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ORCIDAnuj Sharma 0001
Person information
- affiliation: Iowa State University, Civil, Construction and Environmental Engineering, Ames, IA, USA
- affiliation (2008 - 2014): University of Nebraska-Lincoln, Department of Civil Engineering, Lincoln, NE, USA
- affiliation (PhD 2008): Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Anuj Sharma — disambiguation page
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2020 – today
- 2025
[i28]Aparna Joshi, Kojo Konadu Adu-Gyamfi, Jennifer Merickel, Pujitha Gunaratne, Anuj Sharma:
Driver Age and Its Effect on Key Driving Metrics: Insights from Dynamic Vehicle Data. CoRR abs/2501.06918 (2025)- [i27]Souradeep Chattopadhyay, Guillermo Basulto-Elias, Jun Ha Chang, Matthew Rizzo, Shauna Hallmark, Anuj Sharma, Soumik Sarkar:
Associating transportation planning-related measures with Mild Cognitive Impairment. CoRR abs/2504.09027 (2025) - [i26]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) - [i25]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) - [i24]Md. Zahid Hasan, Guillermo Basulto-Elias, Jun Ha Chang, Sahuna Hallmark, Matthew Rizzo, Anuj Sharma, Soumik Sarkar:
Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers From Driving Video. CoRR abs/2507.05463 (2025) - [i23]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:
The 9th AI City Challenge. CoRR abs/2508.13564 (2025) - [i22]Ibne Farabi Shihab, Weiheng Chai, Jiyang Wang, Sanjeda Akter, Senem Velipasalar Gursoy, Anuj Sharma:
Calibrated and Resource-Aware Super-Resolution for Reliable Driver Behavior Analysis. CoRR abs/2509.23535 (2025) - [i21]Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma:
Valid Stopping for LLM Generation via Empirical Dynamic Formal Lift. CoRR abs/2510.06478 (2025) - [i20]Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma:
Temporal Zoom Networks: Distance Regression and Continuous Depth for Efficient Action Localization. CoRR abs/2511.03943 (2025) - [i19]Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma:
LLM-Guided Probabilistic Fusion for Label-Efficient Document Layout Analysis. CoRR abs/2511.08903 (2025) - 2024
- [j13]Weiheng Chai
, Jiyang Wang, Jiajing Chen, Senem Velipasalar, Anuj Sharma:
Rethinking the Evaluation of Driver Behavior Analysis Approaches. IEEE Trans. Intell. Transp. Syst. 25(8): 9958-9966 (2024) - [j12]Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar:
Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos. IEEE Trans. Intell. Transp. Syst. 25(9): 11602-11616 (2024) - [c24]Mohammed Shaiqur Rahman, Ibne Farabi Shihab, Lynna Chu, Anuj Sharma:
DeepLocalization: Using change point detection for Temporal Action Localization. CVPR Workshops 2024: 7252-7260 - [c23]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:
The 8th AI City Challenge. CVPR Workshops 2024: 7261-7272 - [i18]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:
The 8th AI City Challenge. CoRR abs/2404.09432 (2024) - [i17]Mohammed Shaiqur Rahman, Ibne Farabi Shihab, Lynna Chu, Anuj Sharma:
DeepLocalization: Using change point detection for Temporal Action Localization. CoRR abs/2404.12258 (2024) - [i16]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
- [j11]Subhadipto Poddar, Pranamesh Chakraborty, Anuj Sharma, Skylar Knickerbocker, Neal Hawkins:
Massively parallelizable approach for evaluating signalized arterial performance using probe-based data. J. Intell. Transp. Syst. 27(4): 488-502 (2023) - [j10]Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma:
MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension. SoftwareX 24: 101588 (2023) - [j9]Weiheng Chai, Jiajing Chen, Jiyang Wang, Senem Velipasalar, Archana Venkatachalapathy, Yaw Adu-Gyamfi, Jennifer Merickel, Anuj Sharma:
