Robust and Precise Sidewalk Detection with Ensemble Learning: Enhancing Road Safety and Facilitating Curb Space Management. - Ibne Farabi Shihab; Sudesh Ramesh Bhagat; Anuj Sharma (ITSC, 2023)

DeepLocalization: Using change point detection for Temporal Action Localization. - Mohammed Shaiqur Rahman; Ibne Farabi Shihab; Lynna Chu; Anuj Sharma (CVPR Workshops, 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)

Crash Time Matters: HybridMamba for Fine-Grained Temporal Localization in Traffic Surveillance Footage. - Ibne Farabi Shihab; Anuj Sharma (CoRR, 2025)

Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models. - Sudesh Ramesh Bhagat; Ibne Farabi Shihab; Anuj Sharma (CoRR, 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, 2025)

HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems. - Ibne Farabi Shihab; Sanjeda Akter; Anuj Sharma (CoRR, 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, 2025)

Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments. - Ibne Farabi Shihab; Sanjeda Akter; Anuj Sharma (CoRR, 2025)

Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems. - Sanjeda Akter; Ibne Farabi Shihab; Anuj Sharma (CoRR, 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, 2025)

Heart rate and respiratory rate prediction from noisy real-world smartphone based on Deep Learning methods. - Ibne Farabi Shihab (CoRR, 2025)

Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges. - Sanjeda Akter; Ibne Farabi Shihab; Anuj Sharma (CoRR, 2025)

Identification of Potentially Misclassified Crash Narratives using Machine Learning (ML) and Deep Learning (DL). - Sudesh Ramesh Bhagat; Ibne Farabi Shihab; Jonathan Wood (CoRR, 2025)

Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study. - Ibne Farabi Shihab; Sanjeda Akter; Anuj Sharma (CoRR, 2025)