusing Computer Vision and Wireless Signal for Accurate Sensor Localization in AR View.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning.
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

CAESAR: An Embodied Simulator for Generating Multimodal Referring Expression Datasets.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Who's Laughing NAO?: Examining Perceptions of Failure in a Humorous Robot Partner.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multi-GAT: A Graphical Attention-Based Hierarchical Multimodal Representation Learning Approach for Human Activity Recognition.
IEEE Robotics Autom. Lett., 2021

2020
HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020


  Loading...