Anuj Sharma - RankMe

99 papers A* 2A 1B 1C 2Journal 68Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2026	J	`jnl`	Beyond Accuracy: A Unified Random Matrix Theory Diagnostic Framework for Crash Classification Models. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2026	J	`jnl`	Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2026	J	`jnl`	CalPro: Prior-Aware Evidential-Conformal Prediction with Structure-Aware Guarantees for Protein Structures. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2026	J	`jnl`	Calibrated Adaptation: Bayesian Stiefel Manifold Priors for Reliable Parameter-Efficient Fine-Tuning. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2026	J	`jnl`	Certificate-Guided Pruning for Stochastic Lipschitz Optimization. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2026	—	`conf`	FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation. EACL (Findings) Fatema Siddika, Md. Anwar Hossen, Juan Pablo Muñoz, Tanya G. Roosta, Anuj Sharma, Ali Jannesari
2026	J	`jnl`	Grassmannian Mixture-of-Experts: Concentration-Controlled Routing on Subspace Manifolds. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2026	J	`jnl`	Learning to Forget Attention: Memory Consolidation for Adaptive Compute Reduction. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2026	J	`jnl`	On the Sparsifiability of Correlation Clustering: Approximation Guarantees under Edge Sampling. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2025	—	`conf`	Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models. ITSC Sudesh Ramesh Bhagat, Ibne Farabi Shihab, Jonathan Wood, Anuj Sharma
2025	J	`jnl`	Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models. CoRR Sudesh Ramesh Bhagat, Ibne Farabi Shihab, Anuj Sharma
2025	J	`jnl`	Associating transportation planning-related measures with Mild Cognitive Impairment. CoRR Souradeep Chattopadhyay, Guillermo Basulto-Elias, Jun Ha Chang, Matthew Rizzo, Shauna Hallmark, Anuj Sharma, Soumik Sarkar
2025	A*	`conf`	Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains. EMNLP Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2025	J	`jnl`	Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2025	J	`jnl`	Calibrated and Resource-Aware Super-Resolution for Reliable Driver Behavior Analysis. CoRR Ibne Farabi Shihab, Weiheng Chai, Jiyang Wang, Sanjeda Akter, Senem Velipasalar Gursoy, Anuj Sharma
2025	—	`conf`	ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery. ITSC Anush Lakshman Sivaraman, Kojo Konadu Adu-Gyamfi, Ibne Farabi Shihab, Anuj Sharma
2025	J	`jnl`	ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery. CoRR Anush Lakshman Sivaraman, Kojo Konadu Adu-Gyamfi, Ibne Farabi Shihab, Anuj Sharma
2025	J	`jnl`	Crash Time Matters: HybridMamba for Fine-Grained Temporal Localization in Traffic Surveillance Footage. CoRR Ibne Farabi Shihab, Anuj Sharma
2025	J	`jnl`	Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2025	J	`jnl`	Differentiable Entropy Regularization for Geometry and Neural Networks. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2025	J	`jnl`	Driver Age and Its Effect on Key Driving Metrics: Insights from Dynamic Vehicle Data. CoRR Aparna Joshi, Kojo Konadu Adu-Gyamfi, Jennifer Merickel, Pujitha Gunaratne, Anuj Sharma
2025	J	`jnl`	Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers From Driving Video. CoRR Md. Zahid Hasan, Guillermo Basulto-Elias, Jun Ha Chang, Sahuna Hallmark, Matthew Rizzo, Anuj Sharma, Soumik Sarkar
2025	A*	`conf`	Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments. EMNLP Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2025	J	`jnl`	Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2025	J	`jnl`	FedProtoKD: Dual Knowledge Distillation with Adaptive Class-wise Prototype Margin for Heterogeneous Federated Learning. CoRR Md. Anwar Hossen, Fatema Siddika, Wensheng Zhang, Anuj Sharma, Ali Jannesari
2025	J	`jnl`	FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation. CoRR Fatema Siddika, Md. Anwar Hossen, J. Pablo Muñoz, Tanya G. Roosta, Anuj Sharma, Ali Jannesari
