Anuj Sharma
Orcid: 0000-0001-5929-5120Affiliations:
- Iowa State University, Civil, Construction and Environmental Engineering, Ames, IA, USA
- University of Nebraska-Lincoln, Department of Civil Engineering, Lincoln, NE, USA (2008 - 2014)
- Purdue University, West Lafayette, IN, USA (PhD 2008)
According to our database1,
Anuj Sharma authored at least 89 papers
between 2013 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Coverage-Based Calibration for Post-Training Quantization via Weighted Set Cover over Outlier Channels.
CoRR, April, 2026
Continual Calibration: Coverage Can Collapse Before Accuracy in Lifelong LLM Fine-Tuning.
CoRR, April, 2026
Why Colors Make Clustering Harder:Global Integrality Gaps, the Price of Fairness, and Color-Coupled Algorithms in Chromatic Correlation Clustering.
CoRR, April, 2026
Minimax Optimality and Spectral Routing for Majority-Vote Ensembles under Markov Dependence.
CoRR, April, 2026
Beyond Accuracy: A Unified Random Matrix Theory Diagnostic Framework for Crash Classification Models.
CoRR, February, 2026
Calibrated Adaptation: Bayesian Stiefel Manifold Priors for Reliable Parameter-Efficient Fine-Tuning.
CoRR, February, 2026
Grassmannian Mixture-of-Experts: Concentration-Controlled Routing on Subspace Manifolds.
CoRR, February, 2026
On the Sparsifiability of Correlation Clustering: Approximation Guarantees under Edge Sampling.
CoRR, February, 2026
CoRR, February, 2026
CoRR, January, 2026
CalPro: Prior-Aware Evidential-Conformal Prediction with Structure-Aware Guarantees for Protein Structures.
CoRR, January, 2026
Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning.
CoRR, January, 2026
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026
Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
CoRR, November, 2025
Temporal Zoom Networks: Distance Regression and Continuous Depth for Efficient Action Localization.
CoRR, November, 2025
CoRR, October, 2025
Calibrated and Resource-Aware Super-Resolution for Reliable Driver Behavior Analysis.
CoRR, September, 2025
Selective Risk Certification for LLM Outputs via Information-Lift Statistics: PAC-Bayes, Robustness, and Skeleton Design.
CoRR, September, 2025
What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning?
CoRR, September, 2025
CoRR, September, 2025
CoRR, September, 2025
FedProtoKD: Dual Knowledge Distillation with Adaptive Class-wise Prototype Margin for Heterogeneous Federated Learning.
CoRR, August, 2025
Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study.
CoRR, July, 2025
Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers From Driving Video.
CoRR, July, 2025
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges.
CoRR, July, 2025
Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment.
CoRR, June, 2025
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems.
CoRR, June, 2025
Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models.
CoRR, April, 2025
CoRR, April, 2025
Crash Time Matters: HybridMamba for Fine-Grained Temporal Localization in Traffic Surveillance Footage.
CoRR, April, 2025
Driver Age and Its Effect on Key Driving Metrics: Insights from Dynamic Vehicle Data.
CoRR, January, 2025
ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
2024
Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos.
IEEE Trans. Intell. Transp. Syst., September, 2024
IEEE Trans. Intell. Transp. Syst., August, 2024
Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments.
CoRR, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension.
SoftwareX, December, 2023
IEEE Trans. Intell. Transp. Syst., September, 2023
Massively parallelizable approach for evaluating signalized arterial performance using probe-based data.
J. Intell. Transp. Syst., July, 2023
A computer vision-based deep learning model to detect wrong-way driving using pan-tilt-zoom traffic cameras.
Comput. Aided Civ. Infrastructure Eng., January, 2023
Traffic Intersection Vehicle Movement Counts with Temporal and Visual Similarity based Re-Identification.
Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023
Robust and Precise Sidewalk Detection with Ensemble Learning: Enhancing Road Safety and Facilitating Curb Space Management.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Farm Vehicle Following Distance Estimation Using Deep Learning and Monocular Camera Images.
Sensors, 2022
Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification.
CoRR, 2022
Synthetic Distracted Driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver.
CoRR, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Deep Learning-Based Object Detection for Unmanned Aerial Systems (UASs)-Based Inspections of Construction Stormwater Practices.
Sensors, 2021
Application of text mining in smart lighting literature - an analysis of existing literature and a research agenda.
Int. J. Inf. Manag. Data Insights, 2021
Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections.
CoRR, 2021
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees.
CoRR, 2021
CoRR, 2021
Proceedings of the WiNTECH'21: Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images.
CoRR, 2020
Comput. Aided Civ. Infrastructure Eng., 2020
Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Quantitative analysis of probe data characteristics: Coverage, speed bias and congestion detection precision.
J. Intell. Transp. Syst., 2019
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions.
CoRR, 2019
A deep learning based solution for construction equipment detection: from development to deployment.
CoRR, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the Advances in Computer Vision, 2019
2018
Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
J. Comput. Civ. Eng., 2017
Region-based deformable fully convolutional networks for multi-class object detection at signalized traffic intersections: NVIDIA AICity challenge 2017 Track 1.
Proceedings of the 2017 IEEE SmartWorld, 2017
Proceedings of the 11th International Conference on Distributed Smart Cameras, 2017
2016
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
Data driven exploration of traffic network system dynamics using high resolution probe data.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Performance comparison of two model based schemes for estimation of queue and delay at signalized intersections.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
Distributed traffic control for reduced fuel consumption and travel time in transportation networks.
Proceedings of the 14th European Control Conference, 2015
2013
Economic Analysis of Using a Renewable Wind Power System at a Signalized Intersection.
J. Intell. Transp. Syst., 2013