Ibne Farabi Shihab

According to our database, Ibne Farabi Shihab authored at least 15 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study.

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

CoRR, July, 2025

Identification of Potentially Misclassified Crash Narratives using Machine Learning (ML) and Deep Learning (DL).

Sudesh Ramesh Bhagat, Ibne Farabi Shihab, Jonathan Wood

CoRR, July, 2025

Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges.

Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma

CoRR, July, 2025

Heart rate and respiratory rate prediction from noisy real-world smartphone based on Deep Learning methods.

Ibne Farabi Shihab

CoRR, June, 2025

Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment.

Sudesh Ramesh Bhagat, Kandiboina Raghupathi, Ibne Farabi Shihab, Skylar Knickerbocker, Neal Hawkins, Anuj Sharma

CoRR, June, 2025

Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems.

Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma

CoRR, June, 2025

Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments.

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

CoRR, May, 2025

Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains.

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

CoRR, May, 2025

HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems.

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

CoRR, May, 2025

ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery.

Anush Lakshman Sivaraman, Kojo Konadu Adu-Gyamfi, Ibne Farabi Shihab, Anuj Sharma

CoRR, April, 2025

Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models.

Sudesh Ramesh Bhagat, Ibne Farabi Shihab, Anuj Sharma

CoRR, April, 2025

Crash Time Matters: HybridMamba for Fine-Grained Temporal Localization in Traffic Surveillance Footage.

Ibne Farabi Shihab, Anuj Sharma

CoRR, April, 2025

2024

Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments.

Ibne Farabi Shihab, Benjir Islam Alvee, Sudesh Ramesh Bhagat, Anuj Sharma

CoRR, 2024

DeepLocalization: Using change point detection for Temporal Action Localization.

Mohammed Shaiqur Rahman, Ibne Farabi Shihab, Lynna Chu, Anuj Sharma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Robust and Precise Sidewalk Detection with Ensemble Learning: Enhancing Road Safety and Facilitating Curb Space Management.

Ibne Farabi Shihab, Sudesh Ramesh Bhagat, Anuj Sharma

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023