Driver Head Pose Detection From Naturalistic Driving Data. IEEE Trans. Intell. Transp. Syst. 24(9): 9368-9377 (2023) - [c22]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:
The 7th AI City Challenge. CVPR Workshops 2023: 5538-5548 - [c21]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 - [c20]Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza, Matthew Rizzo, Pujitha Gunaratne, Anuj Sharma:
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach. ITSC 2023: 5750-5755 - [c19]Sahil Jaiswal, Pranamesh Chakraborty, Tingting Huang, Anuj Sharma:
Traffic Intersection Vehicle Movement Counts with Temporal and Visual Similarity based Re-Identification. MT-ITS 2023: 1-6 - [i15]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:
The 7th AI City Challenge. CoRR abs/2304.07500 (2023) - [i14]Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar:
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos. CoRR abs/2306.10159 (2023) - [i13]Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma:
MobiScout: A Scalable Cloud-Based Driving and Activity Monitoring Platform Featuring an IOS App and a WatchOS Extension. CoRR abs/2308.05698 (2023) - [i12]Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza, Matthew Rizzo, Pujitha Gunaratne, Anuj Sharma:
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach. CoRR abs/2310.02351 (2023) - 2022
- [j8]Saeed Arabi, Anuj Sharma, Michelle Reyes, Cara Hamann, Corinne Peek-Asa:
Farm Vehicle Following Distance Estimation Using Deep Learning and Monocular Camera Images. Sensors 22(7): 2736 (2022) - [j7]Jiyang Wang, Weiheng Chai, Archana Venkatachalapathy, Kai Liang Tan, Arya Haghighat, Senem Velipasalar, Yaw Adu-Gyamfi, Anuj Sharma:
A Survey on Driver Behavior Analysis From In-Vehicle Cameras. IEEE Trans. Intell. Transp. Syst. 23(8): 10186-10209 (2022) - [c18]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:
The 6th AI City Challenge. CVPR Workshops 2022: 3346-3355 - [i11]Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Jiyang Wang, Senem Velipasalar Gursoy, David C. Anastasiu, Shuo Wang:
Synthetic Distracted Driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver. CoRR abs/2204.08096 (2022) - [i10]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:
The 6th AI City Challenge. CoRR abs/2204.10380 (2022) - [i9]Armstrong Aboah, Yaw Adu-Gyamfi, Senem Velipasalar Gursoy, Jennifer Merickel, Matthew Rizzo, Anuj Sharma:
Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification. CoRR abs/2211.06463 (2022) - 2021
- [j6]Billur Kazaz, Subhadipto Poddar, Saeed Arabi, Michael A. Perez, Anuj Sharma, J. Blake Whitman:
Deep Learning-Based Object Detection for Unmanned Aerial Systems (UASs)-Based Inspections of Construction Stormwater Practices. Sensors 21(8): 2834 (2021) - [c17]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:
The 5th AI City Challenge. CVPR Workshops 2021: 4263-4273 - [c16]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:
ARA: A Wireless Living Lab Vision for Smart and Connected Rural Communities. WiNTECH 2021: 9-16 - [i8]Armstrong Aboah, Maged Shoman, Vishal Mandal, Sayedomidreza Davami, Yaw Adu-Gyamfi, Anuj Sharma:
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees. CoRR abs/2104.06856 (2021) - [i7]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:
The 5th AI City Challenge. CoRR abs/2104.12233 (2021) - [i6]Udita Jana, Jyoti Prakash Das Karmakar, Pranamesh Chakraborty, Tingting Huang, Dave Ness, Duane Ritcher, Anuj Sharma:
Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections. CoRR abs/2111.09171 (2021) - 2020
- [j5]Saeed Arabi, Arya Haghighat, Anuj Sharma:
A deep-learning-based computer vision solution for construction vehicle detection. Comput. Aided Civ. Infrastructure Eng. 35(7): 753-767 (2020) - [c15]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. CVPR Workshops 2020: 2665-2674 - [c14]Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma:
Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data. IV 2020: 238-245 - [i5]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. CoRR abs/2004.14619 (2020) - [i4]Tongge Huang, Pranamesh Chakraborty, Anuj Sharma:
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images. CoRR abs/2005.04188 (2020)
2010 – 2019
- 2019
- [j4]Vesal Ahsani, Mostafa Amin-Naseri, Skylar Knickerbocker, Anuj Sharma:
Quantitative analysis of probe data characteristics: Coverage, speed bias and congestion detection precision. J. Intell. Transp. Syst. 23(2): 103-119 (2019) - [c13]Koray Ozcan, Anuj Sharma, Skylar Knickerbocker, Jennifer Merickel, Neal Hawkins, Matthew Rizzo:
Road Weather Condition Estimation Using Fixed and Mobile Based Cameras. CVC (1) 2019: 192-204 - [c12]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:
The 2019 AI City Challenge. CVPR Workshops 2019: 452-460 - [i3]Saeed Arabi, Arya Haghighat, Anuj Sharma:
A deep learning based solution for construction equipment detection: from development to deployment. CoRR abs/1904.09021 (2019) - [i2]Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma:
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions. CoRR abs/1906.00093 (2019) - [i1]Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar:
Deep Reinforcement Learning for Adaptive Traffic Signal Control. CoRR abs/1911.06294 (2019) - 2018
- [c11]Yue Zu, Chenhui Liu, Ran Dai, Anuj Sharma:
Hybrid Optimal Control for Time-Efficient Highway Traffic Management. ACC 2018: 4983-4988 - [c10]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:
The 2018 NVIDIA AI City Challenge. CVPR Workshops 2018: 53-60 - [c9]Pranamesh Chakraborty, Anuj Sharma, Chinmay Hegde:
Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach. ITSC 2018: 1840-1845 - 2017
- [j3]Vincy Verghese, Chenhui Liu, Shankar C. Subramanian, Lelitha Vanajakshi, Anuj Sharma:
Development and Implementation of a Model-Based Road Traffic-Control Scheme. J. Comput. Civ. Eng. 31(3) (2017) - [c8]Koray Ozcan, Senem Velipasalar, Anuj Sharma:
Traffic Sign Detection from Lower-quality and Noisy Mobile Videos. ICDSC 2017: 15-20 - [c7]Milind Naphade, David C. Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Jerry Zeyu Gao:
The NVIDIA AI City Challenge. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [c6]Shuo Wang, Koray Ozcan, Anuj Sharma:
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 2017: 1-4 - 2016
- [j2]Chenhui Liu, Anuj Sharma, Edward Smaglik, Sirisha Kothuri:
TraSER: A traffic signal event-based recorder. SoftwareX 5: 156-162 (2016) - [c5]Chao Liu, Bowen Huang, Mo Zhao, Soumik Sarkar, Umesh Vaidya, Anuj Sharma:
Data driven exploration of traffic network system dynamics using high resolution probe data. CDC 2016: 7629-7634 - [c4]Sidharth Sudheer, Helen Thomas, Anuj Sharma, Lelitha Devi Vanajakshi:
Automated techniques for real time platoon detection and identification. ITSC 2016: 1820-1825 - 2015
- [c3]Ran Dai, Jing Dong, Anuj Sharma:
Distributed traffic control for reduced fuel consumption and travel time in transportation networks. ECC 2015: 2658-2663 - [c2]Yaw Adu-Gyamfi, Anuj Sharma, Skylar Knickerbocker, Neal Hawkins, Michael Jackson:
Reliability of Probe Speed Data for Detecting Congestion Trends. ITSC 2015: 2243-2249 - [c1]S. P. Anusha, Lelitha Vanajakshi, Shankar C. Subramanian, Anuj Sharma:
Performance comparison of two model based schemes for estimation of queue and delay at signalized intersections. Intelligent Vehicles Symposium 2015: 988-993 - 2013
- [j1]Mo Zhao, Anuj Sharma, Dave G. Bernt, Joshua A. Meyer, Benjamin Dickey, Scott Rosenbaugh, Elizabeth Jones, Laurence R. Rilett:
Economic Analysis of Using a Renewable Wind Power System at a Signalized Intersection. J. Intell. Transp. Syst. 17(3): 210-220 (2013)
Coauthor Index
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