2025	A	`conf`	HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems. ECAI Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2025	J	`jnl`	HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2025	J	`jnl`	Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems. CoRR Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma
2025	J	`jnl`	Inducing Faithfulness in Structured Reasoning via Counterfactual Sensitivity. CoRR Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma
2025	J	`jnl`	LLM-Guided Probabilistic Fusion for Label-Efficient Document Layout Analysis. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2025	J	`jnl`	Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges. CoRR Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma
2025	J	`jnl`	Selective Risk Certification for LLM Outputs via Information-Lift Statistics: PAC-Bayes, Robustness, and Skeleton Design. CoRR Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma
2025	J	`jnl`	Temporal Zoom Networks: Distance Regression and Continuous Depth for Efficient Action Localization. CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2025	—	`conf`	The 9th AI City Challenge. ICCVW Zheng Tang, Shuo Wang, David C. Anastasiu, Ming-Ching Chang, Anuj Sharma, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Ganzorig Batnasan, Munkh-Erdene Otgonbold, Fady Alnajjar, Jun-Wei Hsieh, Tomasz Kornuta, Xiaolong Li, Yilin Zhao, Han Zhang, Subhashree Radhakrishnan, Arihant Jain, Ratnesh Kumar, Vidya N. Murali, Yuxing Wang, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Xunlei Wu, Zhedong Zheng, Pranamesh Chakraborty, Rama Chellappa
2025	J	`jnl`	The 9th AI City Challenge. CoRR Zheng Tang, Shuo Wang, David C. Anastasiu, Ming-Ching Chang, Anuj Sharma, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Ganzorig Batnasan, Munkh-Erdene Otgonbold, Fady Alnajjar, Jun-Wei Hsieh, Tomasz Kornuta, Xiaolong Li, Yilin Zhao, Han Zhang, Subhashree Radhakrishnan, Arihant Jain, Ratnesh Kumar, Vidya N. Murali, Yuxing Wang, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Xunlei Wu, Zhedong Zheng, Pranamesh Chakraborty, Rama Chellappa
2025	J	`jnl`	Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment. CoRR Sudesh Ramesh Bhagat, Kandiboina Raghupathi, Ibne Farabi Shihab, Skylar Knickerbocker, Neal Hawkins, Anuj Sharma
2025	J	`jnl`	Valid Stopping for LLM Generation via Empirical Dynamic Formal Lift. CoRR Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma
2025	J	`jnl`	What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning? CoRR Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
2024	—	`conf`	DeepLocalization: Using change point detection for Temporal Action Localization. CVPR Workshops Mohammed Shaiqur Rahman, Ibne Farabi Shihab, Lynna Chu, Anuj Sharma
2024	J	`jnl`	DeepLocalization: Using change point detection for Temporal Action Localization. CoRR Mohammed Shaiqur Rahman, Ibne Farabi Shihab, Lynna Chu, Anuj Sharma
2024	J	`jnl`	Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments. CoRR Ibne Farabi Shihab, Benjir Islam Alvee, Sudesh Ramesh Bhagat, Anuj Sharma
2024	J	`jnl`	Rethinking the Evaluation of Driver Behavior Analysis Approaches. IEEE Trans. Intell. Transp. Syst. Weiheng Chai, Jiyang Wang, Jiajing Chen, Senem Velipasalar, Anuj Sharma
2024	—	`conf`	The 8th AI City Challenge. CVPR Workshops Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa
2024	J	`jnl`	The 8th AI City Challenge. CoRR Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa
2024	J	`jnl`	Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos. IEEE Trans. Intell. Transp. Syst. Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar
2023	J	`jnl`	A computer vision-based deep learning model to detect wrong-way driving using pan-tilt-zoom traffic cameras. Comput. Aided Civ. Infrastructure Eng. Arya Haghighat, Anuj Sharma
2023	J	`jnl`	Driver Head Pose Detection From Naturalistic Driving Data. IEEE Trans. Intell. Transp. Syst. Weiheng Chai, Jiajing Chen, Jiyang Wang, Senem Velipasalar, Archana Venkatachalapathy, Yaw Adu-Gyamfi, Jennifer Merickel, Anuj Sharma
2023	—	`conf`	Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach. ITSC Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza, Matthew Rizzo, Pujitha Gunaratne, Anuj Sharma
