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ORCIDIbne Farabi Shihab
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2020 – today
- 2025
[i14]Ibne Farabi Shihab, Anuj Sharma:
Crash Time Matters: HybridMamba for Fine-Grained Temporal Localization in Traffic Surveillance Footage. CoRR abs/2504.03235 (2025)- [i13]Sudesh Ramesh Bhagat, Ibne Farabi Shihab, Anuj Sharma:
Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models. CoRR abs/2504.13068 (2025) - [i12]Anush Lakshman Sivaraman, Kojo Konadu Adu-Gyamfi, Ibne Farabi Shihab, Anuj Sharma:
ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery. CoRR abs/2504.19684 (2025) - [i11]Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma:
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems. CoRR abs/2505.03140 (2025) - [i10]Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma:
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains. CoRR abs/2505.07274 (2025) - [i9]Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma:
Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments. CoRR abs/2505.08299 (2025) - [i8]Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma:
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems. CoRR abs/2506.14096 (2025) - [i7]Sudesh Ramesh Bhagat, Kandiboina Raghupathi, Ibne Farabi Shihab, Skylar Knickerbocker, Neal Hawkins, Anuj Sharma:
Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment. CoRR abs/2506.19342 (2025) - [i6]Ibne Farabi Shihab:
Heart rate and respiratory rate prediction from noisy real-world smartphone based on Deep Learning methods. CoRR abs/2506.22460 (2025) - [i5]Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma:
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges. CoRR abs/2507.02074 (2025) - [i4]Sudesh Ramesh Bhagat, Ibne Farabi Shihab, Jonathan Wood:
Identification of Potentially Misclassified Crash Narratives using Machine Learning (ML) and Deep Learning (DL). CoRR abs/2507.03066 (2025) - [i3]Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma:
Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study. CoRR abs/2507.05619 (2025) - 2024
- [c2]Mohammed Shaiqur Rahman, Ibne Farabi Shihab
, Lynna Chu, Anuj Sharma:
DeepLocalization: Using change point detection for Temporal Action Localization. CVPR Workshops 2024: 7252-7260 - [i2]Mohammed Shaiqur Rahman, Ibne Farabi Shihab, Lynna Chu, Anuj Sharma:
DeepLocalization: Using change point detection for Temporal Action Localization. CoRR abs/2404.12258 (2024) - [i1]Ibne Farabi Shihab, Benjir Islam Alvee, Sudesh Ramesh Bhagat, Anuj Sharma:
Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments. CoRR abs/2405.14876 (2024) - 2023
- [c1]Ibne Farabi Shihab, Sudesh Ramesh Bhagat, Anuj Sharma:
Robust and Precise Sidewalk Detection with Ensemble Learning: Enhancing Road Safety and Facilitating Curb Space Management. ITSC 2023: 5092-5099
Coauthor Index
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