2023	J	`jnl`	Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach. CoRR Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza, Matthew Rizzo, Pujitha Gunaratne, Anuj Sharma
2023	J	`jnl`	Massively parallelizable approach for evaluating signalized arterial performance using probe-based data. J. Intell. Transp. Syst. Subhadipto Poddar, Pranamesh Chakraborty, Anuj Sharma, Skylar Knickerbocker, Neal Hawkins
2023	J	`jnl`	MobiScout: A Scalable Cloud-Based Driving and Activity Monitoring Platform Featuring an IOS App and a WatchOS Extension. CoRR Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma
2023	J	`jnl`	MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension. SoftwareX Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma
2023	—	`conf`	Robust and Precise Sidewalk Detection with Ensemble Learning: Enhancing Road Safety and Facilitating Curb Space Management. ITSC Ibne Farabi Shihab, Sudesh Ramesh Bhagat, Anuj Sharma
2023	—	`conf`	The 7th AI City Challenge. CVPR Workshops Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa
2023	J	`jnl`	The 7th AI City Challenge. CoRR Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa
2023	—	`conf`	Traffic Intersection Vehicle Movement Counts with Temporal and Visual Similarity based Re-Identification. MT-ITS Sahil Jaiswal, Pranamesh Chakraborty, Tingting Huang, Anuj Sharma
2023	J	`jnl`	Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos. CoRR Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar
2022	J	`jnl`	A Survey on Driver Behavior Analysis From In-Vehicle Cameras. IEEE Trans. Intell. Transp. Syst. Jiyang Wang, Weiheng Chai, Archana Venkatachalapathy, Kai Liang Tan, Arya Haghighat, Senem Velipasalar, Yaw Adu-Gyamfi, Anuj Sharma
2022	J	`jnl`	Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification. CoRR Armstrong Aboah, Yaw Adu-Gyamfi, Senem Velipasalar Gursoy, Jennifer Merickel, Matthew Rizzo, Anuj Sharma
2022	J	`jnl`	Farm Vehicle Following Distance Estimation Using Deep Learning and Monocular Camera Images. Sensors Saeed Arabi, Anuj Sharma, Michelle Reyes, Cara Hamann, Corinne Peek-Asa
2022	J	`jnl`	Synthetic Distracted Driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver. CoRR Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Jiyang Wang, Senem Velipasalar Gursoy, David C. Anastasiu, Shuo Wang
2022	—	`conf`	The 6th AI City Challenge. CVPR Workshops Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa
2022	J	`jnl`	The 6th AI City Challenge. CoRR Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa
2021	J	`jnl`	A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees. CoRR Armstrong Aboah, Maged Shoman, Vishal Mandal, Sayedomidreza Davami, Yaw Adu-Gyamfi, Anuj Sharma
2021	J	`jnl`	A data-driven personalized smart lighting recommender system. CoRR Atousa Zarindast, Jonathan Wood, Anuj Sharma
2021	—	`conf`	ARA: A Wireless Living Lab Vision for Smart and Connected Rural Communities. WiNTECH Hongwei Zhang, Yong Guan, Ahmed E. Kamal, Daji Qiao, Mai Zheng, Anish Arora, Ozdal Boyraz, Brian Cox, Thomas Daniels, Matthew J. Darr, Doug Jacobson, Ashfaq Khokhar, Sang Wu Kim, James Koltes, Jia Liu, Mike Luby, Larysa Nadolny, Joshua M. Peschel, Patrick S. Schnable, Anuj Sharma, Arun Somani, Lie Tang
2021	J	`jnl`	Application of text mining in smart lighting literature - an analysis of existing literature and a research agenda. Int. J. Inf. Manag. Data Insights Atousa Zarindast, Anuj Sharma, Jonathan Wood
2021	J	`jnl`	Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections. CoRR Udita Jana, Jyoti Prakash Das Karmakar, Pranamesh Chakraborty, Tingting Huang, Dave Ness, Duane Ritcher, Anuj Sharma
2021	J	`jnl`	Big Data application in congestion detection and classification using Apache spark. CoRR Atousa Zarindast, Anuj Sharma
2021	J	`jnl`	Deep Learning-Based Object Detection for Unmanned Aerial Systems (UASs)-Based Inspections of Construction Stormwater Practices. Sensors Billur Kazaz, Subhadipto Poddar, Saeed Arabi, Michael A. Perez, Anuj Sharma, J. Blake Whitman
2021	—	`conf`	The 5th AI City Challenge. CVPR Workshops Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. López, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff
2021	J	`jnl`	The 5th AI City Challenge. CoRR Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff
2020	J	`jnl`	A deep-learning-based computer vision solution for construction vehicle detection. Comput. Aided Civ. Infrastructure Eng. Saeed Arabi, Arya Haghighat, Anuj Sharma
2020	J	`jnl`	Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images. CoRR Tongge Huang, Pranamesh Chakraborty, Anuj Sharma
2020	C	`conf`	Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data. IV Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma
2020	—	`conf`	The 4th AI City Challenge. CVPR Workshops Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty
2020	J	`jnl`	The 4th AI City Challenge. CoRR Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty
2019	J	`jnl`	A deep learning based solution for construction equipment detection: from development to deployment. CoRR Saeed Arabi, Arya Haghighat, Anuj Sharma
2019	J	`jnl`	Deep Reinforcement Learning for Adaptive Traffic Signal Control. CoRR Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar
2019	J	`jnl`	Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions. CoRR Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma
2019	J	`jnl`	Quantitative analysis of probe data characteristics: Coverage, speed bias and congestion detection precision. J. Intell. Transp. Syst. Vesal Ahsani, Mostafa Amin-Naseri, Skylar Knickerbocker, Anuj Sharma
2019	—	`conf`	Road Weather Condition Estimation Using Fixed and Mobile Based Cameras. CVC (1) Koray Ozcan, Anuj Sharma, Skylar Knickerbocker, Jennifer Merickel, Neal Hawkins, Matthew Rizzo
2019	—	`conf`	The 2019 AI City Challenge. CVPR Workshops Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, Siwei Lyu
2018	—	`conf`	Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach. ITSC Pranamesh Chakraborty, Anuj Sharma, Chinmay Hegde
2018	C	`conf`	Hybrid Optimal Control for Time-Efficient Highway Traffic Management. ACC Yue Zu, Chenhui Liu, Ran Dai, Anuj Sharma
2018	—	`conf`	The 2018 NVIDIA AI City Challenge. CVPR Workshops Milind Naphade, Ming-Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu
2017	J	`jnl`	Development and Implementation of a Model-Based Road Traffic-Control Scheme. J. Comput. Civ. Eng. Vincy Verghese, Chenhui Liu, Shankar C. Subramanian, Lelitha Vanajakshi, Anuj Sharma
2017	—	`conf`	Region-based deformable fully convolutional networks for multi-class object detection at signalized traffic intersections: NVIDIA AICity challenge 2017 Track 1. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Shuo Wang, Koray Ozcan, Anuj Sharma
2017	—	`conf`	The NVIDIA AI City Challenge. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Milind Naphade, David C. Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Jerry Zeyu Gao
2017	—	`conf`	Traffic Sign Detection from Lower-quality and Noisy Mobile Videos. ICDSC Koray Ozcan, Senem Velipasalar, Anuj Sharma
2016	—	`conf`	Automated techniques for real time platoon detection and identification. ITSC Sidharth Sudheer, Helen Thomas, Anuj Sharma, Lelitha Devi Vanajakshi
2016	—	`conf`	Data driven exploration of traffic network system dynamics using high resolution probe data. CDC Chao Liu, Bowen Huang, Mo Zhao, Soumik Sarkar, Umesh Vaidya, Anuj Sharma
2016	J	`jnl`	TraSER: A traffic signal event-based recorder. SoftwareX Chenhui Liu, Anuj Sharma, Edward Smaglik, Sirisha Kothuri
2015	—	`conf`	Distributed traffic control for reduced fuel consumption and travel time in transportation networks. ECC Ran Dai, Jing Dong, Anuj Sharma
2015	B	`conf`	Performance comparison of two model based schemes for estimation of queue and delay at signalized intersections. Intelligent Vehicles Symposium S. P. Anusha, Lelitha Vanajakshi, Shankar C. Subramanian, Anuj Sharma
2015	—	`conf`	Reliability of Probe Speed Data for Detecting Congestion Trends. ITSC Yaw Adu-Gyamfi, Anuj Sharma, Skylar Knickerbocker, Neal Hawkins, Michael Jackson
2013	J	`jnl`	Economic Analysis of Using a Renewable Wind Power System at a Signalized Intersection. J. Intell. Transp. Syst. Mo Zhao, Anuj Sharma, Dave G. Bernt, Joshua A. Meyer, Benjamin Dickey, Scott Rosenbaugh, Elizabeth Jones, Laurence R. Rilett